System
A system using cameras and a visualization system to detect and analyze cargo handling operations provides tailored advice for reducing stay time at logistics warehouses, addressing inefficiencies and costs by identifying and optimizing key times and methods.
Patent Information
- Application Number
- JP2024101634
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-06-25
- Publication Date
- 2026-01-14
Smart Images

Figure 2026003650000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to technology for a system used at a logistics center. [Background technology]
[0002] Conventionally, various systems have been used at logistics bases such as warehouses, for example, as described in Patent Document 1.
[0003] The logistics system described in Patent Document 1 includes a work terminal and a management system. The work terminal is provided on a transport vehicle that transports goods from a logistics warehouse. The management system is configured to monitor the progress of preparations for leaving the warehouse (such as assembling goods). If the preparations for leaving the warehouse are behind schedule, the management system notifies the driver of the transport vehicle of the delay information via the work terminal.
[0004] According to this configuration, the driver can know that preparation for leaving the warehouse will be delayed before arriving at the logistics warehouse, so he can use his time effectively. For example, he can add a break time before arriving at the logistics warehouse. By delaying the arrival of the transport vehicle in this way, the transport vehicle's stay time at the logistics warehouse can be shortened.
[0005] Here, in a logistics warehouse, after preparations for delivery are complete, the work of loading goods onto a transport vehicle (loading and unloading work) is carried out. The logistics system of Patent Document 1 is considered to be effective for logistics warehouses where the waiting time is relatively long, between the waiting time until delivery preparations are complete and the time required for loading and unloading work. Also, for logistics warehouses where the time required for loading and unloading work is relatively long, measures that can shorten loading and unloading work (for example, forklifts, etc.) are considered to be effective. As such, the effective measures vary depending on whether the waiting time or the time required for loading and unloading work is to be shortened, so when shortening the dwell time, it is necessary to understand the breakdown of the dwell time.
[0006] However, depending on the operation of the logistics warehouse, it may be difficult to grasp this breakdown. For example, if the entry date and time of transport vehicles is recorded manually, waiting time may not be known due to missing records. For this reason, there is a need for technology that can grasp the breakdown of stay time and make it easier to take measures (to promote the reduction of stay time). [Prior art documents] [Patent documents]
[0007] [Patent Document 1] Patent No. 7092201 Summary of the Invention [Problem to be solved by the invention]
[0008] The present invention has been made in view of the above circumstances, and the problem to be solved by the present invention is to provide a system that can promote a reduction in stay time. [Means for solving the problem]
[0009] The problem to be solved by the present invention is as described above, and the means for solving this problem will now be described.
[0010] That is, claim 1 provides a system for assisting in shortening the stay time of vehicles transporting cargo at a logistics center, and includes a detection unit that detects, from the stay time, the time for cargo handling operations including loading and unloading of the cargo, and the pre-operation time from when the vehicle arrives at the logistics center until the loading and unloading operation begins, and a provision unit that provides advice on shortening the stay time based on the detection results of the detection unit.
[0011] In claim 2, the detection unit, in detecting the pre-work time, detects a first pre-work time from when the vehicle enters the logistics base to when it arrives at a berth at the logistics base, and a second pre-work time from when the vehicle arrives at the berth to when the loading and unloading work begins.
[0012] In claim 3, the providing unit identifies at least one of the first pre-work time, the second pre-work time, or the loading and unloading work time that should be shortened by comparing the detection result of the detecting unit with a predetermined reference value, and provides the time as the advice.
[0013] In claim 4, the providing unit provides as the advice a method of shortening at least one of the pre-work time, the second pre-work time, or the loading and unloading work time, which is specified in advance, to a value less than the detection result of the at least one time by the detecting unit.
[0014] In claim 5, the providing unit provides at least one of the abbreviated methods narrowed down according to the characteristics of the logistics base from among the plurality of abbreviated methods.
[0015] In claim 6, the characteristics of the logistics base include at least one of the regularity of the shipment and receipt of the goods, the operating hours of the logistics base, and the control method within the logistics base.
[0016] In claim 7, the providing unit provides the multiple shortening methods by ranking the shortening methods in order of ease of introduction to the logistics base.
[0017] In claim 8, the apparatus further comprises a prediction unit that predicts the magnitude of the effect when the shortening method is used.
[0018] In claim 9, the providing unit can provide the reduction method that achieves a preset target value of the staying time in the site.
[0019] In claim 10, the logistics center further includes a photographing unit that photographs the interior of the logistics center, and the detection unit further detects at least one of the packaging style when transporting the luggage in the vehicle or the loading and unloading equipment used in the loading and unloading work, and detects at least one of the packaging style or the loading and unloading equipment, the pre-work time, and the loading and unloading work time based on the photographing results of the photographing unit.
[0020] Claim 11 provides a system for acquiring information to assist in reducing the residence time of a vehicle transporting cargo at a logistics center, the system comprising: a photographing unit that photographs the interior of the logistics center; and a detection unit that detects the information based on the photographing results of the photographing unit, wherein the information includes, within the residence time, the time spent on cargo handling operations including loading and unloading the cargo; within the residence time, the pre-operation time from the arrival of the vehicle at the logistics center until the start of the cargo handling operation; and at least one of the packaging style of the cargo when transporting it by the vehicle or the cargo handling equipment used in the cargo handling operation. [Effects of the Invention]
[0021] The present invention has the following effects.
[0022] Claim 1 can promote a reduction in stay time.
[0023] In claim 2, the breakdown of pre-work time can be grasped.
[0024] In claim 3, it is possible to grasp the time that should be reduced.
[0025] In claim 4, the shortening method can be grasped.
[0026] In claim 5, it is possible to provide an appropriate shortening method according to the characteristics of the logistics base.
[0027] In claim 6, an appropriate shortening method can be provided depending on the regularity of shipments and receipts.
[0028] In claim 7, it is possible to grasp an easy-to-implement shortening method, thereby improving convenience.
[0029] In claim 8, the magnitude of the effect when the shortening method is used can be grasped, thereby improving convenience.
[0030] According to claim 9, a shortening method that can achieve the target value can be obtained, thereby improving convenience.
[0031] According to claim 10, the length of stay can be further reduced.
[0032] According to claim 11, it is possible to promote a reduction in stay time. [Brief explanation of the drawings]
[0033] [Figure 1] An explanatory diagram showing the flow of cargo from the sender's warehouse to the receiver's warehouse. [Figure 2] FIG. 1 is a block diagram showing an assistance system. [Figure 3] FIG. 10 is an explanatory diagram showing waiting time, cargo waiting time, and cargo handling time. [Figure 4] FIG. [Figure 5] A diagram showing the functions of the proposed system. [Figure 6] FIG. [Figure 7] FIG. 10 is a diagram showing the flow of a process for proposing a time to be reduced. [Figure 8] FIG. 10 is a diagram showing a proposal screen on which a shortening method is displayed. [Figure 9] FIG. 10 is a diagram showing the flow of a process for proposing a shortening method. [Figure 10] FIG. 10 is a diagram showing an improvement solution table. [Figure 11] (a) A diagram showing a standard time table for waiting time. (b) A diagram showing a standard time table for loading and unloading time. [Figure 12] FIG. 10 is a diagram showing a proposal screen in which the cost is predicted when the shortening method selected by the shipper is implemented. [Figure 13] FIG. 10 is a diagram showing the flow of a process for predicting the cost when a shortening method selected by a shipper is implemented. [Figure 14] FIG. 10 is a diagram showing a proposal screen displaying a shortening method that can achieve a target value. [Figure 15] FIG. 10 is a diagram showing a process flow for proposing a shortening method based on a target value. DETAILED DESCRIPTION OF THE INVENTION
[0034] The following describes a support system 10 according to one embodiment of the present invention.
