En
  • دکتری (1373)

    مهندسی صنایع و مدیریت

    صنعتی توکیو، توکیو ، ژاپن

  • کارشناسی‌ارشد (1368)

    مهندسی صنایع و سیستمها

    صنعتی شریف، تهران، ایران

  • کارشناسی (1364)

    مهندسی صنایع

    دانشگاه صنعتی اصفهان، اصفهان، ایران

  • مدیریت زنجیره تأمین (اختلال و ریسک)
  • مدل سازی برنامه ریزی تولید و زمانبندی خطوط تولید
  • مکان یابی و چیدمان
  • بهره‌ وری و كیفیت

    سید حسام الدین ذگردی استاد تمام مهندسی صنایع در دانشکده مهندسی صنایع و سیستمهای دانشگاه تربیت مدرس است. وی مدرک دکترای مهندسی صنایع و مدیریت خود را از دانشگاه صنعتی توکیو، ژاپن در سال 1994 ( 1373) دریافت کرد. ایشان مدارک کارشناسی ارشد مهندسی صنایع و سیستمها از دانشگاه صنعتی شریف و کارشناسی مهندسی صنایع از دانشگاه صنعتی اصفهان را در ایران دریافت کرده است. موضوعات تحقیقاتی مورد علاقه وی شامل برنامه ریزی و زمانبندی تولید، بهینه سازی چند هدفه، روشهای فراابتکاری، مدیریت کیفیت و سیستمهای پشتیانی تصمیم گیری است. مقالات ایشان در مجلات و کنفرانسهای معتبر بین المللی نظیرEJOR، IJPR، CIE، IJPE و نیز مجلات معتبر داخلی نظیر مجله شریف، مجله امیرکبیر و مجله تربیت مدرس به چاپ رسیده است. دکتر ذگردی علاوه بر فعالیتهای آکادمیک، سابقه بیش از 30 سال کار و مشاوره در صنایع کشور را دارد. عمده فعالیتهای مدیریتی و مشاوره ای وی در صنعت دارو سازی و صنعت خودرو بوده است.

    ارتباط

    رزومه

    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 PapersApplied Energy , Volume 288 , 2021 April 15, {Pages 116471 }

    Abstract

    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

    Bi-objective build-to-order supply chain network design under uncertainty and time-dependent demand: An automobile case study

    Mahyar Taheri-Bavil-Oliaei, Seyed Hessameddin Zegordi, Reza Tavakkoli-Moghaddam
    Journal PapersComputers & Industrial Engineering , Volume 154 , 2021 April 1, {Pages 107126 }

    Abstract

    This paper presents a new bi-objective mathematical model to design a build-to-order supply chain (BTO-SC) network. In this paper, the demand of customers (dealers) is lead-time dependent and the time-sensitive parameter of the lead time is also dynamic and time-dependent. The objectives are to minimize the supply chain network cost and the number of lost demands, respectively. This paper integrates procurement, production and distribution problems to consider the trade-off between lead time, logistic cost, and the lost demands derived from lead time in the BTO-SC. Due to the NP-hard nature of the proposed model, a new hybrid meta-heuristic algorithm is presented. The proposed model is validated by GAMS software, and some test problems gene

    Simultaneous production planning and scheduling in a production line of IV (intravenous) fluids and irrigation solutions

    I Hassanzadeh Nodeh, SH Zegordi, I Nakhai Kamalabadi, ...
    Journal Papers , , {Pages }

    Abstract

    An efficient centralized master echocardiography schedule in a distributed hospital/clinic network

    Delaram Chaghazardy, Seyed Hessameddin Zegordi, Mohammad Sepehri, Hassan Aghajani
    Journal PapersJournal of Industrial and Systems Engineering , 2020 April 24, {Pages }

    Abstract

    Appointment scheduling systems are applied in a broad variety of healthcare environments to reduce costs and increase quality of services. This study is concerned with the problem of appointment scheduling in a distributed multi-hospital network of echocardiography departments. In this paper, a centralized master schedule is presented to maximize profit margin through maximizing the number of performed echoes and minimizing overtime. Developing such a schedule requires handling shift scheduling and capacity allocation problems simultaneously. Based on real-world settings, a mixed integer linear programming model is proposed for the research problem. Since this model requires a large amount of time and memory to provide good solutions, and f

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

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

    Abstract

    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

    Reliable cross-docking location problem under the risk of disruptions

    Asefeh Hasani Goodarzi, Seyed Hessameddin Zegordi, G?lg?n Alpan, Isa Nakhai Kamalabadi, Ali Husseinzadeh Kashan
    Journal PapersOperational Research , 2020 July 6, {Pages Jan-44 }

