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Pricing and ordering decisions of two competing supply chains with different composite policies: a Stackelberg game-theoretic approach

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  • Ata Allah Taleizadeh
  • Mahsa Noori-daryan
  • Kannan Govindan

Abstract

In today’s global highly competitive markets, competition happens among supply chains instead of companies, as the members of supply chains. So, the partners of the chains seek to apply efficient coordinating strategies like discount, return, refund, buyback, or the other coordinating policies to abate the operation costs of the chains and subsequently increase market shares. Hence, because of the importance and application of these strategies in the current non-exclusive markets, in this study, we introduce different composite coordinating strategies to enhance the coordination of the supply chains. Here, we consider two competing supply chains where both chains launch the same product under different brands to the market by applying different composite coordinating strategies. Each supply chain comprises one manufacturer and a group of non-competing retailers where the manufacturer receives raw materials from an outside supplier and transforms them into a finished product; then, the products are sold to the retailers to satisfy the demands of market. In the first chain, a composite (QFF) policy, which is the combination of quantity and freight discount, as well as free shipping quantity policies, are considered between upstream and downstream members while in the second one, different composite polices are considered between upstream and downstream members such that the supplier offers a composite policy, as the first chain, to the manufacturer and the manufacturer proposes a composite (QPR) policy, which is the combination of quantity discount and partial-refund customer return policies, to the retailers. The main objective of the paper is to determine the optimal selling prices and the order quantities of the manufacturer and the retailers in each chain in presence of different composite coordinating strategies. A Stackelberg game-theoretic approach is employed between the members of each chain where the manufacturer is a follower and the retailers are leaders. The concavity of profit functions is proved. Finally, the applicability of the models is justified by presented numerical examples. Moreover, the effects of these strategies on the decisions of the chains’ partners are examined.