[0035] The support system 10 is a system used at a logistics base. The support system 10 is used, for example, when a shipper considers a method for shortening the stay time of a vehicle transporting a package N at the logistics base. Note that, although the logistics base in this embodiment is a warehouse of the shipper, the logistics base is not limited to a warehouse as long as it is a place where the package N is received and shipped.
[0036] First, an example of the procedure for storing and retrieving a package N will be described below, taking as an example the case of transporting a package N from a consignor's warehouse to a consignee's warehouse as shown in Figure 1. Note that in this embodiment, the package N is transported by a truck T, but the type of vehicle that transports the package N is not limited to a truck T.
[0037] When the consignor orders package N from the consignee, the consignor contacts a logistics company and arranges for truck T (not shown). At this time, a transportation schedule for package N is determined. For example, the scheduled arrival date and time of truck T at the consignor's warehouse and the consignee's warehouse are determined.
[0038] Truck T moves toward the sender's warehouse so as not to be late for the scheduled delivery. At the sender's warehouse, cargo sorting work is carried out to collect cargo N at berth B. Berth B is the location where cargo N is loaded and unloaded. Multiple berths B are provided in the warehouse.
[0039] When truck T arrives at the warehouse and the sorting process is completed, truck T is guided to berth B. After truck T arrives at berth B, cargo N collected during the sorting process is loaded onto truck T. After loading cargo N is completed, truck T leaves berth B and leaves the sender's warehouse. Truck T then moves toward the receiver's warehouse.
[0040] After truck T arrives at the consignee's warehouse, it is guided to berth B and parks there. After cargo N is unloaded from truck T, truck T leaves berth B and leaves the consignee's warehouse. This completes the loading and unloading of cargo N.
[0041] In this embodiment, the work of loading and unloading cargo N onto a truck T is referred to as "cargo handling work." In the cargo handling work, equipment such as a forklift K1 may be used (see FIG. 3). In this embodiment, the equipment used in the cargo handling work is referred to as "cargo handling equipment K." In addition, in the cargo handling work, multiple cargoes N may be transported together using fixtures J. Examples of the fixtures J include a basket cart J1 (see FIG. 1) with a railing on top of a dolly, and a flat pallet J2 (see FIG. 3) that can be transported by a forklift K1. In this embodiment, the appearance of the cargo N including the fixtures J is referred to as "packaging."
[0042] Here, when loading and unloading the above-mentioned cargo N, truck T may stay at the warehouse for a long time. For example, when truck T arrives at the sender's warehouse, the loading and unloading process may not be completed, and truck T may have to wait until the loading and unloading process is completed, causing truck T to stay at the warehouse for a long time. In this case, the driver's working hours (waiting time, etc.) increase. Furthermore, as working hours increase, the fee to the logistics company also increases.
[0043] The support system 10 of this embodiment, for example, supports the shipper in shortening the stay time of truck T by proposing a method to the shipper to shorten the stay time, thereby reducing the cost to the logistics company. Note that this embodiment assumes that a plurality of shippers will use the support system 10. The configuration of the support system 10 will be described below. As shown in FIG. 2, the support system 10 includes a camera 20, a visualization system 30, and a proposal system 40.
[0044] The camera 20 photographs the inside of the shipper's warehouse. As shown in FIG. 3, a plurality of cameras 20 are installed in the warehouse so that they can photograph the movement of trucks T and cargo handling operations within the warehouse. In addition, a camera 20 is installed in the warehouse of each shipper who uses the support system 10 (not shown). An example of the installation location of the camera 20 will be described below.
[0045] Camera 20 is installed at entrance E of the warehouse premises. Camera 20 photographs truck T entering the warehouse. Camera 20 is also installed at berth B. Camera 20 photographs truck T using (pulling up or leaving) berth B, the state of the package, and cargo handling equipment K. Hereinafter, camera 20 installed at entrance E of the warehouse will be referred to as "first camera 21." Camera 20 installed at berth B will be referred to as "second camera 22."
[0046] The visualization system 30 shown in FIG. 2 is a system that visualizes the movement of truck T within a warehouse, loading and unloading operations, etc. The hardware configuration of the visualization system 30 is not particularly limited. The visualization system 30 may be built on a cloud server or in an on-premise environment. The software configuration of the visualization system 30 will be described below. The visualization system 30 includes an analysis unit 31, a data collection unit 32, a screen generation unit 33, and a data provision unit 34.
[0047] The analysis unit 31 analyzes the photographing results of the camera 20. The analysis unit 31 is connected to the camera 20 that can acquire the photographing results. The analysis unit 31 is also configured to analyze the photographing results acquired from the camera 20 using AI (Artificial Intelligence).
[0048] For example, the analysis unit 31 identifies the truck T that has entered the warehouse from the photographing results of the first camera 21 shown in Fig. 3. In this case, the analysis unit 31 can identify the truck T by, for example, detecting the vehicle number of the truck T from the photographing results and comparing it with a predetermined database. In addition, the analysis unit 31 detects the identified truck T, the packaging style and loading / unloading equipment K, the person performing the loading / unloading work, etc. from the photographing results of the second camera 22.
[0049] Furthermore, the analysis unit 31 detects the time that the identified truck T stays in the warehouse by dividing it into multiple time periods (items) based on the detection result and the date and time of the image taken by the camera 20. In this embodiment, the analysis unit 31 detects the time period by dividing it into waiting time TM1, cargo waiting time TM2, and cargo handling time TM3.
[0050] Waiting time TM1 is the time required for truck T to move to berth B. Waiting time TM1 includes not only the travel time of truck T but also the time truck T waits in waiting areas and roadways provided in the warehouse. In this embodiment, waiting time TM1 is the time from when truck T enters the warehouse to when truck T approaches berth B. The date and time when truck T enters the warehouse can be calculated from truck T identified by the first camera 21 and the date and time of the photograph taken by the first camera 21. The date and time when truck T approaches berth B can be calculated from truck T detected by the second camera 22 and the date and time of the photograph taken by the second camera 22.
[0051] The cargo waiting time TM2 is the time from when truck T arrives at berth B until the start of cargo handling operations. The date and time when cargo handling operations start can be calculated from the shape of the cargo and cargo handling equipment K detected by second camera 22, and the date and time of the image taken by second camera 22. Even if truck T arrives at berth B, the driver may be forced to wait at berth B due to insufficient preparation of cargo N, incorrect deployment of workers (shipping / receiving personnel) to perform the cargo handling operations, etc. By detecting cargo waiting time TM2, it is possible to determine this waiting time at berth B.
