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Dynamic Performance and Stability Research of VMI-APIOBPCS in Apparel Industry Based on Control Theory

Xueli Zhan, Qin Zhang and Wenfeng Xie
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Xueli Zhan: College of Economic and Management, Tianjin University, Tianjin, China & School of Economics, Beijing Wuzi University, Beijing, China
Qin Zhang: College of Economic and Management, Tianjin University, Tianjin, China
Wenfeng Xie: College of Economic and Management, Tianjin University, Tianjin, China

International Journal of Enterprise Information Systems (IJEIS), 2018, vol. 14, issue 2, 56-76

Abstract: In this article, the authors mainly investigate the dynamic performance of VMI-APIOBPCS (Vendor Manage Inventory-Automatic Pipeline Inventory and Order Based Production Control System) in the apparel industry. With the increasing importance of supply chain system integration, VMI-APIOBPCS can integrate various kinds of elements in the real operation, which is proved to be very effective in solving complex problems. Apparel supply chains have relatively more complicated dynamic behaviors because of the factors like volatile demand, the strong seasonality of sales and the large number of items with short life cycle or lacking historical data. In order to clear these behaviors, and come up with new ideas to solve present difficulties, the authors apply classic control theory to build up the model of VMI-APIOBPCS in apparel supply chain. They then analyze the dynamic performance of apparel supply chain and use Routh-Hurwitz Stability Criterion to analyze the stability on the expectation that the outcomes of our research can be useful in the practical occasions.

Date: 2018
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