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Developing an All-Unit Quantity Discount Model with Complete and Incomplete Information: A Bertrand Competition Framework | ||
Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies) | ||
دوره 16، شماره 2، تیر 2023، صفحه 355-373 اصل مقاله (1.07 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/ijms.2022.319955.674458 | ||
نویسنده | ||
Masume Messi Bidgoli* | ||
Department of Industrial Engineering, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan, Iran | ||
چکیده | ||
There are studies regarding monopolistic all-unit quantity discount but we add the duopoly Bertrand competition under incomplete information with it, which is not treated earlier. Then, a systematic procedure is outlined to compute pay-off functions for the developed game. A real numerical example is given in support of the solution procedure and a sensitivity analysis is carried out to examine the important parameters on the equilibrium quantities. This study provides several interesting insights. For instance, it is approved that if retailers know each other completely or not, under some special conditions, rejecting the offered discount is the strictly dominant strategy adopted by the retailers. By doing sensitivity analysis for a real-world case, it is displayed that for maximizing profit, the company should pay more attention to increasing the demand rather than reducing the costs. It could be seen that a change in the value of all parameters except the fixed ordering cost and the holding cost rate results in changing the discount strategy selected by the retailers. Investigating an incomplete information in comparison with the common knowledge case, it is necessary that retailers obtain more accurate knowledge about their rivals. | ||
کلیدواژهها | ||
all-unit quantity discount؛ Bayesian game؛ Bertrand competition؛ complete and incomplete information؛ inventory control | ||
مراجع | ||
Alfares, H. K., & Ghaithan, A. M. (2016). Inventory and pricing model with price-dependent demand, time-varying holding cost, and quantity discounts. Computers & Industrial Engineering, 94, 170-177.
Bayrak, H., & Bailey, M. D. (2008). Shortest path network interdiction with asymmetric information. Networks, 52(3), 133-140.
Benton, W. C., & Park, S. (1996). A classification of literature on determining the lot size under quantity discounts. European Journal of Operational Research, 92(2), 219-238.
Forghani, K., Mirzazadeh, A., & Rafiee, M. (2013). A price-dependent demand model in the single period inventory system with price adjustment. Journal of Industrial Engineering, 2013.
Li, X., Nukala, S., & Mohebbi, S. (2013). Game theory methodology for optimizing retailers’ pricing and shelf-space allocation decisions on competing substitutable products. The International Journal of Advanced Manufacturing Technology, 68(1), 375-389.
Mahmoodi, A. (2019). Joint pricing and inventory control of duopoly retailers with deteriorating items and linear demand. Computers & Industrial Engineering, 132, 36-46.
Mahmoodi, A. (2020). Stackelberg–Nash equilibrium of pricing and inventory decisions in duopoly supply chains using a nested evolutionary algorithm. Applied Soft Computing, 86, 105922.
Melnikov, S. (2017). Bertrand-Nash Equilibrium in the Retail Duopoly Model under asymmetric costs. International Journal of Engineering, 30(6), 859-866.
Navidi, H., & Bidgoli, M. M. (2011). An all-unit quantity discount model under a Cournot competition with incomplete information. International Journal of Management Science and Engineering Management, 6(5), 393-400.
Saha, S., Nielsen, I. E., & Moon, I. (2021). Strategic inventory and pricing decision for substitutable products. Computers & Industrial Engineering, 160, 107570.
Shah, N. H. (2014). Ordering policy for inventory management when demand is stock-dependent and a temporary price discount is linked to order quantity. Investigación Operacional, 33(3), 233-244.
Shi, J., Zhang, G., & Lai, K. K. (2012). Optimal ordering and pricing policy with supplier quantity discounts and price-dependent stochastic demand. Optimization, 61(2), 151-162.
Xiao, T., & Qi, X. (2008). Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers. Omega, 36(5), 741-753.
Zhang, J. L., Lee, C. Y., & Chen, J. (2009). Inventory control problem with freight cost and stochastic demand. Operations Research Letters, 37(6), 443-446. | ||
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