Data Envelopment Analysis
A. Mahmoodi Rad; R. Dehghan; F. Hosseinzadeh Lotfi
Volume 4, Issue 2 , Summer 2012, , Pages 336-353
Abstract
In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.
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In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.
Andrej V. Plotnikov; Tatyana A. Komleva; Lilia I. Plotnikova
Volume 5, Issue 2 , Summer 2013, , Pages 440-450
Abstract
In this article we consider the averaging method for differential inclusions with fuzzy right-hand side for the case when the limit of a method of an average does not exist.
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In this article we consider the averaging method for differential inclusions with fuzzy right-hand side for the case when the limit of a method of an average does not exist.
Operation Research
Ali Sharifi; Mahdi Homayounfar
Volume 8, Issue 1 , Spring 2016, , Pages 47-58
Abstract
The rapid development of Internet and electronic businesses have stimulated the banking sector towards encouraging customers to internet banking (IB), However, the evidence indicates a lack of interest in the use of IB services. Therefore, this paper aims to identify affecting factors on customer adoption ...
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The rapid development of Internet and electronic businesses have stimulated the banking sector towards encouraging customers to internet banking (IB), However, the evidence indicates a lack of interest in the use of IB services. Therefore, this paper aims to identify affecting factors on customer adoption from IB and measure the influence of each factor on IB adoption. Based on an explorative literature review, numbers of factors were considered as affecting factors on customer adoption of IB. Then, these factors were sent to a sample of IB customers in form of a questionnaire. Having collected the filled questionnaires and based on a statistical test, the more important factors explored among all. Hence, many of these factors have relationship with each others; a graph theory based technique (DEMATEL) with feedback structure is used to explore the direct and indirect effects of factors on the other factors and the whole system. The results indicate that: responsiveness (effective handling of problems), accessibility to IB services (hardware necessities), speed of network, ease of use and no need to physical attendance in bank branch, respectively, are the most critical factors.
Strategic Management
Reza Aghajan Nashtaei; Ebrahim Chirani; Mehrdad GoudarzvandChegini
Volume 11, Issue 1 , Spring 2019, , Pages 57-65
Abstract
In real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variables are net financing and equity ...
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In real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variables are net financing and equity ratio. Also, control variables of the research includes assets growth, company’s size and company’s age. In this research, the hypotheses have been tested using the financial statements of 178 industrial companies accepted in Tehran Stock Exchange over the 2012-2016 period and also regression models with panel data. The results indicate a positive correlation between external financing, in both net and composition cases, with abnormal stock returns and also a negative correlation between external financing –again in both net and composition cases- with abnormal stock returns in the stock model. In addition, when we use net and composition financing simultaneously, there is not a significant relationship between net and composition finiancing and abnormal stock returns.
Maryam Ameli; Reza Aghajan Nashtaei
Volume 10, Issue 1 , Spring 2018, , Pages 67-74
Abstract
Nowadays, one of the most important topics in risk management of banks, financial, and credit institutions is credit risk management. In this research, the researchers used survival analytic methods for credit risk modeling in terms of the conditional distribution function of default time. As a practical ...
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Nowadays, one of the most important topics in risk management of banks, financial, and credit institutions is credit risk management. In this research, the researchers used survival analytic methods for credit risk modeling in terms of the conditional distribution function of default time. As a practical task, the authors considered the reward credit portfolio of Tose'e Ta'avon Bank of Guilan Province and estimate the bank’s probability of default based on the survival analysis method. In order to analyze and verify the research hypothesis, firstly, the researcher estimated the survival analysis, survival function, and then the value of the probability of default function by three parametric, semi-parametric (proportional hazards model), and non-parametric methods. Finally, the author compared these three methods by using the ROC method. In order to analyze data, SPSS, SAS, R, and Minitab softwares were used. The results revealed that the parametric model was better and more suitable than the other models. After the parametric model, it was observed that, the semi-parametric model (proportional hazards model) and then the non-parametric model proved to be the best models. The results of this research suggest using rating or credit score in banks, because, in addition to the proper management of allocation of facility to customers, using a credit score as an explanatory variable can result in more efficient and more accurate estimations of default probability.
Mojtaba Roshani Delivand; seyed mahmood Shabgoo monsef
Volume 12, Issue 1 , Spring 2020, , Pages 73-82
Abstract
The purpose of this study was to evaluate the effect of environmental performance mediator role on the effect of green supply chain management on export performance of exporting companies in Guilan province. The purpose of the study is applied and descriptive - survey type. The statistical population ...