[0052] The loading and unloading time TM3 is the time required to load and unload the cargo N (loading and unloading work). In this embodiment, the loading and unloading time TM3 includes not only the time for loading and unloading, but also the time required for the truck T to leave berth B after loading and unloading is completed. In this embodiment, the loading and unloading time TM3 is the time from when the loading and unloading work starts until the truck T leaves berth B. Therefore, if the driver performs other work (inspection, etc.) between loading and unloading the cargo N and leaving berth B, the loading and unloading time TM3 also includes the time for that work. The date and time when the truck T leaves berth B can be calculated from the truck T detected by the second camera 22 and the date and time of the photograph taken by the second camera 22.
[0053] The analysis unit 31 also detects the time during which the loading and unloading equipment K (forklift K1) was used within the loading and unloading time TM3, based on the loading and unloading equipment K detected by the second camera 22 and the date and time of the image captured by the second camera 22. The analysis unit 31 also detects the time during which manual loading and unloading work was performed within the loading and unloading time TM3. For example, the analysis unit 31 reverse-calculates the time of manual work from the time during which the loading and unloading equipment K was used and the loading and unloading time TM3.
[0054] Furthermore, the analysis unit 31 detects the time required to load and unload the luggage N for each packaging style based on the packaging style detected by the second camera 22 and the date and time of the image taken by the second camera 22. For example, the analysis unit 31 detects the time required to load and unload the luggage N using a basket cart J1, the time required to load and unload the luggage using a pallet J2, and the time required to load and unload the luggage N loose (without fixtures J).
[0055] As described above, the camera 20 is installed in the warehouse of each shipper. The analysis unit 31 detects the waiting time TM1, etc. for each shipper. The detection results of the analysis unit 31 are stored in a storage device (not shown) as appropriate. In this way, the support system 10 accumulates the waiting time TM1, etc. for each shipper.
[0056] 2 is a part that collects various types of information. For example, the data collection unit 32 can collect the detection results of the analysis unit 31. The data collection unit 32 can also collect information by communicating with the berth reservation system R.
[0057] The berth reservation system R manages various information so that a logistics company can reserve a berth B. The berth reservation system R manages, for example, identification information of the shipper, identification information of the logistics company, identification information of the truck T, identification information of the cargo N, identification information of the reserved berth B, and the scheduled date and time of using berth B. The data collection unit 32 can collect this information.
[0058] Furthermore, the data collection unit 32 can transmit the actual value of berth usage (for example, the date and time when the vehicle arrived at berth B) to the berth reservation system R. In this embodiment, there are warehouses in which the berth reservation system R has not been introduced.
[0059] The screen generation unit 33 is a part that generates a performance display screen 50 (see FIG. 4) that displays the detection results, etc., of the analysis unit 31. The screen generation unit 33 is configured to acquire the detection results, such as the waiting time TM1, via the data collection unit 32, and generate the performance display screen 50. The performance display screen 50 will be described later.
[0060] The data providing unit 34 is a part that provides various information to the shipper and the logistics company. For example, the data providing unit 34 can transmit the entry data of truck T (such as the date and time when it entered the warehouse), the arrival data of truck T (such as the date and time when it arrived at berth B), the usage status data of berth B, the loading and unloading operation data, the waiting time fee data, the loading fee data, the unloading fee data, and the like to a terminal owned by the shipper, etc.
[0061] The usage status data of berth B is information that enables, for example, a shipper or the like to determine the usage status of berth B. The usage status data of berth B may be, for example, information indicating berth B that is currently or has been used in the past. The usage status data of berth B can be generated from the photographing results of the second camera 22.
[0062] The cargo handling work data is, for example, information that reveals the actual state of the cargo handling work. The cargo handling work data may be, for example, information indicating the presence or absence of cargo handling equipment K, the style of packaging, etc. The cargo handling work data can be generated from the cargo handling equipment K, the style of packaging, etc. detected by the analysis unit 31.
[0063] The waiting time fee data is information indicating the fee to the logistics company incurred during the waiting time TM1. The waiting time fee data can be calculated, for example, from the waiting time TM1 detected by the analysis unit 31 and a preset unit price. The loading fee data is information indicating the fee to the logistics company incurred when the driver loads cargo N onto the truck T. The unloading fee data is information indicating the fee to the logistics company incurred when the driver unloads cargo N from the truck T. The loading fee data and the unloading fee data can be calculated, for example, from the loading and unloading time TM3 detected by the analysis unit 31 and a preset unit price.
[0064] The following describes the performance display screen 50 generated by the screen generation unit 33. The performance display screen 50 shown in Fig. 4 is a screen that displays the detection results of the waiting time TM1, etc. The screen generation unit 33 communicates with a terminal owned by each shipper, for example, and causes the terminal to display the performance display screen 50. The screen generation unit 33 also displays the waiting time TM1, etc. (detection results) at the warehouse of the shipper who owns the terminal, for each incoming and outgoing shipment.
[0065] The performance display screen 50 includes a vehicle number display section 51, an entry time display section 52, a time display section 53, and a work content display section 54. The vehicle number display section 51 is a section that displays the vehicle number of the truck T identified by the analysis section 31. The entry time display section 52 is a section that displays the entry time of the truck T into the warehouse. The time display section 53 is a section that displays the detection results of the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 of the truck T. In the time display section 53 of this embodiment, the waiting time TM1, etc. are displayed using a bar graph.
[0066] The work content display section 54 is a section that displays the details of the loading and unloading work for the truck T that entered at the entry time. The work content display section 54 of this embodiment includes a first section 54a that displays the details of the loading and unloading equipment K, and a second section 54b that displays the details of the type of packaging. The first section 54a displays the detection results of the time when the loading and unloading equipment K was used and the detection results of the time when the loading and unloading work was performed manually. The second section 54b displays the loading and unloading time (detection results) for each type of packaging. For example, the time when the cart J1, pallet J2, and fixture J were loaded and unloaded without using them (loose) is displayed. The work content display section 54 of this embodiment displays the time when the loading and unloading equipment K was used, etc., using a bar graph.
[0067] In this embodiment, the time display unit 53 displays the residence time in detail (divided into waiting time TM1, cargo waiting time TM2, and cargo handling time TM3), which makes it easier for the shipper to take measures to shorten the residence time.
[0068] More specifically, there are various methods for shortening dwell time, such as adding a berth reservation system R, adding cargo handling equipment K, and adding fixtures J. Of these, the berth reservation system R aims to reduce waiting time TM1 by alleviating congestion at berth B. On the other hand, the cargo handling equipment K and fixtures J aim to reduce loading and unloading time TM3 by making loading and unloading work more efficient. As such, the content of the measures will differ depending on whether waiting time, cargo waiting time TM2, or loading and unloading time TM3 is being reduced, and therefore, in order to reduce dwell time, it is necessary to understand the breakdown of the dwell time.
