Methods and appartus for providing logistics management services using mes

Abstract

A method for providing a logistics management service performed by a computing device comprising at least one processor according to some embodiments of the present disclosure, comprising: receiving an order; registering a logistics production plan for the order; directing a production process of the logistics for the logistics production plan; and requesting the shipment of the logistics, wherein the step of requesting the shipment of the logistics may be characterized by requesting the shipment based on at least one of the number of racks in which the logistics are stored, the location in which the racks are placed, the shipment date of the logistics, the item name, the item code, the specifications, and the quantity.

Description

Technology Field

[0001] The present disclosure relates to a method and apparatus for providing logistics management services using a Manufacturing Execution System (MES), and specifically, to a method and apparatus for managing the order, production planning, production process, and shipment stages of logistics including double-glazed glass in an integrated manner through a single system. Background Technology

[0002] The Manufacturing Execution System (MES) is a system for managing the process progress status, manufacturing performance, and quality of products manufactured within a manufacturing company. It is a field system focused on real-time monitoring and control of the shop floor environment, tracking of logistics and work history, status identification, and defect management.

[0003] Looking at the functions of the MES system, it can be said that it integrates and manages all information that may occur in the production site, including process progress monitoring and control, equipment control and monitoring, quality information tracking and control, performance data aggregation, warehouse operation management, work-in-process management, material input management, personnel management, and general affairs management.

[0004] Generally, companies within a supply chain cluster frequently engage in a series of orders or shipment requests with other firms to produce and deliver the logistics they require. Therefore, a close collaborative system must be established between the final ordering company and the various intermediary firms to ensure the smooth supply of logistics.

[0005] In this process, for efficient and rapid operation to be achieved, information regarding production plans, inbound / outbound shipments, distribution, and warehouse inventory must be seamlessly shared among the participating companies. However, managing logistics that are customized across various specifications, items, and quantities requires accurate and rapid information exchange among consumers, producers, and distributors. The problem to be solved

[0006] The present disclosure is conceived in response to the aforementioned background technology and aims to provide a method for providing a logistics management service using an MES that can efficiently manage production, shipment, and distribution for each of the various forms of logistics.

[0007] The technical problems of the present disclosure are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0008] According to one embodiment of the present disclosure for solving the problem described above, a method for providing a logistics management service performed by a computing device comprising at least one processor comprises: receiving an order; managing a production plan for the order; managing a production process for the logistics; and managing the shipment of the logistics for the logistics production plan; wherein the step of managing the shipment of the logistics may be characterized by requesting a shipment based on at least one of the number of racks in which the logistics are stored, the location where the racks are placed, the shipment date of the logistics, the item name, the item code, the specifications, and the quantity.

[0009] The step of managing the above production process further includes: a step of registering an instruction requesting the production of the above logistics; a step of querying information regarding the above order; and a step of registering orders corresponding to each production process of the above logistics as actual orders; and the step of registering as actual orders may be characterized in that when the above logistics is registered for shipment, it is automatically registered from an order in progress to a completed order.

[0010] The step of managing the above production process may further include the step of registering information including at least one of a defect code, worker, barcode information, item name, and item code for a defective logistics among the logistics being produced.

[0011] The technical solutions obtainable in this disclosure are not limited to the solutions mentioned above, and other solutions not mentioned will be clearly understood by those skilled in the art to which this disclosure belongs from the description below. Effects of the invention

[0012] According to some embodiments of the present disclosure, the present invention aims to provide a method and apparatus for providing a logistics management service using an MES that enables consumers, producers, and distributors to efficiently and systematically manage the production, shipment, and distribution processes of logistics.

[0013] The effects obtainable from the present disclosure are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art to which the present disclosure belongs from the description below. Brief explanation of the drawing

