Çok Seviyeli Rekabetçi Kapalı Döngü Tedarik Zinciri Ağ Tasarımı: Karşılaştırmalı Bir Analiz

Yıl 2024, Cilt: 27 Sayı: 1, 237 - 253, 29.02.2024

Belkız Torğul , Turan Paksoy

https://doi.org/10.2339/politeknik.1005387

Cited By: 2

Öz

Kısıtlı doğal kaynaklar ve bunların bilinçsizce tüketilmesi, son yıllarda hammadde yerine atık malzemenin işlenme oranının artmasına yol açmış ve endüstriyel ortamı daha rekabetçi hale getirerek, Tedarik Zinciri Yönetiminin (TZY) dinamiklerini değiştirmiştir. Kullanım ömrü sonu ürün sayısının artması ve bunlarla ilgili çevresel kaygılar, aynı zamanda müşteri baskılarına cevap verebilmek adına lojistiğin tersine çevrilmesine büyük özen gösterilerek Kapalı Döngü Tedarik Zinciri (KDTZ) tasarımı ve optimizasyonu üzerine ilgi artmıştır. KDTZ, geniş bir literatüre sahiptir ve bu çerçevede tedarik zinciri maliyetlerini optimize etmek için pek çok model geliştirilmiştir. Literatürün çoğu tekil tedarik zinciri ile ilgilidir ve mevcut rakip tedarik zincirlerini görmezden gelir. Ancak, günümüzün rekabetçi pazarlarında, tedarik zincirleri birkaç rekabetçi şirket tarafından birbirine entegre şeklinde oluşturulmakta ve daha fazla pazar payı elde etmek için birlikte rekabet ederek çalışmaktadır. Böyle bir ortamda, tedarik zincirleri içinde ve arasında farklı rekabet biçimleri vardır. Bu bağlamda, makale ürün geri kazanımı için bir takım teşviklerle kullanılmış ürünleri iade etme isteğini artırarak sürdürülebilir tüketimi iyileştirmeye çalışan iki üretici, bir toplama&geri dönüşüm merkezi ve müşterilerden oluşan çok seviyeli rekabetçi KDTZ yönetiminde dağıtım ağlarının tasarımı ve optimizasyonu problemini ele almaktadır. KDTZ yönetiminde farklı amaçlara sahip karar vericiler için uzlaşık çözüme ulaşmak için dört farklı Etkileşimli Bulanık Programlama (EBP) yaklaşımı kullanılmış ve sonuçlar analiz edilmiştir.  

Anahtar Kelimeler

Çok-seviyeli programlama, Rekabetçi kapalı döngü tedarik zinciri., etkileşimli bulanık programlama, geri dönen ürün yönetimi, karma tamsayılı doğrusal olmayan programlama, rekabetçi kapalı döngü tedarik zinciri

Multi-Level Competitive Closed Loop Supply Chain Network Design: A Comparative Analysis

Öz

Limited natural resources and unconscious consumption have led to a substantial increase in the rate of processing waste material instead of raw materials in recent years and changed the dynamics of Supply Chain Management (SCM) by making the industrial environment more competitive. The interest in Closed Loop Supply Chain (CLSC) design and optimization is increased with great care being taken to reverse logistics in order to respond to customer pressures as well as environmental concerns associated with the increasing number of end-of-life products. CLSC has extensive literature and many models have been developed to optimize supply chain costs. Most of the literature deals with single supply chains and ignores existing competing supply chains. However, in today's competitive markets, supply chains are integrated with each other by several competitive companies and work together to gain more market share. In such an environment, there are different forms of competition within and between supply chains. In this context, the paper addresses the problem of design and optimization of distribution networks in multi-level competitive CLSC management consisting of two producers, a collection & recycling center and customers trying to improve sustainable consumption by increasing the willingness to return used products with some incentives for product recovery. In order to reach a consensus solution for decision makers who have a different purpose in CLSC management, four different Interactive Fuzzy Programming (IFP) approaches are used and the results are analyzed.

Anahtar Kelimeler

Competitive closed loop supply chain optimization, interactive fuzzy programming, mixed integer nonlinear programming, multi-level programming, returned product management

