Stackelberg models in a two-level supply chain with imperfect quality items and allowable shortage

Document Type : Article

Authors

1 Apaji Institute of Mathematics and Applied Computer Technology, Banasthali University, Rajasthan, 304022, India

2 Department of Computer Science Engineering, Amity School of Engineering and Technology, Bijwasan, New Delhi, India

Abstract

Application of an absolute supply chain model does not invalidate the possibility of few defective items in a supplied lot, therefore it becomes essential to conduct an inspection process for segregating the defective items, subsequently such segregated items are sold at discounted price. Shortages mainly occur with sudden demand or erratic production capacity, and player’s decisions are influenced by it. In this paper, the shortage is considered as a seller’s decision variable and demand is receptive to selling price and marketing expenditure of the buyer. Player’s interaction will be reviewed and determined as non-cooperative Stackelberg game. Further, a supply chain model is endured to substantiate the interaction and democracy among buyer and seller in the supply chain and is pitched by non-cooperative game theoretical approaches. The Stackelberg game approach is used in the non-cooperative method where one player acts as leader and another as follower. Hereafter, unanimous numerical examples along with sensitivity analysis are exhibited to compare amidst two different models with and without shortages to demonstrate the significance of the paper.

Keywords


References:
1. Juttner, U., Christopher, M., and Baker, S. "Demand chain management-integrating marketing and supply chain management", Ind. Mark. Manag., 36(3), pp. 377-392 (2007).
2. Chen, M.S., Chang, H.J., Huang, C.W., et al. "Channel coordination and transaction cost: A gametheoretic analysis", Ind. Mark. Manag., 35(2), pp. 178-190 (2006).
3. Yang, S.L., and Zhou, Y.W. "Two-echelon supply chain models: Considering duopolistic retailers' different competitive behaviors", Int. J. Prod. Econ., 103(1), pp. 104-116 (2006).
4. Dai, Y., Chao, X., Fang, S.C., and Nuttle, H.L. "Pricing in revenue management for multiple firms competing for customers", Int. J. Prod. Econ., 98(1), pp. 1-16 (2005).
5. Chiang, W.C., Fitzsimmons, J., Huang, Z., et al. "A game-theoretic approach to quantity discount problems", Deci. Sci., 25(1), pp. 153-168 (1994).
6. Sarmah, S.P., Acharya, D., and Goyal, S.K. "Buyer vendor coordination models in supply chain management", Eur. J. Oper. Res., 175(1), pp. 1-15 (2006).
7. Weng, Z.K. "Channel coordination and quantity discounts", Manag. Sci., 41(9), pp. 1509-1522 (2007).
8. Shekarian, E. "A review of factors affecting closed-loop supply chain models", J. Clean. Prod., 253, p. 119823 (2020).
9. Chan, C.K. and Kingsman, B.G. "Coordination in a single-vendor multi-buyer supply chain by synchronizing delivery and production cycles", Transp. Res. E: Log. Transp. Rev., 43(2), pp. 90-111 (2007).
10. Dai, T. and Qi, X. "An acquisition policy for a multisupplier system with a finite-time horizon", Comput. Oper. Res., 34(9), pp. 2758-2773 (2007).
11. Van den Heuvel, W., Borm, P., and Hamers, H. "Economic lot-sizing games", Eur. J. Oper. Res., 176(2), pp. 1117-1130 (2007).
12. Sucky, E. "Inventory management in supply chains: A bargaining problem", Int. J. Prod. Econ., 93, pp. 253- 262 (2005).
13. Sucky, E. "A bargaining model with asymmetric information for a single supplier-single buyer problem", Eur. J. Oper. Res., 171(2), pp. 516-535 (2006).
14. Gautam, P. and Khanna, A. "An imperfect production inventory model with setup cost reduction and carbon emission for an integrated supply chain", Uncertain Supply Chain Manag., 6(3), pp. 271-286 (2018).
