Fa
  • Ph.D. (2008)

    Systems Simulation and Modeling

    Industrial Engineering and Management Systems, Central Florida, Orlando, USA

  • M.Sc. (2001)

    Economics Systems Engineering

    Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

  • B.Sc. (1998)

    Systems Communication

    Electronics Engineering, University of Tehran, Tehran, Iran

  • Supply Chain and Logistics Systems
  • Multi-objective Optimization
  • Multiple Criteria Decision Analysis
  • Evolutionary Algorithms

    Contact

    Curriculum Vitae (CV)

    A generalized fuzzy Multiple-Layer NDEA: An application to performance-based budgeting

    Mohamad Reza Amini, Adel Azar, Hamidreza Eskandari, Peter F Wanke
    Journal PaperApplied Soft Computing , Volume 100 , 2021 March 1, {Pages 106984 }

    Abstract

    Network data envelopment analysis (NDEA) is capable of considering operations and interdependence of a system’s component processes to measure efficiencies. There are numerous performance evaluation applications in which some indicators have hierarchical structures with a considerable number of sub-indicators. This problem of ignoring the hierarchical structure of indicators weakens the discrimination power of NDEA models and may result in inaccurate efficiency scores. In this paper we propose a generalized fuzzy Multiple-Layer NDEA (GFML-NDEA) model and GFML-NDEA-based composite indicators (GFML-NDEA-CI) to incorporate the hierarchical structures of indicators in the ambit of the particular two-stage NDEA models. To demonstrate the usefu

    An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem

    Masood Fathi, Amir Nourmohammadi, Amos HC Ng, Anna Syberfeldt, Hamidreza Eskandari
    Journal PaperEngineering computations , 2019 January , {Pages }

    Abstract

    Purpose–This study aims to propose an efficient optimization algorithm to solve the assembly line balancing problem (ALBP). The ALBP arises in high-volume, lean production systems when decision makers aim to design an efficient assembly line while satisfying a set of constraints.Design/methodology/approach–An improved genetic algorithm (IGA) is proposed in this study to deal with ALBP in order to optimize the number of stations and the workload smoothness.Findings–To evaluate the performance of the IGA, it is used to solve a set of well-known benchmark problems and a real-life problem faced by an automobile manufacturer. The solutions obtained are compared against two existing algorithms in the literature and the basic genetic algorit

    A multi-objective modelling approach to assess the impact of maintenance scheduling on equipment procurement methods

    Ali Sayyah, Reza Baradaran Kazemzadeh, Mohammad Mehdi Sepehri, Hamidreza Eskandari
    Journal PaperInternational Journal of Industrial and Systems Engineering , Volume 31 , Issue 2, 2019 January , {Pages 184-208 }

    Abstract

    In this research, a new multi-objective optimisation model is developed from equipment user's point of view who is seeking to select from among the buy/lease/upgrade decisions and maintenance schedule options when the equipment performance criteria and total cost are in consideration. The proposed model determines the possible non-dominated physical asset management (AM) strategies by interconnecting procurement parameters, maintenance scheduling variables, and equipment's working historical data. Total operational cost, the equipment reliability and unavailability are the objectives of the model which is solved using NSGA-II. Each of the achieved strategies consists of a procurement method (buy/lease/upgrade) and a maintenance strategy (PM

    Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines

    Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi, Amos HC Ng
    Journal PaperInternational Journal of Production Research , 2019 December 14, {Pages 19-Jan }

    Abstract

    Decentralised in-house logistics areas, known as supermarkets, are widely used in the manufacturing industry for parts feeding to assembly lines. In contrary to the literature and inspired by observation in a real case, this study relaxes the assumption of using identical transport vehicles when deciding on the supermarkets’ location by considering the availability of different vehicles. In this regard, this study deals with the integrated supermarket location and transport vehicles selection problems (SLTVSP). A mixed-integer programming (MIP) model of the problem is developed. Due to the complexity of the problem, a hybrid genetic algorithm (GA) with variable neighborhood search (GA-VNS) is also proposed to address large-sized problems.

