Parts ordering system for improving efficiency of parts delivery

Abstract

The invention provides parts ordering system with which parts manufacturers can optimize the inventory and easily establish production schedules. The parts ordering system comprises a database for storing predicted required amount of parts received from a plurality of purchasers; a computer programmed to calculate predicted amount of orders of the parts within a predetermined period based on said predicted required amount, and to calculate fixed amount of orders of the parts in response to receiving fixed required amount from the purchasers; and communication means for sending to the suppliers, via communication network, data on the orders of a first delivery time when said fixed amount of orders is less than said predicted amount of orders and sending to the suppliers, via communication network, data on the orders of a second delivery time when said fixed amount of orders exceeds said predicted amount of orders, wherein said second delivery time is longer than said first delivery time.

Description

technical field [0001] The invention relates to a component ordering system, in particular to a component ordering system for predicting the number of component orders to improve the delivery efficiency of components. Background technique [0002] According to the conventional parts ordering system, parts orders received from buyers such as domestic distributors are collected almost once a month to issue firm orders to parts suppliers such as brand manufacturers' own factories or parts manufacturers. Suppliers send parts at scheduled delivery times based on firm orders. [0003] However, because suppliers may violate scheduled delivery times if they receive a large order beyond their manufacturing capabilities, suppliers must prepare for such orders by maintaining large inventories of parts to maintain delivery times. In terms of cost and management, it is desirable to keep this component inventory to a minimum. Also, if the number of parts to be stably ordered can be esti...

AI Technical Summary

Problems solved by technology

[0003] However, because suppliers may violate scheduled delivery times if they receive a large order that exceeds their manufacturing capabilities, suppliers must prepare for such orders by maintaining large inventories of parts to maintain delivery times

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