F. Hosseinzadeh Lotfi; M. Rostamy mal khalifeh; M. Heydari Alvar
Volume 1, Issue 1 , Spring 2012, , Pages 1-9
Abstract
In this paper, a method for ranking efficient DMUs based on TOPSIS has been proposed. The difference between the distance of the center of gravity of all efficient DMUs to the ideal point and the anti-ideal point after and before deleting efficient DMUs one by one is the criteria of ranking efficient ...
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In this paper, a method for ranking efficient DMUs based on TOPSIS has been proposed. The difference between the distance of the center of gravity of all efficient DMUs to the ideal point and the anti-ideal point after and before deleting efficient DMUs one by one is the criteria of ranking efficient DMUs. In this paper, the proposed method is compared with AP (input oriented), MAJ (input oriented), AP(output oriented), MAJ (output oriented) models and norm l1 method. This comparison shows that the proposed method is better than the above-mentioned models. The proposed method is also always feasible and simpler in comparison with other methods.
P. Moghaddam; M.J. Tarokh
Volume 1, Issue 2 , Summer 2012, , Pages 1-9
Abstract
In recent decade, firms showing an increasing interest in involving customers, suppliers, other partners and even competitors in innovation process. With current interest in collaboration, partnership, outsourcing and growth in communication facilities, open innovation has gained more importance. Today, ...
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In recent decade, firms showing an increasing interest in involving customers, suppliers, other partners and even competitors in innovation process. With current interest in collaboration, partnership, outsourcing and growth in communication facilities, open innovation has gained more importance. Today, customers are considering as one of the major partners in innovation process. In this paper we explored involving customers as a CRM activity and engaging them in different phase of innovation process. We review open innovation concept and its three core process archetypes and investigate customer involvement in innovation process base on that. In addition we distinguished between different kinds of customer as B2B or B2C, when they involve in open innovation process.
A. Jafari; P. Chiniforooshan; F. Mousavinejad; Sh. Shahparvari
Volume 1, Issue 3 , Autumn 2012, , Pages 1-25
Abstract
In this paper, we consider the fuzzy open shop scheduling problem with parallel machines in each working stage where processing times are vague and are represented by fuzzy numbers. An open shop scheduling problem with parallel machines in each working stage under this condition is close to the real ...
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In this paper, we consider the fuzzy open shop scheduling problem with parallel machines in each working stage where processing times are vague and are represented by fuzzy numbers. An open shop scheduling problem with parallel machines in each working stage under this condition is close to the real production scheduling conditions. A mixed-integer fuzzy programming (MIFP) model is presented to formulate this problem with the objective of minimizing makespan. To solve small-sized instances, an interactive fuzzy satisfying solution procedure is applied. Since this problem is known as a class of NP-hard, a novel discrete electromagnetism-like (DEM) is proposed to solve medium to large size examples. The DEM algorithm employs a completely difference approach. It makes use the crossover operators to calculate force and move particle is used. We employ Taguchi method to evaluate the effects of different operators and parameters on the performance of DEM algorithm. Finally to assess the performance of the algorithm, the results are compared with an existing EM algorithm from the literature and benchmark problems. The result exhibited the ability of the proposed DEM algorithm to converge to the efficient solutions.
H. Zandhessami; A. Jalili
Volume 2, Issue 1 , Winter 2013, , Pages 1-11
Abstract
Many organizations are facing competitive challenges due to the rapid pace of technological change. Management theorists and practitioners alike have called for more creativity and innovation in product lines, management practices and production processes. On one hand, Total quality management (TQM) ...
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Many organizations are facing competitive challenges due to the rapid pace of technological change. Management theorists and practitioners alike have called for more creativity and innovation in product lines, management practices and production processes. On one hand, Total quality management (TQM) has long been a major management practice. Recognition of TQM as a competitive advantage is widespread around the world, and few companies can afford to ignore TQM. Therefore the purpose of this paper is to identify and extraction TQM & Innovation dimensions. In first part have been recognized four dimensions for TQM and two dimensions of Innovation, The four TQM dimensions in this study include Leadership, Employee relations, Customer focus , Continuous improvement and the two Innovation dimensions are Product innovation and Process innovation. Also, in this paper used a DEMATEL Method to examining the causal relations these factors. Inattention to results, the most influential factor is Leadership and more affected factor is Process innovation. As a result Leadership has more influence on Innovation.
