ارائه مدل غیر قطعی به منظور هماهنگی در زنجیره تأمین با در نظر گرفتن مکانیزم های تشویقی تخفیف و تأخیر در پرداخت با استفاده از نظریه بازی‌ها
محورهای موضوعی : مدیریت صنعتی
mohammad ferdousmakan
1
,
Roya M.ahari
2
,
Mohammadreza Vasili
3
,
Majid Vaziri Sarashk
4
1 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Department of Industrial Engineering,
Najafabad Branch, Islamic Azad University,
Najafabad Iran
3 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
4 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
کلید واژه: مدل هماهنگ, مدل غیرمتمرکز, مکانیزم های تشویقی, زنجیره تأمین, نظریه بازی,
چکیده مقاله :
عدم قطعیت در زنجیره تأمین به عنوان یک مساله اساسی و مهم در راستای تصمیم گیری مناسب مدیران و طراحان زنجیره تأمین درنظر گرفته می‌شود. در این مقاله، به منظور مقابله با این مهم ، یک زنجیره تأمین سه سطحی تحت تقاضای تصادفی با استفاده از دو مدل غیرمتمرکز و هماهنگ پیشنهاد شده که در آن، افزایش سود هر یک از بازیگران زنجیره (تأمین کننده- تولید کننده- خرده فروش) مد نظر قرار گرفته است. در مدل غیرمتمرکز تحت تقاضای تصادفی مبتنی بر سناریو، خرده فروش و تولید کننده به طور جداگانه با در نظر گرفتن تقاضای حساس به CSR تصادفی مبتنی بر سناریو در مورد مقدار سفارش و سرمایه گذاری تصمیم می‌گیرند. یک قرارداد قیمت عمده فروشی با دو سطح قابل تنظیم برای متقاعد کردن سه نماینده برای ورود به طرح هماهنگی پیشنهاد شده است. با توجه به مقایسه های انجام شده بین نتایج الگوریتم‌ها، مشخص شد که مدل هماهنگ نسبت به الگوریتم دیگر، عملکرد مناسب تری در کاهش هزینه‌های زنجیره و افزایش سود داشته است. به طور خاص می‌توان اذعان نمود که مدل هماهنگ در حدود 144.39 درصد نسبت به مدل غیرمتمرکز بهتر عمل کرده و توانسته سود زنجیره را افزایش دهد.
Uncertainty in the supply chain is considered as a fundamental and important issue in order to make appropriate decisions for supply chain managers and designers. In this article, in order to deal with this issue, a three-level supply chain under random demand is proposed using two decentralized and coordinated models, in which the profit increase of each actor in the chain (supplier-manufacturer-retailer) considered. In the decentralized model under the scenario-based stochastic demand, the retailer and the manufacturer separately decide on the order quantity and investment by considering the scenario-based stochastic CSR-sensitive demand. A wholesale price contract with two adjustable levels is proposed to persuade three levels to enter into a coordination scheme. According to the comparisons made between the results of the algorithms, it was found that the coordinated model performed better than the other algorithm in reducing chain costs and increasing profits. In particular, it can be acknowledged that the coordinated model performed better than the decentralized model by about 144.39% and was able to increase the profit of the chain.
Aljazzar, S. M., Jaber, M. Y., & Moussawi-Haidar, L. (2017). Coordination of a three-level supply chain (supplier–manufacturer–retailer) with permissible delay in payments and price discounts. Applied Mathematical Modelling, 48, 289-302.
Arshinder, K., Kanda, A., & Deshmukh, S. G. (2011). A review on supply chain coordination: coordination mechanisms, managing uncertainty and research directions. Supply chain coordination under uncertainty, 39-82.
Cao, Y., Tao, L., Wu, K., & Wan, G. (2020). Coordinating joint greening efforts in an agri-food supply chain with environmentally sensitive demand. Journal of Cleaner Production, 277, 123883.
Ganji, M., Rabet, R., & Sajadi, S. M. (2021). A new coordinating model for green supply chain and batch delivery scheduling with satisfaction customers. Environment, Development and Sustainability, 1-36.
Heydari, J., Govindan, K., & Basiri, Z. (2021). Balancing price and green quality in presence of consumer environmental awareness: a green supply chain coordination approach. International Journal of Production Research, 59(7), 1957-1975.
Hosseini-Motlagh, S. M., Govindan, K., Nematollahi, M., & Jokar, A. (2019). An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand. International Journal of Production Economics, 214, 175-195.
Khan, S. A. R., Yu, Z., Golpira, H., Sharif, A., & Mardani, A. (2021). A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. Journal of Cleaner Production, 278, 123357.
Li, J., Luo, X., Wang, Q., & Zhou, W. (2021). Supply chain coordination through capacity reservation contract and quantity flexibility contract. Omega, 99, 102195.
Malekian, Y. Rasti-Barzoki, M. (2019). A game theoretic approach to coordinate price promotion and advertising policies with reference price effects in a two-echelon supply chain. International Journal of Production Economics, (218), 72-82.
Sarada, Y., & Sangeetha, S. (2022). Coordinating a reverse supply chain with price and warranty dependent random demand under collection uncertainties. Operational Research, 22(4), 4119-4158.
