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The closed-loop supply chain considers conceptually the possibility of reverse logistics with the use of recycling, remanufacturing and disposal centers. This study contributes for the first time a green closed-loop supply chain framework for the ventilators, which are highly important in the case of the COVID-19 pandemic. The proposed model simulates a case study of Iranian medical ventilator production. The proposed model includes environmental sustainability to limit the carbon emissions as a constraint. A novel stochastic optimization model with strategic and tactical decision making is presented for this closed-loop supply chain network design problem. To make the proposed ventilator logistics network design more realistic, most of the parameters are considered to be uncertain, along with the normal probability distribution. Finally, to show the managerial dimensions under the COVID-19 pandemic for our proposed model, some sensitivity analyses are performed. Results confirm the high impact of carbon emissions and demand variations on the optimal solution in the case of COVID-19.
Lily Poursoltan; Seyed-Mohammad Seyed-Hosseini; Armin Jabbarzadeh. Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic. Sustainability 2021, 13, 9407 .
AMA StyleLily Poursoltan, Seyed-Mohammad Seyed-Hosseini, Armin Jabbarzadeh. Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic. Sustainability. 2021; 13 (16):9407.
Chicago/Turabian StyleLily Poursoltan; Seyed-Mohammad Seyed-Hosseini; Armin Jabbarzadeh. 2021. "Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic." Sustainability 13, no. 16: 9407.
Along with the increasing rate of using renewable energies, following the finite amount of fossil fuel resources, and the associated pollution of these non-renewable energies, photovoltaic systems have recently achieved widespread acceptance to harness solar energy in the last decades. Since photovoltaic systems have a limited lifespan and cannot be used after a while, it seems imperative to pay attention to recycling and sustainability in the supply chain network design of these systems. In this respect, this paper first reviews the photovoltaic systems literature systematically. Thereinafter, a multi-objective, mixed-integer non-linear optimization model is deployed to design a photovoltaic supply chain network addressing the system's associated costs, environmental impacts, and social values. The concerned model also considers a reverse flow in addition to the typical forward flow in the proposed supply chain for special environmental and social issues. Likewise, to optimize the presented multi-objective model, the augmented ε-constraint method is employed, being capable of warranting the Pareto optimal solutions. Eventually, the model's efficiency is illustrated by discussing a real-world case in Iran, through which prominent managerial results are acquired.
Maryam Nili; Seyed Mohammad Seyedhosseini; Mohammad Saeed Jabalameli; Ehsan Dehghani. A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran. Renewable and Sustainable Energy Reviews 2021, 150, 111428 .
AMA StyleMaryam Nili, Seyed Mohammad Seyedhosseini, Mohammad Saeed Jabalameli, Ehsan Dehghani. A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran. Renewable and Sustainable Energy Reviews. 2021; 150 ():111428.
Chicago/Turabian StyleMaryam Nili; Seyed Mohammad Seyedhosseini; Mohammad Saeed Jabalameli; Ehsan Dehghani. 2021. "A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran." Renewable and Sustainable Energy Reviews 150, no. : 111428.
This paper studies a two-level closed-loop supply chain under vendor managed inventory contract and learning effects. The proposed problem is formulated by a mixed-integer non-linear programming model. The main supposition of the proposed problem is to assume a known probability density function for the defective products rate, then the mean standard deviation utility function is used to minimize the mean cost of the system while taking the standard deviation costs. This paper deals with a multi-product model which is NP-hard and very difficult to solve. Hence, another main contribution of this work is to develop a hybrid metaheuristic with regards to three well-known and recent efficient metaheuristics. The results confirm the applicability and efficiency of the proposed hybrid algorithm in comparison with individual ones in this context and encourage the development and application of this approach more broadly.
Lily Poursoltan; Seyed Mohammad Seyedhosseini; Armin Jabbarzadeh. A two-level closed-loop supply chain under the constract Of vendor managed inventory with learning: a novel hybrid algorithm. Journal of Industrial and Production Engineering 2021, 38, 254 -270.
