• Ph.D. (2014)

    Industrial Engineering - Industrial Engineering

    Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran

  • M.Sc. (2008)

    Industrial Engineering, Socio-Economic Systems Engineering

    Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran

  • B.Sc. (2005)

    Industrial Engineering - Industrial Production

    , Golpayegan College of Engineering - Sharif University of Technology, Golpayegan, Iran

  • Stochastic Programming
  • Robust Optimization
  • Integer Programming
  • Logistics and Supply Chain Management
  • Network Design
  • Discrete Facility Location
  • Transportation Systems
  • Application of Optimization in Industrial Engineering and Other Fields

    Welcome to my personal website. My name is Ehsan Nikbakhsh. I have a PhD in Industrial Engineering from the faculty of Industrial and Systems Engineering at Tarbiat Modares University, Tehran. Currently, I serve as an assistant professor of ISE at the faculty of Industrial and Systems Engineering of Tarbiat Modares University, Tehran. My PhD dissertation was on hub location problems under uncertainty and competition. As part of my PhD studies, I spent nine months in CIRRELT (Montréal, QC) as a research intern working on robust optimization models for hub location problems. My main research interests include facility layout and location, logistics and supply chain management (with a focus on risk, disaster, and environmental issues), project management and planning, exact optimization algorithms for integer programming problems, and optimization under uncertainty using stochastic programming and robust optimization models and techniques. The results of my research have appeared in various outlets, including but not limited to Transportation Research Part B, International Journal of Production Economics, Computers Operations Research, International Journal of Production Research, and Computers Industrial Engineering. In addition to academic research and teaching, Ive been involved as a consultant in multiple research and applied projects for governmental and private sectors during the past decade. These projects have covered many areas of industrial engineering and management, including but not limited to supply chain management, performance management, risk management, as well as business process re-engineering.


    Curriculum Vitae (CV)

    Performance evaluation of an EMS system using queuing theory and location analysis: A case study

    N Majlesinasab, M Maleki, E Nikbakhsh
    Journal Paper , , {Pages }


    Pricing and free periodic maintenance service decisions for an electric-and-fuel automotive supply chain using the total cost of ownership

    Narges Mohammadzadeh, Seyed Hessameddin Zegordi, Ehsan Nikbakhsh
    Journal PaperApplied Energy , Volume 288 , 2021 April 15, {Pages 116471 }


    Although subsidies have had significant impacts on the electric vehicle (EV) market share, many governments have planned to eliminate subsidies. There is a concern that unsubsidized EVs reduce the EV market share, significantly. However, purchasing an EV instead of a fuel vehicle (FV) might impose a lower total cost of ownership (TCO) on customers, depending on their vehicle usage. In this case, supply chains could optimize their decisions considering which vehicle is affordable for each customer class from the view of TCO. This study investigates optimal pricing and free periodic maintenance service (FPMS) decisions in a two-stage electric-and-fuel automotive supply chain, considering TCO to estimate vehicle market shares under customer cl

    Inventory Control of Blood Products in the Hospital Network under Uncertainty

    V Yousefinezhad, E Nikbakhsh
    Journal Paper , , {Pages }


    Field path planning using capacitated arc routing problem

    Amin Khajepour, Majid Sheikhmohammady, Ehsan Nikbakhsh
    Journal PaperComputers and Electronics in Agriculture , Volume 173 , 2020 June 1, {Pages 105401 }


    Duration of Agricultural operations is a crucial issue in fleet management as it directly affects the operation costs. Agricultural fleet usually traverses paths, covering the whole field to complete the operation. The agricultural operations are not necessarily performed efficiently due to the various variables including field shape, presence of obstacles in the field, number of vehicles, and their specifications. In this study, agricultural operations are modeled as a capacitated arc routing problem (CARP). CARP is a combinatorial optimization problem, which determines the harvest paths in a field and finds the best order of traversing. By dividing the paths into two categories of required and non-required, CARP demonstrates a field as a

    A multi-stage stochastic programming approach for supply chain risk mitigation via product substitution

    Seyed Mahdi Ghorashi Khalilabadi, Seyed Hessameddin Zegordi, Ehsan Nikbakhsh
    Journal PaperComputers & Industrial Engineering , 2020 August 30, {Pages 106786 }