W. Dachry; B. Aghezzaf; B. Bensassi
Volume 2, Issue 2 , Spring 2013, , Pages 1-16
Abstract
Faced with new constraints of their environment, industries are forced to join together in collective entities and collaborate with their partners. These companies have realized the importance of collaboration between companies and have begun to adopt new patterns of behavior to improve their productivity, ...
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Faced with new constraints of their environment, industries are forced to join together in collective entities and collaborate with their partners. These companies have realized the importance of collaboration between companies and have begun to adopt new patterns of behavior to improve their productivity, profitability and flexibility during market requests. Indeed, the collaboration between firms has become a major strategic choice. Companies have begun to think of how to cooperate, a new form of management must be developed to ensure coordination and information’s sharing, in real time, between different stakeholders in the supply chain; suppliers, customers, subcontractors and carriers, etc. Faced with these issues, we truly believe that it is important to build a new information system; this one have to be modern, efficient and flexible in order to optimize and control the flow of information between supply chain actors. The approach presented in this paper is considered among the works that aim to propose solutions related to information systems based on multi-agent systems, in order to ensure coordination between services of various partners, sharing and traceability of information.
A. Hatami; H. Kazemipoor
Volume 2, Issue 3 , Summer 2013, , Pages 1-9
Abstract
The fuzzy primal simplex method [15] and the fuzzy dual simplex method [17] have been proposed to solve a kind of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers. The fuzzy simplex method starts with a primal fuzzy basic feasible solution (FBFS) for FLP problem and ...
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The fuzzy primal simplex method [15] and the fuzzy dual simplex method [17] have been proposed to solve a kind of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers. The fuzzy simplex method starts with a primal fuzzy basic feasible solution (FBFS) for FLP problem and moves to an optimal basis by walking truth sequence of exception of the optimal basis obtained in fuzzy primal simplex method don’t satisfy the optimality criteria for FLP problem. Also this method has no efficient when a primal fuzzy basic FBFS is not at hand. The fuzzy dual simplex method needs to an initial dual FBFS. Furthermore, there exists a shortcoming in the fuzzy dual simplex method when the dual feasibility or equivalently the primal optimality is not at hand and in this case, the fuzzy dual simplex method can’t be used for solving FLP problem. In this paper, a fuzzy Big-M method is proposed to solve these problems in which the primal FBFS is not readily available. A numerical example is given to illustrate the proposed method.
H. Abbasimehr; S. Alizadeh
Volume 2, Issue 4 , Autumn 2013, , Pages 1-14
Abstract
Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past research in churn prediction context have mainly ...
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Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past research in churn prediction context have mainly focused on the accuracy aspect of the constructed churn models. However, in addition to the accuracy, comprehensibility aspect should be considered in evaluating a churn prediction model. Being comprehensible, a model can reveal the main reasons for customer churn; thereby mangers can use such information for effective decisions making about marketing actions. In this paper, we demonstrate the application of a genetic-algorithm (GA) method for building accurate and comprehensible churn prediction model. The proposed method, GA-based method uses a wrapper based feature selection approach for choosing the best feature subset. The key advantage of this method, is taking into account the comprehensibility measure (measured as the number of rules extracted from C4.5 decision tree) in evaluating the performance of a candidate model. The GA-based method is compared to the two filter feature selection methods including Chi-squared based and Correlation based feature selection using two telecommunication churn datasets. The results of experiments indicated that the GA-based method performs better than the two filter methods in terms of both accuracy and comprehensibility
A. Forghani; F. Dehghanian
Volume 3, Issue 1 , Spring 2014, , Pages 1-10
Abstract
In this paper a partial interdiction problem on a capacitated hierarchical system is studied. We consider an attacker who can interdict facilities at different levels and each interdiction level causes a specified reduction in the capacity of a facility depending upon its service level in the hierarchy. ...
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In this paper a partial interdiction problem on a capacitated hierarchical system is studied. We consider an attacker who can interdict facilities at different levels and each interdiction level causes a specified reduction in the capacity of a facility depending upon its service level in the hierarchy. First, the interdictor identifies her interdiction strategy whose aim is to cause the most demand satisfaction cost subject to her budgetary limitation. Subsequently, the defender tries to optimize the objective function which is similar to the attacker’s one but in the opposite direction. The defender is responsible for choosing the least cost strategy in order to satisfy all customers’ demand. She can achieve this goal by two ways: (1) allocating their demand to the hierarchical facilities subject to their residual capacity, (2) benefiting from outsourcing option. This problem can be regarded as a static Stackelberg game between a malicious interdictor as the leader and a system defender as the follower. In this paper we propose a bi-level mathematical formulation in order to model the problem. To solve this problem with exhaustive enumeration, CPLEX has been used.