AMA StyleLily Poursoltan, Seyed Mohammad Seyedhosseini, Armin Jabbarzadeh. A two-level closed-loop supply chain under the constract Of vendor managed inventory with learning: a novel hybrid algorithm. Journal of Industrial and Production Engineering. 2021; 38 (4):254-270.
Chicago/Turabian StyleLily Poursoltan; Seyed Mohammad Seyedhosseini; Armin Jabbarzadeh. 2021. "A two-level closed-loop supply chain under the constract Of vendor managed inventory with learning: a novel hybrid algorithm." Journal of Industrial and Production Engineering 38, no. 4: 254-270.
An efficient track maintenance management system depends on a reliable track conditions assessment. The available track condition indices have been developed based on the geometry assessment or visual inspection of the straight tracks and curves structural conditions. The literature review indicates that there is no research on the indices development for the track turnouts and switch conditions, despite their important role in the track performance and safety. It is the critical requirement to develop switch condition index. In response to this requirement, in this study an index for the track turnout and switches structures conditions was developed for the first time. The index was developed based on the results of the filed investigation as well as statistical analyses of engineering experiences and expert judgments using the Delphi method. The applicability and reliability of the new index were evaluated by analyzing the index obtained for 23 turnouts. It was shown that the new index provides a better understanding of the track safety level and cost-effective maintenance and it optimizes repair planning for the turnout and crossing.
Asadollah Rahmani; Seyed Mohammad Seyedhosseini. Development of Railway Turnout Structural Condition Index. Iranian Journal of Science and Technology, Transactions of Civil Engineering 2020, 45, 219 -226.
AMA StyleAsadollah Rahmani, Seyed Mohammad Seyedhosseini. Development of Railway Turnout Structural Condition Index. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2020; 45 (1):219-226.
Chicago/Turabian StyleAsadollah Rahmani; Seyed Mohammad Seyedhosseini. 2020. "Development of Railway Turnout Structural Condition Index." Iranian Journal of Science and Technology, Transactions of Civil Engineering 45, no. 1: 219-226.
The recent advances in manufacturing systems motivate several studies to focus on Economic Production Quantity (EPQ) problem. Althuogh there are several extentions to the EPQ, this paper provides a new extension by considering some of the real world parameters like: (a) shortages in the form of partial backordering, (b) inventory can deteriorate stochastically, (c) machine can break down stochastically, and (d) machine repair time may change stochastically based on the failure status of machine. As far as we know, there is no study treated all these suppositions in an EPQ framework. In addition to this development, two forms of uniformly- and exponentially-distributed repair times are formulated and necessary convexity conditions are discussed. Then, the corresponding optimality conditions are written that lead to finding the roots of two equations. Due to difficulty of achieving a closed-form solution, the solution is obtained numerically by means of Newton-Raphson method. Finally, some sensitivity analyses are provided to explain the models’ applicability. The practicality and efficiency of the proposed method in this context lends weight to development of proposed EPQ with more complex elements and its application more broadly.
L. Poursoltan; S. M. Seyedhosseini; A. Jabbarzadeh. An Extension to the Economic Production Quantity Problem with Deteriorating Products Considering Random Machine Breakdown and Stochastic Repair Time. International Journal of Engineering 2020, 33, 1567 -1578.
AMA StyleL. Poursoltan, S. M. Seyedhosseini, A. Jabbarzadeh. An Extension to the Economic Production Quantity Problem with Deteriorating Products Considering Random Machine Breakdown and Stochastic Repair Time. International Journal of Engineering. 2020; 33 (8):1567-1578.
Chicago/Turabian StyleL. Poursoltan; S. M. Seyedhosseini; A. Jabbarzadeh. 2020. "An Extension to the Economic Production Quantity Problem with Deteriorating Products Considering Random Machine Breakdown and Stochastic Repair Time." International Journal of Engineering 33, no. 8: 1567-1578.
