Hitachi, Ltd.

Tazu Nomoto

Atsuki Kiuchi

Mitsuhiro Enomoto

Takahiro Ogura

Masayasu Uozaki

Yasuo Bakke

Masayuki Toda

Kenji Oya

Sachiko Iwamoto

Katsunari Ikezawa

Mitsunobu Nakamura

Teppei Inoue

A plan parameter obtaining an optimal result between a plurality of software pieces that are linkingly operated is calculated. A value chain plan linking method that uses a value chain plan linking apparatus that combines and executes a plurality of software pieces according to a task. At least any one of the plurality of software pieces uses, as an input parameter, an output parameter obtained from any one of other software pieces included in the plurality of software pieces. The value chain plan linking apparatus executes a different solution requiring step of calculating a plurality of the output parameters in each of the plurality of software pieces, and a displaying step of displaying, as an overall plan, the output parameter obtaining a best key performance indicator value in the entire value chain according to a combination of the input and output parameters of the plurality of software pieces.

Value chain plan linking method, value chain plan linking apparatus, and value chain plan linking system

A delivery date answering apparatus includes: an order quota calculation and disclosure unit for calculating surplus inventory of a product in a demand forecast channel, which is a sales channel where order quantities are forecasted, using the actual inventory and a sales plan of the demand forecast channel, and transfer the surplus inventory to an orderable quota for a non-demand forecast channel, which is a sales channel where order quantities are not forecasted, and set a predetermined disclosed quota for the orderable quota; and an actual order acquisition and delivery date answering unit for determining whether the quantity of an actual order acquired in the non-demand forecast channel is within a range of the disclosed quota. When the order is within the range, answer a date when the actual order is deliverable. When the order is not within the range, answer the order is undeliverable.

Delivery date answering apparatus and delivery date answering method

A procurement work assistance device includes a storage unit configured to store order history information, delivery history information, and a procurement plan in which an item to be procured is registered, a delivery expectation index calculation unit configured to calculate, by using the order history information, a delivery expectation index indicating easiness of delivery for each item of each supplier, and an order plan formulation unit configured to generate delivery expectation index histogram information indicating a relationship between the delivery expectation index and a delivery rate calculated based on the delivery history information, calculate a delivery expectation index of the item in the procurement plan, determine, by using the delivery expectation index histogram information, the supplier having the highest delivery rate associated with the delivery expectation index, and generate order plan information including the item in the procurement plan and the determined supplier.

Procurement work assistance system, procurement work assistance device, and procurement work assistance method

The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

Supply chain management system, supply chain management method, and supply chain management apparatus

A parallel distributed processing control system used in production distribution planning includes: a storage unit storing step information of steps constituting a production distribution process of a product, CPU information of CPUs that calculate a value of a simulation result for the step, and a constraint value in the production distribution process; a divided model generation unit generating a divided model by grouping the steps; a CPU allocation unit allocating the divided model to the plurality of CPUs; an engine execution unit enabling the CPU to calculate the value for the step constituting the divided model; and a constraint monitoring unit determining whether the value satisfies a condition specified by the constraint value. An output information generation unit generates result information using the value satisfying the condition; and the CPU allocation unit allocates the divided model so that processing loads of the plurality of CPUs are equalized.

Parallel distributed processing control system, program, and parallel distributed processing control method

A production plan for a second base is generated that is suited to the circumstances of the second base while making use of a first base's know-how about adjusting a production plan. A storage unit is configured to store plan adjustment knowledge regarding a plan adjustment that has been made to a production plan for the first base. A generation unit is configured to generate production adjustment knowledge regarding a production adjustment that has been made at the second base, which has a production management level different from that of the first base, based on production capacity and production performance of the second base. A planning unit is configured to generate a production plan for the second base based on the plan adjustment knowledge stored in the storage unit and on the production adjustment knowledge generated by the generation unit.

Plan generating device and plan generating method

Provided is a production planning apparatus including: a storage unit configured to store: actual performance information on a resource required for production; a planning master including a plan of a resource required for work of the production; and a planning parameter including a variable required for a production plan; a parameter generation processing unit configured to change the plan of the resource required for the work, which is included in the planning master, based on a difference between the plan of the resource, which is included in the planning master, and actual performance of the resource required for the production, which is included in the actual performance information, and change the planning parameter based on how greatly the planning master is changed; and a production plan processing unit configured to calculate a production plan that uses the planning master and the planning parameter.

Production planning apparatus and production planning method

For planning a production plan which satisfies a plural number of target values of management indices, upon calculating out production amount, supply amount and/or transportation means of plural products, various kinds of target values of management indices and estrangement values thereof are set into restriction conditions when those restriction conditions are formulated into a linear programming problem, and then feasible production plan is calculated out, so that the estrangement between the management indices being calculated from executable solutions of the above-mentioned linear programming problems and the target values thereof comes to be minimal.

Method of production planning

The invention proposes a method for devising a production plan of a product to be produced through multiple production steps having different characteristics in a supply chain across multiple companies and/or multiple factories. The method divides a production step of the product into multiple production steps in advance based on a constraint to be considered when the production plan therefor is devised, defines identifiers for the multiple production steps, prestores the defined identifiers in a storage portion as step identification information, and prestores step information having at least correspondences between the production steps and items. In this case, a calculation processing portion identifies and determines production steps and order of calculations, which are involved in the production of the product, based on the shipping plan information, parts table and step information stored in the storage portion, determines which of first and second production plan calculation algorithms is to be executed based on the order of calculations and based on the step identification information stored for each production step, and calculates the production plan by using the determined algorithm.

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Tokyo, Japan

Tazu Nomoto