[0014] Various aspects are now described with reference to the drawings, wherein similar reference numbers are used to collectively refer to similar components. In the following embodiments, for illustrative purposes, a number of specific details are presented to provide a comprehensive understanding of one or more aspects. However, it will be apparent that such aspect(s) may be practiced without these specific details. In other examples, known structures and devices are illustrated in block diagram form to facilitate the description of one or more aspects. FIG. 1 is a drawing for exemplarily illustrating a method of providing a logistics management service according to an embodiment of the present invention. FIG. 2 is a configuration diagram illustrating an exemplary logistics management system according to one embodiment of the present invention. FIG. 3 is a flowchart illustrating, in an exemplary manner, a method for providing a logistics management service according to one embodiment of the present invention. FIG. 4 is a drawing for exemplarily explaining a standard information management unit according to one embodiment of the present invention. FIGS. 5a to 5c are drawings for exemplarily illustrating an order management unit according to an embodiment of the present invention. FIGS. 6a to 6c are drawings for exemplarily illustrating a production planning management unit according to one embodiment of the present invention. FIGS. 7a to 7e are drawings illustrating exemplary instruction management of a production process management unit according to one embodiment of the present invention. FIGS. 8a to 8c are drawings for exemplarily illustrating the performance management of a production process management unit according to one embodiment of the present invention. FIGS. 9a to 9d are drawings for illustratively explaining a method for managing defects according to an embodiment of the present invention. FIGS. 10a to 10c are drawings for exemplarily illustrating a shipment management unit according to one embodiment of the present invention. FIGS. 11a to 11c are drawings for exemplarily illustrating a monitoring unit according to an embodiment of the present invention. Specific details for implementing the invention

[0015] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0016] Terms such as first, second, A, B, etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0017] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0018] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0019] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0020] FIG. 1 is a drawing for exemplarily illustrating a logistics management system utilizing MES according to an embodiment of the present invention.

[0021] Referring to FIG. 1, the logistics management system (100) may be a computing device that communicates with a server (300), a producer terminal (400), or a business partner terminal (500) through a network (200) and provides services through a series of operations to manage tasks related to logistics ordering, production, shipment, and monitoring.

[0022] A logistics management system (100) according to one embodiment may include a control unit (110), a storage unit (120), and a communication unit (130). However, the above-described components are not essential for implementing the logistics management system (100), so the logistics management system (100) may have more or fewer components than the components listed above.

[0023] The logistics management system (100) may be a series of computing devices and may include any type of computer system or computer device, such as, for example, a microprocessor, a mainframe computer, a digital processor, a portable device or a device controller.

[0024] A logistics management system (100) may achieve desired system performance by using a combination of typical computer hardware (e.g., a device that may include components of a computer processor, memory, storage, input device and output device, and other conventional computing devices; electronic communication devices such as routers and switches; electronic information storage systems such as network-attached storage (NAS) and storage area network (SAN)) and computer software (i.e., instructions that cause computing devices to function in a specific way).

[0025] The control unit (110) can typically handle the overall operation of the logistics management system (100). The control unit (110) can provide or process appropriate information or functions to the user by processing signals, data, information, etc. that are input or output through the components of the logistics management system (100) or by running an application program stored in the storage unit (120).

[0026] The control unit (110) may be composed of one or more cores and may include a processor for data analysis such as a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU).

[0027] The control unit (110) can convert the quantity included in the shipment information into the number of racks where the logistics are stored, if the quantity is the number of logistics. Through this, the produced logistics are classified and stored in racks according to various types and forms such as item, specifications, thickness, and color, and the producer can quickly and accurately ship the logistics from multiple racks in a large warehouse for which a shipment order has been received.

[0028] Additionally, the control unit (110) can provide a function to automatically generate and print or download work orders or shipment records, or can quantify and generate graphs of order, shipment, performance, order details, and defect information on a monthly, daily, and yearly basis.

[0029] The storage unit (120) may include memory and / or a permanent storage medium. The memory may include at least one type of storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), RAM (Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk, and optical disk. The storage unit (120) may store a plurality of order records related to the history of a product.

[0030] The communication unit (130) may include one or more modules that enable communication between the logistics management system (100) and the communication system, between the computing device (100) and the producer terminal (400), the business partner terminal (500), or between the computing device (100) and the network (140).

[0031] Below, a specific example of how a logistics management system (100) provides logistics management services is described.

