153 results about "Lead time" patented technology

A Virtual Design Module (VDM) used in a networked design environment generates manufactured product designs that are near optimal in terms of cost and production cycle time by using design data files containing alternative parts and manufacturers information. Numerous product design alternatives are considered and evaluated in terms of design-manufacturing-parts-supplier feasibility and real-time information on cost and production cycle time for realization. The VDM generates a population of new designs with appropriate board design information to allow for design-manufacturer-supplier decision making and determines the feasibility of each member of the current generation of designs and rejects designs that are not feasible. The VDM triggers Mobile Software Agents (MSA) that obtain data for parts availability, cost, lead time and manufacturer data for manufacturing availability, cost and lead time for each feasible member of the current generation of designs and return the data. In one application for printed circuit board design, the VDM evaluates each member of the current generation of designs by calculating cost, lead-time and value using a J function. The VDM then improves board designs through selection and use of board design modifiers. The process continues until optimized designs are obtained. Optimized board designs are output as results to an operator.

The invention discloses a sales forecast and replenishment method, comprising: a sales forecast method and a replenishment method. The sales forecasting method includes: obtaining historical sales data of the commodity to be forecasted, retrieving a sales forecast model based on historical sales data training and outputting forecast sales data, the sales forecast model includes a primary smoothing model, a secondary smoothing model, and a three-time season A model, the outputting the predicted sales data includes obtaining a correction coefficient of the predicted sales data. The replenishment method includes: obtaining the daily average sales volume, replenishment lead time and safety stock days based on the analysis of historical sales data and forecast sales data; calling the target inventory calculation formula, inputting the replenishment cycle, and outputting the target inventory; Take the replenishment quantity calculation formula, input the quantity of goods in stock and the quantity of goods in transit, and output the quantity of replenishment. The invention comprehensively considers various situations in commodity sales, obtains sales forecast and replenishment data more clearly and accurately, and improves sales management efficiency.

Synchronization software in a computer operating system evaluates with respect to an exposure goal the ages of byte stream files queued for synchronization, and dynamically adjusts synchronization ("sync") capacity in response to the evaluation. The synchronization of byte stream files occurs at rates responsive to the sync capacity. Several parameters are used to adjust sync capacity: a lead time, the number of active sync tasks, and the priority of the sync tasks. These parameters are adjusted in a manner to impact system performance to the least extent possible.

A method for managing spare parts and tools for a manufacturing enterprise is disclosed. Historical demand values are statistically analyzed to determine optimal stocking levels for spare parts based upon required availability percentages, parts lead times, and the statistical distribution parts demand levels. Parts stocking decisions can also be based upon planned and preventative maintenance timeframes with such parts ordered on an as-needed basis in accordance with lead times. Spare parts inventory management can utilize an enterprise-wide computer system to integrate parts demand planning with systems used for engineering and other changes to manufacturing processes and facility maintenance systems. The computer system can perform varying degrees of the parts reordering and planning process and automate certain steps while providing for decision of other issues by parts management personnel.

A system for integrating a packaging supply chain from a point that a digital contract proof is available through delivery of finished packaging materials to an end user, wherein said system comprises a computer system accessible for interactive communications with users, said computer system comprising a first memory area for storing functionality and data for end user members of the supply chain; a second memory area for storing functionality and data for converter members of the supply chain; and a third memory area for storing functionality and data for other members of the supply chain.

Apparatus and methods for identifying traffic patterns to web sites based on templates that characterize the arrival of traffic to the web sites are provided. Based on these templates, determinations are made as to which web sites should be co-located so as to optimize resource allocation. Specifically, web sites whose templates are complimentary, i.e. a first web site having a peak in arrival traffic at time t1 and a second web site that has a trough in arrival traffic at time t1, are designated as being candidates for co-location. In addition, the present invention uses the templates identified for the traffic patterns of web sites to determine thresholds for offloading traffic to other servers. These thresholds include a first threshold at which offloading should be performed, a second threshold that takes into consideration the lead time needed to begin offloading, and a third threshold that takes into consideration a lag time needed to stop all offloading of traffic to the other servers.

An autonomous driving system for a vehicle includes: a computer unit which evaluates surroundings-related and vehicle-related data with the aid of sensors and carries out an automatic driving operation based on the data; a lead time calculator assigned to the computer unit and determining a lead time by evaluating the surroundings-related and vehicle-related data, the lead time requiring an intervention by the driver; and a comfort time calculator assigned to the computer unit and calculating a reaction time of the driver by evaluating driver-related data, the comfort time calculator continuously comparing the lead time with the reaction time and determining therefrom a comfort time which is determined by taking the difference between the lead time and the reaction time. When the comfort time reaches zero, a countermeasure including a prewarning of the driver and / or a mode change of the driving system is initiated.