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The purpose of this study was to evaluate the effect of environmental performance mediator role on the effect of green supply chain management on export performance of exporting companies in Guilan province. The purpose of the study is applied and descriptive - survey type. The statistical population of the study consisted of the selected exporting companies in Guilan province in the year 1977. The data collection tool was a standard questionnaire whose validity was confirmed by content validity and its reliability by Cronbach's alpha test. Structural equation modeling based on partial least squares approach was used for data analysis by Smart PLS3 statistical software. The findings showed that green supply chain management has a positive and significant effect on environmental performance and export performance of exporting companies in Guilan province. The impact of environmental performance on export performance of exporting companies was also confirmed. The mediating role of environmental performance on the impact of green supply chain management on export performance of exporting companies of Guilan province was also proved. Overall, it can be said that by improving environmental performance, the impact of green supply chain management on the export performance of exporting companies in Guilan province will improve.
Numerical Analysis
Mousa Ilie; Jafar Biazar; Zainab Ayati
Volume 9, Issue 2 , Autumn 2017, , Pages 79-83
Abstract
Obtaining analytical or numerical solution of fractional differential equations is one of the troublesome and challenging issue among mathematicians and engineers, specifically in recent years. The purpose of this paper Lie Symmetry method is developed to solve second-order fractional differential equations, ...
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Obtaining analytical or numerical solution of fractional differential equations is one of the troublesome and challenging issue among mathematicians and engineers, specifically in recent years. The purpose of this paper Lie Symmetry method is developed to solve second-order fractional differential equations, based on conformable fractional derivative. Some numerical examples are presented to illustrate the proposed approach.
Numerical Analysis
Kazeem Issa; Jafar Biazar; Babatunde Morufu Yisa
Volume 11, Issue 2 , Autumn 2019, , Pages 149-159
Abstract
The main idea proposed in this paper is the perturbed shifted Chebyshev Galerkin method for the solutions of delay Fredholm and Volterra integrodifferential equations. The application of the proposed method is also extended to the solutions of integro-differential difference equations. The method ...
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The main idea proposed in this paper is the perturbed shifted Chebyshev Galerkin method for the solutions of delay Fredholm and Volterra integrodifferential equations. The application of the proposed method is also extended to the solutions of integro-differential difference equations. The method is validated using some selected problems from the literature. In all the problems that are considered, the new proposed approach performs better than many other methods.
Data Envelopment Analysis
M. Sanei; S. Mamizadeh-Chatghayeh
Volume 4, Issue 2 , Summer 2012, , Pages 354-360
Abstract
Modern manufacturing enterprises are required to collaborate by their business partners through their business process operations such as design, manufacture, distribution, and aftersales services. And furthermore performance evaluation is of great importance for effective supply chain ...
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Modern manufacturing enterprises are required to collaborate by their business partners through their business process operations such as design, manufacture, distribution, and aftersales services. And furthermore performance evaluation is of great importance for effective supply chain man agement. Therefore, DEA can help companies to remove some of the in efficiencies in operational processes in order to become more effective. The current paper develops one approach for determining the DEA projections for inefficient supply chains. Meanwhile this approach aims at providing an easy, efficient and more practical approach based on the performance evaluation for the multi-member supply chain. And ultimately, this model is illustrated by an numerical example of Chinese commercial bank, and case study application to provide of machine-making supply chain.
H. Saberi-Nik; S. Effati; R. Buzhabadi
Volume 5, Issue 2 , Summer 2013, , Pages 451-466
Abstract
In this paper, we give an analytical approximate solution for an integro- differential equation which describes the charged particle motion for certain configurations of oscillating magnetic fields is considered. The homotopy analysis method (HAM) is used for solving this equation. Several examples are ...
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In this paper, we give an analytical approximate solution for an integro- differential equation which describes the charged particle motion for certain configurations of oscillating magnetic fields is considered. The homotopy analysis method (HAM) is used for solving this equation. Several examples are given to reconfirm the efficiency of these algorithms. The results of applying this procedure to the integro-differential equation with time-periodic coefficients show the high accuracy, simplicity and efficiency of this method.
N. A. Taghi-Nezhad; Fatemeh Taleshian; M. Shahini
Volume 11, Issue 1 , Spring 2019, , Pages 67-75
Abstract
This paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based ...
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This paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based on this method each IQP problem is reduced to two classical Quadratic Programming (QP) problems. Afterwards these classical problems are solved using the SQP algorithm and the numerical results are presented.