    Trends like globalization, shorter product life-cycles, and cost reduction strategies in the global business environment have exposed many supply chains to various risks. Disruptions are one of the supply chain risks that can interrupt product flow, delay customer deliveries, and reduce supply chain revenues considerably. Prior planning for disruptions could greatly alleviate these consequences. A method to cope with disruptions is to use product substitution in the case of a product shortage. In this research, the supply chain of a livestock-drug distribution company in Iran, facing demand disruptions, has been chosen as a case study. For this purpose, a multi-stage stochastic integer programming model is proposed and solved using a custom

    Robust uncapacitated hub location

    Carlos Armando Zetina, Ivan Contreras, Jean-Fran?ois Cordeau, Ehsan Nikbakhsh
    Journal PaperTransportation Research Part B: Methodological , Volume 106 , 2017 December 1, {Pages 393-410 }


    In this paper we present robust counterparts for uncapacitated hub location problems in which the level of conservatism can be controlled by means of a budget of uncertainty. We study three particular cases for which the parameters are subject to interval uncertainty: demand, transportation cost, and both simultaneously. We present mixed integer programming formulations for each of these cases and a branch-and-cut algorithm to solve the latter. We present computational results to evaluate the performance of the proposed formulations when solved with a general purpose solver and study the structure of the solutions to each of the robust counterparts. We also compare the performance between solutions obtained from a commensurable stochastic m

    Multi-objective mathematical model for green supplier selection (case study: supply chain of IRAN KHODRO company)

    Leila Babaee, Masood Rabieh, Ehsan Nikbakhsh, Mahdi Esmaeili
    Journal PaperModern Research in Decision Making , Volume 2 , Issue 2, 2017 July 23, {Pages 51-83 }


    In the past few decades, due to negative environmental and social impacts of companies, there has been more pressure from the government and non-governmental organizations on companies to observe these issues in their operations, including their supply chain operations. To achieve an environment-friendly supply chain, the role of suppliers as the initial point of the supply chain is very crucial. So in addition to traditional criteria for evaluating and selecting suppliers such as price, delivery, and quality, it is essential to use new criteria, that while encompassing environmental issues, are fit to the characteristics of the industry under study. In this study, taking into account a set of economic and environmental criteria, a multi-ob

    Supply chain management 1982–2015: a review

    Nasrin Asgari, Ehsan Nikbakhsh, Alex Hill, Reza Zanjirani Farahani
    Journal PaperIMA Journal of Management Mathematics , Volume 27 , Issue 3, 2016 July 1, {Pages 353-379 }


    Organizations need to better design, manage and improve their supply chains as these become global and more complex. To do this, they need to learn from other organizations and sectors, preempt problems before they occur, and understand the future challenges they may face. Although over 40,000 articles and books have been published on supply chain management since the term was coined in 1982, a clear understanding of the emerging trends, current knowledge gaps and potential areas for future development is only now emerging. Our bibliometric analysis of the existing literature suggests we still need to better understand how to manage security, insourcing, sustainability, competition, risk and disruption, and human behaviour within s

    Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry

    Aliakbar Hasani, Seyed Hessameddin Zegordi, Ehsan Nikbakhsh
    Journal PaperInternational Journal of Production Research , Volume 53 , Issue 5, 2015 March 4, {Pages 1596-1624 }


    Improving performance of global supply chains requires careful consideration of various factors including distance from markets, access to resources, exchange and tax rates, import tariffs, and trade regulations. In this paper, a comprehensive optimization model is proposed to maximise the after-tax profit of a closed-loop global supply chain for medical devices under uncertainty. The uncertainty of the decision-making environment is modelled using the budget of uncertainty concept in interval robust optimization. International financial issues due to the Economic Cooperation Organisation Trade Agreement as well as national regulations including transfer pricing limitations, exchange rates, tax rates, and import tariffs are considered. The

    Variable neighborhood search for the bi-objective post-sales network design problem: A fitness landscape analysis approach

    Majid Eskandarpour, Ehsan Nikbakhsh, Seyed Hessameddin Zegordi
    Journal PaperComputers & Operations Research , Volume 52 , 2014 December 31, {Pages 300-314 }