Throughout history, nature has exposed humans to destructive phenomena such as earthquakes, floods, droughts, tornadoes, volcanic eruptions, and tropical and marine storms. The large scale of damages and casualties caused by natural disasters around the world has led to extensive applied research in the field of preparation and development of a comprehensive system for disaster management to minimize the resulting casualties and financial damages. Based on this motivation and challenges to the field, this research designs an integrated relief chain to optimize simultaneously the preparedness and response phases of disaster management. Decisions to improve the supply chain include locating distribution centers of relief supplies; the amount of inventory stored in facilities in pre-disaster phase, locating temporary care centers and transportation points of the injured, how to allocate relief services to the affected areas, and routing of the vehicles used to distribute relief supplies and evacuate the injured. The results show that decreasing the capacity of distribution centers increases the amount of shortage of supplies and increasing the capacity of these centers reduces the amount of shortage of supplies.
H. Beiki; S. M. Seyedhosseini; V. R. Ghezavati; S. M. SeyedAliAkbar. A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty. International Journal of Engineering 2020, 33, 1274 -1284.
AMA StyleH. Beiki, S. M. Seyedhosseini, V. R. Ghezavati, S. M. SeyedAliAkbar. A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty. International Journal of Engineering. 2020; 33 (7):1274-1284.
Chicago/Turabian StyleH. Beiki; S. M. Seyedhosseini; V. R. Ghezavati; S. M. SeyedAliAkbar. 2020. "A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty." International Journal of Engineering 33, no. 7: 1274-1284.
Reinforced Concrete (RC) structures are a prevalent type of structure. In each year a lot of RC buildings are constructed and there is a large investment on RC buildings. Dual systems (containing RC shear walls and moment resisting frame) and moment resisting frame systems are the most common type of RC buildings in Iran. Earthquake can cause severe damages to RC buildings and it is important to identify which structural system has better performance under seismic excitation. Some researchers have studied seismic reliability of the bridges structures using field data. However, real field data are not used to analyze the reliability of RC buildings. In this study the reliability analysis is used to evaluate the performance of each structural system. The probability distribution of the concrete and steel bars strength are gathered by nun-destructive tests and bar tensile tests. The mentioned tests are done in 110 RC buildings in Tehran. A series of time history analysis are done to determine the probability of failure. Monte Carlo sampling is used for reliability analysis. The reliability of two prevalent RC structural systems are compared under different earthquake records. It is found that the dual system can have a better performance under seismic excitation and it can reduce damages in the earthquake.
Aliasghar Amirkardoust; Seyed Azim Hosseini; Hamidreza Rabeifard; Abbas Akbarpournickghalbrashti. Reliability Assessment of Reinforced Concrete Buildings Using Field Data in Tehran. Journal of Applied Engineering Sciences 2020, 10, 39 -44.
AMA StyleAliasghar Amirkardoust, Seyed Azim Hosseini, Hamidreza Rabeifard, Abbas Akbarpournickghalbrashti. Reliability Assessment of Reinforced Concrete Buildings Using Field Data in Tehran. Journal of Applied Engineering Sciences. 2020; 10 (1):39-44.
Chicago/Turabian StyleAliasghar Amirkardoust; Seyed Azim Hosseini; Hamidreza Rabeifard; Abbas Akbarpournickghalbrashti. 2020. "Reliability Assessment of Reinforced Concrete Buildings Using Field Data in Tehran." Journal of Applied Engineering Sciences 10, no. 1: 39-44.
This paper analyzes the labor–employer relations during conditions that lead to strike using an evolutionary game and catastrophe theory. During a threat to strike, the employers may accept the whole or only a part of the demands of labors and improve the work conditions or decline the demands, and each selected strategies has its respective costs and benefits. The threat to strike action causes the formation of a game between the strikers and employers that in which, as time goes on, different strategies are evaluated by the players and the effective variables of strike faced gradual and continuous changes, which can lead to a sudden jump of the variables and push the system to very different conditions such as dramatic increase or decrease in the probability of selecting strategies. So the alliance between labors could suffer or reinforce. This discrete sudden change is called catastrophe. In this study after finding evolutionary stable strategies for each player, the catastrophe threshold analyzed by nonlinear evolutionary game and the managerial insight is proposed to employers to prevent the parameters from crossing the border of the catastrophe set that leads to a general strike.