Kaynakça

• [1] Tamer, E., KOÇTEPE, S. and CÜREBAL, A., "Hedef programlama yöntemi ile Akaryakıt istasyonları tanıtımı için Personel çizelgeleme problemi", Politeknik Dergisi: 1-1, (2021).
• [2] Farahani, R. Z., Rezapour, S., Drezner, T. and Fallah, S., "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications", Omega, 45: 92-118, (2014).
• [3] Yang, L., Zhang, Q. and Ji, J., "Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation", International Journal of Production Economics, 191: 286-297, (2017).
• [4] Farahani, R. Z., Rezapour, S., Drezner, T., Esfahani, A. M. and Amiri-Aref, M., "Locating and capacity planning for retailers of a new supply chain to compete on the plane", Journal of the Operational Research Society, 66(7): 1182-1205, (2015).
• [5] Seyedhosseini, S. M., Fahimi, K. and Makui, A., "Decentralized supply chain network design: monopoly, duopoly and oligopoly competitions under uncertainty", Journal of Industrial Engineering International, 14(4): 677-704, (2018).
• [6] Caldentey, R. and Wein, L. M., "Analysis of a decentralized production-inventory system", Manufacturing & Service Operations Management, 5(1): 1-17, (2003).
• [7] Seyedhosseini, S. M., Hosseini-Motlagh, S.-M., Johari, M. and Jazinaninejad, M., "Social price-sensitivity of demand for competitive supply chain coordination", Computers & Industrial Engineering, 135: 1103-1126, (2019).
• [8] Cachon, G. P., "Stock wars: inventory competition in a two-echelon supply chain with multiple retailers", Operations Research, 49(5): 658-674, (2001).
• [9] Nagurney, A., Dong, J. and Zhang, D., "A supply chain network equilibrium model", Transportation Research Part E: Logistics and Transportation Review, 38(5): 281-303, (2002).
• [10] Rau, H., Wu, M.-Y. and Wee, H.-M., "Integrated inventory model for deteriorating items under a multi-echelon supply chain environment", International Journal of Production Economics, 86(2): 155- 168, (2003).
• [11] Nagurney, A., "Supply chain network design under profit maximization and oligopolistic competition", Transportation Research Part E: Logistics and Transportation Review, 46(3): 281-294, (2010).
• [12] Azarmehr, M., Rezapour, S. and Tavakkoli-Moghaddam, R., "Sourcing and pricing strategies for two retailers in a decentralized supply chain system under supply disruption", Management Science Letters, 2(1): 43-54, (2012).
• [13] Rezapour, S., Hassani, A. and Farahani, R. Z., "Concurrent design of product family and supply chain network considering quality and price", Transportation Research Part E: Logistics and Transportation Review, 81: 18-35, (2015).
• [14] Heydari, J., Govindan, K. and Jafari, A., "Reverse and closed loop supply chain coordination by considering government role", Transportation Research Part D: Transport and Environment, 52: 379- 398, (2017).
• [15] Rezapour, S., Farahani, R. Z. and Pourakbar, M., "Resilient supply chain network design under competition: a case study", European Journal of operational research, 259(3): 1017-1035, (2017).
• [16] Ghavamifar, A., Makui, A. and Taleizadeh, A. A., "Designing a resilient competitive supply chain network under disruption risks: A real-world application", Transportation Research Part E: Logistics and Transportation Review, 115: 87-109, (2018).
• [17] Rezaei, S. and Maihami, R., "Optimizing the sustainable decisions in a multi-echelon closed-loop supply chain of the manufacturing/remanufacturing products with a competitive environment", Environment, Development and Sustainability: 1-27, (2019).
• [18] Setak, M., Feizizadeh, F., Tikani, H. and Ardakani, E. S., "A bi-level stochastic optimization model for reliable supply chain in competitive environments: Hybridizing exact method and genetic algorithm", Applied Mathematical Modelling, 75: 310-332, (2019).
• [19] Jian, J., Zhang, Y., Jiang, L. and Su, J., "Coordination of supply chains with competing manufacturers considering fairness concerns", Complexity, 2020, (2020).
• [20] Rezapour, S. and Farahani, R. Z., "Strategic design of competing centralized supply chain networks for markets with deterministic demands", Advances in Engineering Software, 41(5): 810-822, (2010).
• [21] Rezapour, S., Zanjirani Farahani, R. and Drezner, T., "Strategic design of competing supply chain networks for inelastic demand", Journal of the Operational Research Society, 62(10): 1784-1795, (2011).
• [22] Rezapour, S., Farahani, R. Z., Ghodsipour, S. H. and Abdollahzadeh, S., "Strategic design of competing supply chain networks with foresight", Advances in Engineering Software, 42(4): 130-141, (2011).
• [23] Rezapour, S. and Farahani, R. Z., "Supply chain network design under oligopolistic price and service level competition with foresight", Computers & Industrial Engineering, 72: 129-142, (2014).
• [24] Rezapour, S., Farahani, R. Z., Dullaert, W. and De Borger, B., "Designing a new supply chain for competition against an existing supply chain", Transportation Research Part E: Logistics and Transportation Review, 67: 124-140, (2014).
• [25] Rezapour, S., Farahani, R. Z., Zhang, D. and Mohammaddust, F., "Strategic design of a competing supply chain network for markets with deterministic demands", IMA Journal of Management Mathematics, 27(2): 109-141, (2016).
• [26] Saghaeeian, A. and Ramezanian, R., "An efficient hybrid genetic algorithm for multi-product competitive supply chain network design with price-dependent demand", Applied Soft Computing, 71: 872-893, (2018).
• [27] Zimmermann, H.-J., "Fuzzy programming and linear programming with several objective functions", Fuzzy Sets and Systems, 1(1): 45-55, (1978).
• [28] Selim, H. and Ozkarahan, I., "A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach", The International Journal of Advanced Manufacturing Technology, 36(3): 401-418, (2008).
• [29] Torabi, S. A. and Hassini, E., "An interactive possibilistic programming approach for multiple objective supply chain master planning", Fuzzy Sets and Systems, 159(2): 193-214, (2008).
• [30] Sakawa, M. and Nishizaki, I., "Interactive fuzzy programming for decentralized two-level linear programming problems", Fuzzy Sets and Systems, 125(3): 301-315, (2002).
• [31] Behera, S. K. and Nayak, J. R., "Solution of multi-objective mathematical programming problems in fuzzy approach", International Journal on Computer Science and Engineering, 3(12): 3790, (2011).
• [32] Kumar, M., Vrat, P. and Shankar, R., "A fuzzy programming approach for vendor selection problem in a supply chain", International Journal of Production Economics, 101(2): 273-285, (2006).
• [33] Shaw, K., Shankar, R., Yadav, S. S. and Thakur, L. S., "Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain", Expert Systems with Applications, 39(9): 8182-8192, (2012).
• [34] Kumar, D., Rahman, Z. and Chan, F. T. S., "A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: A case study", International Journal of Computer Integrated Manufacturing, 30(6): 535-551, (2017).