B. Zahiri; M. Mousazadeh; A. Bozorgi-Amiri
Volume 3, Issue 2 , Spring 2014, , Pages 1-11
Abstract
Blood supply chain network design isanessentialpart of the total blood management systems.In this paper, a mixed integer non-linear programming (MINLP) model for the concerned problem is developed. Optimizing the facility location and flows between each echelon of the considered supply chain is our main ...
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Blood supply chain network design isanessentialpart of the total blood management systems.In this paper, a mixed integer non-linear programming (MINLP) model for the concerned problem is developed. Optimizing the facility location and flows between each echelon of the considered supply chain is our main focus in this study. Also, in order to handle uncertain nature of model parameters, a mix robust stochastic programming approach is applied to the model. Finally, to test the applicability of the proposed model, a numerical example is proposed using random generated data and then sensitivity analysis is done on a model parameter which play a rolein making trade-off between model robustness and optimality robustness.
H. Golpira
Volume 3, Issue 3 , Summer 2014, , Pages 1-12
Abstract
In this paper, the fuzzy technique of order performance by similarity to ideal solution (FTOPSIS) is employed to evaluate some well-known project management standards (PMSs) based on the criteria introduced by European foundation for quality management model (EFQM) to have a new framework to compare ...
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In this paper, the fuzzy technique of order performance by similarity to ideal solution (FTOPSIS) is employed to evaluate some well-known project management standards (PMSs) based on the criteria introduced by European foundation for quality management model (EFQM) to have a new framework to compare standards as a new comprehensive method. To do this end, a brief review on some of the PMSs is introduced based on their frameworks, concepts and critical areas. The crucial index are extracted based on the EFQM model areas and because of multiplicity of the criteria, the TOPSIS is employed to assess the standards. In addition, fuzzy logic is applied to encounter with the vagueness of judgment about the coverage level of each PMS in each of the nine basic criteria of the EFQM model in order to evaluate them. Computational results which are shown in the following sections indicate the applicability and usefulness of the method.
N. Shahsavari pour; M.H. Abolhasani Ashkezari; H. Sheikhi; H. Mohammadi Andargoli; H. Abolhasani Ashkezari
Volume 3, Issue 4 , Autumn 2014, , Pages 1-12
Abstract
Various procedures, methods, constraints and objectives are studied in a flow shop problem during the past decades. In order to adapt the problem to the reality form, its parameters are considered as a fuzzy model. In this problem, we consider the processing time as the trapezoidal fuzzy numbers. The ...
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Various procedures, methods, constraints and objectives are studied in a flow shop problem during the past decades. In order to adapt the problem to the reality form, its parameters are considered as a fuzzy model. In this problem, we consider the processing time as the trapezoidal fuzzy numbers. The purpose of this problem is to find an optimum sequence in a way that the makespan or the completing time of jobs to be minimized. In order to solve this problem, in this paper, the Random-Elitist Genetic Algorithm (REGA) is presented in this regard. Observing the performance and the efficiency of this algorithm, we code it by the VBA and compare with the other results. We first test the performance of different crossover operators for our algorithm. Next, using a specific example, we examine the performance of our algorithm. The results indicated that due to very good searching; this algorithm has the good performance in finding the optimal solution and reaching the optimum solution in a very short time.
Fuzzy optimization
M. M. Tavakoli; B. Molavi; H. Shirouyehzad
Abstract
In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance ...
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In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance of human capital management, by evaluating the performance of human capital management system, managers can be aware of their organization’s status from the perspective of human capital management creation and perform corrective practices better. In this study, a method for the performance evaluation and ranking of organizational unit is presented using fuzzy DEA. Therefore in the beginning, the performance of organizational units was evaluated using fuzzy DEA and then with the use of sensitivity analysis, the most effective criteria on the efficiency of organizational units were determined. Then using the efficiency of organizational units in the best and the worst states, ranking of organizational units has been paid. Finally to examine the functionality of the proposed method, Foolad Technic Company has been chosen as a case study and the procedure has been implemented in this company.
Decision analysis and methods
B. Nikjo; J. Rezaeian; N. Javadian
Abstract
The Problem of selecting the best player among other good ones is an important issue in the world of sport. Player selection is a big challenge in all types of clubs, involving multiple criteria that should be evaluated simultaneously. Therefore, an appropriate decision approach for player's selection ...