    Abstract

    This paper seeks to develop a reliable network of cross-docks by taking in to account disruption and reliability issues to hedge against heterogeneous risk of cross-docking failure. In real environments, applying a recovery policy can be a feasible strategy to handle disruptions. Hence, in this study, a recovery policy has been addressed in the form of reallocating suppliers to alternative cross-docks or altering the transportation strategy to move shipments. In addition to cross-dock location design, the optimum capacity of opened cross-docks will be determined considering the loads that will be served by each cross-docking center under regular and disruption conditions. A mixed integer nonlinear programming formulation is pre

    Dynamic pricing in a semi-centralized dual-channel supply chain with a reference price dependent demand and production cost disruption: the case of Iran Khodro Company

    Farnia Zarouri, Seyed Hessamedin Zegordi, Ali Husseinzadeh Kashan
    Journal PapersScientia Iranica , 2020 April 14, {Pages }

    Abstract

    During the years of imposed sanctions against Iran, Iran Khodro Company (IKCO) got into a hazardous situation due to CKD parts’ purchasing cost increment and emersion of new product variants in the competitive market. To examine such situation, this study examines a multi-period semi-centralized dual-channel supply chain where a common retailer (free market) and two manufacturers’(IKCO and Saipa as a major competitor) direct channels are confronted with reference price dependent and stochastic demand. The problem is analyzed under Stackelberg and cooperative games scenarios using heuristic algorithm and a League Championship algorithm respectively, as solution methods. Results obtained from solving the problem with IKCO data proves high

    Market power influential approach using game theory in a two competing supply chains with multi-echelons under centralized/decentralized environments

    Narges Khanlarzade, Seyed Hessameddin Zegordi, Isa Nakhai Kamalabadi, Majid Sheikhmohammady
    Journal PapersJournal of Industrial and Systems Engineering , Volume 12 , Issue 3, 2019 August 19, {Pages 22-54 }

    Abstract

    This paper is considering the competition between two multi-echelon supply-chains on price and service under balance and imbalance of market power between the chains which are analyzing through Nash and Stackelberg game approach. The problem is categorized as the centralized or decentralized structure of each chain, which means a few different possible scenarios are developing based on the Nash and Stackelberg games. The aim of the paper is to investigate the simultaneous effect of the chains’ structure and market power on the decision variables. As a surprise result, we show that in the Stackelberg game, the chain will not always have the second-mover advantage. Furthermore, the results demonstrate that the leader''s presence in the mark

    Simultaneous production planning and scheduling in hybrid flow shop with time periods and work shifts

    Iman Hassanzadeh Nodeh, Seyed Hessameddin Zegordi
    Journal PapersJournal of Industrial and Systems Engineering , Volume 12 , Issue 1, 2019 January , {Pages 198-214 }

    Abstract

    Simultaneous production planning and scheduling has been identified as one of the most important factors that affect the efficient implementation of planning and scheduling operations for the production systems. In this paper, simultaneous production planning and scheduling is applied in a hybrid flow shop environment, which has numerous applications in real industrial settings. In this problem, it is assumed that each time period includes a number of discontinuous intervals called work shifts. A novel mixed integer linear programming model is formulated. Since this problem is NP-hard in the strong sense, a new heuristic algorithm is developed to construct a complete schedule from a solution matrix that is embedded in the proposed Tabu sear

    A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration

    Farnaz Torabi Yeganeh, Seyed Hessameddin Zegordi
    Journal PapersAnnals of Operations Research , 2019 January , {Pages Jan-36 }

    Abstract

    Uncertainty is one of the main parts of the project management environment that can strongly affect the project objectives and cause unpredictable delays. This study presents a multi-objective optimization approach for constructing resilient project schedules under resource constraints to cope with uncertain activity durations. In this paper, the concept of resilient project scheduling is defined to measure the ability of schedules to deal with duration disruption. Since the direct evaluation of resiliency is computationally complicated and time-consuming, a new surrogate resilience measure is introduced. The proposed resiliency criteria measure the floating of activities and the risks associated with the completion of the proj

    Pricing in Two Competing Supply Chains Based on Market Power and Market Size under Centralized and Decentralized Structures

    Narges Khanlarzade, Seyed Hessamedin Zegordi, Isa Nakhai Kamalabadi
    Journal PapersScientia Iranica , 2019 June 26, {Pages }

    Abstract

    In this paper, we considered the competition between two multi-echelon supply chains with identical structures on price under two market power structures. For this purpose, we developed two different scenarios. In the first scenario, both supply chains decided simultaneously (the Nash game). In the second scenario, due to the imbalance of power between the two supply chains, we adopted the Stackelberg game in the model. Price equilibrium is obviously obtained through the Game Theory. The paper investigated the effects of different relations between the market sizes of supply chains and the supply chain structures on price and profit along with the analysis of power in the market. Based on these assumptions, it was found that the supply chai

