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Effect of inspection and rework of probabilistic defective production on two-layer supply chain incorporating deterioration and reliability dependent demand

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  • Sudip Adak

    (National Institute of Technology Puducherry)

  • G. S. Mahapatra

    (National Institute of Technology Puducherry)

Abstract

This paper develops a two-layer supply chain for defective and non-defective types of items produced by manufacturer and retailer. The manufacturer produces items on the condition that the faulty items will return to the manufacturer after inspecting without financial liability of the retailer. The damaged items are identified subsequent of the conducted full screening process and reworked by the retailer. Hence, the retailer sells the non-defective item to the customer. Effect of deterioration estimates to make this research a more realistic one for the manufacturer and retailer. This study discusses the impact of several business strategies such as production rate, unit production cost, idle time costs in a collaborative marketing system, reliability dependent demand, etc., to determine the optimum average profit of the integrated model. The selling price of the retailer, the purchase cost of the manufacturer, and holding cost has the potential to be a significant breakthrough. Numerical and managerial implications are demonstrated along with sensitivity analysis of different parameters for the proposed two-layer supply chain.

Suggested Citation

  • Sudip Adak & G. S. Mahapatra, 2021. "Effect of inspection and rework of probabilistic defective production on two-layer supply chain incorporating deterioration and reliability dependent demand," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 565-578, June.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:3:d:10.1007_s13198-021-01119-6
    DOI: 10.1007/s13198-021-01119-6
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    1. Alexandre Dolgui & Manoj Kumar Tiwari & Yerasani Sinjana & Sri Krishna Kumar & Young-Jun Son, 2018. "Optimising integrated inventory policy for perishable items in a multi-stage supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 902-925, January.
    2. Panda, S. & Modak, N.M. & Basu, M. & Goyal, S.K., 2015. "Channel coordination and profit distribution in a social responsible three-layer supply chain," International Journal of Production Economics, Elsevier, vol. 168(C), pages 224-233.
    3. S.R. Singh & Swati Sharma, 2019. "A partially backlogged supply chain model for deteriorating items under reverse logistics, imperfect production/remanufacturing and inflation," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 33(2), pages 221-255.
    4. Li, Jian & Wang, Shouyang & Cheng, T.C.E., 2010. "Competition and cooperation in a single-retailer two-supplier supply chain with supply disruption," International Journal of Production Economics, Elsevier, vol. 124(1), pages 137-150, March.
    5. 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.
    6. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2018. "Scheduling of recovery actions in the supply chain with resilience analysis considerations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(19), pages 6473-6490, October.
    7. G.S. Mahapatra & Sudip Adak & T.K. Mandal & Shilpi Pal, 2017. "Inventory model for deteriorating items with time and reliability dependent demand and partial backorder," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 29(3), pages 344-359.
    8. Khan, M. & Jaber, M.Y. & Wahab, M.I.M., 2010. "Economic order quantity model for items with imperfect quality with learning in inspection," International Journal of Production Economics, Elsevier, vol. 124(1), pages 87-96, March.
    9. Liao, Jui-Jung & Huang, Kuo-Nan & Chung, Kun-Jen, 2012. "Lot-sizing decisions for deteriorating items with two warehouses under an order-size-dependent trade credit," International Journal of Production Economics, Elsevier, vol. 137(1), pages 102-115.
    10. M. Ganesh Kumar & R. Uthayakumar, 2019. "A two-echelon integrated inventory model under generalized lead time distribution with variable backordering rate," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 552-562, August.
    11. Cannella, Salvatore & Dominguez, Roberto & Ponte, Borja & Framinan, Jose M., 2018. "Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times," International Journal of Production Economics, Elsevier, vol. 204(C), pages 264-277.
    12. Kerkkamp, R.B.O. & van den Heuvel, W. & Wagelmans, A.P.M., 2018. "Two-echelon supply chain coordination under information asymmetry with multiple types," Omega, Elsevier, vol. 76(C), pages 137-159.
    13. Chung, Kun-Jen & Liao, Jui-Jung & Ting, Pin-Shou & Lin, Shy-Der & Srivastava, H.M., 2015. "The algorithm for the optimal cycle time and pricing decisions for an integrated inventory system with order-size dependent trade credit in supply chain management," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 322-333.
    14. AlDurgam, Mohammad & Adegbola, Kehinde & Glock, Christoph H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," International Journal of Production Economics, Elsevier, vol. 191(C), pages 335-350.
    15. AlDurgham, M. & Adegbola, K. & Glock, C. H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87594, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Ghiami, Yousef & Williams, Terry, 2015. "A two-echelon production-inventory model for deteriorating items with multiple buyers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 233-240.
    17. Woo, York Y. & Hsu, Shu-Lu & Wu, Soushan, 2001. "An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction," International Journal of Production Economics, Elsevier, vol. 73(3), pages 203-215, October.
    18. Lee, Sunghee & Kim, Daeki, 2014. "An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 161-170.
    19. Boyaci, Tamer & Gallego, Guillermo, 2002. "Coordinating pricing and inventory replenishment policies for one wholesaler and one or more geographically dispersed retailers," International Journal of Production Economics, Elsevier, vol. 77(2), pages 95-111, May.
    20. Costantino, Nicola & Dotoli, Mariagrazia & Falagario, Marco & Fanti, Maria Pia & Mangini, Agostino Marcello, 2012. "A model for supply management of agile manufacturing supply chains," International Journal of Production Economics, Elsevier, vol. 135(1), pages 451-457.
    21. Ata Allah Taleizadeh & Mahsa Noori-daryan & Reza Tavakkoli-Moghaddam, 2015. "Pricing and ordering decisions in a supply chain with imperfect quality items and inspection under buyback of defective items," International Journal of Production Research, Taylor & Francis Journals, vol. 53(15), pages 4553-4582, August.
    22. Chan, Chi Kin & Wong, Wai Him & Langevin, A. & Lee, Y.C.E., 2017. "An integrated production-inventory model for deteriorating items with consideration of optimal production rate and deterioration during delivery," International Journal of Production Economics, Elsevier, vol. 189(C), pages 1-13.
    23. Anindita Kundu & Partha Guchhait & Goutam Panigrahi & Manoranjan Maiti, 2019. "An EOQ model for deteriorating item with promotional effort and credit linked demand," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 13(3), pages 368-399.
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