[0069] In this embodiment, the camera 20 photographs the inside of the warehouse and analyzes the results to individually detect waiting time TM1 and display them on the time display unit 53. By visually checking the time display unit 53, the shipper can grasp the breakdown of the stay time. This reduces the burden of grasping the breakdown of the stay time. Furthermore, since the shipper can easily determine which of the waiting time TM1, cargo waiting time TM2, etc. should be shortened, they can take appropriate measures depending on the time to be shortened. For example, they can determine that the waiting time TM1 should be shortened and introduce the berth reservation system R.
[0070] The work content display section 54 also displays the time during which the cargo handling equipment K was used, etc. Therefore, the shipper can more easily take measures to shorten the cargo handling time TM3 by visually checking the work content display section 54. For example, it is easy to determine whether it is more effective to add cargo handling equipment K or furniture J.
[0071] In this way, according to the visualization system 30, information such as waiting time TM1 to assist in reducing (shortening) the stay time is provided to the shipper, making it easier to take measures to shorten the stay time and promoting the shortening of the stay time.
[0072] The visualization system 30 can provide the shipper with not only the detection results of the analysis unit 31 but also the photographing results of the camera 20. This can improve convenience.
[0073] The proposed system 40 shown in FIG. 2 provides the shipper with advice that is useful for shortening the stay time of truck T. The hardware configuration of the proposed system 40 is not particularly limited. The software configuration of the proposed system 40 will be described below. The proposed system 40 includes a proposal unit 41 and a prediction unit 42.
[0074] The proposal unit 41 prepares and provides advice to the shipper. For example, the proposal unit 41 can propose the time that should be shortened within the waiting time TM1, etc., and methods for shortening the stay time. The prediction unit 42 predicts the magnitude of the effect when measures to shorten the stay time are taken. The proposal system 40 is configured to combine the processing of the proposal unit 41 and the prediction unit 42 to realize the time proposal function, method proposal function, prediction function, and automatic selection function shown in FIG. 5. In this embodiment, each function is provided to the shipper through a proposal screen 60. Therefore, hereinafter, the contents of the proposal screen 60 will first be explained, and then the contents of each function will be explained. Furthermore, in the explanation of each function, the processing of the proposal unit 41 and the prediction unit 42 will be explained in detail.
[0075] The proposal screen 60 shown in FIG. 6 is a screen that displays the evaluation results of the waiting time TM1, etc., and thereby provides the shipper with advice that will help shorten the stay time. The proposal screen 60 is generated by the proposal unit 41. The proposal unit 41 communicates with, for example, a terminal owned by each shipper, and displays the proposal screen 60 on that terminal. The proposal unit 41 also displays advice appropriate to each shipper on the proposal screen 60. Hereinafter, one shipper to whom advice is provided will be referred to as the "shipper." The proposal screen 60 includes a price display unit 61 and a time display unit 62.
[0076] The fee display section 61 is a section that displays the fee to the logistics company incurred at the shipper's warehouse. As shown in FIG. 6, the "total fee for waiting for cargo, handling, etc." in the fee display section 61 includes a "waiting time fee" and a "loading fee, unloading fee." The "waiting time fee" also includes the "waiting time" (waiting time TM1 at the shipper's warehouse) and the "loading waiting time" (loading waiting time TM2 at the shipper's warehouse) in the time display section 62. The "waiting time fee" also includes the "loading and unloading time" (loading and unloading time TM3 at the shipper's warehouse) in the time display section 62.
[0077] The time display unit 62 is a section that displays, by item, the time during which the truck T's stay time requires payment of a fee to the logistics company. In this embodiment, the time display unit 62 displays, for example, the average value of the waiting time TM1 (the average value for one entry / exit), the average value of the cargo waiting time TM2, and the average value of the loading / unloading time TM3 for multiple entries / exits during a specific period. Note that the specific period is not particularly limited. For example, the specific period may be the most recent year. The proposal unit 41 can calculate the time to be displayed on the time display unit 62 by obtaining the waiting time TM1, etc. from the visualization system 30 (see FIG. 2).
[0078] The following describes the time proposal function, method proposal function, prediction function, and automatic selection function realized by the proposal screen 60. The time proposal function shown in FIG. 5 is a function that evaluates the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 and displays the results to suggest to the shipper which of the waiting time TM1, etc. should be shortened (improved). An example is shown in FIG. 6. In FIG. 6, a poor evaluation of the waiting time TM1 is displayed ("Bad"), suggesting that the waiting time TM1 should be shortened. The processing of the time proposal function will be described in detail below.
[0079] FIG. 7 shows the procedure for realizing the time proposal function, divided into input, processing, and output. In the time proposal function, a benchmark is input from the shipper to the proposal unit 41. The benchmark is a standard for evaluating the waiting time TM1, etc. In this embodiment, one of a standard value, past performance, best practice, and a target value is input to the proposal unit 41 as the benchmark.
[0080] The standard values are the standard values (times) for the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 for each shipper. The standard values are, for example, the average values of the detection results of the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 for a specific period on the time display unit 62 (the average values for one inbound / outbound shipment for all shippers). The past performance is the past waiting time TM1, etc. of one shipper among the shippers who uses the time proposal function (the shipper who receives a proposal on the proposal screen 60). More specifically, the past performance is the waiting time TM1, etc. of the shipper, including the period prior to the specific period. The best practice is the best value for the waiting time TM1, etc. The best practice is the smallest value among the average values of the waiting time TM1, etc. for the specific period calculated for each shipper. The target value is the target value for the waiting time TM1, etc. set by the shipper.
[0081] In this embodiment, benchmarks are managed in a benchmark table 71. The benchmark table 71 is a table that manages benchmarks for each shipper. In the benchmark table 71, actual values, standard values, best practices, and target values are stored in association with time items such as waiting time TM1. Note that actual values are "waiting time" and the like that are displayed in the time display section 62 (see Figure 6) of the proposal screen 60. Values in units of one hour are registered as actual values and the like in the benchmark table 71 of this embodiment.
[0082] The method for specifying the benchmark is not particularly limited. For example, the shipper may specify the benchmark by arbitrarily selecting a benchmark from a screen that allows the shipper to select a benchmark.
[0083] When a benchmark other than past performance is specified, the suggestion unit 41 compares the performance value managed in the benchmark table 71 with the specified benchmark, and evaluates the waiting time TM1, etc., according to the result. For example, when a target value is specified, the suggestion unit 41 evaluates the performance value as "Good" if it is smaller than the target value by a predetermined amount (shorter time). "Good" indicates that the performance value is better than the specified benchmark. The suggestion unit 41 evaluates the performance value as "Bad" if it is larger than the target value by a predetermined amount (longer time). "Bad" indicates that the performance value is inferior to the specified benchmark. The suggestion unit 41 evaluates the performance value as "Avg." in other cases. "Avg." indicates that the performance value and the specified benchmark are at the same level.
[0084] Furthermore, when past performance is specified as a benchmark, the proposal unit 41 calculates the past performance as appropriate. For example, the proposal unit 41 calculates the past performance by acquiring a history of detection results such as the shipper's waiting time TM1 from the visualization system 30. The proposal unit 41 then compares the calculation result with the performance value in the benchmark table 71 to evaluate the waiting time, etc.