15. Lee, W.J. "Determining order quantity and selling price by geometric programming: optimal solution, bounds, and sensitivity", Decis. Sci., 24(1), pp. 76- 87 (1993).
16. Abad, P.L. "Supplier pricing and lot sizing when demand is price sensitive", Eur. J. Oper. Res., 78(3), pp. 334-354 (1994).
17. Kim, D. and Lee, W.J. "Optimal coordination strategies for production and marketing decisions", Oper. Res. Lett., 22(1), pp. 41-47 (1998).
18. Jung, H. and Klein, C.M. "Optimal inventory policies for an economic order quantity model with decreasing cost functions", Eur. J. Oper. Res., 165(1), pp. 108- 126 (2005).
19. Abad, P.L. and Jaggi, C.K. "A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive", Int. J. Prod. Econ., 83(2), pp. 115-122 (2003).
20. Sadjadi, S.J., Oroujee, M., and Aryanezhad, M.B. "Optimal production and marketing planning", Comput. Optim. Appl., 30(2), pp. 195-203 (2005).
21. Lee, W.J. and Kim, D. "Optimal and heuristic decision strategies for integrated production and marketing planning", Decis. Sci., 24(6), pp. 1203-1214 (1993).
22. Esmaeili, M., Aryanezhad, M.B., and Zeephongsekul, P. "A game theory approach in seller-buyer supply chain", Eur. J. Oper. Res., 195(2), pp. 442-448 (2009).
23. Esmaeili, M. and Zeephongsekul, P. "Seller-buyer models of supply chain management with an asymmetric information structure", Int. J. Prod. Econ., 123(1), pp. 146-154 (2010).
24. Silbermayr, L. "A review of non-cooperative newsvendor games with horizontal inventory interactions", Omega, 92, p. 102148 (2020).
25. Schwaller, R.L. "EOQ under inspection costs", Prod. Inventory Manag. J., 29(3), p. 22 (1988).
26. Rosenblatt, M.J. and Lee, H.L. "Economic production cycles with imperfect production processes", IIE Trans., 18(1), pp. 48-55 (1986).
27. Salameh, M.K. and Jaber, M.Y. "Economic production quantity model for items with imperfect quality", Int. J. Prod. Econ., 64(1-3), pp. 59-64 (2000).
28. Maddah, B. and Jaber, M.Y. "Economic order quantity for items with imperfect quality: revisited", Int. J. Prod. Econ., 112(2), pp. 808-815 (2008).
29. Ross, S.M., Stochastic Processes, Second Edn., Wiley, New York (1996).
30. Wee, H.M., Yu, J., and Chen, M.C. "Optimal inventory model for items with imperfect quality and shortage backordering", Omega, 35(1), pp. 7-11 (2007).
31. Eroglu, A. and Ozdemir, G. "An economic order quantity model with defective items and shortages", Int. J. Prod. Econ., 106(2), pp. 544-549 (2007).
32. Sarkar, B. "An EOQ model with delay in payments and stock dependent demand in the presence of imperfect production", App. Math. Comput., 218(17), pp. 8295- 8308 (2012).
33. Sarkar, B. and Moon, I. "An EPQ model with inflation in an imperfect production system", App. Math. Comput., 217(13), pp. 6159-6167 (2011).
34. Roy, M.D., Sana, S.S., and Chaudhuri, K. "An economic order quantity model of imperfect quality items with partial backlogging", Int. J. Sys. Sci., 42(8), pp. 1409-1419 (2011).
35. Cheikhrouhou, N., Sarkar, B., Ganguly, B., et al. "Optimization of sample size and order size in an inventory model with quality inspection and return of defective items", Ann. Oper. Res., 271, pp. 445-467 (2018).
36. Sarkar, B., Cardenas-Barron, L.E., Sarkar, M., et al. "An economic production quantity model with random defective rate, rework process and backorders for a single stage production system", J. Manuf. Syst., 33(3), pp. 423-435 (2014).
37. Tiwari, S., Cardenas-Barron, L.E., Khanna, A., et al. "Impact of trade credit and inflation on retailer's ordering policies for non-instantaneous deteriorating items in a two-warehouse environment", Int. J. Prod. Econ., 176, pp. 154-169 (2016).
38. Jaggi, C.K., Goel, S.K., and Mittal, M. "Credit financing in economic ordering policies for defective items with allowable shortages", App. Math. Comput., 219(10), pp. 5268-5282 (2013).