    Design of stochastic assembly lines considering line balancing and part feeding with supermarkets

    Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi
    Journal PaperEngineering Optimization , 2018 March 10, {Pages 21-Jan }

    Abstract

    This article aims to address the assembly line balancing problem (ALBP) and supermarket location problem (SLP) as two long-term interrelated decision problems considering the stochastic nature of the task times and demands. These problems arise in real-world assembly lines during the strategic decision-making phase of configuring new assembly lines from both line balancing and part-feeding (PF) aspects. A hierarchical mathematical programming model is developed, in which the first level resolves the stochastic ALBP by minimizing the workstation numbers and the second level deals with the stochastic SLP while optimizing the PF shipment, inventory and installation costs. The results of case data from an automotive parts manufacturer and a set

    An optimization model for material supply scheduling at mixed-model assembly lines

    Masood Fathi, Anna Syberfeldt, Morteza Ghobakhloo, Hamidreza Eskandari
    Journal PaperProcedia CIRP , Volume 72 , 2018 December 31, {Pages 1258-1263 }

    Abstract

    This study is motivated by a real case study and addresses the material supply problem at assembly lines. The aim of the study is to optimally schedule the delivery of raw material at assembly lines while using the minimum number of vehicles. To cope with the problem an original mixed integer linear programming model has been proposed based on the assumptions and constraints observed in the case study. The validity of the model has been examined by solving several real cases and analysing different scenarios. The results of the study show the efficiency and effectiveness of the model.

    Network Design for Allied Supply Chains under Uncertain Conditions: A Possibilistic Programming Approach

    H Fallah, H Eskandari, MS Pishvaee
    Journal PaperInternational Journal of Fuzzy Systems , Volume 20 , Issue 6, 2018 August 1, {Pages 1857-1871 }

    Abstract

    The complex relationships between firms in today’s competitive business world affect supply chain (SC) structures so that managers have to consider SC versus SC relations instead of firm versus firm ones. In the corporate or multi-business companies, it is possible to share a number of resources between different SCs to achieve synergy and reduce costs. This paper addresses the strategic–tactical SC planning decisions (i.e., SC network design and master planning) in an uncertain environment for allied SCs belong to a single corporate. First, a fuzzy mixed-integer mathematical programming model that considers the imprecise nature of critical parameters such as cost coefficients, capacity levels, market demands is developed

    An integrated model for cost-oriented assembly line balancing and parts feeding with supermarkets

    Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi, Mehdi Ranjbar Bourani
    Journal PaperProcedia CIRP , Volume 72 , Issue 1, 2018 January 1, {Pages 381-385 }

    Abstract

    This paper aims to deal with assembly line design from both line balancing and parts feeding (PF) aspects as two-interrelated decision problems while supermarkets are used. These problems arise in the real-world assembly lines (ALs) where decision makers are planning to simultaneously determine the optimal number of stations and the optimal number of supermarkets so that the total installation costs of ALs including line balancing and PF costs are minimized. To this purpose an integrated mathematical model is proposed and its performance is tested through solving a number of benchmark problems and a real case taken from industry.

    A mathematical model for supermarket location problem with stochastic station demands

    Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi, Mohammad Aghdasi
    Journal PaperProcedia CIRP , Volume 72 , Issue 1, 2018 January 1, {Pages 444-449 }

    Abstract

    This paper aims to investigate the effect of station demands variations on supermarket location problem (SLP). This problem arises in the realworld assembly line part feeding (PF) context where supermarkets are used as the intermediate storage areas for stations. To this purpose a stochastic SLP model is developed to optimize the total cost of PF in terms of shipment, inventory and installation costs. The computational results over a real case as well as different test instances verify that the station demands variation has an effect on the SLP solutions.

    Application of universal neutral reactor in shunt compensated transmission lines: feasibility study

    Peyman Jafarian, Hamid Eskandari, Majid Sanaye-Pasand
    Journal PaperIET Generation, Transmission & Distribution , Volume 12 , Issue 9, 2018 February 9, {Pages 2181-2189 }

    Abstract

    Single-phase neutral reactors are used in shunt compensated transmission lines (TLs) to accelerate the extinction of the secondary arc through suppression of the arc current. Application of similar shunt reactors with the same capacities is prevalent in the transmission systems. Using the traditional method, however, for each TL, a specially designed neutral reactor is needed that could be in some cases extremely large and practically infeasible. This study investigates the feasibility of application of a properly designed neutral reactor, which is independent of the line length. This solution only depends on the ratio of positive- and zero-sequence capacitances of the line as well as the shunt reactor inductance. Accordingly, for all TLs a

