Designing a Sustainable Logistics Model with a Heterogeneous Collaboration Approach

  • Zahra Hassanzadeh Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
  • Iraj Mahdavi Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
  • Ali Tajdin Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
  • Hamed Fazlollahtabar Department of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran https://orcid.org/0000-0003-3053-4399
Keywords: sustainable logistic model, heterogeneous collaboration, epsilon constraint method, multi-level model

Abstract

This paper aims at designing a sustainable logistics model with a heterogeneous collaboration approach. In this regard, we worked on a logistics system by transmitting raw materials to a factory and then sending various products to consumption centers. Accordingly, three logistics layers of supply, production, and consumption were designed and the parameters of collaboration within and between the logistics layers were evaluated. After that, as novelty of our paper, the interactions of sustainability indicators with the logistics network and their effects on the collaboration were analyzed through productivity. In this paper, we use two objectives includes minimizing the supply chain costs and maximizing the productivity of the collaboration parameter affecting the sustainability indicators at different levels. Finally, the developed mathematical model is solved and validated in GAMS optimization software to analyze the performance of the proposed approach using epsilon constraint method.

Downloads

Download data is not yet available.

References

Akbari-Kasgari, M., Khademi-Zare, H., Fakhrzad, M. B., Hajiaghaei-Keshteli, M., & Honarvar, M. (2022). Designing a resilient and sustainable closed-loop supply chain network in copper industry. Clean Technologies and Environmental Policy, 1-28. DOI:10.1007/s10098-021-02266-x.

Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production, 229, 761-774. DOI:10.1016/j.jclepro.2019.04.367.

Aloui, A., Derrouiche, R., Hamani, N., & Delahoche, L. (2020). Collaboration horizontale durable des reseaux de transport de marchandises: etat de l'art et perspectives. In 13ème Conférence Internationale de Modélisation, Optimisation et Simulation (MOSIM'20).

Aloui, A., Hamani, N., Derrouiche, R., & Delahoche, L. (2022). Assessing the benefits of horizontal collaboration using an integrated planning model for two-echelon energy efficiency-oriented logistics networks design. International Journal of Systems Science: Operations & Logistics, 9(3), 302-323. DOI:10.1080/23302674.2021.1887397.

Anes, V., Abreu, A., Dias, A., & Calado, J. (2022). A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector. Sustainability, 14(7), 4329. DOI:10.3390/su14074329.

Daudi, M., Hauge, J. B., & Thoben, K. D. (2016). Behavioral factors influencing partner trust in logistics collaboration: a review. Logistics Research, 9(1), 1-11. DOI:10.1007/s12159-016-0146-7. DOI: https://doi.org/10.1007/s12159-016-0146-7

David j. Closs, Diane A. Mollenkopf, (2004)"A global supply chain framework ", Industrial Marketing Management 3337-44. DOI: 10.1016/j.indmarman.2003.08.008. DOI: https://doi.org/10.1016/j.indmarman.2003.08.008

Emamian, Y., Kamalabadi, I. N., & Eydi, A. (2021). Developing and solving an integrated model for production routing in sustainable closed-loop supply chain. Journal of Cleaner Production, 302, 126997.

Hassanpour, M., & Pamucar, D. (2019). Evaluation of Iranian household appliance industries using MCDM models. Operational Research in Engineering Sciences: Theory and Applications, 2(3), 1-25. DOI:10.31181/oresta1903001h. DOI: https://doi.org/10.31181/oresta1903001h

Jouida, S. B., Krichen, S., & Klibi, W. (2017). Coalition-formation problem for sourcing contract design in supply networks. European Journal of Operational Research, 257(2), 539-558. DOI: 10.1016/j.ejor.2016.07.040. DOI: https://doi.org/10.1016/j.ejor.2016.07.040

Kassami, S., Zamma, A., & Ben Souda, S. (2022). Designing A Generic Decision-Making Model for Supply Chain Planning in an Uncertain Environment: Viability Mathematical Modeling. International Journal of Industrial Engineering & Production Research, 33(3), 1-17. DOI: 10.22068/ijiepr.33.3.3.