Ahmad Makui; Seyed Mohammad Seyedhosseini; Seyed Jafar Sadjadi; Parinaz Esmaeili. Analysis of labor strike based on evolutionary game and catastrophe theory. EURO Journal on Decision Processes 2020, 8, 79 -88.
AMA StyleAhmad Makui, Seyed Mohammad Seyedhosseini, Seyed Jafar Sadjadi, Parinaz Esmaeili. Analysis of labor strike based on evolutionary game and catastrophe theory. EURO Journal on Decision Processes. 2020; 8 (1-2):79-88.
Chicago/Turabian StyleAhmad Makui; Seyed Mohammad Seyedhosseini; Seyed Jafar Sadjadi; Parinaz Esmaeili. 2020. "Analysis of labor strike based on evolutionary game and catastrophe theory." EURO Journal on Decision Processes 8, no. 1-2: 79-88.
Social price-sensitivity of demand is proposed for a two-echelon competitive supply chain (SC) comprising a monopolistic manufacturer and two duopolistic retailers. In the investigated SC, the manufacturer invests in corporate social responsibility (CSR) effort, and the retailers compete on selling price. This paper demonstrates the effect of the manufacturer’s CSR effort on customers’ price sensitivity. Therefore, the main contribution of this study is to propose a novel competitive price-dependent demand in which customers’ self-price and cross-price sensitivities depend on the manufacturer’s CSR effort. The SC under consideration is modelled in decentralized, centralized, and coordinated decision-making structures. Additionally, the effect of different vertical game structures and various game behaviors of the two retailers on the overall chain’s profitability, SC members’ profitability, and optimal decisions is analyzed. Our results indicate that the proposed two-part tariff contract increases both the CSR effort and the retail prices. Furthermore, the proposed coordination model can benefit all in the chain; thus providing a win-win situation for all SC members. The results also suggest that customers’ price sensitivity can be effectively decreased by the manufacturer’s CSR effort.
Seyed Mohammad Seyedhosseini; Seyyed-Mahdi Hosseini-Motlagh; Maryam Johari; Mona Jazinaninejad. Social price-sensitivity of demand for competitive supply chain coordination. Computers & Industrial Engineering 2019, 135, 1103 -1126.
AMA StyleSeyed Mohammad Seyedhosseini, Seyyed-Mahdi Hosseini-Motlagh, Maryam Johari, Mona Jazinaninejad. Social price-sensitivity of demand for competitive supply chain coordination. Computers & Industrial Engineering. 2019; 135 ():1103-1126.
Chicago/Turabian StyleSeyed Mohammad Seyedhosseini; Seyyed-Mahdi Hosseini-Motlagh; Maryam Johari; Mona Jazinaninejad. 2019. "Social price-sensitivity of demand for competitive supply chain coordination." Computers & Industrial Engineering 135, no. : 1103-1126.
In ground and air transportation systems, services are operated as hub-and-spoke networks. For a given discrete planning horizon, disrupted hub nodes and edges can change the location of hub nodes and routes of transferring (allocation) at each level of hierarchy, so that the system can be converted to a flexible network capable of expanding or contracting in the long term. Because of the probability of hub nodes’, hub edge’ disruption and the periodic changes demands, A novel mixed-integer mathematical programming formulation that is effective for a hierarchical multi-modes transportation hub location problem (HMMTHLP) is presented. The main issue is how to tackle the hub nodes’ and edges’ disruption in a dynamic system. Various instances from the two different sets of data such as CAB dataset and Airport-Railway Network real-life case study (ARWN) are provided for computational analysis. The value of these tests in a multi-period solution with managerial insights of the two different cases are presented. A Monte Carlo simulation is used in a two-stage heuristic algorithm; this methodology provides a strategy with which to compare and discuss the locations-allocations of a dynamic network with or without any disruption.
Sara Sadat Torkestani; Seyed Mohammad Seyedhosseini; Ahmad Makui; Kamran Shahanaghi. The reliable design of a hierarchical multi-modes transportation hub location problems (HMMTHLP) under dynamic network disruption (DND). Computers & Industrial Engineering 2018, 122, 39 -86.