    INVESTIGATION OF ANTI-WEAR EFFECT OF MAGNETIC IRON OXIDE NANOPARTICLES INMULTI-GRADE ENGINE OIL COMPARED TO CONVENTIONAL ENGINE OIL

    NAEINI F GHORBANI, HR ESKANDARI, D EBRAHIMI
    Journal Paper , Volume 12 , Issue 100454, 2018 January 1, {Pages 71-82 }

    Abstract

    In this study, the performance of anti-wear in engine oil which contain nanomaterialadditive has been compared and evaluated to conventional engine oil, by using laboratory tests. Forthis purpose, magnetic iron oxide nanoparticles (Fe3O4) as a nanomaterial additive were selectedto use in Iranol Racing engine oil, SAE 10W40. At first the stability of the nano-fluid, obtainedby the nanoparticles, was confirmed by using UV and zeta potential devices. The iron oxidenanoparticles were characterized by scanning tunneling microscopy (STM), energy dispersiveX-ray spectroscopy (EDS), and Fourier transform infrared spectroscopy (FTIR). The nanoparticleshave a diameter in the range of 8-13 nm. Size distribution of nanoparticles by dynamic lightscatter

    Simulation based optimization of haulage system of an open-pit mine: Meta modeling approach

    Milad Abolghasemian, Hadi Darabi
    Journal PaperOrganizational Resources Management Researchs , Volume 8 , Issue 2, 2018 September 10, {Pages 17-Jan }

    Abstract

    This open-access journal is published under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License which permits Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material) under the Attribution-NonCommercial terms.

    A Bi-Level Programming Model for Closed-Loop Supply Chain Network Design with Competition between two chains in Uncertain Environment: A Benders Decomp...

    HAMED FALLAH, HAMIDREZA ESKANDARI, SH ZEGORDI, S KAMAL CHAHARSOOGHI
    Journal Paper , Volume 15 , Issue 490030, 2017 January 1, {Pages 201-215 }

    Abstract

    In this paper the closed-loop supply chain network design problem is modeled and solved in a competitive and uncertain environment. The competition between two supply chains is on the price of products in forward channel and the price of returns (incentives) on the reverse channel. Demand is price sensitive and the amount of returned products is also linearly dependent on the incentives. Fuzzy set theory is used to cope with uncertainty. The proposed bi-level model is proved to be concave then we turn it to a single level model which is also proved to be a concave one. Afterwards, the single level model is solved using the Benders Decomposition approach. Finally, computational results are presented based on data inspired from real case. Res

    Decreasing the crane working time in retrieving the containers from a bay

    E Azari, H Eskandari, A Nourmohammadi
    Journal PaperScientia Iranica. Transaction E, Industrial Engineering , Volume 24 , Issue 1, 2017 February 1, {Pages 309 }

    Abstract

    Given the initial layout of a container terminal with a bay, the container retrieval problem aims at obtaining a movement sequence for the crane to retrieve all the containers arranged in a pre-defined order. In this study, we develop a computationally efficient heuristic, called constant summation (CSUM), to minimize the total working time of crane, required to retrieve all the containers from a given bay. Numerical results show that CSUM is very promising in dealing with the container retrieval problems and outperforms the best known approaches recently presented in the literature in terms of the crane's working time.

    A Bi-Level Programming Model for Closed-Loop Supply Chain Network Design with Competition between two chains in Uncertain Environment: A Benders Decomposition Solution

    HAMED FALLAH, HAMIDREZA ESKANDARI, SH ZEGORDI, S KAMAL CHAHARSOOGHI
    Journal Paper , Volume 15 , Issue 490030, 2017 January 1, {Pages 201-215 }

    Abstract

    In this paper the closed-loop supply chain network design problem is modeled and solved in a competitive and uncertain environment. The competition between two supply chains is on the price of products in forward channel and the price of returns (incentives) on the reverse channel. Demand is price sensitive and the amount of returned products is also linearly dependent on the incentives. Fuzzy set theory is used to cope with uncertainty. The proposed bi-level model is proved to be concave then we turn it to a single level model which is also proved to be a concave one. Afterwards, the single level model is solved using the Benders Decomposition approach. Finally, computational results are presented based on data inspired from real case. Res

    An integrated MCDM approach to evaluate public transportation systems in Tehran

    M Nassereddine, H Eskandari
    Journal PaperTransportation Research Part A: Policy and Practice , Volume 106 , 2017 December 31, {Pages 427-439 }