Numerical Analysis
Babatunde Morufu Yisa
Volume 12, Issue 1 , Spring 2020, , Pages 83-90
Abstract
Adomian decomposition method and He’s variational Iteration method are applied to nonlinear oscillator problems that involve conservative type of oscillators. The methods proved to be effective for the general and specific cases due to their algorithms that admit nonlinear terms in the problems. ...
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Adomian decomposition method and He’s variational Iteration method are applied to nonlinear oscillator problems that involve conservative type of oscillators. The methods proved to be effective for the general and specific cases due to their algorithms that admit nonlinear terms in the problems. The two methods are tested on some specific problems in the literature, and the results obtained compared favourably with those obtained via the use of Energy balance method.
Data Envelopment Analysis
Kambiz Shahroodi; Mohammad Reza Khosravi
Volume 9, Issue 2 , Autumn 2017, , Pages 85-92
Abstract
This study is an applied study conducted to evaluate and compare the efficiency of Iran's regional power companies using conventional and network Data Envelopment Analysis methods. Iran's regional power companies use two- phased process to transmit power. Using applied approach, the performance and efficiency ...
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This study is an applied study conducted to evaluate and compare the efficiency of Iran's regional power companies using conventional and network Data Envelopment Analysis methods. Iran's regional power companies use two- phased process to transmit power. Using applied approach, the performance and efficiency of these companies were measured with network and conventional methods, and they were compared with each other (input-oriented BCC). It was indicated that network models have wider application compared with other method since it provides vivid picture of the efficiency of regional power companies. The Wilcoxon test result shows there is significant difference between efficiency scores of Iran's regional power companies using BCC and network methods, and investigation of the quality of difference of scores also indicate that efficiency of companies in the network model is lower than efficiency scores of BCC model. In general, network models have higher application than to provide a vivid picture of the efficiency of regional electricity companies and more accurate comparison of them.
Strategic Management
Reza Khezrdoust; Narges Delafrouz
Volume 12, Issue 1 , Spring 2020, , Pages 91-101
Abstract
The purpose of this study was to investigate and evaluate the factors affecting the failure of strategic management in large companies. The research is an applied and descriptive-survey target. The statistical population of the study consisted of all experts and experts of the telecommunication company, ...
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The purpose of this study was to investigate and evaluate the factors affecting the failure of strategic management in large companies. The research is an applied and descriptive-survey target. The statistical population of the study consisted of all experts and experts of the telecommunication company, which numbered 191 people. In total, 191 persons were selected as sample. The data gathering tool was a researcher-made questionnaire whose reliability was confirmed by Cronbach's alpha and its validity was verified by face validity. In order to analyze the data in the descriptive statistics section, statistical software SPSS23 was used and in inferential statistics, Structural Equation Modeling was applied using Lisrel 8.80 statistical software. The research findings showed that factors such as: rapid change of conditions and inability to manage change, imbalance between current business and the strategy of informal groups, lack of correct identification of bottleneck, lack of key competencies, attachment to past strategy, inappropriate communication of the program with The prospect, lack of laws and mechanisms for identifying and solving executive problems, and inadequate training and guidance are among the most important factors affecting the failure of strategic management in the telecommunications company. Among the known factors, the greatest effect on the failure to properly identify the throat is 0.44 It should be. Accordingly, strengthening the skills of strategic managers and planners in identifying organizational bottlenecks and barriers is essential.
Operation Research
Asmaeil Ebrahimzadeh Kooykhi; Gholamhossen Ekbatanifard
Volume 10, Issue 2 , Autumn 2018, , Pages 151-164
Abstract
Traffic flow systems are nonlinear and uncertain, so it is very difficult to find their optimal points. In traditional traffic control systems, the traffic lights of crossings change in a fixed time period that is not optimal. On the other hand, most proposed systems are sufficiently capable of coping ...
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Traffic flow systems are nonlinear and uncertain, so it is very difficult to find their optimal points. In traditional traffic control systems, the traffic lights of crossings change in a fixed time period that is not optimal. On the other hand, most proposed systems are sufficiently capable of coping with the uncertainties of traffic flow. To solve this problem, there is a need to develop expert systems that can manage the traffic flow of intersections in terms of its actual conditions in a normal and emergency situation. This paper introduces an optimal dynamic and smart eight-phase traffic light control system using fuzzy controllers in which the capability of fuzzy systems with human-like decision-making process is exploited. This algorithm reduces the waiting time of the vehicles in intersection queues and in traffic congestion by the strategy of optimal green light durations and dynamic phasing based on the lanes with heavier traffic and the critical conditions like the entrance of emergency vehicles into the intersection. At the same time, it keeps the simplicity and avoids computational complexity. This method is simulated for an isolated intersection based on the traffic feature and the random data input rate to determine the dynamic timing of the traffic light and optimal phases with the smart fuzzy method using MATLAB Software Package (Matlab, 2013). This approach assessed the proposed method of intersection traffic control in terms of efficiency and traffic density against the constant-timing system and four-phase system proposed by some researchers. The results show that the proposed method can be effective in improving intersection traffic control systems.