39. Khanna, A., Mittal, M., Gautam, P., et al. "Credit financing for deteriorating imperfect quality items with allowable shortages", Decis. Sci. Lett., 5(1), pp. 45-60 (2016).
40. Khanna, A., Gautam, P., and Jaggi, C.K. "Coordinating vendor-buyer decisions for imperfect quality items considering trade credit and fully backlogged shortages", AIP Conf. Proc., 1715(1), p. 020065 (2016).
41. Kishore, A., Gautam, P., Khanna, A., et al. "Investigating the effect of learning in set-up cost for imperfect production systems by utilizing two-way inspection plan for rework under screening constraints", Sci. Iran., 27(6), pp. 3265-3288 (2019).
42. Khanna, A., Gautam, P., Sarkar, B., et al. "Integrated vendor-buyer strategies for imperfect production systems with maintenance and warranty policy", RAIROOper. Res., 54(2), pp. 435-450 (2020).
43. Jaggi, C.K., Cardenas-Barron, L.E., Tiwari, S., et al. "Two-warehouse inventory model for deteriorating items with imperfect quality under the conditions of permissible delay in payments", Sci. Iran., 24(1), pp. 390-412 (2017).
44. Mittal, M., Khanna, A., and Jaggi, C.K. "Retailer's ordering policy for deteriorating imperfect quality items when demand and price are time-dependent under inflationary conditions and permissible delay in payments", Int. J. Process. Manag., 10(4), pp. 461-494 (2017).
45. Esmaeili, M. "A new approach in determining lot size in supply chain using game theory", In Intelligent Mathematics II: Applied Mathematics and Approximation Theory, Springer Int. Pub., pp. 215-231 (2016).
46. Yadav, R., Pareek, S., and Mittal, M. "Supply chain model for imperfect quality items with trade credit financing: a game theoretical approach", Rev. Inve. Ope., 39(2), pp. 265-277 (2018).
47. Sarkar, B., Saren, S., Sarkar, M., et al. "A Stackelberg game approach in an integrated inventory model with carbon-emission and setup cost reduction", Sustainability, 8(12), p. 1244 (2016).
48. Lu, C.J., Yang, C.T., and Yen, H.F. "Stackelberg game approach for sustainable production-inventory model with collaborative investment in technology for reducing carbon emissions", J. Clean. Prod., 270, p. 121963 (2020).
49. Alaei, S. and Setak, M. "Supply chain coordination via a two-way cooperative advertising contract considering competing retailers", Sci. Iran., 23(5), pp. 23-30 (2016).
50. Jaggi, C.K., Gupta, M., Kausar, A., et al. "Inventory and credit decisions for deteriorating items with displayed stock dependent demand in two-echelon supply chain using Stackelberg and Nash equilibrium solution", Ann. Oper. Res., 274, pp. 309-329 (2019).
51. Yadav, R., Pareek, S., and Mittal, M. "Supply chain models with imperfect quality items when end demand is sensitive to  price and marketing expenditure.", RAIRO-Oper. Res., 52(3), pp. 725-742 (2018).
52. Gautam, P., Kishore, A., Khanna, A., et al. "Strategic defect management for a sustainable green supply chain", J. Clean. Prod., 233, pp. 226-241 (2019).
53. Zhang, X., Zeephongsekul, P., and Esmaeili, M. "Seller-buyer supply chain games where shortage are permitted", J. Manag. Strat., 3(4), pp. 1-14 (2012).
54. Zhang, X. and Zeephongsekul, P. "Asymmetric supply chain models implementable with a mechanism design", App. Math. Model., 40(23-24), pp. 10719-10739 (2016).
55. Johnson, L.A. and Montgomery D.C. "Production planning-dynamic models", In Operations Research in Production Planning, Scheduling, and Inventory Control, pp. 187-297, John Wiley & Sons, Inc. New York (1974)
56. Sadigh, A.N., Karimi, B., and Farahani, R.Z. "A game theoretic approach for two echelon supply chains with continuous depletion", Int. J. Manag. Sci. Eng. Manag., 6(6), pp. 408-412 (2011).