Abstract: A shipment instruction device according to the present invention: calculates a remaining capacity from a difference between a shippable quantity during the predetermined period and a quantity of a shipping order whose shipping deadline arrives during the predetermined period, the remaining capacity being a remaining shippable quantity during the predetermined period; generates a plurality of front-loaded shipping order group proposals including a shipping order whose shipping deadline arrives after the predetermined period within a range of the remaining capacity; calculates a quantity loadable during the predetermined period; calculates a shipping order group to be delivered in a period after the predetermined period for each front-loaded shipping order group proposal, based on the quantity of the shipping order whose shipping deadline arrives in the predetermined period, the quantity of the front-loaded shipping order group proposal, and the quantity loadable in the predetermined period; calculates a number

Abstract: This logistics network management device 1100: calculates, for each vehicle 1300, based on the expected arrival time at a delivery destination location at which the vehicle will arrive after an expected arrival at a delivery origin location and also based on information about vacant period of each shared unit 1210 at the delivery destination location, a recommended arrival time, which is the arrival time at the delivery destination location for which the period from arrival at the delivery destination location until the start of a prescribed operation is shortest; calculates a recommended departure time from the delivery origin location; and, for each vehicle 1300, when the vehicle 1300 can arrive at a shared unit 1210 that can be used at the delivery origin location at a time at or before the recommended departure time, displays information indicating that the vehicle 1300 should arrive at the stated time at the shared unit 1210 that can be used at the delivery origin location.

Abstract: A production simulation device includes one or more processors and one or more storage devices. The one or more storage devices store production performance information including information on a performance start time and a performance completion time of each process of a production job, and a simulation model including information on a process time of each process, a production resource group that is allocatable to each process, an operating time of each production resource of each production resource group, and a production control rule of the production line. The one or more processors execute a simulation using the production performance information and the simulation model, and calculate a simulation error by comparing the production performance information with a result of the simulation.

Abstract: Event data includes information on events in each process. Each dispatching rule model in each dispatching rule model set is configured to anticipate a job to be selected next from waiting jobs in an event in a process associated with the dispatching rule model set. One or more processors are configured to: generate anticipation results of a selected event with the plurality of dispatching rule models associated with the process; determine reliability of the selected event based on whether each of the jobs indicated in the anticipation results is the same as the job actually selected in the selected event shown in the production record data in each of the plurality of processes; and determine whether to include the selected event to training data for generating a new dispatching rule model based on the reliability in each of the plurality of processes.

Abstract: In a conventional manufacturing line simulation, there are a number of input items, and therefore, time is required for input. In addition, depending on the objective of the simulation, there are also parameters for which input is not required, and therefore, there is the problem of reducing the number of inputs according to the library.

Abstract: A shipping order allocation apparatus creates a group composed of shipping orders; acquires a time to start picking for the group; acquires blocks where articles included in the group are stored and calculates a total worktime for the picking of the group; determines whether the picking work for the group is completed by the earliest shipping time limit among shipping time limits of the shipping orders in the group, the time to start the picking, and the total worktime for the picking; calculates an evaluation value of the group for which the picking work is determined to be completed by the earliest shipping time limit, based on the blocks storing the articles included in the group; and determines whether to include the group in a result of allocation to groups, based on the evaluation value.

Abstract: A product shelf layout design device, in generating each of a plurality of product shelf layout design drafts, includes a product shelf group, a product allotment, a maximum storage amount, and resupply point in the product shelf layout design draft, calculates picking operation man-hours of each of the plurality of product shelf layout design drafts, calculates resupplying operation man-hours of each of the plurality of product shelf layout design drafts, and selects a product shelf layout design based on the picking operation man-hours and the resupplying operation man-hours of each of the plurality of product shelf layout design drafts.

Abstract: A shipping order allocation apparatus creates a group composed of shipping orders; acquires a time to start picking for the group; acquires blocks where articles included in the group are stored and calculates a total worktime for the picking of the group; determines whether the picking work for the group is completed by the earliest shipping time limit among shipping time limits of the shipping orders in the group, the time to start the picking, and the total worktime for the picking; calculates an evaluation value of the group for which the picking work is determined to be completed by the earliest shipping time limit, based on the blocks storing the articles included in the group; and determines whether to include the group in a result of allocation to groups, based on the evaluation value.

Abstract: The operation-time calculation device is configured such that the following processes are performed: a process in which operation-data information, work-time information, and operation-time information are stored in a storage unit, an input unit receives from a user parameter input at least including steps to be aggregated, aggregation start time, aggregation finish time, and aggregation unit time period, and a controller sets the aggregation time period on the basis of the parameters that were input; a process for converting total work time of the steps to be aggregated in each aggregation time period and the corresponding operation time using an operation-time conversion coefficient and calculating total operation time of the steps to be aggregated in the aggregation time period; a process for calculating the differential between total work time of the aggregation time period and total operation time; and a process for changing the operation-time conversion coefficient to minimize the differential.

Abstract: The present invention is to forecast change management and impact with respect to contract conditions when making a distribution warehouse estimate, and improve precision in the estimation thereof. Provided is a warehouse profit simulation device, comprising: an information storage unit which stores data relating to income and outlay in each phase from estimation to operation of a distribution warehouse as historical data in a unitary manner; a profit description deviation analysis unit which reads out the historical data from the information storage unit, carries out a factor diagnosis of the deviation between the estimated amount and the outlays thereafter, and specifies a description of the deviation thereof; a contract condition change scenario registration unit which creates a contract condition change scenario, and registers same in the information storage unit; and a profit calculation simulation execution unit which executes a distribution warehouse profit calculation simulation.