Suggested Citation

  • Ata Allah Taleizadeh & Mahsa Noori-daryan & Kannan Govindan, 2016. "Pricing and ordering decisions of two competing supply chains with different composite policies: a Stackelberg game-theoretic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2807-2836, May.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:9:p:2807-2836
    DOI: 10.1080/00207543.2016.1154621
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    1. Yu, Yugang & Huang, George Q., 2010. "Nash game model for optimizing market strategies, configuration of platform products in a Vendor Managed Inventory (VMI) supply chain for a product family," European Journal of Operational Research, Elsevier, vol. 206(2), pages 361-373, October.
    2. Liu, Jian & Mantin, Benny & Wang, Haiyan, 2014. "Supply chain coordination with customer returns and refund-dependent demand," International Journal of Production Economics, Elsevier, vol. 148(C), pages 81-89.
    3. Wei, Yihua & Hu, Qiying & Xu, Chen, 2013. "Ordering, pricing and allocation in a service supply chain," International Journal of Production Economics, Elsevier, vol. 144(2), pages 590-598.
    4. Øksendal, Bernt & Sandal, Leif & Ubøe, Jan, 2013. "Stochastic Stackelberg equilibria with applications to time-dependent newsvendor models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1284-1299.
    5. Hsieh, Chung-Chi & Wu, Cheng-Han & Huang, Ya-Jing, 2008. "Ordering and pricing decisions in a two-echelon supply chain with asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 190(2), pages 509-525, October.
    6. Atamer, Büşra & Bakal, İsmail S. & Bayındır, Z. Pelin, 2013. "Optimal pricing and production decisions in utilizing reusable containers," International Journal of Production Economics, Elsevier, vol. 143(2), pages 222-232.
    7. Hsieh, Chung-Chi & Wu, Cheng-Han, 2008. "Capacity allocation, ordering, and pricing decisions in a supply chain with demand and supply uncertainties," European Journal of Operational Research, Elsevier, vol. 184(2), pages 667-684, January.
    8. Pal, Brojeswar & Sana, Shib Sankar & Chaudhuri, Kripasindhu, 2012. "Multi-item EOQ model while demand is sales price and price break sensitive," Economic Modelling, Elsevier, vol. 29(6), pages 2283-2288.
    9. Zhou, Yong-Wu, 2007. "A comparison of different quantity discount pricing policies in a two-echelon channel with stochastic and asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 181(2), pages 686-703, September.
    10. Hua, Guowei & Wang, Shouyang & Cheng, T.C.E., 2012. "Optimal order lot sizing and pricing with free shipping," European Journal of Operational Research, Elsevier, vol. 218(2), pages 435-441.
    11. Hua, Guowei & Wang, Shouyang & Cheng, T.C.E., 2012. "Optimal pricing and order quantity for the newsvendor problem with free shipping," International Journal of Production Economics, Elsevier, vol. 135(1), pages 162-169.
    12. Esmaeili, M. & Aryanezhad, Mir-Bahador & Zeephongsekul, P., 2009. "A game theory approach in seller-buyer supply chain," European Journal of Operational Research, Elsevier, vol. 195(2), pages 442-448, June.
    13. Fattahi, Mohammad & Mahootchi, Masoud & Govindan, Kannan & Moattar Husseini, Seyed Mohammad, 2015. "Dynamic supply chain network design with capacity planning and multi-period pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 169-202.
    14. Hsieh, Chung-Chi & Chang, Yih-Long & Wu, Cheng-Han, 2014. "Competitive pricing and ordering decisions in a multiple-channel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 156-165.
    15. Jorgensen, Steffen & Kort, Peter M., 2002. "Optimal pricing and inventory policies: Centralized and decentralized decision making," European Journal of Operational Research, Elsevier, vol. 138(3), pages 578-600, May.
    16. Jungkyu Kim & Yushin Hong & Taebok Kim, 2011. "Pricing and ordering policies for price-dependent demand in a supply chain of a single retailer and a single manufacturer," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(1), pages 81-89.
    17. Chen, Jing & Grewal, Ravneet, 2013. "Competing in a supply chain via full-refund and no-refund customer returns policies," International Journal of Production Economics, Elsevier, vol. 146(1), pages 246-258.
    18. Yalabik, Baris & Petruzzi, Nicholas C. & Chhajed, Dilip, 2005. "An integrated product returns model with logistics and marketing coordination," European Journal of Operational Research, Elsevier, vol. 161(1), pages 162-182, February.
    19. Chen, Jing & Bell, Peter C., 2012. "Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure," International Journal of Production Economics, Elsevier, vol. 136(1), pages 56-66.
    20. Zhu, Stuart X., 2012. "Joint pricing and inventory replenishment decisions with returns and expediting," European Journal of Operational Research, Elsevier, vol. 216(1), pages 105-112.
    21. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    22. Viswanathan, S. & Wang, Qinan, 2003. "Discount pricing decisions in distribution channels with price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 149(3), pages 571-587, September.
    23. Xie, Jinxing & Wei, Jerry C., 2009. "Coordinating advertising and pricing in a manufacturer-retailer channel," European Journal of Operational Research, Elsevier, vol. 197(2), pages 785-791, September.
    24. Taleizadeh, Ata Allah & Noori-daryan, Mahsa & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items," International Journal of Production Economics, Elsevier, vol. 159(C), pages 285-295.
    25. Becerril-Arreola, Rafael & Leng, Mingming & Parlar, Mahmut, 2013. "Online retailers’ promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis," European Journal of Operational Research, Elsevier, vol. 230(2), pages 272-283.
    26. Hsieh, Chung-Chi & Liu, Yu-Te & Wang, Wei-Ming, 2010. "Coordinating ordering and pricing decisions in a two-stage distribution system with price-sensitive demand through short-term discounting," European Journal of Operational Research, Elsevier, vol. 207(1), pages 142-151, November.
    27. Hong, Ki-sung & Lee, Chulung, 2013. "Optimal time-based consolidation policy with price sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 275-284.
    28. Kwon, Kysang & Cheong, Taesu, 2014. "A minimax distribution-free procedure for a newsvendor problem with free shipping," European Journal of Operational Research, Elsevier, vol. 232(1), pages 234-240.
    29. Yue, Xiaohang & Raghunathan, Srinivasan, 2007. "The impacts of the full returns policy on a supply chain with information asymmetry," European Journal of Operational Research, Elsevier, vol. 180(2), pages 630-647, July.
    30. 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.
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    Cited by:

