Designing a sustainable-resilient supply chain network with an emphasis on financing and investment decisions using the NSGA-II algorithm
Nowadays, product recovery and waste recycling are receiving more attention in order to reduce environmental pollution and production costs in the form of a closed-loop and sustainable supply chain. Also, designing a supply chain by considering resilience approaches can protect buyers against disruptions such as natural, human or technological disasters. On the other hand, efficient and effective financial supply chain management (FSCM) way is known as one of the main structures in line with the continuity and stability of the chain's performance, and budget restrictions are of great importance considering the issue of scarcity of resources in the economy. This study has presented a multi-objective mixed integer linear programming (MOMILP) model of a single-period, multi-product and multi-level closed-loop supply chain, taking into account the dimensions of sustainability and resilience, emphasizing the balance between the initial budget and the cost of establishing facilities under uncertainty. subsequently, to eliminate the uncertainty of the demand parameters and costs, its robust counterpart was presented based on Pishvaee’s robust possibilistic programming (RPP) model. The augmented Epsilon Constraint method (AEC) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were used to solve and evaluate it.
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Proposing a Human Resource Management Model based on Decent Work
Hadis Sadat Seyrafi, Mohammad Ataee *,
Journal of Psychological Research in Management, Spring 2025 -
Explaining a conceptual model to enhance the value chain of the country's ports and shipping industry using thematic analysis and ISM approaches
*, Aryan Tabrizi
Journal of Strategic Value Chain Management, -
A Model for Inventory Control in Closed-Loop Supply Chain Management considering Multiple Objective PlanningCase: Iran Khodro Cut and Press Shop Company
Abolfazl Sadeghian *, Seyed Mohammadali Khatami Firouzabadi, Laya Olfat, Maghsoud Amiri
Journal of Industrial Management Studies, Autumn 2024 -
Analyzing the Factors Influencing the Implementation of Artificial Intelligence in the Iranian Banking Industry: Findings from a Qualitative Study
Leila Mollaei, Seyyed Mohammadali Khatami Firoozabadi *, Kiamars Fathi Hafshejani, Mahnaz Rabiei
Digital Transformation and Administration Innovation, Spring 2024