[0032] A logistics management system (100) receives and stores orders from a demander terminal for ordering logistics, and a producer terminal (400) registers information regarding production plans or production process management for logistics production based on the stored order information in the logistics management system, and after registering shipments for logistics completed from a trading partner terminal (500) or a manager terminal, can provide information for distributing logistics to a distributor terminal. The logistics management system (100) can perform the ordering, production, shipment, and distribution processes quickly by classifying and viewing accurate order information in detail among demanders, traders, producers, and distributors, and can prevent errors or problems such as incorrect orders or incorrect shipments that may occur during future logistics production or shipment processes. Here, the consumer terminal, producer terminal, trading partner terminal and distributor terminal are terminals of users who use the logistics management service provided by the server (300), and can be implemented as any user terminal such as a laptop computer, mobile phone, smartphone, tablet PC, mobile internet device (MID), PDA (personal digital assistant), EDA (enterprise digital assistant), or smart device. The smart device can be implemented as a smart watch, smart band, or smart ring.

[0033] FIG. 2 is a configuration diagram illustrating an exemplary logistics management system according to one embodiment of the present invention.

[0034] Referring to FIG. 2, the logistics management system (100) may be composed of a master data management unit (1100), an order management unit (1200), a production planning management unit (1300), a production process management unit (1400), a shipment management unit (1500), a monitoring unit (1600), and a system management unit (1700). However, the components described above are not essential for implementing the logistics management system (100), so the logistics management system (100) may have more or fewer components than those listed above. Each component constituting the logistics management system (100) will be described in detail below.

[0035] FIG. 3 is a flowchart illustrating, in an exemplary manner, a method for a logistics management system according to an embodiment of the present invention to provide a logistics management service.

[0036] Referring to FIG. 3, the logistics management system can receive orders related to the production and shipment of logistics from an external terminal (S310). When receiving an order, the order can be registered by receiving information about the order directly from the external terminal or by uploading an Excel file containing essential information.

[0037] The logistics management system can register a logistics production plan for an order (S320). According to one embodiment, the system can receive and register a production plan for logistics from a producer terminal based on the order number received through step S310.

[0038] The logistics management system can direct the production process of logistics for the logistics production plan (S330). The logistics management system according to one embodiment can view received orders based on the order number, receipt date, shipment date, and delivery date. The received orders are initially displayed as 'uninstructed orders,' and when the manager instructs the producer on logistics production, the orders are displayed as 'instructed orders,' thereby confirming the production instruction. The logistics management system may further provide a function to print work orders.

[0039] The logistics management system can request shipment for logistics that has been produced (S340). Information on the shipment of logistics for one embodiment can be used to instruct or determine shipment based on at least one of the following: a unit (number) of racks in which glass is stored that has been produced in advance and stored in a warehouse, a location where the racks are arranged, a shipment date of the logistics, an item name, an item code, specifications, and a quantity. This allows for shipment by counting the glass sheets individually, or by requesting shipment by unit and location of racks classified and stored according to the specifications, thickness, color, etc. of various glass, thereby enabling accurate shipment operations.

[0040] FIG. 4 is a drawing for exemplarily explaining a standard information management unit according to one embodiment of the present invention.

[0041] Referring to FIG. 4, the master data management unit (4100) may further include customer management, finished product management, semi-finished product management, line management, process sequence management, equipment management, defect code management, common code management, and logo management functions.

[0042] FIGS. 5a to 5c are drawings for exemplarily illustrating an order management unit according to an embodiment of the present invention.

[0043] Referring to FIGS. 5a to 5c, when the order management unit (510) receives order information from a consumer who wishes to purchase logistics, it can automatically register the order or the user or the consumer can register the order.

[0044] According to one embodiment, the order information may be information regarding at least one of the following: finished product name, item number, multilayer type, specifications (width, height), thickness, quantity, order number, purchase order number, process sequence, shipment date, delivery date, receipt date, place of shipment, customer, and producer. According to one embodiment, the order number may be configured so that duplicate registration is impossible. By preventing duplicate registration of orders due to errors by the person registering the order or the system, the waste of the producer's labor and resources can be prevented in advance.

[0045] According to one embodiment, order information can be uploaded in the format of an Excel file to output only the corresponding data on the site, and the order information can be uploaded in various document formats such as Word, Hangul (hwp), and PowerPoint (ppt) in addition to Excel. According to one embodiment, the order information may include order number, order date, product name, product number, specifications, thickness, quantity, customer name, and delivery date as essential information.

[0046] The order management unit (510) may further include a function to look up registered orders.

[0047] FIGS. 6a to 6c are drawings for exemplarily illustrating a production planning management unit according to one embodiment of the present invention.

[0048] Referring to FIGS. 6a to 6c, the production planning management department (610) can register a production plan for logistics based on registered order information and view the registered production plan.