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    3. Taleizadeh, Ata Allah & Tafakkori, Keivan & Thaichon, Park, 2021. "Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    4. Qiuyue Li & Hao Wang & Zhenshan Li & Shangwei Yuan, 2022. "A Comparative Study of the Effect of Different Carbon-Reduction Policies on Outsourcing Remanufacturing," IJERPH, MDPI, vol. 19(6), pages 1-22, March.
    5. Marjia Haque & Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 2022. "A combined approach for modeling multi-echelon multi-period decentralized supply chain," Annals of Operations Research, Springer, vol. 315(2), pages 1665-1702, August.
    6. Biswajit Sarkar & Sharmila Saren & Mitali Sarkar & Yong Won Seo, 2016. "A Stackelberg Game Approach in an Integrated Inventory Model with Carbon-Emission and Setup Cost Reduction," Sustainability, MDPI, vol. 8(12), pages 1-23, December.
    7. Ata Allah Taleizadeh & Elham Haji-Sami & Mahsa Noori-daryan, 2020. "A robust optimization model for coordinating pharmaceutical reverse supply chains under return strategies," Annals of Operations Research, Springer, vol. 291(1), pages 875-896, August.
    8. Noori-Daryan, Mahsa & Taleizadeh, Ata Allah & Jolai, Fariborz, 2019. "Analyzing pricing, promised delivery lead time, supplier-selection, and ordering decisions of a multi-national supply chain under uncertain environment," International Journal of Production Economics, Elsevier, vol. 209(C), pages 236-248.
    9. Ata Allah Taleizadeh & Bita Hazarkhani & Ilkyeong Moon, 2020. "Joint pricing and inventory decisions with carbon emission considerations, partial backordering and planned discounts," Annals of Operations Research, Springer, vol. 290(1), pages 95-113, July.
    10. Chen, Zhisong & Su, Shong-Iee Ivan, 2022. "Countervailing effect and mitigation policy: A game-theoretical study in dual international competing photovoltaic supply chains," Renewable Energy, Elsevier, vol. 183(C), pages 160-171.
    11. Alaei, Amir Mohammad & Taleizadeh, Ata Allah & Rabbani, Masoud, 2022. "Marketplace, reseller, or web-store channel: The impact of return policy and cross-channel spillover from marketplace to web-store," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    12. Wu, Chengfeng & Liu, Xin & Li, Annan, 2021. "A loss-averse retailer–supplier supply chain model under trade credit in a supplier-Stackelberg game," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 353-365.
    13. Ata Allah Taleizadeh & Masoumeh Sadat Babaei & Seyed Taghi Akhavan Niaki & Mahsa Noori-daryan, 2020. "Bundle pricing and inventory decisions on complementary products," Operational Research, Springer, vol. 20(2), pages 517-541, June.
    14. Bieniek, Milena, 2021. "The ubiquitous nature of inventory: Vendor Managed Consignment Inventory in adverse market conditions," European Journal of Operational Research, Elsevier, vol. 291(2), pages 411-420.
    15. Xiqiang Xia & Mengya Li & Biao Li & Hao Wang, 2021. "The Impact of Carbon Trade on Outsourcing Remanufacturing," IJERPH, MDPI, vol. 18(20), pages 1-18, October.
    16. Taleizadeh, Ata Allah & Sadeghi, Razieh, 2019. "Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 48-60.
    17. Xujin Pu & Zhiping Song & Guanghua Han, 2018. "Competition among Supply Chains and Governmental Policy: Considering Consumers’ Low-Carbon Preference," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    18. Chen, Zhisong & Su, Shong-Iee Ivan, 2020. "International competition and trade conflict in a dual photovoltaic supply chain system," Renewable Energy, Elsevier, vol. 151(C), pages 816-828.
    19. Biao Li & Yong Geng & Xiqiang Xia & Dan Qiao & Hao Wang, 2021. "Comparatively Analyzing the Impact of Government Subsidy and Carbon Tax Policy on Authorized Remanufacturing," IJERPH, MDPI, vol. 18(16), pages 1-18, August.
    20. Zheng, Qi & Zhou, Li & Fan, Tijun & Ieromonachou, Petros, 2019. "Joint procurement and pricing of fresh produce for multiple retailers with a quantity discount contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 16-36.

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