A system and method for creating and executing a business model for domain specific decisions to compare possible alternative business solutions to maximize results is provided. A domain-specific return on investment (ROI) or financial measurements model and a calculator for buying and selling information technology based solutions targeted at improving overall business efficiency and effectiveness. This may include, for example, reducing lead time, improving probability of success, creating an innovative environment, enhancing corporate image, reducing cost and improving revenues, or the like. These business objectives may be connected to the capabilities provided by vendor solutions which might be based on technology, process, people, science, or the like, typically through concrete initiatives. Alternative solution components may be quantified and used to calculate financial impacts for various solution choices.

The invention discloses a real-time material distribution method in a mechanical product assembling process, which is characterized in that: according to the production plan on the same day, calculating to obtain all required parts; by considering the storage capability, the existing amount, the material lead time and the product cycle time of each part on each station, calculating a material distribution scheme; distributing the parts in time on small batches according to the obtained distribution scheme; simultaneously, tracking the on-site production situation by an MES system in real time; recording manufacturing product situation and the material consumption situation of each station; and timely feeding back production plan information and station inventory information. The method of the invention can realize on-time material distribution, feeds back and adjusts the distribution scheme in time according to real-time working condition, can improve production efficiency and lowers product cost.

The invention discloses a system for supplying materials for a mixed assembling production line based on an RFID. A method for supplying the materials for the mixed assembling production line based on the RFID includes the steps of enabling products which are being processed and to be assembled beside the production line to be equipped with RFID labels, reading assembly information of the production line in real time through an RFID read-write device, transmitting the information to a data storage and application module through a middle part, monitoring the RFID read-write device through the data storage and application module, and obtaining a distribution scheme through the real-time assembly information. According to the system for supplying the materials, the invention further provides the method for supporting the materials. By determining the distribution lead time of the materials, the acquisition cycle of the RFID read-write device and the data taking and using middle cycle of the middle part, the required amount of the materials which are to be assembled beside the production line is obtained through the data storage and application module, and the distribution scheme is obtained according to transportation vehicles. According to the system and method, workshop assembly schedule information and assembly line state information are automatically collected, and the response capacity, the flexibility degree and the distribution efficiency of the distribution requirements of the materials beside the production line are improved.

A Managing component supply for complex products is achieved by monitoring the delivery performance of component suppliers and optimizing the times at which orders are placed. Supply delivery performance targets are set for each supplier, and component order times are optimized by 1) optimizing safety stock for each component, 2) calculating optimal times to place supply orders in order to maintain the safety stock level, and then 3) iterating safety stock calculations in order to minimize overall inventory costs and maximize supply availability. The process takes into account supply lead times, component costs, and target tolerances for delays in the assembly of components. The effects of changes in supply lead time performance on assembly schedules are projected for planning purposes.

System(s) and method(s) to provide inventory optimization in a multi-echelon supply chain network are disclosed. An input data comprising one or more product supply parameters along with an uncertainty factor associated with the product supply parameters are received through a configurable user interface. The input data is used to create a multi-echelon supply chain network. Supplier nodes are selected based on optimizing parameters and are allocated with respect to demand nodes. A lead time demand and a safety stock parameter are calculated. An optimal inventory plan is generated for each supply chain member associated with the supply chain network along with the safety stock parameter by minimizing the uncertainty factor thereby providing the inventory optimization. The optimal inventory plan is displayed in one or more parameters over the configurable user interface.

Computing a personalized deal menu for a seller may be provided. The seller may operate one or more sales channels. A customer's willingness to wait in purchasing based on purchasing history of a customer may be determined. A purchase probability model that predicts a likelihood of the customer performing a purchase now compared to waiting to make the purchase may be formulated. A personalized price menu optimization model with one or more rules as constraints that jointly determines multiple prices, a price corresponding to a different purchase option with different lead time, may be solved. The personalized deal menu may be generated based on the solving.

The present inventive subject matter relates to an automated, consumer-driven, pre-production, seasonal vaccine reservation system for facilitating the efficient production, distribution, and / or administration of health-critical, long-production-lead-time seasonal vaccines, or other pharmacological agents, whereby use of such a consumer-driven vaccine reservation system provides a highly effective means for substantially ensuring or guaranteeing that consumer demand for seasonal vaccine can be fully and consistently met, but without subjecting the producers of vaccine and / or other cognizant parties associated with the healthcare industry to undue financial risk. In addition to the physical elements comprising such a consumer-driven vaccine reservation system, the present invention also represents various unique operational methods for accurately matching seasonal vaccine supply with seasonal consumer demand, thereby substantially facilitating production, distribution, and / or timely administration of vaccine.