[0049] The production plan management unit (610) can register a final production plan by designating the final production plan date and confirming unplanned orders as planned orders. According to one embodiment, the production plan management unit (610) may further provide a function to look up detailed order information corresponding to an order number. According to another embodiment, the production plan management unit (610) may further provide a function to look up confirmed production plans on a monthly basis.

[0050] FIGS. 7a to 7e are drawings illustrating exemplary instruction management of a production process management unit according to one embodiment of the present invention.

[0051] Referring to FIGS. 7a through 7e, the production process management unit (700) may provide a function to register instructions for work related to logistics production or shipment and to view the registered instructions. The production process management unit (700) may finalize or suspend the registered instructions as 'uninstructed orders' and 'instructed orders'. According to one embodiment, the production process management unit (700) may further include a function to output or download an automatically generated work instruction sheet based on the registered instructions.

[0052] The production process management department (700) may further provide a function to look up information regarding instructions, and the information regarding instructions may include at least one of an instruction number, instruction date, order number, order number, customer, shipping location, shipping date, workpiece, and work status. The above-mentioned workpiece may be classified according to the type, form, and application of the window, such as glass for double-glazed windows or prefabricated windows.

[0053] According to one embodiment, the production process management unit (700) may additionally provide a function to output a barcode or label corresponding to instruction information or order information through an order inquiry function. According to another embodiment, the production process management unit (700) may output a label corresponding to each of two or more different order numbers included in a single instruction number, or output a label corresponding to a single instruction number.

[0054] FIGS. 8a to 8c are drawings for exemplarily illustrating the performance management of a production process management unit according to one embodiment of the present invention.

[0055] Referring to FIGS. 8a through 8c, the production process management unit (800) may further provide a function for registering and viewing performance results. According to one embodiment, the production process management unit (800) may register performance results through the stages of pending orders, orders in progress, and completed orders for logistics for prefabricated windows. According to another embodiment, performance results may be automatically registered when shipment is registered.

[0056] FIGS. 9a to 9d are drawings for illustratively explaining a method for managing defects according to an embodiment of the present invention.

[0057] Referring to FIGS. 9a to 9d, defects can be registered in the production process management unit (800), and the information required for defect registration may include the item name, item code, barcode, defect code which is a code for contamination, non-specification, breakage, or damage, the process line where the glass was processed, and information about the worker. When the produced glass is registered as defective, information related to the glass registered as defective can be automatically retrieved.

[0058] When checking for defective registrations, at least one piece of information regarding the glass registered as defective may be included, such as performance number, performance date, process line, worker, barcode, item code, item name, classification (distinction between finished product and semi-finished product), glass classification (distinction between double-glazed, assembled, etc.), specifications, date of defect occurrence, defect code, and quantity of defects.

[0059] FIGS. 10a to 10c are drawings for exemplarily illustrating a shipment management unit according to one embodiment of the present invention.

[0060] Referring to FIGS. 10a to 10c, the shipment management unit (1010) can register or look up selected orders for shipment. According to one embodiment, the shipment management unit (1010) can instruct or decide on shipment based on at least one of the following: a unit (number) of racks in which glass that has been produced in advance and stored in a warehouse is stored, a location where the racks are arranged, a shipment date of logistics, an item name, an item code, specifications, and a quantity. This allows for shipment by counting individual sheets of glass, or shipment by unit and location of racks classified and stored according to the specifications, thickness, color, etc. of various types of glass, thereby enabling accurate shipment operations.

[0061] According to one embodiment, the shipment management unit (1010) may provide a function to print or download a shipment details statement for a shipment corresponding to each shipment number or order number through a shipment inquiry function.

[0062] FIGS. 11a to 11c are drawings for exemplarily illustrating a monitoring unit according to an embodiment of the present invention.

[0063] Referring to FIGS. 11a to 11c, the monitoring unit (1110) may include production status, an integrated dashboard, and equipment monitoring functions. The production status monitoring function can view production or performance status on a daily basis.

[0064] The integrated dashboard can quantify order, shipment, performance, order details, and defect information by month, day, and year and provide it in the form of graphs.

