Research on robust multi-period inventory inaccuracy based on RFID technology

doi:10.1016/S1005-8885(15)60677-X

中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (5): 32-40.doi: 10.1016/S1005-8885(15)60677-X

• Electromagnetic • 上一篇下一篇

Research on robust multi-period inventory inaccuracy based on RFID technology

雷全胜,张俊彬

Beijing University of Posts and Telecommunications. Beijing 100876, China

收稿日期:2014-12-11 修回日期:2015-03-22 出版日期:2015-10-30 发布日期:2015-10-30
通讯作者: 雷全胜 E-mail:leiqshz@163.com
基金资助:
This work was supported by the National Science Foundation of China (71171022) and Industrial Project Foundation of Guizhou Province, China (GY[2013]3012).

Research on robust multi-period inventory inaccuracy based on RFID technology

Beijing University of Posts and Telecommunications. Beijing 100876, China

Received:2014-12-11 Revised:2015-03-22 Online:2015-10-30 Published:2015-10-30
Supported by:
This work was supported by the National Science Foundation of China (71171022) and Industrial Project Foundation of Guizhou Province, China (GY[2013]3012).

摘要/Abstract

摘要： Inventory inaccuracy has great influence on the supply chain performance and it has attracted much attention of large numbers of researchers. This paper mainly studies the robust multi-period inventory inaccuracy problem by attaching radio frequency identification (RFID) technology. In particular, the typical retailer-supplier flexible commitment (RSFC) problem is considered to cope with the uncertain environment. After modeling, robust optimization (RO) and the affinely adjustable robust counterpart (AARC) methodology are applied to solve the model. Finally, this paper uses a numerical example for the analysis of how RFID technology can be exploited in supply chain, and the effect of demand uncertainty on the systems. The results highlight the importance of inventory availability related rates and variable uncertainty in determining the profitability of RFID adoption, which can provide managerial guidelines to supply chain firms.

关键词: radio frequency identification (RFID) technology, inventory inaccuracy, robust optimization, supply chain

Abstract: Inventory inaccuracy has great influence on the supply chain performance and it has attracted much attention of large numbers of researchers. This paper mainly studies the robust multi-period inventory inaccuracy problem by attaching radio frequency identification (RFID) technology. In particular, the typical retailer-supplier flexible commitment (RSFC) problem is considered to cope with the uncertain environment. After modeling, robust optimization (RO) and the affinely adjustable robust counterpart (AARC) methodology are applied to solve the model. Finally, this paper uses a numerical example for the analysis of how RFID technology can be exploited in supply chain, and the effect of demand uncertainty on the systems. The results highlight the importance of inventory availability related rates and variable uncertainty in determining the profitability of RFID adoption, which can provide managerial guidelines to supply chain firms.

Key words: radio frequency identification (RFID) technology, inventory inaccuracy, robust optimization, supply chain

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Research on robust multi-period inventory inaccuracy based on RFID technology

Research on robust multi-period inventory inaccuracy based on RFID technology

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