Sarmah, S. P., Acharya, D., & Goyal, S. K. (2006). Buyer vendor coordination models in supply chain management. European journal of operational research, 175(1),1-15.
Sodhi, M. S., & Tang, C. S. (2021). Supply chain management for extreme conditions: research opportunities. Journal of Supply Chain Management, 57(1), 7-16.
Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products. Journal of cleaner production, 207, 163-181.
Toktaş-Palut, P. (2021). An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns. Journal of Cleaner Production, 279, 123735.
Vosooghidizaji, M., Taghipour, A., & Canel-Depitre, B. (2020). Supply chain coordination under information asymmetry: a review. International Journal of Production Research, 58(6), 1805-1834.
Xiao, D., Zhou, Y. W., Zhong, Y., & Xie, W. (2019). Optimal cooperative advertising and ordering policies for a two-echelon supply chain. Computers & Industrial Engineering, 127, 511-519.
Xie, L., Ma, J., & Goh, M. (2021). Supply chain coordination in the presence of uncertain yield and demand. International Journal of Production Research, 59(14), 4342-4358.
Yan, B., Chen, X., Cai, C., & Guan, S. (2020). Supply chain coordination of fresh agricultural products based on consumer behavior. Computers & Operations Research, 123, 105038.
Zhao, S., Zhang, J., & Cheng, T. C. E. (2020). Coordinating supply chains with uncertain production cost by incomplete contracts. International Journal of Production Research, 1-25.
Zhu, B., Wen, B., Ji, S., & Qiu, R. (2020). Coordinating a dual-channel supply chain with conditional value-at-risk under uncertainties of yield and demand. Computers & Industrial Engineering, 139, 106181.
_||_Aljazzar, S. M., Jaber, M. Y., & Moussawi-Haidar, L. (2017). Coordination of a three-level supply chain (supplier–manufacturer–retailer) with permissible delay in payments and price discounts. Applied Mathematical Modelling, 48, 289-302.
Arshinder, K., Kanda, A., & Deshmukh, S. G. (2011). A review on supply chain coordination: coordination mechanisms, managing uncertainty and research directions. Supply chain coordination under uncertainty, 39-82.
Cao, Y., Tao, L., Wu, K., & Wan, G. (2020). Coordinating joint greening efforts in an agri-food supply chain with environmentally sensitive demand. Journal of Cleaner Production, 277, 123883.
Ganji, M., Rabet, R., & Sajadi, S. M. (2021). A new coordinating model for green supply chain and batch delivery scheduling with satisfaction customers. Environment, Development and Sustainability, 1-36.
Heydari, J., Govindan, K., & Basiri, Z. (2021). Balancing price and green quality in presence of consumer environmental awareness: a green supply chain coordination approach. International Journal of Production Research, 59(7), 1957-1975.
Hosseini-Motlagh, S. M., Govindan, K., Nematollahi, M., & Jokar, A. (2019). An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand. International Journal of Production Economics, 214, 175-195.
Khan, S. A. R., Yu, Z., Golpira, H., Sharif, A., & Mardani, A. (2021). A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. Journal of Cleaner Production, 278, 123357.
Li, J., Luo, X., Wang, Q., & Zhou, W. (2021). Supply chain coordination through capacity reservation contract and quantity flexibility contract. Omega, 99, 102195.
Malekian, Y. Rasti-Barzoki, M. (2019). A game theoretic approach to coordinate price promotion and advertising policies with reference price effects in a two-echelon supply chain. International Journal of Production Economics, (218), 72-82.
Sarada, Y., & Sangeetha, S. (2022). Coordinating a reverse supply chain with price and warranty dependent random demand under collection uncertainties. Operational Research, 22(4), 4119-4158.
Sarmah, S. P., Acharya, D., & Goyal, S. K. (2006). Buyer vendor coordination models in supply chain management. European journal of operational research, 175(1),1-15.
Sodhi, M. S., & Tang, C. S. (2021). Supply chain management for extreme conditions: research opportunities. Journal of Supply Chain Management, 57(1), 7-16.
Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products. Journal of cleaner production, 207, 163-181.
Toktaş-Palut, P. (2021). An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns. Journal of Cleaner Production, 279, 123735.
Vosooghidizaji, M., Taghipour, A., & Canel-Depitre, B. (2020). Supply chain coordination under information asymmetry: a review. International Journal of Production Research, 58(6), 1805-1834.
Xiao, D., Zhou, Y. W., Zhong, Y., & Xie, W. (2019). Optimal cooperative advertising and ordering policies for a two-echelon supply chain. Computers & Industrial Engineering, 127, 511-519.
Xie, L., Ma, J., & Goh, M. (2021). Supply chain coordination in the presence of uncertain yield and demand. International Journal of Production Research, 59(14), 4342-4358.
Yan, B., Chen, X., Cai, C., & Guan, S. (2020). Supply chain coordination of fresh agricultural products based on consumer behavior. Computers & Operations Research, 123, 105038.
Zhao, S., Zhang, J., & Cheng, T. C. E. (2020). Coordinating supply chains with uncertain production cost by incomplete contracts. International Journal of Production Research, 1-25.
Zhu, B., Wen, B., Ji, S., & Qiu, R. (2020). Coordinating a dual-channel supply chain with conditional value-at-risk under uncertainties of yield and demand. Computers & Industrial Engineering, 139, 106181.