[0085] As shown in Figures 6 and 7, the proposing unit 41 displays the evaluation results in the time display section 62 of the proposal screen 60. This allows the shipper to understand whether the waiting time TM1, etc. is good or bad compared to the benchmark, making it easier to determine the time that should be shortened. For example, the shipper can determine that a time that is inferior to the benchmark (evaluated as "Bad") should be shortened. This reduces the burden of the work of determining the time that should be shortened, and can promote the shortening of the stay time.
[0086] In addition, the time proposal function of this embodiment allows a benchmark to be selected, so the shipper can check the evaluation of the waiting time TM1 etc. against the benchmark selected arbitrarily. This improves convenience.
[0087] The method suggestion function shown in Figure 5 is a function that suggests to the shipper a method for shortening the stay time. In the method suggestion function, the shipper selects at least one time from waiting time TM1, cargo waiting time TM2, and loading / unloading time TM3, and a method for shortening that time is suggested to the shipper. An example is shown in Figure 8. In Figure 8, waiting time TM1 has been selected, so a method for shortening waiting time TM1 is displayed. The processing of the method suggestion function will be explained in detail below.
[0088] FIG. 9 shows the procedure for realizing the method suggestion function, divided into input, processing, and output. In the method suggestion function, the time (improvement target) selected by the shipper from among waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 is input to the suggestion unit 41. Note that the method for inputting the improvement target is not particularly limited. For example, the shipper may input the improvement target to the suggestion unit 41 by selecting one of "waiting time," "loading waiting time," and "loading handling time" in the time display unit 62 of the proposal screen 60.
[0089] When an improvement target is input, the suggestion unit 41 extracts a shortening method (a solution that leads to improvement) for the improvement target from the improvement solution table 72. The improvement solution table 72 is a table that manages shortening methods. FIG. 10 shows an example of the improvement solution table 72. In the improvement solution table 72, for each time item such as waiting time TM1, a "solution," "effective application case," and "ease of implementation" are stored in association with each other.
[0090] "Solution" refers to a method of reduction. Figure 10 shows "berth reservation" as an example of a method of reducing waiting time TM1. "Berth reservation" means introducing a berth reservation system R to reduce waiting time TM1. By introducing the berth reservation system R, it is possible to prevent trucks T from concentrating in specific time periods, alleviate congestion at berth B, and reduce waiting time TM1.
[0091] 10 also shows "load sorting linked with truck entry" as an example of a method for shortening the load waiting time TM2. Note that "load sorting linked with truck entry" is an operation method in which load sorting work is performed when truck T enters the warehouse. This operation method can prevent truck T from docking at berth B before load sorting work has started, thereby shortening the load waiting time TM2.
[0092] Furthermore, Figure 10 lists "utilizing a forklift" as an example of a method for shortening the cargo handling time TM3. "Utilizing a forklift" means adding a forklift K1. By "utilizing a forklift," cargo N can be loaded and unloaded efficiently, shortening the cargo handling time TM3.
[0093] "Effective application cases" indicate the characteristics (properties) of warehouses where applying a shortening method ("solution") is effective. More specifically, "effective application cases" indicate the characteristics of warehouses where time savings using a shortening method are likely to be achieved, and the characteristics of warehouses where the shortening method is cost-effective. Below, we will explain the "effective application cases" and the characteristics of warehouses.
[0094] Each shipper's warehouse has its own characteristics, such as operating hours. For example, large warehouses may operate 24 hours a day, with loading and unloading operations taking place all day long. Small warehouses may operate only during certain hours of the day, with loading and unloading operations taking place only during certain hours of the day.
[0095] The longer the operating hours of a warehouse (more specifically, the time periods during which loading and unloading operations are performed), the more opportunities there are for the forklift K1 to be utilized, making it more cost-effective. For this reason, the "utilization of forklifts" described above is considered to be effective in warehouses with long operating hours. Furthermore, the more the forklift K1 operates in a warehouse where the workload is leveled, for example by adjusting the amount of cargo N received and shipped per unit time, the more effectively it can be utilized (because the time periods during which it is not utilized are shorter), making it more cost-effective. For this reason, the "utilization of forklifts" is considered to be effective in warehouses where the workload is leveled. Therefore, the "utilization of forklifts" is considered to be particularly effective in warehouses where the workload is leveled 24 hours a day.
[0096] Furthermore, each shipper's warehouse has its own characteristics, such as the periodicity of shipments and receipts. For example, in a warehouse that handles products for a store (such as a supermarket) that opens in the morning and closes at night, package N may arrive at a fixed time each day (for example, before opening). Also, in a warehouse that handles products for an e-commerce site that accepts orders from customers 24 hours a day over the Internet, package N may arrive and ship at irregular intervals in response to customer orders.
[0097] In a warehouse where cargo N is shipped and received irregularly, berth B is likely to be congested more frequently (at certain times of the day) than in a warehouse where cargo N arrives at fixed times of the day. For this reason, the above-mentioned "berth reservation" is likely to alleviate congestion at berth B more effectively in warehouses where cargo N is shipped and received irregularly, and to have the effect of reducing travel time. In this way, "berth reservation" is likely to be effective in warehouses where cargo N is shipped and received irregularly.
[0098] In the support system 10 of this embodiment, for each of the shortening methods ("solutions") registered in the improved solution table 72, it is determined in advance what characteristics (operating hours, etc.) of warehouses it is effective for. The determination results are also registered in the "warehouse inbound / outbound cycle" of the "effective application case." For example, "irregular inbound / outbound shipments" of "berth reservation" indicates that this is effective for warehouses where cargo N is inbound and outbound at irregular intervals. Also, for example, "leveled inbound / outbound shipments" of "forklift utilization" indicates that this is effective for warehouses where the workload is leveled 24 hours a day.
[0099] Furthermore, each shipper's warehouse is characterized by, for example, its internal control system. More specifically, it is characterized by the system for controlling loading and unloading operations within the warehouse. For example, there are warehouses that determine whether to start loading and unloading operations on-site based on the movement status of truck T, and warehouses that perform loading and unloading operations according to a predetermined timetable. Among these, warehouses that perform loading and unloading operations according to a timetable make it easy to allocate forklifts K1 according to the timetable and operate the forklifts K1 efficiently. For this reason, the above-mentioned "utilization of forklifts" is considered to be effective in warehouses that perform loading and unloading operations according to the timetable.
[0100] In the support system 10 of this embodiment, for each of the shortening methods ("solutions") registered in the improved solution table 72, it is determined in advance what kind of control system of warehouses it is effective for. The determination results are also registered in the "warehouse control system" of the "effective application cases." For example, the "planned operation" of "forklift utilization" indicates that it is effective for warehouses where cargo handling work is performed according to the timetable. Furthermore, the "independent operation" of "truck entry linked cargo arrangement" indicates that it is effective for warehouses where cargo handling work is performed according to the movement status of truck T.
[0101] The above-mentioned "storage / delivery cycle" and "warehouse control method" are examples of warehouse characteristics, and other characteristics may be registered in the improved solution table 72.