[0065] According to an additional embodiment, the logistics management system (100) may acquire an image of an item through a camera provided within the logistics system. According to one embodiment, the logistics management system (100) may input the acquired image into a first artificial neural network to perform a review of whether it is defective. If the logistics management system (100) determines that the acquired image is defective, it may database information about the defective item based on identification information regarding the item.

[0066] A logistics management system (100) can determine the post-processing direction for a product determined to be defective by inputting it into a second artificial neural network that has been pre-trained to determine the post-processing direction based on an image of the product determined to be defective. The second artificial neural network can be pre-trained to determine the post-processing direction of a product determined to be defective (e.g., at least one of the first state, the second state, and the third state) by using as training data a product image labeled as at least one of a first state corresponding to disposal, a second state corresponding to a general defect state where additional distribution is possible such as discounted sales or sales after repair, and a third state corresponding to a state where distribution as a good product is possible immediately, and a reference image corresponding to the aforementioned first to third states, and to determine the post-processing direction of the product determined to be defective (e.g., at least one of the first state, the second state, and the third state), and to minimize the loss function calculated based on the determined post-processing direction and labeling. The logistics management system (100) can process the product determined to be defective based on the result calculated by the second artificial neural network.

[0067] According to one embodiment, the logistics management system (100) may additionally provide recommendation information regarding the processing direction for a second product determined to be in a second state in the preceding operation. For example, the logistics management system (100) may provide recommendation information regarding the processing direction for a product determined to be defective based on the output of a third artificial neural network that has been pre-trained to predict product state information and a discount rate using an image of a product determined to be defective as input. For example, the third artificial neural network may be pre-trained to output the state information and discount rate of a product determined to be defective based on training data in which the product image determined to be defective is labeled with product state information (e.g., information about the defective part, information about the degree of defect) and a discount rate predetermined in accordance with each state information (e.g., the sum of the discount rates predetermined according to the defective part and the degree of defect corresponding to the defective part).

[0068] According to one embodiment, the logistics management system (100) can periodically search for the lowest price information for consumables or materials for product production and transmit it to the user's terminal. For example, the logistics management system (100) can search for the lowest price information for target materials / consumables in domestic and international online markets at a preset interval and transmit it to the user's terminal, and the user can use this information to consider changing the supplier for inventory orders.

[0069] Additionally, the logistics management system (100) may periodically request quotes from vendors selling materials / consumables and transmit them to the user terminal. For example, the logistics management system (100) may inquire about target material / consumable vendors using a pre-trained generative artificial intelligence model (e.g., CHAT GPT) to obtain a list of vendors, crawl the email addresses of vendors included in the list, and send emails requesting quotes and product delivery deadlines for the target materials / consumables through the crawled emails. The logistics management system (100) may periodically provide the user with a list of vendors that offer quotes lower than the price the user is currently trading at, among the emails replied to during a predetermined period. In this process, the logistics management system (100) may also periodically provide the user with additional information regarding logistics costs and time required based on distance.

[0070] In the process of verifying the previous estimate, the logistics management system (100) may utilize APIs of multiple map services to additionally provide prior verification of the reliability of the company subject to the estimate and additionally provide the verification results to the user. For example, for each company included in the company list obtained from a generative artificial intelligence model, the logistics management system (100) may use the API (Application Programming Interface) of the first map service to search for the company name and search for the first address of the company, use the API of the second map service to search for the company name and search for the second address, use the API of the third map service to search for the company name and search for the third address, and check whether the searched address matches or is not found, and additionally provide the verified information to the user. A person skilled in the art will understand that the number of map services used is not limited to the example presented, and that more address search services may be utilized.

[0071] According to another embodiment, the logistics management system (100) can perform a demand forecast for a product and provide the demand forecast result to a user to provide auxiliary information for inventory management. More specifically, the logistics management system (100) can forecast the demand for a product through Equation 1 and Equation 2.

[0072] [Mathematical Formula 1]

[0073]

[0074] [Mathematical Formula 2]

[0075]

[0076] Here, k represents the customer, and DFS represents the Demand Forecast by Store Function.

[0077] c represents a customer, and PPC is the Purchase Prediction by Customer Function, which may be the output of an artificial neural network pre-trained to predict the purchase volume by customer at a specific point in time, using the daily purchase volume of a product by customer as input. NPC is the New Purchase Constant, which may be the output of an artificial neural network pre-trained to predict the purchase of a specific product on a specific date based on information regarding product purchases made through new vendors by day and product. SQ may represent the predicted inventory quantity of product (A) on a specific date (D), which may be the output of an artificial neural network trained using the inventory quantity by product for the previous day as input. PPC may be a value that predicts and determines whether customer C will purchase product A on a specific day D.