AMA StyleSara Sadat Torkestani, Seyed Mohammad Seyedhosseini, Ahmad Makui, Kamran Shahanaghi. The reliable design of a hierarchical multi-modes transportation hub location problems (HMMTHLP) under dynamic network disruption (DND). Computers & Industrial Engineering. 2018; 122 ():39-86.
Chicago/Turabian StyleSara Sadat Torkestani; Seyed Mohammad Seyedhosseini; Ahmad Makui; Kamran Shahanaghi. 2018. "The reliable design of a hierarchical multi-modes transportation hub location problems (HMMTHLP) under dynamic network disruption (DND)." Computers & Industrial Engineering 122, no. : 39-86.
In this paper, a two-component system is considered. The first component's failure is hidden; i.e., it does not make the system stop. The second component has three possible states, healthy, defective, and failed. The failed state is revealed; i.e., it causes the system stop. Thus, each revealed failure causes a shock on the first component and increases its failure rate. The system is periodically inspected to identify defects and hidden failures. The first component is also opportunistically inspected whenever the second component reveals its failure. Inspections may be imperfect. The goal is to find the optimal periodic inspection interval which minimizes total cost on a finite time horizon. The inspection model is first formulated mathematically. Then, due to the complexity of numerical computing, a simulation algorithm is developed to calculate the expected total cost. The proposed approach is demonstrated through a numerical example for an electrical distribution system.
Seyed Mohammad Seyedhosseini; Hamid Moakedi; Kamran Shahanaghi. Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon. Reliability Engineering & System Safety 2018, 174, 141 -156.
AMA StyleSeyed Mohammad Seyedhosseini, Hamid Moakedi, Kamran Shahanaghi. Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon. Reliability Engineering & System Safety. 2018; 174 ():141-156.
Chicago/Turabian StyleSeyed Mohammad Seyedhosseini; Hamid Moakedi; Kamran Shahanaghi. 2018. "Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon." Reliability Engineering & System Safety 174, no. : 141-156.
Iran has numerous capabilities in producing new and renewable energies due to its geographical location. This stresses a robust optimization pattern to develop the use of renewable energies. The main aim of this study is to develop a comprehensive pattern for energy in two scenarios: maintenance of status quo or transition to replaceable energies by applying energy replacement modeling in Iran. Therefore, a set of basic and structural issues, required area for energy and environmental location, were investigated to arrange an appropriate strategic framework for new energy development. Following energy system modeling by benchmarking against the world’s optimized systems of energy, strategic program of energy has been done through a review of the present situation of energy of Iran. To replace the fossil fuels by renewable energies, a robust optimization model was designed and the replacement optimization routes for new energies to replace fossil fuels were put into scenarios in a period of time in Iran. Implementing and developing a comprehensive model for energy and using simulation for validation and adaptation of the obtained results, some scenarios were offered for the renewable energy transitions. Evaluating the results of the findings suggests broad concepts of energy. Development might be observed in the results of models. The result of this study depicts that Iran owns a large number of potentials to use new energies. The long-term optimization pattern of results proposes 15% of electricity is taken from solar energy in the 1404.
Mohsen Jalalimajidi; Sm Seyedhosseini; Ahmad Makui; Masoud Babakhani. Developing a comprehensive model for new energy replacement in the country’s development program using a robust optimization approach. Energy & Environment 2018, 29, 868 -890.
AMA StyleMohsen Jalalimajidi, Sm Seyedhosseini, Ahmad Makui, Masoud Babakhani. Developing a comprehensive model for new energy replacement in the country’s development program using a robust optimization approach. Energy & Environment. 2018; 29 (6):868-890.
Chicago/Turabian StyleMohsen Jalalimajidi; Sm Seyedhosseini; Ahmad Makui; Masoud Babakhani. 2018. "Developing a comprehensive model for new energy replacement in the country’s development program using a robust optimization approach." Energy & Environment 29, no. 6: 868-890.
