In this paper, we consider a two-period closed-loop supply chain which is comprised of a single manufacturer and a single retailer for trading a single product. At the retailer, the demand in the first period depends on the selling price, product quality and refund price, whereas in the second period, it depends on the selling price and the product quality. The retailer sets the selling prices with variable markups on the wholesale prices of the manufacturer and offers a return policy (immediate return and used product return) limited to the first period only. The immediate return is dependent on the refund price and the product quality, and the amount of returned used items is a fraction of the first period’s demand. The retailer sends the returned items to the manufacturer who reproduces/repairs those items and sells in the second period. We assume that the manufacturer acts as the Stackelberg leader and the retailer as the follower. We study the impacts of return policy, product quality and pricing strategy on the optimal decisions under two decision strategies (I and II). In the decision strategy I, both the players optimize their total profits over the entire selling season, whereas in the decision strategy II, they optimize each period’s profit sequentially. With the help of a numerical example we explore that the decision strategy I gives better result than the decision strategy II in terms of all decision variables except the product quality. We also investigate the effects of key model-parameters on the optimal decisions.
Accepté le :
DOI : 10.1051/ro/2017061
Mots-clés : Closed-loop supply chain, retailer variable markup, two-period model, remanufacturing, return policy, product quality, pricing strategy
@article{RO_2019__53_2_609_0,
author = {Giri, B.C. and Mondal, C. and Maiti, T.},
title = {Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {609--626},
publisher = {EDP-Sciences},
volume = {53},
number = {2},
year = {2019},
doi = {10.1051/ro/2017061},
zbl = {1423.90009},
language = {en},
url = {http://archive.numdam.org/articles/10.1051/ro/2017061/}
}
TY - JOUR AU - Giri, B.C. AU - Mondal, C. AU - Maiti, T. TI - Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2019 SP - 609 EP - 626 VL - 53 IS - 2 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2017061/ DO - 10.1051/ro/2017061 LA - en ID - RO_2019__53_2_609_0 ER -
%0 Journal Article %A Giri, B.C. %A Mondal, C. %A Maiti, T. %T Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup %J RAIRO - Operations Research - Recherche Opérationnelle %D 2019 %P 609-626 %V 53 %N 2 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2017061/ %R 10.1051/ro/2017061 %G en %F RO_2019__53_2_609_0
Giri, B.C.; Mondal, C.; Maiti, T. Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup. RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 2, pp. 609-626. doi : 10.1051/ro/2017061. http://archive.numdam.org/articles/10.1051/ro/2017061/
[1] , and , Strategic inventories in vertical contracts. Manag. Sci. 54 (2008) 1792–1804. | Zbl
[2] , and , A production/remanufacturing inventory model with price and quality dependant return rate. Comput. Ind. Eng. 58 (2010) 352–362.
[3] and , Optimal price skimming by a monopolist facing rational consumers. Manag. Sci. 36 (1990) 555–567. | Zbl
[4] , and , Quality improvement incentives and product recall cost sharing contracts. Manag. Sci. 55 (2009) 1122–1138. | Zbl
[5] , Minor adjustments, such as a simple return policy, can increase e- tail sales. Info World 23 (2001) 78.
[6] and , The evolution of closed-loop supply chain research. Oper. Res. 57 (2009) 10–18. | Zbl
[7] , and , Dynamic procurement, quantity discounts, and supply chain efficiency. Prod. Oper. Manag. 17 (2008) 543–550.
[8] , , and , A characterisation of logistics networks for product. Omega 28 (2000) 653–666.
[9] and , The effect of external competition on recovery strategies. Prod. Oper. Manag. 15 (2006) 351–368.
[10] , and , A closed-loop logistics model for remanufacturing. J. Oper. Res. Soc. 50 (1999) 497–508. | Zbl
[11] , and , Operations and Supply Chain Management. 12th ed. McGraw-Hill/Irwin, New York (2008).
[12] , , and , Time value of commercial product returns. Manag. Sci. 52 (2006) 1200–1214. | Zbl
[13] , and , Price decision analysis based on for reverse supply chain game theory. Syst. Eng.-theory. Prac. 25 (2005) 20–25.
[14] and , Price decision analysis for closed-loop supply chain based on game theory. J. Syst. Eng. 23 (2008) 111–115.
[15] and , No pain, no gain: a critical review of the literature on signaling unobservable quality. J. Market. 64 (2000) 66–79.
[16] , and , Strategic inventory in capacitated supply chain procurement. Manager Dec. Econ. 29 (2008) 23–36.
[17] , and , An analysis of decentralized collection and processing of end-of-life products. J. Oper. Manag. 25 (2007) 1161–1183.
[18] , and , A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling. Appl. Math. Model 34 (2010) 655–670. | MR | Zbl
[19] and , Intertemporal price discrimination and sales strategy under incomplete information. RAND. J. Econ. 16 (1985) 424–430.
[20] , and , Examining relationships between the return policy, product quality, and pricing strategy in online direct selling. Int. J. Prod. Econ. 144 (2013) 451–460.
[21] , and , A multi-period ordering and clearance pricing model considering the competition between new and out-of-season products. Ann Oper. Res. 242 (2016) 207–221. | MR | Zbl
[22] and , The Newsboy Problem with Resalable Returns: A Single Period Model and Case Study. Eur. J. Oper. Res. 169 (2006) 81–96. | MR | Zbl
[23] and , A dynamic model for optimal design quality and return policies. Eur. J. Oper. Res. 180 (2007) 1144–1154. | Zbl
[24] and , Reverse logistics in e-business: optimal price and return policy. Int. J. Phys. Dist. Logist Manag. 34 (2004) 70–89.
[25] and , Two-way product recovery in a closed-loop supply chain with variable markup under price and quality dependent demand. Int. J. Prod. Econ. 183 (2017) 259–272.
[26] and , A closed loop supply chain under retail price and product quality dependent demand. J. Manuf. Syst. 37 (2015) 624–637.
[27] , and , Optimal prices and trade-in rebates for durable, remanufacturable products. Manuf. Ser. Oper. Manag. 7 (2005) 208–228.
[28] , and , Closed-loop supply chain models with product remanufacturing. Manag. Sci. 50 (2004) 239–252. | Zbl
[29] , and , A multi-echelon reverse logistics network design for product recoverya case of truck tire remanufacturing. Int. J. Adv. Manuf. Technol 49 (2010) 1223–1234.
[30] , and , Optimal production planning for a multi-product closed loop system with uncertain demand and return. Comput. Oper. Res. 38 (2011) 641–650. | MR | Zbl
[31] , Intertemporal price discrimination. Quarterly. J. Econ. 93 (1979) 355–371. | Zbl
[32] and , Extended revenue forecasting within a service industry. Int. J. Prod. Econ. 141 (2012) 505–518.
[33] , and , The price decision model for the system of supply chain and reverse supply chain. Chinese J. Manag. Sci. 14 (2006) 40–45.
[34] , and , Manufacturer-remanufacturing vs supplier-remanufacturing in a closed-loop supply chain. Int. J. Prod. Econ. 176 (2016) 2128.
[35] , Product quality and return policy in a supply chain under risk aversion of a supplier. Int. J. Prod. Econ. 154 (2014) 146–155.
[36] and , Coordination of joint pricing-production decisions in a supply chain. IIE Tran. 34 (2002) 701–715.
[37] , and , A Lagrangian relaxation based approach for the capacitated lot sizing problem in closed-loop supply chain. Int. J. Prod. Econ. 140 (2012) 249–255.
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