Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms

Document Type: Research Paper


1 Department of Industrial Engineering and Logistics, Faculty of Engineering, Imam Hossein Comprehensive University, Tehran, Iran

2 Industrial Engineering Group, Imam Hossein University, Tehran, Iran


In this research, a three objective (lean, agile, pivotal values) nonlinear integer programming mathematical model is proposed to optimize general commodities supply chain in this model, all parameters for objective functions and restrictions are assumed to have fixed and known values. Proposed model have three objective functions including: minimizing transportation costs, delivery tardiness and making contracts. Maximizing agility and pivotal values. Intended model designs a lean, agile and value supply chain network. This network consists of Producers, Distributers and Customers that which indexes and criteria values and agility is assumed for producers and distributers. To solve the model, first suitable weights for agility and observance the value for producers and distributers are examined using multi-criteria decision making. These weights and other problem parameters are input data for proposed mathematical model. Proposed mathematical model is solved in a case-study form using GAMS program. Then two multi objective meta heuristic algorithms including genetic algorithm and Frog leaping algorithm using non dominated sorting is proposed and Meta heuristic algorithms and GAMS`s results are Compared to Validate proposed algorithms. Results of two algorithms NSGA-II and NSMOSFLA for comparing criteria`s of multi objective algorithms are Analyzed.