[0102] "Ease of implementation" is an index showing whether or not a shortcut method ("solution") registered in the improved solution table 72 is easy to implement. For example, a shortcut method that does not require high costs before or during implementation is considered easier to implement than a shortcut method that requires high costs. In the support system 10 of this embodiment, the level of such implementation costs is evaluated in advance, and the result is registered in the "implementation cost" of "ease of implementation." Specifically, the evaluation is registered in three levels: "high," "medium," and "low."
[0103] Furthermore, for example, it may take a lot of effort to introduce a time-saving method. For example, when introducing a forklift K1, the worker who will be performing the loading and unloading work must obtain a license to operate the forklift K1. Furthermore, when the loading and unloading work is performed by a driver, approval must be obtained from the logistics company. In the support system 10 of this embodiment, the amount of effort required to introduce such a time-saving method is evaluated in advance, and the result is registered in the "hurdle" of "ease of introduction." Specifically, the evaluation is registered in three levels: "high," "medium," and "low."
[0104] Furthermore, there may be circumstances (restrictions) that make it impossible to introduce a shortcut method. For example, the introduction of a certain shortcut method may be prohibited by the shipper's rules. In the support system 10 of this embodiment, the likelihood of occurrence of circumstances that make it impossible to introduce such a shortcut method is evaluated in advance, and the result is registered in the "restrictions" of the "ease of introduction." Specifically, the evaluation is registered in three levels: "high," "medium," and "low."
[0105] 9, when an improvement target (for example, waiting time TM1) is selected, the proposing unit 41 extracts a shortening method for the improvement target from the above-mentioned improved solution table 72. Then, the proposing unit 41 narrows down the extracted shortening methods according to an "effective application case" (see FIG. 10).
[0106] For example, in this embodiment, the operating hours (characteristics) of the shipper's warehouse are managed appropriately. More specifically, the shipper's identification information, warehouse identification information, operating hours, etc. are stored in a storage device in association with each other. The proposing unit 41 then extracts, from the time-saving methods extracted from the improved solution table 72, those whose "effective application cases" match at least one characteristic of the shipper's warehouse. The proposing unit 41 then sorts and displays the thus narrowed-down time-saving methods in order of priority. The priority is an index that indicates the degree of priority for introducing the time-saving method. The priority is set according to the magnitude of the time-saving effect and whether or not the time-saving method can be easily introduced ("ease of introduction").
[0107] In this embodiment, the magnitude of the effect of time reduction is managed by the standard time table 73. An example of the standard time table 73 will be described below.
[0108] The standard time table 73a shown in Figure 11(a) is a table for managing the magnitude of the time reduction effect achieved by methods for reducing the waiting time TM1. The standard time table 73a includes "operation method" and "standard time." The "operation method" indicates the reduction method ("solution"). The "standard time" is the predicted value (magnitude of effect) of the waiting time TM1 when the reduction method is implemented. The "standard time" is set appropriately based on rules of thumb, etc. In this embodiment, a value in units of one hour is stored as the "standard time." Below, the rearrangement procedure will be explained using as an example a case where the reduction methods are narrowed down to "berth reservation" and "shipping / receiving time instruction" in accordance with the above-mentioned "effective application case" (see Figure 10).
[0109] The proposal unit 41 acquires the "standard times" for "berth reservation" and "shipping / receiving time instruction" from the standard time table 73a shown in FIG. 11(a). Then, the proposal unit 41 sorts the shortening methods in order of shortest "standard time" and displays them on the proposal screen 60. Specifically, the proposal unit 41 displays "berth reservation" and "shipping / receiving time instruction" in that order (see FIG. 8).
[0110] Furthermore, if there are multiple shortening methods with the same "standard time," the proposing unit 41 sorts and displays the multiple shortening methods in order of ease of implementation based on the "ease of implementation" in the improved solution table 72 shown in FIG. 10. For example, the proposing unit 41 displays the shortening methods in order of decreasing "constraints" in the improved solution table 72. Note that the method of sorting based on "ease of implementation" is not limited to this embodiment and can be changed as appropriate. For example, the proposing unit 41 may sort and display the shortening methods in order of decreasing "implementation cost."
[0111] The method suggestion function allows shippers to understand ways to shorten selected time items (waiting time TM1, etc.), thereby reducing the burden of considering ways to shorten them and promoting the shortening of stay times.
[0112] In this embodiment, instead of displaying all time-saving methods for the time item selected by the shipper, only the methods narrowed down according to the "effective application case" are displayed. This makes it possible to propose an appropriate time-saving method that matches the characteristics of the shipper's warehouse (operating hours, etc.). Furthermore, since the time-saving methods are displayed in order of priority, it is possible to preferentially propose to the shipper methods that are most effective in reducing time and that are easy to implement.
[0113] Here, for example, when proposing methods for shortening the waiting time TM1 to a shipper with a relatively short waiting time TM1, it is expected that some of the shortening methods will be ineffective. Therefore, the proposing unit 41 excludes such ineffective shortening methods and displays them on the proposal screen 60. Specifically, the proposing unit 41 excludes shortening methods whose "standard time" in the standard time table 73a is equal to or greater than the "actual value" in the benchmark table 71 and displays them on the proposal screen 60. This allows the proposing unit 41 to provide an appropriate shortening method in line with the shipper's current situation.
[0114] The proposal unit 41 rearranges and proposes methods for shortening the cargo waiting time TM2 and the cargo handling time TM3 in the same way as for the waiting time TM1. In this case, the proposal unit 41 obtains the "standard time" from the standard time table 73, which manages the magnitude of the time reduction effect of the methods for shortening the cargo waiting time TM2 and the cargo handling time TM3. The standard time table 73b shown in Figure 11(b) is an example of a table that manages the magnitude of the time reduction effect of the methods for shortening the cargo handling time TM3. The "standard time" for cargo handling work is likely to vary depending on the size of the truck T (amount of cargo N) and the location of the cargo compartment door. For this reason, the standard time table 73b manages the "standard time" for each size of the truck T and the location of the door. The standard time table 73, which manages the time reduction effect of the methods for shortening the cargo waiting time TM2, is omitted.
[0115] The prediction function shown in Figure 5 is a function that predicts (simulates) how much the cost can be reduced by a pre-selected shortening method. Figure 12 shows an example. In Figure 12, the shipper has selected a method to shorten the waiting time TM1 (for example, "berth reservation" in Figure 11), and the "waiting time fee" and "total cost for waiting, loading, etc." are predicted when that shortening method is implemented. The processing of the prediction function is explained in detail below.
[0116] FIG. 13 shows the procedure for realizing the prediction function, divided into input, processing, and output forms. In the prediction function, a shortcut method (improved solution) selected by the shipper is input to the prediction unit 42. Note that the procedure for inputting the shortcut method is not particularly limited. For example, the shipper may select a shortcut method displayed on the proposal screen 60 in the method proposal function (see FIG. 8), and the shortcut method may be input to the prediction unit 42. Also, for example, all shortcut methods registered in the improved solution table 72 may be displayed as appropriate, and the shortcut method selected by the shipper from among them may be input to the prediction unit 42.