A method and system are described for managing component supply for complex products by monitoring the delivery performance of component suppliers and optimizing the times at which orders are placed. Performance of component suppliers is monitored by setting supply delivery performance targets for each supplier, and then monitoring and managing supply delivery performance for each supplier. Component order times are optimized by 1) optimizing safety stock for each component, 2) calculating optimal times to place supply orders for each component in order to maintain the safety stock level, and then 3) iterating safety stock calculations in order to minimize overall inventory costs and maximize supply availability, taking into account supply lead times, component costs, and target tolerances for delays in the assembly of components. The method also provides projections of effects of changes in supply lead time performance on assembly schedules so that managers can seek delivery improvements from component suppliers.

A method for managing spare parts and tools for a manufacturing enterprise is disclosed. Historical demand values are statistically analyzed to determine optimal stocking levels for spare parts based upon required availability percentages, parts lead times, and the statistical distribution parts demand levels. Parts stocking decisions can also be based upon planned and preventative maintenance timeframes with such parts ordered on an as-needed basis in accordance with lead times. Spare parts inventory management can utilize an enterprise-wide computer system to integrate parts demand planning with systems used for engineering and other changes to manufacturing processes and facility maintenance systems. The computer system can perform varying degrees of the parts reordering and planning process and automate certain steps while providing for decision of other issues by parts management personnel.

A method for forecasting flood, the method including: 1) collecting historical flood information, estimating a mean concentration time of a basin, and determining a length of a lead time; 2) establishing hydrological models, inputting hydrological variables including precipitation and evaporation to the hydrological models while neglecting the precipitation within lead times; 3) determining an objective function, which is a sum of squared errors between a forecasted streamflow and an observed streamflow within multiple lead times, and utilizing optimized algorithms to calibrate hydrological model parameters; and 4) selecting criteria to evaluate forecasting performance of the hydrological model including a Nash-Sutcliffe efficiency, a root mean square error, a water balance index, a qualified rate of peak flow, and a qualified rate of a peak time.

A safety stock amount calculation method includes step S8 for calculating a probability Pb that a delivery time for a certain commodity required by a customer is shorter than its lead time L, step S9 for calculating an average value LL of a difference between the lead time L and the customer's required delivery time when the lead time L exceeds the customer's required delivery time, step S10 for correcting an inventory adjustment period N by using the average value LL, and step S11 for calculating a safety stock amount SS by the equations SS=PB×k×(√{square root over ( )}N×F)×σ, wherein σ is a standard deviation of demand for the commodity, N is a corrected inventory adjustment period, Pb is a probability, F is a shipment frequency, and k is a safety coefficient.

Allocating limited manufacturing resources to achieve a feasible production plan that is consistent with customer demand is a difficult and common problem faced in many manufacturing industries. For large-scale multi-stage manufacturing systems, existing methods are typically based either on allocating limited resources sequentially, according to a priority ranked list of production starts, or linear programming based models. The output of such planning models is a production plan which specifies the quantity of each part to produce at each plant, using resources available to the enterprise. Typically there are lot-sizing rule defining the permissible production start quantities. The invention disclosed herein is a method for applying these rules to the lot-sizing of production starts within a linear program. It employs advanced heuristics that consider both established operational objectives (e.g. customer service, short lead times, low inventory, and prioritized allocation of supply and capacity) and lot-size rules to efficiently compute a feasible production plan for the division.

The present invention relates to an absolute time difference processing algorithm that is a high-precision time calibration method based on FPGA by using a prevalent processor FPGA chip, especially relates to a high-precision clock source leading phase processing algorithm. The present invention can realize a relative time difference calibration and an absolute time difference calibration at the same time by using a high-accuracy clock source leading phase processing algorithm, the main time difference calibration algorithm is performed by FPGA, leading phase time difference especially the time difference leading up by one FPGA working clock period is converted into a legging time difference through the cooperation of DSP and is performed with an on-second calibration by a FPGA to obtain high-accuracy time reference pulses and a time thereof, before the calibration of leading time difference of which the absolute value is smaller than a period of time reference pulses, time and reference time synchronization can be realized, therefore, the method has characteristics of reduced ground injection frequency, fast inter-constellation synchronization and high real-time performance, and realizes the constellation time synchronization.

The invention comprises a method for achieving consideration of preemptive priorities within a supply chain optimization model. More specifically, the invention provides a method of allocating resources to a hierarchy of demand priorities in a linear programming production planning system. In particular, the invention aggregates the demand priorities into different priority groups and allocates the resources to the highest priority group of demand priorities using a first linear programming model. Next, the invention allocates remaining resources to the next highest priority group of demand priorities using a second linear programming model. The second linear programming model uses results from the first linear programming model. The invention continues this process by iteratively repeating the process of allocating remaining resources to the remaining groups of demand priorities, in order of priority. The system and method were employed to integrate the consideration of preemptive prioritization of customer demands with an advanced planning system for optimizing established planning objectives (e.g. customer service, short lead times, low inventory, and prioritized allocation of supply and capacity) to compute a feasible production plan for the division.