This paper presents the competitive supply chain network design problem in which \(n\) decentralized supply chains simultaneously enter the market with no existing rival chain, shape their networks and set wholesale and retail prices in competitive mode. The customer demand is elastic and price dependent, customer utility function is based on the Hoteling model and the chains produce identical or highly substitutable products. We construct a solution algorithm based on bi-level programming and possibility theory. In the proposed bi-level model, the inner part sets the prices based on simultaneous extra- and Stackleberg intra- chains competitions, and the outer part shapes the networks in cooperative competitions. Finally, we use a real-word study to discuss the effect of the different structures of the competitors on the equilibrium solution. Moreover, sensitivity analyses are conducted and managerial insights are offered.
Seyed Mohammad Seyedhosseini; Kaveh Fahimi; Ahmad Makui. Decentralized supply chain network design: monopoly, duopoly and oligopoly competitions under uncertainty. Journal of Industrial Engineering International 2017, 14, 677 -704.
AMA StyleSeyed Mohammad Seyedhosseini, Kaveh Fahimi, Ahmad Makui. Decentralized supply chain network design: monopoly, duopoly and oligopoly competitions under uncertainty. Journal of Industrial Engineering International. 2017; 14 (4):677-704.
Chicago/Turabian StyleSeyed Mohammad Seyedhosseini; Kaveh Fahimi; Ahmad Makui. 2017. "Decentralized supply chain network design: monopoly, duopoly and oligopoly competitions under uncertainty." Journal of Industrial Engineering International 14, no. 4: 677-704.
Hossein Khanjarpanah; Mir Saman Pishvaee; Seyed Mohammad Seyedhosseini. A risk averse cross-efficiency data envelopment analysis model for sustainable switchgrass cultivation location optimization. Industrial Crops and Products 2017, 109, 514 -522.
AMA StyleHossein Khanjarpanah, Mir Saman Pishvaee, Seyed Mohammad Seyedhosseini. A risk averse cross-efficiency data envelopment analysis model for sustainable switchgrass cultivation location optimization. Industrial Crops and Products. 2017; 109 ():514-522.
Chicago/Turabian StyleHossein Khanjarpanah; Mir Saman Pishvaee; Seyed Mohammad Seyedhosseini. 2017. "A risk averse cross-efficiency data envelopment analysis model for sustainable switchgrass cultivation location optimization." Industrial Crops and Products 109, no. : 514-522.
We analyse the simultaneous competitive supply chain network design problem.We discuss the effect of different modes on the problem.A two-stage algorithm is proposed to solve the problem.Bi-level programming is used in the proposed algorithm. A two-stage algorithm is developed for the competitive supply chain network design problem in which two competitors simultaneously enter the market with no existing rival chain, shape their networks, and set attractiveness of their opened distribution centres to maximize their profits. The customer behaviour is based on the Huff gravity-based rule.The proposed algorithm is constructed based on the Lemke and Howson algorithm and variational inequality formulation with the help of bi-level programming, the modified projection method, and the possibility theory. We derive the equilibrium condition and establish the finite dimensional variational inequality formulation, and provide properties of the equilibrium patterns in terms of the results of existence and uniqueness. Finally, we generate some instances and use a real world study to discuss the effect of the different structures of the competitors, namely centralized, decentralized, cooperative, or unknown modes, on the equilibrium solution.
Kaveh Fahimi; Seyed Mohammad Seyedhosseini; Ahmad Makui. Simultaneous competitive supply chain network design with continuous attractiveness variables. Computers & Industrial Engineering 2017, 107, 235 -250.
AMA StyleKaveh Fahimi, Seyed Mohammad Seyedhosseini, Ahmad Makui. Simultaneous competitive supply chain network design with continuous attractiveness variables. Computers & Industrial Engineering. 2017; 107 ():235-250.
Chicago/Turabian StyleKaveh Fahimi; Seyed Mohammad Seyedhosseini; Ahmad Makui. 2017. "Simultaneous competitive supply chain network design with continuous attractiveness variables." Computers & Industrial Engineering 107, no. : 235-250.
Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss decision variables, respectively, by a two-stage stochastic planning model, a robust stochastic optimization planning model which integrates worst case scenario in modeling approach and finally by equivalent deterministic planning model. The experimental study is carried out to compare the performances of the three models. Robust model resulted in remarkable cost saving and it illustrated that to cope with such uncertainties, we should consider them in advance in our planning. In our case study different supplier were selected due to this uncertainties and since supplier selection is a strategic decision, it is crucial to consider these uncertainties in planning approach.
Atousa Zarindast; Seyed Mohamad Seyed Hosseini; Mir Saman Pishvaee. A robust multi-objective global supplier selection model under currency fluctuation and price discount. Journal of Industrial Engineering International 2016, 13, 161 -169.
AMA StyleAtousa Zarindast, Seyed Mohamad Seyed Hosseini, Mir Saman Pishvaee. A robust multi-objective global supplier selection model under currency fluctuation and price discount. Journal of Industrial Engineering International. 2016; 13 (2):161-169.
Chicago/Turabian StyleAtousa Zarindast; Seyed Mohamad Seyed Hosseini; Mir Saman Pishvaee. 2016. "A robust multi-objective global supplier selection model under currency fluctuation and price discount." Journal of Industrial Engineering International 13, no. 2: 161-169.
Determining the best location to be profitable for the facility’s lifetime is the important decision of public and private firms, so this is why discussion about dynamic location problems (DLPs) is a critical significance. This paper presented a comprehensive review from 1968 up to most recent on published researches about DLPs and classified them into two parts. First, mathematical models developed based on different characteristics: type of parameters (deterministic, probabilistic or stochastic), number and type of objective function, numbers of commodity and modes, relocation time, number of relocation and relocating facilities, time horizon, budget and capacity constraints and their applicability. In second part, It have been also presented solution algorithms, main specification, applications and some real-world case studies of DLPs. At the ends, we concluded that in the current literature of DLPs, distribution systems and production–distribution systems with simple assumption of the tackle to the complexity of these models studied more than any other fields, as well as the concept of variety of services (hierarchical network), reliability, sustainability, relief management, waiting time for services (queuing theory) and risk of facility disruption need for further investigation. All of the available categories based on different criteria, solution methods and applicability of them, gaps and analysis which have been done in this paper suggest the ways for future research.
Seyed Mohammad Seyedhosseini; Ahmad Makui; Kamran Shahanaghi; Sara Sadat Torkestani. Models, solution, methods and their applicability of dynamic location problems (DLPs) (a gap analysis for further research). Journal of Industrial Engineering International 2016, 12, 311 -341.
AMA StyleSeyed Mohammad Seyedhosseini, Ahmad Makui, Kamran Shahanaghi, Sara Sadat Torkestani. Models, solution, methods and their applicability of dynamic location problems (DLPs) (a gap analysis for further research). Journal of Industrial Engineering International. 2016; 12 (3):311-341.
Chicago/Turabian StyleSeyed Mohammad Seyedhosseini; Ahmad Makui; Kamran Shahanaghi; Sara Sadat Torkestani. 2016. "Models, solution, methods and their applicability of dynamic location problems (DLPs) (a gap analysis for further research)." Journal of Industrial Engineering International 12, no. 3: 311-341.
The cell formation problem determines decomposition of the manufacturing cells of a production system. Machines are assigned to the cells to process one or more part families so that each cell is operated independently and the inter-cellular movements are minimized. This paper proposes a new algorithm for grouping problems (bin packing, graph coloring, scheduling, etc.) which is a grouping version of an almost new algorithm (league championship algorithm (LCA)), and we used it to solve benchmarked instances of cell formation problem posing as a grouping problem. To evaluate the effectiveness of our approach, we borrow a set of 35 most widely used benchmark problem instances from literature and compare the performance of grouping LCA (GLCA) and several well-known algorithms published. The proposed algorithm can reach the best solution for 29 of the 35 benchmark problems and differs with the best-known solution of three benchmark problems only with 0.7 % average gap. We also used a new method to find the number of initial cells. The results show that GLCA may hopefully be a new approach for such kinds of difficult-to-solve problems. Moreover, a real-world industrial case is provided to show how the proposed algorithm works. Considering the performance of the GLCA algorithm on all test problems, the proposed algorithm should thus be useful to both practitioners and researchers.