[0117] When a shortening method is input, the prediction unit 42 extracts the "standard time" for that shortening method (the predicted value of the waiting time TM1, etc. when the shortening method is introduced) from the standard time table 73 (see FIG. 11).The prediction unit 42 then recalculates the price using the extracted "standard time."
[0118] For example, when a method for shortening waiting time TM1 is input, the prediction unit 42 recalculates the "waiting time fee" shown in FIG. 12 using the "standard time" of that shortening method and a preset unit price. The prediction unit 42 also recalculates the "total cost for waiting, handling, etc." by adding up the recalculation result and the "loading and unloading fees." When a method for shortening waiting time T2 is input, the prediction unit 42 calculates the fee in the same way as for waiting time TM1. When a method for shortening handling time TM3 is input, the prediction unit 42 recalculates the "total cost for waiting, handling, etc." by, for example, recalculating the "loading and unloading fees."
[0119] The prediction unit 42 displays the recalculated price in the price display unit 61 of the proposal screen 60. By visually checking the price display unit 61, the shipper can understand the amount of price reduction that will occur if the selected shortening method is implemented. This stimulates the shipper's motivation to shorten the stay time, and effectively promotes the shortening of the stay time.
[0120] The automatic selection function shown in Fig. 5 is a function in which the system selects the time to be reduced and the reduction method based on the target value of the compensation set by the shipper. Note that the target value in this embodiment is the target value of "Total compensation for waiting, handling, etc." on the proposal screen 60. For example, the target value is the total amount of waiting time charges, loading charges, and unloading charges incurred at the shipper's warehouse during a specific period.
[0121] An example of the automatic selection function is shown in Figure 14. The "target value" on the proposal screen 60 shown in Figure 14 displays the target value of the cost. The proposal screen 60 also displays that waiting time TM1 should be shortened by berth reservations. The "predicted value" on the proposal screen 60 also displays the predicted value of the cost when berth reservations are introduced. By checking the "target value" and "predicted value," the shipper can understand that the target value can be achieved by berth reservations. The processing of the automatic selection function is explained in detail below.
[0122] Fig. 15 shows the procedure for realizing the automatic selection function, divided into input, processing, and output. In the automatic selection function, a target value for the price set by the shipper is input to the proposal unit 41. Note that the method for inputting the target value is not particularly limited.
[0123] When a target value is input, the proposal unit 41 extracts time items that are factors in achieving the target value. Specifically, the proposal unit 41 extracts from the benchmark table 71 the times that should be shortened from among the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3. For example, the proposal unit 41 extracts time items such as the waiting time TM1 whose "actual value" is lower than the "standard value" in the benchmark table 71 shown in FIG. 7. Note that this is just one example, and the proposal unit 41 may extract time items using a benchmark other than the "standard value."
[0124] As shown in FIGS. 8 and 15, when the proposing unit 41 extracts the time item, it sorts the shortening methods in order of priority by the same process as the method proposing function.
[0125] Then, the proposing unit 41 predicts the cost when the shortening method with the highest priority is used, using the same process as the prediction function (see FIG. 12). If the predicted cost is equal to or less than the target value (if the target value is achievable), the proposing unit 41 displays the extracted time item, the shortening method with the highest priority, and the predicted cost on the proposal screen 60.
[0126] By visually checking the results displayed on the proposal screen 60, the shipper can understand the time that needs to be reduced and the method for reducing it in order to achieve the target value. This improves convenience. Furthermore, by setting the target value in terms of cost instead of time, it is possible to contribute to the shipper's profits.
[0127] If the predicted cost is greater than the target value (if the target value cannot be achieved), the proposal unit 41 recalculates the cost so that the predicted result is lower. For example, the proposal unit 41 extracts all methods for shortening the waiting time TM1, cargo waiting time TM2, and cargo handling time TM3 using processing similar to the method proposal function. The proposal unit 41 also recalculates the cost when all of the highest priority shortening methods for each time item, such as the waiting time TM1, are implemented using the prediction function. The proposal unit 41 then displays the recalculation results on the proposal screen 60. This makes it easier for the proposal unit 41 to propose to the shipper a shortening method that can achieve the target value.
[0128] As described above, the support system 10 according to this embodiment is a system that supports shortening the stay time of a truck T (vehicle) transporting cargo N at a warehouse (logistics base), and is equipped with an analysis unit 31 (detection unit) that detects, from the stay time, the time for loading and unloading work including loading and unloading of the cargo N (loading and unloading time TM3) and the pre-work time from when the truck T arrives at the warehouse until the loading and unloading work begins (waiting time TM1 and cargo waiting time TM2), and a suggestion unit 41 (provision unit) that provides advice on shortening the stay time based on the detection results of the analysis unit 31.
[0129] By configuring it in this way, it is possible to understand the breakdown of the stay time (time for loading and unloading work, time before work) and provide appropriate advice. For example, as with the time suggestion function (see Figure 6), it is possible to suggest that a portion of the stay time (waiting time TM1, etc.) should be shortened. This can encourage the shortening of stay time.
[0130] In addition, in detecting the pre-work time, the analysis unit 31 detects a first pre-work time (waiting time TM1) from when the truck T enters the warehouse until it arrives at berth B of the warehouse, and a second pre-work time (load waiting time TM2) from when the truck arrives at berth B until the loading and unloading work begins (see Figure 3).
[0131] By configuring in this way, it is possible to grasp the breakdown of the pre-work time.
[0132] In addition, the suggestion unit 41 compares the detection result of the analysis unit 31 with a preset benchmark (reference value) to identify at least one of the first pre-work time (waiting time TM1), the second pre-work time (loading waiting time TM2), or the loading and unloading work time (loading and unloading time TM3) that should be shortened, and provides the time as the advice (see Figure 6).
[0133] By configuring in this way, it is possible to grasp the time that needs to be reduced.
[0134] In addition, the suggestion unit 41 provides, as the advice, a method of shortening at least one of the pre-specified times among the first pre-work time (waiting time TM1), the second pre-work time (loading waiting time TM2), or the loading and unloading work time (loading and unloading time TM3) to a value less than the detection result of the at least one time by the analysis unit 31 (see Figure 8).
[0135] By configuring in this way, it is possible to grasp the shortening method.
[0136] In addition, when providing the shortening method, the suggestion unit 41 provides at least one shortening method narrowed down from the multiple shortening methods according to the characteristics of the warehouse (see Figures 8 and 10).
[0137] By configuring in this way, it is possible to provide an appropriate shortening method according to the characteristics of the warehouse.
[0138] The characteristics of the warehouse include at least one of the regularity of the receipt and shipment of the cargo N, the operating hours of the warehouse, and the control method within the warehouse.
[0139] By configuring in this way, it is possible to provide an appropriate shortening method depending on the regularity of incoming and outgoing shipments, etc.
[0140] Furthermore, when providing the shortening methods, the proposing unit 41 ranks the plurality of shortening methods in order of ease of introduction into the warehouse and provides them (see FIG. 8).
[0141] By configuring in this way, it is possible to grasp a shortening method that is easy to implement, thereby improving convenience.