Strategic Management
Soheila Mazloum Vajari; Iravan Masoudi Asl; Kamran Hajinabi; Leila Riahi
Volume 11, Issue 2 , Autumn 2019, , Pages 161-176
Abstract
Since no organization can have unlimited resources, strategists should decide on a strategy that can provide the greatest benefits to the organization. Decisions on strategy formulation commit the organization to produce specific products, work in specific markets, and exploit certain resources and technologies ...
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Since no organization can have unlimited resources, strategists should decide on a strategy that can provide the greatest benefits to the organization. Decisions on strategy formulation commit the organization to produce specific products, work in specific markets, and exploit certain resources and technologies for a relatively long time. Strategies dictate the long-term competitive advantages of an organization. Either good or bad, strategic decisions have multifaceted results and long-lasting consequences for organizations. So, organizations should adopt optimal strategies to move in the right direction and avoid irreparable losses. This planning calls for an optimal model of strategy formulation so that the strategists of organizations can formulate a strategy for their respected organizations readily and accurately. The present study presents a composite approach to organizational strategy formulation.
Strategic Management
Amir Soltanalizadeh; Seyyed Mahmoud Shabgoo Monsef
Volume 9, Issue 2 , Autumn 2017, , Pages 93-105
Abstract
The process of globalization and rapid technological developments are causing rapid changes in markets. Successfully in challenging markets of the future requires an informed and ready to respond quickly. The aim of this study is to evaluate and prioritize the organizational strategies of sales and distribution ...
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The process of globalization and rapid technological developments are causing rapid changes in markets. Successfully in challenging markets of the future requires an informed and ready to respond quickly. The aim of this study is to evaluate and prioritize the organizational strategies of sales and distribution of Kalleh Company in Gilan. In order to analyze the strengths, weaknesses, opportunities and threats of the organization, SOWT matrix was used. The matrix was developed four strategies based on internal and external factors. Since then devise strategies using multi-criteria decision-making Method (topsis) were prioritized. Data collection was done through the study of documents, records, interviews and distributed two questionnaires. Accordingly, the two strategies that prioritize the strategies than they value large quantity include: Firstlly organization must maintain high quality products with full implementation of the cold chain process and products to provide the market with better quality compared to the products of competitors. The second priority of the organization the miniature capillary marketing and focus on the performance of distribution channels and distinction at the time of delivery time with the implementation of this strategy increases the number of new customers and the volume of previous customers.
Operation Research
Reza Babazadeh
Volume 12, Issue 1 , Spring 2020, , Pages 103-113
Abstract
Todays, industries are seeking the ways to improve their competitiveness and responsiveness in order to achieve the most share of markets and customer satisfaction. Optimization of strategic and tactical decisions in a logistics network would improve total performance of the supply chain in a long term ...
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Todays, industries are seeking the ways to improve their competitiveness and responsiveness in order to achieve the most share of markets and customer satisfaction. Optimization of strategic and tactical decisions in a logistics network would improve total performance of the supply chain in a long term planning horizon. This paper presents a Mixed-integer linear programming (MILP) model to optimize logistics networks under real limitations such as demand, capacity, and budget constraints. Due to NP-hard nature of the proposed model a Differential Evolutionary (DE) algorithm is proposed to solve the large sizes of the presented model in reasonable time. Finally, the computational results obtained through the DE algorithm are compared with the solutions obtained by GAMS optimization software. The results reveal that the proposed methodology is an efficient tool to optimize large scale logistics networks.
Meta-heurestics
Gholamreza Azizyan; Farid Miarnaeimi; Mohsen Rashki; Naser Shabakhty
Volume 11, Issue 2 , Autumn 2019, , Pages 177-205
Abstract
This paper provides a novel meta-heuristic optimization algorithm. The behaviors of flying squirrels in the nature are the main inspiration of this research. These behaviors include flying from tree to tree and walking on the ground or on a tree branch to find food. They also contact each other with ...