    DYNAMIC PRICING IN A DUAL-CHANNEL SUPPLY CHAIN WITH A FIXED AMOUNT OF PRODUCTS IN DISRUPTION OCCURRING CONDITIONS AND STOCHASTIC DEMAND

    SH ZEGORDI
    Journal Papers , Volume 341 , Issue 2200603, 2019 January 1, {Pages 31-42 }

    Abstract

    Sanctions imposed by the West led to a period of economic stagnation in Iran in recent years. Automobile industry is among the industries that suffered from substantial losses from the sanctions. These sanctions were originated generally due to uncompensated damages incurred to automobile manufacturing supply chain process. Iran Khodro Company (IKCO) had been prohibited from Peugeot Company of France; hence, IKCO supplied its parts and components requirements via an intermediate country like Turkey in sanctions periods. Saipa proceeded to purchase production lines of Chinese automobiles and launched producing this country's automobiles in order to respond to disruptions caused by the sanctions. These Chinese automobiles have been considered

    Simultaneous production planning and scheduling in a hybrid flow shop with time periods and work shifts

    I Hassanzadeh Nodeh, SH Zegordi
    Journal Papers , , {Pages }

    Abstract

    An Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies

    R Sadeghi Rad, N Nahavandi, A Husseinzadeh Kashan, SH Zegordi
    Journal PapersInternational Journal of Engineering , Volume 31 , Issue 3, 2018 March 1, {Pages 440-449 }

    Abstract

    In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of Recency, Frequency and Monetary (RFM) technique. In contrast to the existing closed-loop supply chain network design models which select suppliers based on unit price and quantity discount, the proposed model considers loyalty discount policy along with unit price and quantity discount policy as elements of RFM technique in selecting suppliers. The main objective of this paper which is formulated by a mixedinteger programming model is to minimize the total cost throug

    A branch and bound algorithm for solving large-scale single-machine scheduling problems with non-identical release dates

    Seyed Hessameddin Zegordi, Mohammad Yavari
    Journal PapersEuropean Journal of Industrial Engineering , Volume 12 , Issue 1, 2018 January , {Pages 24-42 }

    Abstract

    In this paper, we have examined minimising the total completion times in a single-machine scheduling problem with non-identical job release dates. This problem is known to be strongly NP-hard. We have proposed an effective lower bound-based. Also, a near optimal heuristic has been presented that has an average gap of less than 0.077% from the optimum solution. Additionally, in 18% of the problem instances with up to 60 jobs, the upper bound value is equal to the lower bound value. Then we provide two dominance properties. Subsequently, the proposed lower bound, upper bound and dominance properties have been applied in the branch and bound method and have been tested in a wide range of instances. Computational experiments demonstrate the abi

    E ciency assessment of Iranian handmade carpet company by network DEA

    SH Zegordi, A Omid
    Journal Papers , 2018 January , {Pages }

    Abstract

    Di erent categories of Iranian handmade carpet are produced each year. Due to resource limitation, it is so important for managers to allocate more resources to the most e cient categories. Therefore, the main purpose of this illustration is to consider most e cient types of carpet in production and sales stages. To do so, di erent categories of Iranian handmade carpet are considered as DMUs. This study utilizes network DEA for constructing a model to analyze total and partial e ciencies of Iranian Handmade Carpet Company (IHCC), simultaneously. IHCC consists of three main departments that are working jointly to maximize productivity of the rm; therefore, the case of IHCC is a multi-stage system with shared intermediate variables, extra inp

    Vehicle routing problem in a kanban controlled supply chain system considering cross-docking strategy

    Asefeh Hasani Goodarzi, Seyed Hessameddin Zegordi
    Journal PapersOperational Research , 2018 January , {Pages 29-Jan }

    Abstract

    This paper considers an inventory-routing problem in a distribution network in which kanban is used as a means to implement just-in-time strategy. There are a set of part suppliers and cross-docks in this network, which provide parts for an assembly plant. A novel mixed integer non-linear programming formulation is developed for the problem in which the optimum number of kanbans is determined considering inventory and transportation cost. In the other word, this research aims at reducing the level of inventory and transportation cost in a kanban controlled supply chain system, in which the number of kanbans is to be determined optimally considering demand from suppliers and geographical distribution of them. A fleet of vehicles is applied t

    Assessing Dynamic Efficiency of Machine-made Carpet Industry by Network DEA Technique