[0142] The apparatus further comprises a prediction unit 42 for predicting the magnitude of the effect when the shortening method is used. In this embodiment, as an example, the price when the shortening method is used is predicted (see FIG. 12).
[0143] By configuring in this way, it is possible to grasp the magnitude of the effect when using the shortening method, thereby improving convenience.
[0144] Furthermore, the suggestion unit 41 can provide the shortening method that achieves a preset target value of the staying time (see FIG. 14). The target value of the stay time may be any target value related to the stay time. The target value may not only be the target value of the stay time itself, but also a target value that increases or decreases depending on the stay time. In this embodiment, the target value of the compensation (see FIG. 14) is described as an example of the target value.
[0145] By configuring in this way, it is possible to obtain a shortening method that can achieve the target value, thereby improving convenience.
[0146] In addition, the support system 10 further includes a camera 20 (photographing unit) that photographs the inside of the warehouse, and the analysis unit 31 further detects at least one of the packaging style when transporting the cargo N on the truck T or the cargo handling equipment K used in the cargo handling work, and detects at least one of the packaging style or the cargo handling equipment K, the pre-work time (waiting time TM1 and cargo waiting time TM2), and the time of the cargo handling work (loading time TM3) based on the photographing results of the camera 20 (see Figure 3).
[0147] By configuring it in this way, it becomes easier to change the packaging style, etc., and it is possible to promote the shortening of the staying time.
[0148] As described above, the support system 10 according to this embodiment is a system for acquiring information to assist in reducing the residence time of a truck T (vehicle) transporting cargo N at a warehouse (logistics base), and is equipped with a camera 20 (photographing unit) that photographs the interior of the warehouse, and an analysis unit 31 (detection unit) that detects the information based on the photographing results of the camera 20. The information includes, within the residence time, the time for loading and unloading work including loading and unloading of the cargo N (loading and unloading time TM3), within the residence time, the pre-work time from the arrival of the truck T at the warehouse until the loading and unloading work begins (waiting time TM1 and cargo waiting time TM2), and at least one of the packaging style when transporting the cargo N by the truck T or the loading and unloading equipment K used in the loading and unloading work.
[0149] By configuring it in this way, the burden of understanding information such as packaging style can be reduced, and the waiting time can be shortened.
[0150] The truck T according to this embodiment is one embodiment of a vehicle according to the present invention. The analysis unit 31 according to this embodiment is an embodiment of the detection unit according to the present invention. The camera 20 according to this embodiment is one embodiment of the photographing unit according to the present invention.
[0151] Although the embodiment of the present invention has been described above, the present invention is not limited to the above configuration, and various modifications are possible within the scope of the invention described in the claims.
[0152] For example, the analysis unit 31 detects the stay time by dividing it into waiting time TM1, cargo waiting time TM2, and cargo handling time TM3, but this is just an example, and it is also possible to detect the stay time by dividing it into categories different from those in this embodiment. For example, the analysis unit 31 may detect the wait time TM1 and cargo waiting time TM2 together, rather than detecting them separately. The analysis unit 31 may also detect the driver's rest time in the warehouse.
[0153] Furthermore, although the analysis unit 31 is configured to detect the waiting time TM1 etc. using the detection results of the camera 20, it is also possible to detect the waiting time TM1 etc. using other information. For example, the waiting time TM1 from when truck T enters the warehouse until it docks at berth B can be calculated from the position information of truck T. Therefore, the analysis unit 31 can also detect the waiting time TM1 based on the position information of truck T obtained by GPS (Global Positioning System).
[0154] Furthermore, the analysis unit 31 does not necessarily have to detect both the cargo handling equipment K and the packaging style. For example, the analysis unit 31 may detect only either the cargo handling equipment K or the packaging style. Furthermore, for example, the analysis unit 31 does not have to detect both the cargo handling equipment K and the packaging style. By narrowing down the detection targets in the analysis unit 31 as appropriate in this way, the processing load for analyzing the camera 20 can be reduced.
[0155] In the present embodiment, the target value of the compensation is set in the prediction function (see FIG. 14), but this is just an example, and an item other than the compensation may be set as the target value. For example, a target value of the duration of stay may be set. [Explanation of symbols]
[0156] 10 Support System 31 Analysis Department 41 Proposal Department N Luggage T-track T1 Waiting Time T2 cargo waiting time T3 Loading time
Claims
1. A system that supports shortening the stay time of vehicles transporting luggage at logistics centers, a detection unit that detects, within the stay time, a time for cargo handling operations including loading and unloading of the luggage, and a pre-operation time from when the vehicle arrives at the logistics base until when the cargo handling operation starts; a providing unit that provides advice on shortening the staying time based on the detection result of the detecting unit; Equipped with system.
2. The detection unit In detecting the pre-operation time, a first pre-operation time from when the vehicle enters the logistics base until when the vehicle comes into contact with a berth at the logistics base, and a second pre-operation time from when the vehicle comes into contact with the berth until when the loading and unloading operation is started are detected. The system of claim 1 .
3. The providing unit By comparing the detection result of the detection unit with a preset reference value, at least one of the first pre-work time, the second pre-work time, and the loading and unloading work time is identified as a time to be shortened, and the identified time is provided as the advice. The system of claim 2 .
4. The providing unit providing, as the advice, a shortening method for shortening at least one of the first pre-work time, the second pre-work time, and the loading and unloading work time, which is designated in advance, to a value less than the detection result of the at least one time by the detection unit; 4. The system according to claim 2 or claim 3.
5. The providing unit In providing the shortening method, at least one of the shortening methods is provided, which is narrowed down depending on the characteristics of the logistics base. The system of claim 4.
6. The characteristics of the logistics base include: At least one of the following is included: the regularity of the shipment and receipt of the goods; the operating hours of the logistics center; and the control method within the logistics center. The system of claim 5.
7. The providing unit In providing the shortening methods, the plurality of shortening methods are provided in order of ease of introduction to the logistics base. The system of claim 4.
8. Further comprising a prediction unit that predicts the magnitude of the effect when the shortening method is used. The system of claim 4.
9. The providing unit In providing the shortening method, it is possible to provide the shortening method so as to achieve a predetermined target value of the staying time. The system of claim 4.
10. Further, a photographing unit is provided for photographing the inside of the logistics base, The detection unit and further detecting at least one of a packaging style when the luggage is transported by the vehicle and a cargo handling device used in the cargo handling operation, At least one of the packaging style or the cargo handling equipment, the pre-work time, and the cargo handling work time are detected based on the photographing results of the photographing unit.
3. The system according to claim 1 or claim 2.
11. A system for acquiring information to support reducing the stay time of vehicles transporting cargo at logistics centers, an imaging unit that images the inside of the logistics base; a detection unit that detects the information based on the image capture result of the image capture unit; Equipped with The information includes: The time spent on cargo handling, including loading and unloading of the luggage, during the stay time; The sojourn time includes a pre-operation time from when the vehicle arrives at the logistics base until when the loading and unloading operation starts; At least one of the manner in which the luggage is packed when transported by the vehicle or the cargo handling equipment used in the cargo handling operation; Contains, system.
Citation Information
Patent Citations
Logistics system and method
JP7092201B2