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The Problem of selecting the best player among other good ones is an important issue in the world of sport. Player selection is a big challenge in all types of clubs, involving multiple criteria that should be evaluated simultaneously. Therefore, an appropriate decision approach for player's selection is required. The goal of this research is to present a new model for clubs' head coaches and managers that consider experts' votes and making a good decision. Thus, this paper considers an approach based on WeFA framework and Multiple Criteria Decision Making (MCDM) methods in Multiple Attribute Group Decision Making (MAGDM) problems for the challenge of best player selection where, important criteria and experts' vote is received by using WeFA. Analytic Hierarchy Process method (AHP) is used for determining the Weight of each criterion. Extended TOPSIS and its application in MAGDM are applied for weighting to decision makers (DMs) and ranking of alternatives. This research can be useful as a practical and scientific framework for managers and head coaches of clubs all around the world. Finally, a numerical example is evaluated to illustrate the proposed methodology.
Supply chain management
S. Tunali; G. Oztuzcu
Abstract
Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in ...
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Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in two phases: The first phase involves selecting suppliers and distributors by using Data Envelopment Analysis (DEA) and integer-programming model. In the second phase, first the priority ranking of selected suppliers and distributors is determined using the Analytical Hierarchy Process (AHP) and then these priority rankings are integrated into the transportation models developed to identify the optimal routing decisions for all members of the supply chain.
Operations Research
M. Rabbani; A. H. Khezri; H. Farrokhi-Asl; S. Aghamohamadi-Bosjin
Abstract
In recent years, robots have been an eminent solution for manufacturers to facilitate their process and focus on a variety of their products. As the importance of robot usages, our paper focuses on the robotics assembly line. In this paper, we have considered the cycle time, robot operational costs, ...
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In recent years, robots have been an eminent solution for manufacturers to facilitate their process and focus on a variety of their products. As the importance of robot usages, our paper focuses on the robotics assembly line. In this paper, we have considered the cycle time, robot operational costs, robot purchase costs, and robot energy consumptions. In the following, we add robot failure rates to have an efficient and high-quality assembly line. The presented model is a multi-objective problem, therefore, the linear programming methods as goal programming and augmented ε-constraint method are applied to optimize the problem. In the end, we have considered a case study to examine and show the applicability of the proposed model on the real situation.
Computational Intelligence
L. Kanagasabai
Abstract
This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its ...
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This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its most excellent location inside the group, when the food source is not rationalized then the group will start probing in different directions for the food sources. Two most important control parameters are Global Leader Limit (GLlimit) and Local Leader Limit (LLlimit) which give appropriate way to global and local leaders correspondingly. Levy flight has been intermingled in the algorithm to enhance the search ability. Proposed AMOA accelerates the exploitation ability that has been tested in standard IEEE 14, 30, 57,118,300 bus test systems. The simulation results show the projected algorithm reduced the real power loss comprehensively.
Facility location, layout, design, and materials handling
N. Moradi; Sh. Shadrokh
Abstract
Construction Site Layout Planning (CSLP) is an important problem because of its impact on time, cost, productivity, and safety of the projects. In this paper, CSLP is formulated by the Quadratic Assignment Problem (QAP). At first, two case studies including equal and un-equal area facilities are solved ...
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Construction Site Layout Planning (CSLP) is an important problem because of its impact on time, cost, productivity, and safety of the projects. In this paper, CSLP is formulated by the Quadratic Assignment Problem (QAP). At first, two case studies including equal and un-equal area facilities are solved by the simulated annealing optimization algorithm. Then, the obtained results are compared with the other papers. The comparisons show that the proposed Simulated Annealing (SA) is as efficient as ACO, PSO, CBO, ECBO, WOA, WOA-CBO, and ACO-PA which have been proposed by other papers for the same problems. As a result, the comparisons show that SA is as capable as other meta-heuristics of solving the combinatorial optimization problems like CSLP, while the hardware properties and computational times have been compared. Besides the comparisons, the design of experiments shows the relationship between each SA parameter and the computational time of the algorithm. Also, the history of convergence of the proposed SA indicates the high speed of reaching the optimal solution and the artificial intelligence of the proposed SA.
Case studies in industry and services
S. M. Arabzad; M. Ghorbani; M. J. Ranjbar
Abstract
This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation alternatives and multiple customer zones. The problem ...
