A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design

ABSTRACT

In this paper, a multi-objective multi-period sustainable location-allocation supply chain network model will be presented. Different levels of technology for vehicle fleet, which leads to different monetary and environmental costs, and different released CO₂ emission for each potential location of facilities to reach a green supply chain network, were considered. In addition, back order of products, which leads to dissatisfaction of customers, was noted and for different customers, different levels of importance are assumed to consider social impacts. To handle the problem of unpredicted parameters, a novel approach of uncertainty, which is named Hybrid Robust Possibilistic Programming-II (HRPP-II), is used. At last, a case study will be solved by the Improved Augmented ϵ-Constraint method (AUGMECON2) to achieve Pareto solutions, and some sensitivity analysis will be done. New social and environmental considerations in location-allocation supply chain models and using a novel robust approach to overcome the uncertainty of parameters are contributions to the previous models.

KEYWORDS:

• Sustainable SCM
• Hybrid Robust Possibilistic Programming-II
• improved augmented ϵ-constraint method

Additional information

Notes on contributors

Masoud Rabbani

Masoud Rabbani is a Professor of Industrial Engineering in the School of Industrial and Systems Engineering at the University of Tehran. He has published more than 60 papers in international journals, such as European Journal of Operational Research, International Journal of Production Research, and International Journal of Production Economics. His research interests include production-planning, design of inventory management systems, and applied graph theory in industrial planning, and productivity management.

Seyed Ali Akbar Hosseini-Mokhallesun

Seyed Ali Akbar Hosseini-Mokhallesun was born in Yazd, Iran, in 1993. He received the B.E. degree in industrial engineering from the college of engineering, University of Tehran., Iran, in 2016. He is currently M.Sc. student at University of Tehran. His current research interests include mathematical modeling, robust programming and sustainable supply chain management and production planning.

Amir Hossein Ordibazar

Amir Hossein Ordibazar was born in Tehran, Iran, in 1993. He received the B.E. degree in industrial engineering from the college of engineering, University of Tehran, Iran, in 2016. He is currently M.Sc. student at University of Tehran. His current research interests include mathematical modeling, simulation, digital transformation and advanced manufacturing.

Hamed Farrokhi-Asl

Hamed Farrokhi-Asl received his Bachelor of Science degree in Industrial Engineering from Khaje-Nasir University of Technology, Iran, in 2013. He continued his Master’s studies at University of Tehran and graduated in 2014. He published about 100 conference and journal papers from his Master’s research at University of Tehran. Hamed joined as a Research Assistant with the professor Rabbani’s research team where Rabbani is a professor of School of Industrial Engineering at University of Tehran. He initially started working on a new nature-inspired algorithm at Computer Laboratory of Iran, University of Science & Technology. His interests include waste management, green supply chain and optimisation algorithms.