A State‐Feedback Approach to Inventory Control: Analytical and Empirical Studies. Issue 3 (25th January 2016)

• Record Type: Journal Article
• Authors: Zhao, Yingxue; Zhao, Chuan; He, Mingke; Yang, Changchun
• Other Names: Choi Tsan‐Ming guestEditor.; Cheng T. C. E. guestEditor.; Zhao Xiande guestEditor.
• Is Part Of: Production and operations management. Volume 25:Issue 3(2016)
• Page Start: 535
• Page End: 547
• Publication Date: 2016-01-25
• Subjects: inventory management and control -- state‐feedback model -- control theory -- empirical study -- multi‐methodological research; Production management -- Periodicals; 658.505
• DOI: 10.1111/poms.12522
• Languages: English
• ISSNs: 1059-1478

Abstract

Abstract : By applying the state feedback principle of control theory, this study develops a state‐feedback model that is capable of self‐compensation and self‐adjustment for inventory control. To be specific, under the state‐feedback model, deviation between material order quantity and actual shipment can be dynamically adjusted in response to the actual shipment with the pole‐placement state‐feedback mechanism. As a result of this merit, the state‐feedback model can ensure a more accurate order in each step of the inventory control process and thereby attain a more effective inventory control, particularly, a significant reduction of the inventory cost. In addition to analytical research, empirical studies are also conducted for the analytical model by using data collected from the industry. The empirical results show that the state‐feedback model can attain a significant improvement for inventory control and the effectiveness and applicability of the state‐feedback model can be well empirically tested.