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This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation alternatives and multiple customer zones. The problem is to determine a number and capacity level of plants, allocation of customers demand, and selection and order allocation of suppliers. A multi-objective mixed-integer linear programming (MOMILP) is presented with two conflicting objectives simultaneously. The first objective is to minimize the total costs of a supply chain including raw material costs, transportation costs and establishment costs of plants. The second objective function aims to minimize the total deterioration rate occurred by transportation alternatives. Finally, by applying the fuzzy goal programming, the model is solved as a single objective mixed-integer programming model. An experiment study shows that the proposed procedure can provide a promising result to design an efficient supply chain.
Machine Learning
H. Herunde; A. Singh; H. Deshpande; P. Shetty
Abstract
Nowadays, the control of the traffic in the urban roads and in the highway has been a big challenge as the number of increase in the auto mobiles. So to overcome this problem we use the detection and tracking the vehicles using the traffic surveillance system. We can manage and control the traffic more ...
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Nowadays, the control of the traffic in the urban roads and in the highway has been a big challenge as the number of increase in the auto mobiles. So to overcome this problem we use the detection and tracking the vehicles using the traffic surveillance system. We can manage and control the traffic more easily. It is very complicated and a challenging task to identify the vehicle or a moving object in a complex environment with various background. The ratio detected of such algorithms depends on the quality of the foreground mask generated. Therefore this project is to present the detection and tracking the vehicles and the pedestrians in an efficient method which focus on trajectory motion of the vehicles and the pedestrians. In this proposed method, the pixels in the background are preserved which can be cars, bikes, buses, pedestrian, etc., the rest is discarded as the noise. Hence, our proposed method detects the vehicles and the pedestrians as mentioned and discards the rest noise as well in the same time. Here the quality of the generated foreground mask is more to increase the detection ratio. The performance is compared with other standard methods qualitatively and quantitatively.
Other
Sh. Weng; Y. Zhang; D. P. Wu
Abstract
The research of Fixed Point Theorems (FPTs) plays an important role in nonlinear analysis. It is of great theoretical significance and profound application value to study general abstract theory in a B-Metric-Like Space (BMLS). So, it is an important topic to study the Fixed Point Theory (FPT) in a BMLS. ...
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The research of Fixed Point Theorems (FPTs) plays an important role in nonlinear analysis. It is of great theoretical significance and profound application value to study general abstract theory in a B-Metric-Like Space (BMLS). So, it is an important topic to study the Fixed Point Theory (FPT) in a BMLS. In this paper, for the purpose of introducing some new FPTs, a -type Lipschitz Cyclic Mapping (LTLCM) is first proposed by us in a complete BMLS, and we proved the existence theorem of fixed points of -type Lipschitz Cyclic Mappings (LTLCMs) in complete BLMS. Next, we also construct an example in a discrete complete BMLS to show and illustrate the effectiveness of . In the end, on the basis of the example, we show the calculation of the range of the parameter s that appears in B-Metric-Like Spaces (BMLSs). Our main theorems extend and develop existing results in the recent literature.
Engineering Optimization
C. L. Karmaker
Abstract
Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant. In order to minimize forecasting errors, choosing an appropriate value of smoothing ...
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Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant. In order to minimize forecasting errors, choosing an appropriate value of smoothing constant is very crucial. In this study, a framework is developed for the selection of optimal value of smoothing constant that minimizes a measure of forecast errors like mean square error (MSE) and mean absolute deviation (MAD). Both “trial & error” and Excel based non-linear optimizer (“Excel Solver”) are used for this purpose. To validate the proposed model, necessary demand data of Ruchi Jhal Muri from years 2010-2016 from Square Food & Beverage Ltd. in Mohakhali, Dhaka were collected. The optimum values of smoothing constant under trial & error method are 0.31 and 0.14 for minimum MAD and MSE respectively whereas for excel solver, values are 0.314 and 0.143 with respect to minimum MAD and MSE. Although both methods provide approximately the same results but excel solver is much easier & requires less time for deriving optimum solution. This study will provide an outline for the forecast planners as well as manufacturers to improve the accuracy of exponential forecasting through using Excel Solver for determining the optimum value of smoothing constant.
S. M. Ahmed; T. K. Biswas; C. K. Nundy
Abstract
In this paper, an optimization model for aggregate planning of multi-product and multi-period production system has been formulated. Due to the involvement of too many stakeholders as well as uncertainties, the aggregate production planning sometimes becomes extremely complex in dealing with all relevant ...