Abstract: On the basis of picking-operation-results information for each component, component-shelf-interval-distance information, and component-shelf-layout information, which is all stored in a storage unit, this component-shelf-layout design device calculates picking-movement distance and replacement-occurrence frequency and extracts an optimal component-shelf layout proposal from among the current component-shelf layout and a plurality of newly generated component-shelf layout proposals. Said configuration makes it possible to design a component-shelf layout proposal which makes it possible to efficiently execute a component-shelf picking operation and a component-shelf replacement operation in a production/distribution facility.

Abstract: According to the present invention, an accurate simulation result is obtained and computation time is shortened, by parallel computation of a production simulation executed by a plurality of processors. A target product line is divided into a plurality of blocks, and event groups which can be computed in parallel while acquiring accurate simulation results are formed based on the order of execution dates and times of the events in the divided block. First, a step effect relationship which shows whether or not an event computation process in a certain step affects an event computation process in another step is acquired, based on a production line configuration such as a step order and resource sharing relationship between the steps. Next, the production line is divided into a plurality of blocks which do not affect each other by putting the steps that affect one another into a block.

Abstract: In a conventional manufacturing line simulation, there are a number of input items, and therefore, time is required for input. In addition, depending on the objective of the simulation, there are also parameters for which input is not required, and therefore, there is the problem of reducing the number of inputs according to the library.

Abstract: The operation-time calculation device is configured such that the following processes are performed: a process in which operation-data information, work-time information, and operation-time information are stored in a storage unit, an input unit receives from a user parameter input at least including steps to be aggregated, aggregation start time, aggregation finish time, and aggregation unit time period, and a controller sets the aggregation time period on the basis of the parameters that were input; a process for converting total work time of the steps to be aggregated in each aggregation time period and the corresponding operation time using an operation-time conversion coefficient and calculating total operation time of the steps to be aggregated in the aggregation time period; a process for calculating the differential between total work time of the aggregation time period and total operation time; and a process for changing the operation-time conversion coefficient to minimize the differential.

Abstract: Conventional manufacturing line designing had a problem in that, when making the number of places for keeping partly-finished products (number of buffers) more appropriate in a factory layout, calculation took considerable time because a design proposal was selected through trial and error and a manufacturing line simulation was executed each time a design proposal was selected.

Abstract: The present invention provides a fluid distribution device for uniformly distributing and outputting a fluid, which is supplied to an input flow channel, into at least three output flow channels, comprising a plurality of branch flow channels, at least three fluid bifurcation portions, and at least one fluid converging portion, wherein the fluid distribution device is configured to correspond to a pressure drop compartment connection model composed of a fluid balance equation and a pressure balance equation. Furthermore, the present invention provides a micro plant using the fluid distribution device, a method of designing the fluid distribution device and a method of detecting blockage of flow channels of the fluid distribution device.

Abstract: The present invention provides a production schedule creating apparatus that acquires daily operation record for each process and changes the production sequence so as to instruct an operation in order to meet due date. A production schedule creating method plans a production schedule of a production process. The production process includes a plurality of operation processes. The production schedule creating method estimates a future status of delivery delay using a current status of the production process, performs a production simulation using a plurality of dispatching rules on a production process where the future delivery delay is estimated by the estimation, selects the most appropriate dispatching method with respect to a threshold value of a production management index of an on-time delivery rate and total overtime hours based on a result of the performed production simulation, and provides a production instruction to the production process using the selected dispatching method.

Abstract: The present teaching is intended to observe the delivery date of a product and decrease the number of workpieces in a merger process. A treatment sequence calculator included in manufacturing instruction equipment identifies an in-process part being worked in each process, and calculates the delivery-date allowance of the in-process part. In-process parts whose delivery-date allowances fall below a predetermined threshold are inputted to each process in ascending order of delivery-date allowances. In-process parts whose delivery-date allowances are equal to or larger than the predetermined threshold are inputted to each process in ascending order by a minimum value of remaining treatment times which the in-process parts take to reach the merger process.

Abstract: Planning items necessary for the evaluation of a manufacturing capability in a production line are categorized from process routes of operation achievement information for every ordered product, so that operation time per process unit is calculated. Thereupon the similarity of the process routes of the categorized planning items to those of an ordered product is evaluated, the planning items are allocated to the ordered product, and different product operation time is set up for every specification, so that a manufacturing capability of a production line is precisely evaluated to make a production plan.

Abstract: The present invention provides product delivery deadline compliance and increased worker training efficiency. A worker assignment scheme creation section of a worker assignment device creates a worker assignment scheme and calculates a job completion time for each process step of each product in accordance with a worker assignment rule. An evaluation value calculation section calculates evaluation values concerning delivery deadline compliance and worker training in accordance with processing results produced by the worker assignment scheme creation section. A worker assignment priority change section changes the worker assignment rule in accordance with the evaluation values and target values therefor. The above process is repeated a number of times to produce plural worker assignment schemes, which are compared in accordance with the evaluation values concerning delivery deadline compliance and worker training. The result of comparison is eventually presented to a user.