Hitachi, Ltd.

Renesas Technology Corp.

Kenichi Funaki

Hiroyuki Konno

Kazuhiko Maeda

Hiroshi Yamada

Keiji Kojima

Toshiyuki Ono

Yuichi Yagawa

Kenji Baba

Kiyoshi Kumagai

Hajime Yuasa

Takahiro Ogura

Akira Nagamatsu

Jun Akashi

Kenichiro Masunaga

Masahiro Koyama

Kiyohisa Kawase

Yoshio Kobayashi

Osamu Mishima

Takashi Honma

Yasunori Yamashita

Kenji Oya

Display screen with graphical user interface

Writing paper

A build-to-order production process is determined in consideration of magnitude of demand. A lead time calculating section () calculates process-specific lead time proportional to the time at which the number of items required to produce the amount of demand for products which are periodically ordered is processed for each process of manufacturing a product and selects a process in the range in which the sum value after the calculated process-specific lead time is added to the travel time between the processes does not exceed the lead time permissible by the client as a build-to-order selection process.

Device for determining build-to-order production process, program, system for determining build-to-order production process, and method for determining build-to-order production process

A production plan enabling suppression of occurrence of excess stock is made. A shipping request representing the requested amount of shipping for each shipping request week is received. Among the shipping weeks of the shipping requests, the furthest future shipping request week is handled as the furthest future shipping week, and the amounts of shipping of shipping weeks near the present time are determined sequentially from the amount of shipping of the furthest future shipping week.

Production plan making program, device, and method

The shipping planning system stores price/quantity relationship data for products in advance, calculates additional variable cost for shipping quantity for each product based on available resource and inventory, procured resource amount, procurement lead time, and available facility capability, evaluates relative profit subtracting opportunity loss of other products which shares the resources from a margin profit of the product using the additional variable cost, and determines the product to be shipped which makes the relative profits positive, and a shipping quantity and a price of the product using the price/quantity relationship data.

Shipping planning system

An issue to be settled by the present invention is to define a simulation model in accordance with the structure of a causal relation easy to be understood by human and to shorten greatly a simulation program development period. A simulation program is automatically generated by extracting, as nodes, specific items such as phenomenon, events and targets of constituent elements of economy, society or the like regarded as a system, coupling the nodes with arcs to define the structure of the causal relation, and defining a variable necessary for calculating metrics and a calculation formula therefor, relative to a simulation model inheriting the defined structure.

Simulation model defining system for generating a simulation program for a simulator simulating a behavior of economy or society regarded as a system of phenomena and events

A simulation model generator presents a screen view which defines causality between phenomena and events using nodes and links to support user's input operation. The generator includes a database for storing and controlling in a centralized way, metric information representing, for each of the registered phenomena and events, a quantity indicating a magnitude of the phenomenon or the event; unit information including, for each unit, a unit name, a conversion coefficient, and a time flag determining whether the unit is associated with time; coefficient information including coefficient name and coefficient value to be used in a metrics calculation formula, and a simulation time bucket representing a period of time per time step in the simulation; and a simulation model generating module for generating a simulation model using data registered to the database.

Simulation model generator of causality phenomena and events

The production of semiconductor devices manufactured through a plurality of manufacturing sites is unitarily managed and an appropriate production plan is instructed. A computer projects a production plan of an entire company based on various information. The production plan is provided to each manufacturing site as a production instruction and provided to each business person or customer as a storing reply or an order accepting period reply. If the projected production plan (possible production volume) does not coincide with a production plan (necessary production volume), parameters obtained by correcting production allocation, production capability, lead time, yield and the like are re-input from a parameter input terminal. Based on the corrected parameters, the computer re-projects the production plan and projects an optimum production plan.

Production planning system

Growing community of inventors

Tokyo, Japan

Kenichi Funaki