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In this paper, an optimization model for aggregate planning of multi-product and multi-period production system has been formulated. Due to the involvement of too many stakeholders as well as uncertainties, the aggregate production planning sometimes becomes extremely complex in dealing with all relevant cost criteria. Most of the existing approaches have focused on minimizing only production related costs, consequently ignored other cost factors, for instance, supply chain related costs. However, these types of other cost factors are greatly affected by aggregate production planning and its mismanagement often results in increased overall costs of the business enterprises. Therefore, the proposed model has attempted to incorporate all the relevant cost factors into the optimization model which are directly or indirectly affected by the aggregate production planning. In addition, the considered supply chain related costs have been segregated into two major categories. While the raw material purchasing, ordering, and inventory costs have been grouped into an upstream category, finished goods inventory, and delivery costs in the downstream category. The most notable differences with the other existing models of aggregate production planning are in the consideration of the cost factors and formulation process in the mathematical model. A real-life industrial case problem is formulated and solved by using a genetic algorithm to demonstrate the applicability and feasibility of the proposed model. The results indicate that the proposed model is capable of solving any type of aggregate production planning efficiently and effectively.
Other
F. Ghassemi Tari; M. Rezapour Niari
Abstract
Multi-criteria sequence dependent setup times scheduling problems exist almost everywhere in real modern manufacturing world environments. Among them, Sequence Dependent Setup Times-Multi-Objective Hybrid Flowshop Scheduling Problem (SDST-MOHFSP) has been an intensifying attention of researchers and ...
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Multi-criteria sequence dependent setup times scheduling problems exist almost everywhere in real modern manufacturing world environments. Among them, Sequence Dependent Setup Times-Multi-Objective Hybrid Flowshop Scheduling Problem (SDST-MOHFSP) has been an intensifying attention of researchers and practitioners in the last three decades. In this paper, we briefly summarized and classified the current standing of SDST-MOHFSP. All publications are categorized regarding the solution methods, as well as the structure of the hybrid flowshop which helps researcher and practitioner to use/modify proper solution algorithm for solving their specific problem. Furthermore, based on the review of the existing papers, the need for future research is recognized. Accordingly, by recognizing the research gaps, a large number of recommendations for further study have been proposed.
Operations Research
M. Rabbani; S. Aghamohamadi; H. Farrokhi-Asl; M. Alavi mofrad
Abstract
In this paper, a new multi-objective time-cost constrained resource availability cost problem is proposed. The mathematical model is aimed to minimize resource availability cost by considering net present value of resource prices in order to evaluate the economic aspects of project to maximize the quality ...
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In this paper, a new multi-objective time-cost constrained resource availability cost problem is proposed. The mathematical model is aimed to minimize resource availability cost by considering net present value of resource prices in order to evaluate the economic aspects of project to maximize the quality of project's resources to satisfy the expectations of stakeholders and to minimize the variation of resource usage during project. Since the problem is NP-hard, to deal with the problem a simulated annealing approach is applied, also to validate our results GAMS software is used in small size test problems. Due to the dependency of SA algorithm to its initial parameters a taghuchi method is used to find the best possible SA parameters combinations to reach near optimum solutions in large size problems.
Engineering Optimization
B. Ejlali; S. F. Bagheri; Kh. Ghaziyani
Abstract
Disaster relief logistics is considered to be one of the major activities in disaster management. This research studies response phase of the disaster management cycle. To do so, a multi-purpose integrated model for a three-level relief cycle logistics is provided under an uncertainty condition and on ...
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Disaster relief logistics is considered to be one of the major activities in disaster management. This research studies response phase of the disaster management cycle. To do so, a multi-purpose integrated model for a three-level relief cycle logistics is provided under an uncertainty condition and on a periodic basis. In this model, inventory transfer, vehicle routing, distribution and sending relief goods are modeled on a periodic basis. In addition, in order to solve the proposed mathematical model, ultra-initiative particles swarm algorithm in combination with variable neighborhood search based on Pareto archive is proposed. To prove the efficiency of the proposed particles swarm algorithm, several sample problems are randomly selected considering the solved problems in the literature and are solved by particles swarm algorithm. These problems are also solved by genetic algorithm and the results obtained from these two algorithms are compared in terms of quality, dispersion and integrity indices. The results show that compared to genetic algorithm, particles swarm algorithm is more capable of producing more integrated, qualified and dispersed responses. Moreover, the results show that the solution time of genetic algorithm is less than that of the proposed algorithm.