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How Does a Radio Frequency Identification Optimize the Profit in an Unreliable Supply Chain Management?

Author

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  • Rekha Guchhait

    (Department of Mathematics & Statistics, Banasthali Vidyapith, Rajasthan 304022, India
    Department of Industrial & Management Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea)

  • Sarla Pareek

    (Department of Mathematics & Statistics, Banasthali Vidyapith, Rajasthan 304022, India)

  • Biswajit Sarkar

    (Department of Industrial & Management Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea)

Abstract

Competition in business is higher in the electronics sector compared to other sectors. In such a situation, the role of a manufacturer is to manage the inventory properly with optimized profit. However, the problem of unreliability within buyers still exists in real world scenarios. The manufacturer adopts the radio frequency identification (RFID) technology to manage the inventory, which can control the unreliability, the inventory pooling effect, and the investment on human labor. For detecting RFID tags, a reasonable number of readers are needed. This study investigates the optimum distance between any two readers when using the optimum number of readers. As a vendor managed inventory (VMI) policy is utilized by the manufacturer, a revenue sharing contract is adopted to prevent the loss of buyers. The aim of this study is to maximize the profits of a two-echelon supply chain management under an advanced technology system. As the life of electronic gadgets is random, it may not follow any specific type of distribution function. The distribution-free approach helps to solve this issue when the mean and the standard deviation are known. The Kuhn-Tucker methodology and classical optimization are used to find the global optimum solution. The numerical analysis demonstrates that the manufacturer can earn more profit in coordination case after utilizing revenue sharing and the optimum distance between readers optimizing cost related to the RFID system. Sensitivity analysis is performed to check the sensibility of the parameters.

Suggested Citation

  • Rekha Guchhait & Sarla Pareek & Biswajit Sarkar, 2019. "How Does a Radio Frequency Identification Optimize the Profit in an Unreliable Supply Chain Management?," Mathematics, MDPI, vol. 7(6), pages 1-19, May.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:6:p:490-:d:235401
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    References listed on IDEAS

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    1. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Goh, Mark & Shaikh, Ali Akbar, 2018. "Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain," International Journal of Production Economics, Elsevier, vol. 200(C), pages 16-36.
    2. Ustundag, Alp & Tanyas, Mehmet, 2009. "The impacts of Radio Frequency Identification (RFID) technology on supply chain costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 29-38, January.
    3. Xiao, Tiaojun & Xu, Tiantian, 2013. "Coordinating price and service level decisions for a supply chain with deteriorating item under vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 145(2), pages 743-752.
    4. Tiwari, Sunil & Jaggi, Chandra K. & Gupta, Mamta & Cárdenas-Barrón, Leopoldo Eduardo, 2018. "Optimal pricing and lot-sizing policy for supply chain system with deteriorating items under limited storage capacity," International Journal of Production Economics, Elsevier, vol. 200(C), pages 278-290.
    5. Kim, T. & Glock, C. H., 2014. "On the use of RFID in the management of reusable containers in closed-loop supply chains under stochastic container return quantities," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63689, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    7. Mukhopadhyay, Samar K. & Yao, Dong-Qing & Yue, Xiaohang, 2008. "Information sharing of value-adding retailer in a mixed channel hi-tech supply chain," Journal of Business Research, Elsevier, vol. 61(9), pages 950-958, September.
    8. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2018. "Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 205-224.
    9. Dong, Yan & Xu, Kefeng, 2002. "A supply chain model of vendor managed inventory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(2), pages 75-95, April.
    10. Sarkar, Biswajit & Guchhait, Rekha & Sarkar, Mitali & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 243-257.
    11. Biswajit Sarkar & Chong Zhang & Arunava Majumder & Mitali Sarkar & Yong Won Seo, 2018. "A distribution free newsvendor model with consignment policy and retailer’s royalty reduction," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5025-5044, August.
    12. Biswajit Sarkar, 2016. "Supply Chain Coordination with Variable Backorder, Inspections, and Discount Policy for Fixed Lifetime Products," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-14, February.
    13. Arunava Majumder & Rekha Guchhait & Biswajit Sarkar, 2017. "Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(5), pages 588-612.
    14. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    15. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.
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    2. Peiyue Cheng & Guitao Zhang & Hao Sun, 2022. "The Sustainable Supply Chain Network Competition Based on Non-Cooperative Equilibrium under Carbon Emission Permits," Mathematics, MDPI, vol. 10(9), pages 1-31, April.

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