    Azadeh Omid, Seyed Hessameddin Zegordi, Nasim Nahavandi
    Journal PapersEuropean Journal of Operational Research , Volume 207 , Issue 2, 2018 January 1, {Pages 1122-1129 }

    Abstract

    The results of dynamic efficiency evaluation not only help managers to realize their business' position in competitive market, but also enable them to compare current company’s performance with previous periods and do strategic planning properly. For doing so, network data envelopment analysis is a logical approach. Hence, the main objective of this illustration is to measure dynamic efficiency by means of network data envelopment analysis technique. Although different approaches in network DEA are introduced recently, the need for a comprehensive methodology in this area is remained because of the defects of previous methodologies. Consequently, a novel approach based on multi-objective optimization is introduced in this paper in order t

    Modeling truck scheduling problem at a cross-dock facility through a bi-objective bi-level optimization approach

    Fateme Heidari, Seyed Hessameddin Zegordi, Reza Tavakkoli-Moghaddam
    Journal PapersJournal of Intelligent Manufacturing , Volume 29 , Issue 5, 2018 June 1, {Pages 1155-1170 }

    Abstract

    Uncertainty and non-deterministic nature of the real world makes planning and scheduling in cross-docks a very complicated task for decision makers. These constant changes that happen all the time, often, lead to an increase in costs and/or a decrease in efficiency. Most of the uncertainty in cross-docks is caused by un-known truck arrival times. In this study we address the problem of scheduling incoming and outgoing trucks at a cross-dock facility, when vehicle arrival times are unknown, through a cost-stable scheduling strategy. Two meta-heuristics, MODE and NSGA-II, are used for solving the designed sample problems and are compared with a random search based genetic algorithm existing in the literature. Finally, performance of each algo

    A Multi-Objective Imperialist Competitive Algorithm for Vehicle Routing Problem in Cross-docking Networks with Time Windows

    Asefeh Hasani Goodarzi, Nasim Nahavandi, Seyed Hessameddin Zegordi
    Journal PapersJournal of Industrial and Systems Engineering , Volume 11 , Issue 1, 2018 February 18, {Pages 23-Jan }

    Abstract

    This study addresses the pickup and delivery problem for cross-docking strategy, in which shipments are allowed to be transferred from suppliers to retailers directly as well as through cross-docks. Usual models that investigate vehicle routing in cross-docking networks force all vehicles to stop at the cross-dock even if a shipment is about to a full truckload or the vehicle collects and delivers the same set of products. In order to eliminate unnecessary stops at the dock, and thus reduce transportation costs, the designed model tries to decide about the best approach to deliver orders to retailers in a tailored network. In such a system, two objectives are taken into account: minimization of the total transportation cost and minimization

    /pro/academic_staff/zegordi/publication

    دروس نیمسال جاری

    • كارشناسي ارشد
      تجزيه و تحليل و بهبود بهره وري ( واحد)
      دانشکده مهندسی صنایع و سیستم‌ها، گروه مديريت سيستم و بهره وري
    • كارشناسي ارشد
      نظريه صف ( واحد)

    دروس نیمسال قبل

    • دكتري
      نظريه توالي عمليات ( واحد)
      دانشکده مهندسی صنایع و سیستم‌ها، گروه مهندسي صنايع
    • كارشناسي ارشد
      طراحي سيستم هاي صنعتي ( واحد)
    • 1400
      اسكندري, حسين
      مديريت ريسك در فرآيند توسعه محصول جديد با استفاده از رويكرد يادگيري ماشين در يك پالايشگاه نفت
    • 1400
      پيروزبخش, مرواريد
    • 1400
      غلامي, سعيد
    • 1400
      مظلوم كليماني, ياسين
    • 1397
      علي ابادي, ليلا
      مدل سازي رياضي تعامل مالي و عمليات براي پوشش ريسك قيمت كالا در مديريت مالي زنجيره تأمين
    • 1398
      تقي پوراناري, عصمت
    • 1399
      يزدان پرست, سيد علي
    • رئیس بخش مهندسی صنایع
    • عضو کارگروه بررسی صلاحیت علمی
    • عضو شورای نظارت، ارزیابی و بهینه سازی عملکرد دانشکده
    • معاون پژوهشی دانشکده های فنی مهندسی
    • معاون علمی (آموزشی و پژوهشی ) دانشکده مهندسی صنایع و سیستمها
    • جانشین مدیر PMO در طرح تحول دانشگاه تربیت مدرس
    • عضویت در هیات تحریریه مجله علمی پژوهشی شریف
      داده ای یافت نشد

    مهم

    جدید

      اطلاعیه ای درج نشده است