Konstantakopoulos, G. D., Gayialis, S. P., Kechagias, E. P., Papadopoulos, G. A., & Tatsiopoulos, I. P. (2021). An algorithmic approach for sustainable and collaborative logistics: A case study in Greece. International Journal of Information Management Data Insights, 1(1), 100010. DOI: 10.1016/j.jjimei.2021.100010.

Kwon, Ik‐Whan G., and Taewon Suh. "Factors affecting the level of trust and commitment in supply chain relationships." Journal of supply chain management 40.1 (2004): 4-14. DOI: 10.1016/j.jclepro.2021.126997. DOI: https://doi.org/10.1111/j.1745-493X.2004.tb00165.x

Liotta, G., Kaihara, T., & Stecca, G. (2014). Optimization and simulation of collaborative networks for sustainable production and transportation. IEEE Transactions on Industrial Informatics, 12(1), 417-424. DOI: 10.1109/TII.2014.2369351. DOI: https://doi.org/10.1109/TII.2014.2369351

Mancini, S., Gansterer, M., & Hartl, R. F. (2021). The collaborative consistent vehicle routing problem with workload balance. European Journal of Operational Research, 293(3), 955-965. 10.1016/j.ejor.2020.12.064.

Mishra, R., Singh, R. K., & Rana, N. P. (2022). Developing environmental collaboration among supply chain partners for sustainable consumption & production: Insights from an auto sector supply chain. Journal of Cleaner Production, 338, 130619. DOI: 10.1016/j.jclepro.2022.130619.

Muñoz-Villamizar, A., Quintero-Araújo, C. L., Montoya-Torres, J. R., & Faulin, J. (2019). Short-and mid-term evaluation of the use of electric vehicles in urban freight transport collaborative networks: a case study. International Journal of Logistics Research and Applications, 22(3), 229-252. DOI:10.1080/13675567.2018.1513467.

Shafizadeh, R. (2004). Challenges and Strategies of Supply Chain Management, Proceedings of the First Supply Chain Management Conference. Tehran, Iran.

Soysal, M., Bloemhof-Ruwaard, J. M., Haijema, R., & van der Vorst, J. G. (2018). Modeling a green inventory routing problem for perishable products with horizontal collaboration. Computers & Operations Research, 89, 168-182. DOI: 10.1016/j.cor.2016.02.003. DOI: https://doi.org/10.1016/j.cor.2016.02.003

Vanovermeire, C., & Sörensen, K. (2014). Measuring and rewarding flexibility in collaborative distribution, including two-partner coalitions. European Journal of Operational Research, 239(1), 157-165. 10.1016/j.ejor.2014.04.015. DOI: https://doi.org/10.1016/j.ejor.2014.04.015

Vargas, A., Fuster, C., & Corne, D. (2020). Towards sustainable collaborative logistics using specialist planning algorithms and a gain-sharing business model: A UK case study. Sustainability, 12(16), 6627. DOI:10.3390/su12166627.

Zakeri, A., Dehghanian, F., Fahimnia, B., & Sarkis, J. (2015). Carbon pricing versus emissions trading: A supply chain planning perspective. International Journal of Production Economics, 164, 197-205.. DOI:10.1016/j.ijpe.2014.11.012. DOI: https://doi.org/10.1016/j.ijpe.2014.11.012

Zavadskas, E. K., Turskis, Z., Stević, Ž., & Mardani, A. (2020). Modelling procedure for the selection of steel pipes supplier by applying fuzzy AHP method. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 39-53. https://DOI: 10.31181/oresta2003034z. DOI: https://doi.org/10.31181/oresta2003034z

Published
2022-11-22
How to Cite
Hassanzadeh, Z., Mahdavi, I., Tajdin, A., & Fazlollahtabar, H. (2022). Designing a Sustainable Logistics Model with a Heterogeneous Collaboration Approach. Operational Research in Engineering Sciences: Theory and Applications. https://doi.org/10.31181/oresta221122151h
Section
Articles