    Abstract

    Public transportation is one of the most important systems in transportation, especially in big and crowded cities. As a result, evaluation of public transportation systems is a strategic decision-making problem for both private and public sections. In this paper, the problem of public transportation passengers in Tehran is addressed and their satisfaction levels are assessed by using passenger satisfaction survey. An integrated MCDM approach is proposed for evaluation of public transportation systems based on Delphi method, group analytic hierarchy process (GAHP) and preference ranking organization method for enrichment of evaluations (PROMETHEE). The proposed model provides more reliable and realistic results and introduces directions for

    Multi-Objective Operating Room Scheduling Using Simulation-based Optimization

    HAMIDREZA Eskandari, MOHAMMAD Bahrami
    Journal PaperJournal of Industrial Engineering , Volume 51 , Issue 1, 2017 January 1, {Pages 13-Jan }

    Abstract

    As the main source of income and expenses of hospitals, operating rooms (ORs) are the engines of hospitals' economics and they have a significant impact on public health. Many papers concerned regarding OR planning and scheduling problems, but they have not considerably applied the simulation-based optimization approach to solve the problems. In OR scheduling problems, there are a number of ORs and some surgeons with different specialties and each surgeon has a waiting list of some patients that each surgery should be planned and scheduled on the days when relevant surgeons are available. In this study, we consider two objectives:(1) minimizing the costs of overtime staffing and ORs‟ idle time, and (2) minimizing the number of waiting day

    A SIMULATION MODEL TO ANALYZE AN INVENNTORY SYSTEM FOR DETERIORATING ITEMS WITH SERVICE LEVEL CONSTRAINT.

    Mohammadmahdi Alizadeh, Hamidreza Eskandari, Seyed Mehdi Sajadifar
    Journal PaperInternational Journal of Industrial Engineering , Volume 24 , Issue 6, 2017 November 1, {Pages }

    Abstract

    In this paper, an inventory system for continuous decaying items with stochastic lead time and Poisson demand is assumed. Since the products are deteriorating and demand is stochastic, it is possible to deliver less than customers' demand to them. Thus, a constraint is introduced which guarantees a specific service level. Shortages are allowed, and all the unsatisfied demands are backlogged. Moreover, replenishment is one for one. Our objective is to minimize the expected long-run total cost of the inventory system. Since the stochastic lead time and service level constraint make the analytical model extremely complicated, simulation modeling approach is applied. The simulation model is validated by statistical hypothesis test for the deter

    Assembly line design considering line balancing and part feeding

    Amir Nourmohammadi, Hamidreza Eskandari
    Journal PaperAssembly Automation , Volume 37 , Issue 1, 2017 February 6, {Pages 135-143 }

    Abstract

    This paper shows that the assembly line configurations are optimized from both assembly line balancing problem and supermarket location problem considerations in terms of the number of stations and line efficiency, as well as supermarket transportation and installation costs.

    Effect of interphase magnetic coupling of shunt reactor on transmission-line open-phase overvoltages and neutral reactor optimisation

    Hamid Eskandari, Peyman Jafarian
    Journal PaperIET Generation, Transmission & Distribution , Volume 11 , Issue 4, 2017 March 9, {Pages 1004-1011 }

    Abstract

    This study thoroughly studies overvoltages appearing on the isolated phase (s) of shunt reactor compensated transmission-lines when remaining phases are left energised. The voltage that appears on the isolated phase would settle to a steady-state component induced from the energised phases. This endures until all other phases are disconnected or the isolated phase is re-energised. Reactors with different zero- and positive-sequence reactances are less common but not rare. Taking this point into account, a general model is introduced for three-phase reactors involving those with interphase magnetic coupling. Accordingly, a rigorous analytical formulation is developed to prevent open-phase damaging overvoltages. As proposed, this is achieved

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    • (Nominee for the INFORMS Optimization Society Prize for Young Researchers (2006
    • (Faculty of Engineering Best Teaching Award, Tarbiat Modares University (2010
    • (Merit Fellowship Award Recipient, University of Central Florida (2002
    • Member of the Board of Directors in Iran Logistics and Supply Chain Scientific Society
    • Research Scientist in artificial intelligence at Red Lambda Inc. Orlando, FL
    • Project Manager or Team leader is some Research Project at TMU

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