Azadeh Noktehdan; SeyedMohammad Seyedhosseini; Mohammad Saidi-Mehrabad. A Metaheuristic algorithm for the manufacturing cell formation problem based on grouping efficacy. The International Journal of Advanced Manufacturing Technology 2015, 82, 25 -37.
AMA StyleAzadeh Noktehdan, SeyedMohammad Seyedhosseini, Mohammad Saidi-Mehrabad. A Metaheuristic algorithm for the manufacturing cell formation problem based on grouping efficacy. The International Journal of Advanced Manufacturing Technology. 2015; 82 (1-4):25-37.
Chicago/Turabian StyleAzadeh Noktehdan; SeyedMohammad Seyedhosseini; Mohammad Saidi-Mehrabad. 2015. "A Metaheuristic algorithm for the manufacturing cell formation problem based on grouping efficacy." The International Journal of Advanced Manufacturing Technology 82, no. 1-4: 25-37.
In the literature on value stream mapping (VSM), the only basis for choosing the best future state map (FSM) among the proposed alternatives is the time factor. As a result, the FSM is selected as the best option because it has the least amount of total production lead time (TPLT). In this paper, the cost factor is considered in the FSM selection process, in addition to the time factor. Thus, for each of the proposed FSMs, the cost-time profile (CTP) is used. Two factors that are of particular importance for the customer and the manufacturer – the TPLT and the direct cost of the product – are reviewed and analysed by calculating the sub-area of the CTP curve, called the cost-time investment (CTI). In addition, variability in the generated data has been studied in each of the CTPs in order to choose the best FSM more precisely and accurately. Based on a proposed step-by-step stochastic analysis method, and also by using non-parametric Kernel estimation methods for estimating the probability density function of CTIs, the process of choosing the best FSM has been carried out, based not only on the minimum expected CTI, but also on the minimum expected variability amount in CTIs among proposed alternatives. By implementing this method during the process of choosing the best FSM, the manufacturing organisations will consider both the cost factor and the variability in the generated data, in addition to the time factor. Accordingly, the decision-making process proceeds more easily and logically than do traditional methods. Finally, to describe the effectiveness and applicability of the proposed method in this paper, it is applied to a case study on an industrial parts manufacturing company in Iran.
Seyed Mohammad Seyedhosseini; Ahmad Ebrahimi-Taleghani. A STOCHASTIC ANALYSIS APPROACH ON THE COST-TIME PROFILE FOR SELECTING THE BEST FUTURE STATE MA. South African Journal of Industrial Engineering 2015, 26, 267 .
AMA StyleSeyed Mohammad Seyedhosseini, Ahmad Ebrahimi-Taleghani. A STOCHASTIC ANALYSIS APPROACH ON THE COST-TIME PROFILE FOR SELECTING THE BEST FUTURE STATE MA. South African Journal of Industrial Engineering. 2015; 26 (1):267.
Chicago/Turabian StyleSeyed Mohammad Seyedhosseini; Ahmad Ebrahimi-Taleghani. 2015. "A STOCHASTIC ANALYSIS APPROACH ON THE COST-TIME PROFILE FOR SELECTING THE BEST FUTURE STATE MA." South African Journal of Industrial Engineering 26, no. 1: 267.
Amirreza Nickkar; SeyedMohammad Seyed-Hosseini; Hassan Javanshir; Hasan Khaksar. Developing a Model for Solving the Flight Perturbation Problem. Journal of Airline and Airport Management 2015, 5, 1 .
AMA StyleAmirreza Nickkar, SeyedMohammad Seyed-Hosseini, Hassan Javanshir, Hasan Khaksar. Developing a Model for Solving the Flight Perturbation Problem. Journal of Airline and Airport Management. 2015; 5 (1):1.
Chicago/Turabian StyleAmirreza Nickkar; SeyedMohammad Seyed-Hosseini; Hassan Javanshir; Hasan Khaksar. 2015. "Developing a Model for Solving the Flight Perturbation Problem." Journal of Airline and Airport Management 5, no. 1: 1.