Methods and system for scheduling purchase orders are disclosed. The method includes defining a purchasing order for a delivery period, the purchase order having two or more items, and the delivery period corresponding to two or more order periods. The method also includes determining a latest order period for each item to satisfy a pre-determined lead time between order placement and delivery for delivery in the delivery period, and assigning each item to one of the order periods. At least one item in the purchase order is assigned to a latest order period of the at least one item.

The invention discloses a buffer management method and buffer management system for a buffer server. The buffer management method comprises the steps of writing data of buffer items into a buffer, calculating a timestamp of a next pre-refreshing time of the data of the buffer items according to the set failure time and lead time of the data of the buffer items, pushing the data of the buffer items to a message queue, and carrying out asynchronous buffering and refreshing operation on the data of the buffer items in the message queue according the timestamp of the next pre-refreshing time of the data of the buffer items. By means of the buffer management method and buffer management system for the buffer server, the safety of a rear end data source can be effectively protected.

The invention provides a three-dimensional digitization final assembly technology collaborative design system which at least comprises a final assembly technology data management module, a final assembly technology process management module, a final assembly technology personnel organizational management module, a final assembly technology authority management module, a final assembly technology collaborative design module, a final assembly technology simulation and verification module and a final assembly technology data dissemination module. Through secondary development and software implementation, the three-dimensional digitization final assembly technology collaborative design system establishes an integrated three-dimensional digitization collaborative environment by taking data management as a core, and enables the product three-dimensional model to be fully shared and used on various business links of a whole enterprise; distributed data and document collaborative management is realized, through the research of a process management method of a product cross-domain collaborative design manufacturing business process, the product is enabled to be subjected to quick seamless integration from design to technology, the lead time of the product is effectively reduced, and the three-dimensional digitization of the design and manufacture is realized.

An automatic inventory management system comprises an inventory management database to store inventory information useful in the inventory management and to include description, lead time, daily consumption quantity etc. of a plurality of resources; a maximum stock factor setting module to allow user to set a maximum stock factor; a purchase quantity control module to calculate and output a suggested purchase quantity for particular resources based on factors as set in said maximum stock factor setting module and data contained in said inventory management database; and an alert module to generate an alert when the quantity of inventory of a particular resource approaches to a predetermined value, to suggest the user to purchase the particular resource. A user needs only to set the maximum stock factor and the invented system automatically calculates quantity of resource for which a purchase order should be made and the inventory management is conducted automatically.

A method and apparatus for effectuating the shipment and appointment making process between buyers, sellers and third party service providers in a supply community. Any shipping location may create and maintain an appointment calendar within which one or more other participants may seek and select open time slots and request shipping reservations for unreserved slots. Operating hours, peak and off-peak hours, the duration of each dock time slot, any set aside time slots (left unreserved for exception events), and the appointment making lead-time window in the appointment calendar are specified by the shipping location. The shipping location can assign participants specific appointment making privileges and manually review and accept or reject appointment requests for requestors that have not been granted self-appointing privileges. The apparatus includes an internet-based program tool by which any participant can query and view only appointment information relevant to them, but including the entirety of a multi-participant multi-segment tour, such as a continuous move or a multi-stop pick-up and / or delivery shipments to facilitate participant collaboration in the planning of the multi-participant shipment.

The invention relates to a supply chain inventory optimization method for lightweight information sharing. The method comprises the following steps: (1) acquiring order and replenishment information of wholesalers or retail dealers; (2) inquiring inventory data of distributors according to the order and replenishment information; (3) predicting order points and economic order quantity of the distributors in lead time of order; (4) judging whether the replenishment information is generated or not and generating a warning notification; (5) sending out an order application to upstream enterprise according to the replenishment information; (6) generating a centralized distribution scheme according to the shortage cost, the discount cost and the transportation cost of the wholesalers and the retail dealers, and sending delivery information to the wholesalers or the retail dealers; (7) updating an inventory database of the distributors after the distributors receive the distribution information of the upstream enterprise. According to the supply chain inventory optimization method disclosed by the invention, the optimal centralized distribution scheme for enabling the total cost of a supply chain to be lowest can be made when order requirements of the retail dealers or the wholesalers arrive, and the double marginal effect of the supply chain is eliminated.

A process for determining an optimal method and cost of packaging and shipping goods gathers data from sources including order information, product characteristics, packaging materials and specifications, labor rates, and shipping and transportation rates in order to determine an optimal configuration for packaging for a designated freight mode and time. The process determines the optimal method by considering any specifications or requirements for the order, lead times, available packaging materials and freight options, and then calculates the least total cost of material, labor, and freight combined. The process is designed to provide the cost of packaging and shipping information in real time, when a buyer and seller are deciding whether to consummate a transaction.