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Meeting multiproduct demand with a hybrid inventory replenishment system featuring quality reassurance

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  • Chiu, Yuan-Shyi Peter
  • Chiu, Victoria
  • Lin, Hong-Dar
  • Chang, Huei-Hsin

Abstract

Globalization has not only generated immense business opportunities, but also created a very competitive marketplace. To retain competitive advantage, a manufacturer must satisfy a client's multiproduct and quality requirements with limited in-house capacity. An outsourcing strategy can overcome capacity constraints and shorten the fabrication cycle time. This study explores a hybrid multiproduct single-machine inventory replenishment system incorporating an outsourcing plan. The in-house multiproduct fabrication process is under a common cycle time policy. That is, each product receives one replenishment in a common cycle length. All fabricated items are inspected for quality; items with random defects are sorted out as scrap and repairable, and the rework occurs immediately after the regular fabrication. All reworked products that fail the quality reassurance test are scrapped. The quality of outsourcing items is assumed to be guaranteed by the outside provider. Our objective is to determine the optimal common cycle time that minimizes the total relevant cost. An accurate model is constructed to represent the characteristics of the system studied; furthermore, we utilize mathematical analysis to derive the total system costs and apply differential calculus to find the optimal cycle length. A numerical example illustrates the applicability of our result and highlights the effect of variations in outsourcing- and quality-related attributes on the optimal solution, as well as the various performance indicators that facilitate planning and controlling decisions.

Suggested Citation

  • Chiu, Yuan-Shyi Peter & Chiu, Victoria & Lin, Hong-Dar & Chang, Huei-Hsin, 2019. "Meeting multiproduct demand with a hybrid inventory replenishment system featuring quality reassurance," Operations Research Perspectives, Elsevier, vol. 6(C).
  • Handle: RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716018303555
    DOI: 10.1016/j.orp.2019.100112
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    References listed on IDEAS

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    1. Amiya K. Chakravarty, 2017. "Offshore outsourcing and ownership of facilities with productivity concerns," IISE Transactions, Taylor & Francis Journals, vol. 49(6), pages 642-651, June.
    2. Byrne, M. D., 1990. "Multi-item production lot sizing using a search simulation approach," Engineering Costs and Production Economics, Elsevier, vol. 19(1-3), pages 307-311, May.
    3. Awi Federgruen & Joern Meissner & Michal Tzur, 2007. "Progressive Interval Heuristics for Multi-Item Capacitated Lot-Sizing Problems," Operations Research, INFORMS, vol. 55(3), pages 490-502, June.
    4. Yves Pochet & Laurence A. Wolsey, 1991. "Solving Multi-Item Lot-Sizing Problems Using Strong Cutting Planes," Management Science, INFORMS, vol. 37(1), pages 53-67, January.
    5. Lin, Gary C. & Kroll, Dennis E. & Lin, C.J., 2006. "Determining a common production cycle time for an economic lot scheduling problem with deteriorating items," European Journal of Operational Research, Elsevier, vol. 173(2), pages 669-682, September.
    6. Pearce, Antony & Pons, Dirk & Neitzert, Thomas, 2018. "Implementing lean—Outcomes from SME case studies," Operations Research Perspectives, Elsevier, vol. 5(C), pages 94-104.
    7. Abraham Grosfeld-Nir & Yigal Gerchak, 2002. "Multistage Production to Order with Rework Capability," Management Science, INFORMS, vol. 48(5), pages 652-664, May.
    8. Saari, Juhamatti & Odelius, Johan, 2018. "Detecting operation regimes using unsupervised clustering with infected group labelling to improve machine diagnostics and prognostics," Operations Research Perspectives, Elsevier, vol. 5(C), pages 232-244.
    9. Balachandran, Kashi R. & Wang, Hsiao-Wen & Li, Shu-Hsing & Wang, Taychang, 2013. "In-house capability and supply chain decisions," Omega, Elsevier, vol. 41(2), pages 473-484.
    10. Awi Federgruen & Ziv Katalan, 1998. "Determining Production Schedules Under Base-Stock Policies in Single Facility Multi-Item Production Systems," Operations Research, INFORMS, vol. 46(6), pages 883-898, December.
    11. Kut C. So & Christopher S. Tang, 1995. "Optimal Operating Policy for a Bottleneck with Random Rework," Management Science, INFORMS, vol. 41(4), pages 620-636, April.
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    Cited by:

    1. Chiu, Singa Wang & Chen, Hui-Cun & Wu, Hua-Yao & Chiu, Yuan-Shyi Peter, 2020. "A hybrid finite production rate system featuring random breakdown and rework," Operations Research Perspectives, Elsevier, vol. 7(C).
    2. S. Ganesan & R. Uthayakumar, 2023. "An EPQ model for a single-machine multiproduct imperfect production system using a hybrid logarithmic barrier method," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1121-1152, September.
    3. Yuan-Shyi Peter Chiu & Victoria Chiu & Tsu-Ming Yeh & Hua-Yao Wu, 2020. "Incorporating Outsourcing Strategy and Quality Assurance into a Multiproduct Manufacturer–Retailer Coordination Replenishing Decision," Mathematics, MDPI, vol. 8(12), pages 1-19, December.

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