[0078] In another example, the logistics management system (100) may generate and provide a product shipment warning that can be effectively loaded onto a cargo truck during the process of shipping products. More specifically, the logistics management system (100) may generate an optimal product shipment by considering the order in which multiple products are delivered to a delivery destination (ordering company), so that when multiple different products are delivered to separate delivery destinations, the products loaded first onto the delivery vehicle in accordance with the delivery order of each product are shipped first and stacked on a pallet later, and may generate a shipment path so that each product is loaded onto a pallet in accordance with the order corresponding to the generated optimal path. Additionally, during the process of shipping multiple products and loading them onto a pallet in sequence, if a product with a weight greater than a certain amount is loaded on top of a product that is light or has a structure with a high risk of damage, there is a risk of damage to the product. In consideration of this, the logistics management system (100) may set a shipping route (shipping order) so that items weighing more than a certain amount are prioritized for shipping and stacking on pallets during the process of stacking products that are shipped sequentially according to a set route, and may provide shipping information to the user. Additionally, the logistics management system (100) may set a route considering products that would have a negative impact if placed adjacent to each other. For example, the logistics management system (100) may determine a shipping order so that glass products that must be maintained at a relatively cold temperature and glass products that must be maintained at a temperature above room temperature are not placed in adjacent positions on the pallets during the shipping process, and may provide this information to the user. Furthermore, the logistics management system (100) may set a shipping order so that products that may malfunction if a magnetic material is within a certain distance and products with magnetic properties are placed on the pallets at a distance greater than a certain distance, and may provide this information to the user.

[0079] Additionally, the logistics management system (100) may determine the optimal shipping order based on structural information of the cargo area of ​​the vehicle on which the shipped goods are loaded, structural information of each of the shipped products, and delivery destination information of the products, and provide this information to the user. For example, based on the fact that the structure of the cargo area may differ depending on the vehicle and the structural information of each of the products may also differ, the logistics management system (100) may set a route to prioritize the shipment of goods loaded first onto the vehicle, and determine the shipping order of the goods so that the goods can be loaded most efficiently (so that the most goods can be loaded stably) based on the structure of the cargo area of ​​the vehicle and the structure of the goods when the shipped goods are loaded onto the vehicle, and provide the determined information to the user.

[0080] In the process of setting the shipping order, if the intended purpose cannot be achieved when products are stacked sequentially on a pallet, the logistics management system (100) may pre-set a specific area of ​​the pallet and provide notification information to place specific products separately in the specified area when products are shipped along the set path, thereby enabling the logistics management system (100) to support product placement that can achieve the previously described purposes.

[0081] The device described above may be implemented as a hardware component, a software component, and / or a combination of a hardware component and a software component. For example, the device and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include a plurality of processing elements and / or a plurality of types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0082] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0083] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0084] Although the embodiments have been described above with reference to limited examples and drawings, those skilled in the art can make various modifications and variations from the description above. For example, suitable results can be achieved even if the described techniques are performed in a different order than described, and / or the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0085] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims set forth below.

Claims

Claim 1 A method for providing a logistics management service performed by a computing device comprising at least one processor, comprising: receiving an order; registering a logistics production plan for the order; directing a production process of the logistics for the logistics production plan; and requesting the shipment of the logistics. The step of requesting the shipment of the logistics is characterized by requesting the shipment based on at least one of the number of racks in which the logistics are stored, the location where the racks are placed, the shipment date of the logistics, the item name, the item code, the specifications, and the quantity. Claim 2 The method according to claim 1, wherein the step of managing the production process further comprises: a step of registering an instruction requesting the production of the logistics; a step of querying information regarding the order; and a step of registering orders corresponding to each production process of the logistics as actual orders, wherein the step of registering as actual orders is characterized in that when the logistics is registered for shipment, it is automatically registered from an order in progress to a completed order. Claim 3 The method according to claim 1, wherein the step of managing the production process further comprises the step of registering information including at least one of a defect code, worker, barcode information, item name, and item code for a defective logistics among the logistics being produced.

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