    Post-sales services are important markets in electronics industry due to their impact on marginal profit, market share, and their ability to retain customers. In this study, designing a multi-product four-layer post-sales reverse logistics network operated by a 3PL is investigated. A bi-objective MILP model is proposed to minimize network design costs as well as total weighted tardiness of returning products to customers. To solve the proposed model, a novel multi-start variable neighborhood search is suggested that incorporates nine neighborhood structures and three new encoding–decoding mechanisms. In particular, a fitness landscape measure is employed to select an effective neighborhood order for the proposed VNS. Extensive computation

    A Memetic Algorithm for Designing a Capacitated Hub Network under Demand Uncertainty and Disruption

    E. Nikbakhsh, S.H. Zegordi
    Journal PaperJournal of Industrial Engineering , Volume 48 , Issue 1, 2014 January , {Pages 109-123 }


    Hub Arc Covering Location Problem under Disruption

    E. Nikbakhsh, S.H. Zegordi
    Journal PaperJournal of Industrial Management Perspective , Volume 4 , Issue 1, 2014 January , {Pages 29-Sep }


    Designing a robust post-sales reverse logistics network

    Ehsan Nikbakhsh, Majid Eskandarpour, Seyed Hessameddin Zegordi
    Journal Paper , Volume 130 , 2013 January , {Pages 313-325 }


    The concept of green supply chain management has attracted many academics and professionals due to various reasons such as governmental regulations, customers’ awareness, and economic benefits of greening supply chains. One of the first and important decisions for greening a supply chain is to design supply chain networks while considering environmental factors. In this study, a multiproduct post-sales reverse logistics network operated by a third party logistics service provider is considered, which consists of collection centers, repair facilities, production plants, and disposal centers. It is assumed that amount of products returns from customers are uncertain parameters varying in intervals with known nominal and shift v

    Hub location problems: A review of models, classification, solution techniques, and applications

    Reza Zanjirani Farahani, Masoud Hekmatfar, Alireza Boloori Arabani, Ehsan Nikbakhsh
    Journal PaperComputers & Industrial Engineering , Volume 64 , Issue 4, 2013 April 30, {Pages 1096-1109 }


    Hub location problem (HLP) is a relatively new extension of classical facility location problems. Hubs are facilities that work as consolidation, connecting, and switching points for flows between stipulated origins and destinations. While there are few review papers on hub location problems, the most recent one (Alumur and Kara, 2008. Network hub location problems: The state of the art. European Journal of Operational Research, 190, 1–21) considers solely studies on network-type hub location models prior to early 2007. Therefore, this paper focuses on reviewing the most recent advances in HLP from 2007 up to now. In this paper, a review of all variants of HLPs (i.e., network, continuous, and discrete HLPs) is provided. In particular, mat

    A Parallel Variable Neighborhood Search for the Multi-Objective Sustainable Post-Sales Network Design Problem

    Majid Eskandarpour, Seyed Hessameddin Zegordi, Ehsan Nikbakhsh
    Journal PaperInternational Journal of Production Economics , Volume 145 , Issue 1, 2013 September , {Pages 117-131 }


    Environmental and sustainability awareness in societies has attracted many academics and professionals from various disciplines to revise their thoughts and philosophies such as supply chain management. In particular, implementation of reverse logistics systems and closed-loop supply chain often results in reduced environmental pollution and costs, as well as increased customer satisfaction. In this study, a multi-objective post-sales network design model considering strategic and tactical decisions is proposed to minimize total fixed and variable costs, total tardiness, and environmental pollution. In addition to common network design decisions, various decisions such as technology and capacity level decisions as well as product selection

    Supply chain risk management

    Ehsan Nikbakhsh
    Journal Paper , 2012 January , {Pages 176-204 }


    During the past two decades, environments surrounding supply chains (SC) have faced many changes, which require SC managers to deal proactively with unknown situations and new risks. Therefore, one of the most important issues in supply chain management is managing uncertainties of a SC and mitigating negative effects of SC risks. In this chapter, an overview of supply chain risk management (SCRM) is given. First, fundamental concepts in SCRM are introduced. Next, sources of SC risks, SCRM and its process, and some robust SC risk mitigation strategies are introduced. Finally, an introduction to several mathematical models for SCRM is given.

    Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty

    Aliakbar Hasani, Seyed Hessameddin Zegordi, Ehsan Nikbakhsh
    Journal PaperInternational Journal of Production Research , Volume 50 , Issue 16, 2012 January , {Pages 4649-4669 }


    In this study, a general comprehensive model is proposed for strategic closed-loop supply chain network design under interval data uncertainty. The proposed model considers various assumptions such as multiple periods, multiple products, and multiple supply chain echelons as well as uncertain demand and purchasing cost. In addition, bill of materials for each product is considered via a new approach in management of forward and reverse flows of products for producing new products and reusing or disassembling returned products. Uncertainty of parameters in the proposed model is handled via an interval robust optimisation technique. The model assumptions are well matched with decision making environments of food and high-tech electronics manu

    Humanitarian logistics planning in disaster relief operations

    Ehsan Nikbakhsh, Reza Zanjirani Farahani
    Journal Paper , 2011 May 13, {Pages 291-332 }


    Although human technological advancements have cured many diseases and solved many problems, it is still widely believed that the capacities of many societies are not enough to cope with the massively destructive effects of natural and human-made disasters. Hence, disasters have always been identified with their huge negative impacts on the humans’ condition, nations’ critical infrastructures, and societies’ planning systems. To be able to cope with effects of a disaster, humans try to prepare themselves by creating and enhancing necessary infrastructures and planning for various relief operations in advance.As much as creating and enhancing infrastructures can mitigate the effects of disasters, humans are still required to devise bet

    E. Nikbakhsh, N. Nahavandi* & SH Zegordi

    Ehsan Nikbakhsh
    Journal PaperInternational Journal of Industrial Engineering , Volume 22 , Issue 3, 2011 November , {Pages 293-302 }


    Majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. However in real-world applications, these assumptions are not well-matched with reality. In this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the captured demand while minimizing the fixed costs of locating new facilities. To make the proposed model optimization simple, the proposed model is linearized using proper modeling techniques. Although goal programming method does not ensure obtaining Pareto-optimal solutions, solving a numerical example demonstrates the possibility of obtaining Pareto-op

    A novel bi-objective multi-product post-sales reverse logistics network design model

    Seyed Hessameddin Zegordi, Majid Eskandarpour, Ehsan Nikbakhsh
    Journal PaperLecture Notes in Engineering and Computer Science , Issue 1, 2011 January , {Pages 716-720 }


    In this study, a 3PL multi-product post-sales reverse logistics network is considered which consists of collection centers, repair facilities, production plants, and disposal centers. A bi-objective mixed integer linear programming model is presented for minimizing network design costs as well as minimizing total weighted tardiness of returning products to collection centers. Various decisions including location of repair facilities, repair equipment allocation, and material flows are considered. At the end, a numerical example demonstrates the success of ε-constraint method in obtaining a list of Pareto-optimal solutions for the proposed model.

    Current Teaching

    • MS.c.

      Analysis and Design of Logistics Systems

    • MS.c.

      Forecasting and Time Series Analysis

    • MS.c.

      Machine Learning

    Teaching History

    • MS.c.

      Optimization Algorithms

    • MS.c.

      Supply Chain Network Design

    • Ph.D.

      Uncertain Programming

    • 2021
      Ahmadi, Behnam
      A two-stage buyback contract coordination mechanism for perishable products in a circular supply chain.
    • 2021
      Aghakhani, Zahra
    • 2021
      Aghayani, Parham
    • 2021
      Tabatabaee vaighan, SeyedReza
    • 2021
      Ebadi Soflou, Abbas
    • 2020
      Mirzaei, Ehsan
      Joint Optimization of Hub and Transportation Service Network Design Considering Resiliency
    • 2021
      Amini rarani, Marzieh
      Data not found
    • Member of the University Steering Committee for the Strategic Change Plan (2016-Present)
    • Executive Manager of the Strategic Change Plan in the Office of Academic Affairs (2016-2019)
    • Deputy Manager of the Central Office of the Strategic Change Plan (2017-Present)



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