A distributed configuration scheme for warehouse product service system

Abstract

Under the background of service-oriented manufacturing, warehouse product service system is a new kind of inventory service mode appeared in the Industrial Parks around the world. In this article, definition and characteristics of warehouse product service system were proposed and its service solution was clarified at first. Then, inventory items were divided into general parts and non-general parts based on a multi-criteria evaluation method. Next, a distributed configuration scheme was determined according to different requirements of manufacturing and service enterprises. The back-propagation neural network was used to estimate the safety stock of the general parts; while an exponential moving average method with a trend was used to estimate the space demand of the non-general parts. Finally, an industrial case was presented to verify the feasibility of the proposed scheme. It can be predicted that warehouse product service system can bring a value-added service and achieve a win–win situation for manufacturing and service enterprises.

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