Main Subjects

  1. Bashiri, M., and Khorasani, H. J. (2015). “Multi-Objective Supply Chain Network Design With Agility Elements”, In Master's Thesis, Tehran, Eyvanekey Institute of Higher Education, PP. 1-133. (In Persian)
  2. Omrani, H., and Adabi, F. (2016). “A Multiple Objective Programming Model for Designing of Supply Chain Network with Efficient Manufacturers and Distributers”, Journal of Industrial Engineering, University of Tehran, Vol. 50, No. 2, PP. 261-278.
  3. Nasiri, M. M., and Pourmohammad Zia, N. (2015). “A Hybrid Model for Supplier Selection and Order Allocation in Supply Chain”, Journal of Industrial Engineering, University of Tehran, Vol. 49, No. 1, PP. 117-128.
  4. Amin, S. H., and Zhang, G. (2013). “A Multi-Objective Facility Location Model for Closed-Loop Supply Chain Network Under Uncertain Demand and Return”, Applied Mathematical Modelling, Vol. 37, No. 6, PP. 4165-4176.
  5. Chavez, R, Yu, W., and Jacobs, M. A. (2016). “The Effect of Internal Communication and Employee Satisfaction on Supply Chain Integration”, International Journal of Production Economics Manufacturing System and Design, Vol. 171, PP. 60-70.
  6. Razmi, J., Khaleghinasab, M. M., and Babazadeh R. (2013). “Multi-Period Model of Agile Supply Chain Network in Case of Definite Demand”, National Conference On Industries And Systems, PP. 1-8. (In Persian).
  7. Ramezani, M., Bashiri, M., and Tavakkoli-Moghaddam, R. (2013). “A New Multi-Objective Stochastic Model for a Forward/Reverse Logistic Network Design with Responsiveness and Quality Level”, Applied Mathematical Modelling, Vol. 37, No. 3, PP. 328–344.
  8. Varsei, M., and Polyakovskiy, S. “Sustainable Supply Chain Network Design: A Case of the Wine Industry In Australia”, Omega., 2016.
  9. Allaoui, H. et al. (2018). “Sustainable Agro-Food Supply Chain Design Using Two-Stage Hybrid Multi-Objective Decision-Making Approach”, Computers and Operations Research, Vol. 89, P. 369–384, 2018.
  10. Hajiaghaei-Keshteli, M., and Fathollahi-Fard, A, M. (2018). “Sustainable Closed-Loop Supply Chain Network Design with Discount Supposition”, Neural Computing and Applications, PP. 1-35, 2018.
  11. Samadi, A. et al. (2018). “Heuristic-Based Metaheuristics to Address a Sustainable Supply Chain Network Design Problem”, Journal of Industrial and Production Engineering, Vol. 35, No. 2, PP. 102-117.
  12. Sahebjamnia, N., Fathollahi Fard, A, M., and Hajiaghaei-Keshteli, M. (2018). “Sustainable Tire Closed-Loop Supply Chain Network Design: Hybrid Metaheuristic Algorithms for Large-Scale Networks”, Journal of Cleaner Production, Vol. 196, PP. 273-296.
  13. Tizroo, A, and Azar, A. (2010). “Modeling Agility of Supply Chain - Interpretive Structural Modeling Approach ,Case: Zob Ahan Co”, A Thesis Presented for the Degree Ph.D. of Management – Operation Research, PP. 1-300,July 2010, (In Persian).
  14. Marzoghi, R., Tokrzadeh, J., and Peyravinezhad, Z. (2016). “Developing and Accrediting an Islamic Spiritual Leadership Framework in Organization from the Perspective of Nahj-Ol-Balaghe”, Journal of Nahj-Ol-Balaghe, Vol. 3, No. 12, PP. 43-70. (In Persian)
  15. Amaliah, I., Aspiranti, T., and Purnamasari, P. (2015). “The Impact of the Values of Islamic Religiosity to Islamic Job Satisfaction in Tasikmalaya West Java, Indonesia, Industrial Centre”, Procedia-Social and Behavioral Sciences, Vol. 211, PP. 984-991.
  16. Emamverdi Malek, S., Hassan-Pour, H. A., and Nourang, A. (2015). “Evaluation Model of Lean and Agility Supply Chain for Clothing”, In Master's Thesis, Emam Hossein University, Tehran (In Persian).
  17. Mohsen Notash, M., Zandieh, M., and Dorri Nokorani, B. “Using A Genetic Algorithm Approach for Designing Multi-Objective Supply Chain Network”, Management Research In Iran, Vol. 18, No. 4, PP. 183-203. (In Persian)
  18. Shankar, B. L. et al. (2013). “Location and Allocation Decisions for Multi-Echelon Supply Chain Network–A Multi-Objective Evolutionary Approach”, Expert Systems With Applications, Vol. 40, No. 2, PP. 551-562, 2013.
  19. Sarrafha, K. et al. (2015). “Bi-Objective Integrated Procurement, Production, and Distribution Problem of a Multi-Echelon Supply Chain Network Design: A New Tuned MOEA”, Computers and Operations Research, Vol. 54, PP. 35-51. (In Persian)
  20. Zhang, S. et al. (2016). “Multi-Objective Optimization for Sustainable Supply Chain Network Design Considering Multiple Distribution Channels”, Expert Systems with Applications, Vol. 65, PP. 87-99, 2016.
  21. Chaabane, A., Ramudhin, A., and Paquet, M. (2012). “Design of Sustainable Supply Chains Under the Emission Trading Scheme”, International Journal of Production Economics, Vol. 135, No. 1, PP. 37-49.
  22. Dehghanian, F., and Mansour, S. (2009). “Designing Sustainable Recovery Network of End-of-Life Products Using Genetic Algorithm”, Resources, Conservation and Recycling, Vol. 53, No. 10, PP. 559-570.
  23. Zareian Jahromi, H. et al. “A Robust Multi Objective Optimization Model For Sustainable Closed-Loop Supply Chain Network Design”, Journal of Industrial Engineering Research in Production Systems, Vol. 2, No. 3, PP. 93-111. (In Persian)
  24. Yaghini, M., and Akhavan- Kazemzadeh, M. R. (2016). Metaheuristic Optimization Algorithms, Tehran: Amirkabir University of Technology.
  25. Khosroabadi, H., and Rezaeemanesh, B. “Designing of Ethical Decision Making Model of Managers Based on Nahj-Ol-Balaghe Teachings”, Journal of Nahj-Ol-Balaghe, Vol. 3, No. 11, PP. 1-28. (In Persian)
  26. Dehaghi, M. R., Goodarzi, M., and Arazi, Z. K. “The Effect of Spiritual Values on Employees' Organizational”, Procedia - Social and Behavioral Sciences, P. 159 – 166, 2012.
  27. Jasti, N. V. K., and Kodali, R. (2016). “Development of a Framework for Lean Production System: An Integrative Approach”, Proceedings of the Institution Of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 230, No. 1, PP. 136-156.
  28. Agarwal, A., Shankar, R., and Tiwari, M. (2007). “Modeling Agility of Supply Chain”, Industrial Marketing Management, Vol. 36, No. 4, PP. 443-457.
  29. Sharifi, H., and Ismail, H. (2016). “A Framework for Operational Agility: How Smes Are Evaluating Their Supply Chain Integration”, In Managing in a VUCA World, Springer International Publishing, 2016, PP. 151-168.
  30. Jahanbin, F., and Nemati, M. (2015). “The Criteria and Guidelines of Justice in Nahj-Ol-Balaghe”, Journal of Nahj-Al-Balaghe, Vol. 3, No. 10, PP. 103-122. (In Persian)
  31. Pan, F., and Nagi, R., “Multi-Echelon Supply Chain Network Design in Agile Manufacturing”, Omega, Vol. 41, No. 6, PP. 969-983.
  32. Razmi, J., Seifoory, M., and Pishvaee, S. M. (2011). “A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile”, Journal of Industrial Engineering, University of Tehran, Vol. 45, Special Issue,PP. 127-142. (In Persian)
  33. Jabale, M., and Hassan-Pour, H. A. (2017). “Design A Multi- Objective, Multi-Level Supply Chain Network Based on Agility and Values of the Organizational and Solving it with an Efficient Method”, In Master's Thesis, Tehran, Emam Hossein University, 2017, Pp. 1-250.