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This paper provides a novel meta-heuristic optimization algorithm. The behaviors of flying squirrels in the nature are the main inspiration of this research. These behaviors include flying from tree to tree and walking on the ground or on a tree branch to find food. They also contact each other with chirp or squeak. This algorithm is named flying squirrel optimizer (FSO). Two main theories of motion were used for the simulation of flying and walking of the flying squirrels and they are Lévy flight and normal random walk. FSO is also benchmarked on twelve mathematical functions and the answers are compared with MFO, PSO, GSA, BA, FPA, SMS, and FA. The results show that FSO can provide good results when compared with these well-known meta-heuristics approaches. Five classical engineering problems and a real issue in the field of dam engineering were employed to challenge the FSO abilities in solving engineering design problems. The results also show that the proposed FSO algorithm can be used on a wide range of problems with unknown search spaces.
linear Programming
S.M. Mirmohseni; S.H Nasseri
Volume 9, Issue 2 , Autumn 2017, , Pages 107-117
Abstract
In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy constraints are considered. We constitute α-cut approach and two various fuzzy goal programming solution methods for solving the Multi-Objective Project Management (MOPM) decision problem under ...
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In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy constraints are considered. We constitute α-cut approach and two various fuzzy goal programming solution methods for solving the Multi-Objective Project Management (MOPM) decision problem under fuzzy environments. The Interactive fuzzy multi-objective linear programming (i-FMOLP) and Weighted Additive approaches are proposed for solving multi-objective PM decision problem where fuzzy information are demonstrated by using linear membership functions (LMF). The proposed approaches effort contemporarily to minimize the total project costs, total completion time and total crashing costs and the several constraints such as the time between events i and j, the crashing time for activity (i,j) and the total budget capital. The weight of criteria for each objective function base on project DM preference degree computed with Fuzzy AHP technique. The performance analysis calculated with a set of distance metric for i-FMOLP and Weighted Additive solution methods that represent uncertainty goals and constraints in PM decision problem with ideal solution in an industrial case study is compared.
Data Envelopment Analysis
Mohsen Vaez-ghasemi; Zohreh Moghaddas; Hamid Askari; Feloora Valizadeh
Volume 12, Issue 1 , Spring 2020, , Pages 115-137
Abstract
Today, many activities from businesses to engineering design, routing on the Internet, and even routing of foodstuff trucks require programming and optimization. Many of these problems have no determinate solution and cannot be solved easily. To solve these problems, algorithms have been developed inspired ...
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Today, many activities from businesses to engineering design, routing on the Internet, and even routing of foodstuff trucks require programming and optimization. Many of these problems have no determinate solution and cannot be solved easily. To solve these problems, algorithms have been developed inspired by nature based on particle intelligence, biological, physical, and chemical systems, and even human communities and have been named after their inspiration source. A metaheuristic optimization algorithm is an innovative way that can be applied to various optimization problems by slight modifications. These algorithms can improve the capability of finding high-quality answers for difficult optimization problems significantly. The present paper reviews the application of various metaheuristic algorithms and data envelopment analysis (DEA) to optimization problems in the literature published in recent years. Descriptions are provided about the application of metaheuristic algorithms in DEA along with their applications, the field of activity, overlaps, and the integration of these two robust methods to find the optimal answer.
Meta-heurestics
Mohsen Monadi; Mirali Mohammadi; Hamed Taghizadeh
Volume 11, Issue 2 , Autumn 2019, , Pages 207-215
Abstract
This paper applies an evolutionary algorithm, the particle swarm optimization (PSO), to design the optimum open channel section. Depth, channel side slope and bottom width are considered as the variables for rectangular, triangular and trapezoidal channels, respectively. The objective function is minimizing ...
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This paper applies an evolutionary algorithm, the particle swarm optimization (PSO), to design the optimum open channel section. Depth, channel side slope and bottom width are considered as the variables for rectangular, triangular and trapezoidal channels, respectively. The objective function is minimizing the construction cost of the channel section. MATLAB software is used for programming and doing the optimization process. Manning’s uniform flow formula has been used as a constraint for the optimization model. The cost function is included the cost of earthwork, the increment in the cost of earthwork with the depth below the ground surface and the cost of lining. Simple functions of unit cost terms have been used to express the optimum values of section variables. The optimum section variables are obtained for the case of minimum area or minimum wetted perimeter problems. The results of this study showed that the PSO is a robust algorithm to compute the optimum section variables in open channel design.
Data Envelopment Analysis
Saeid Ghobadi
Volume 9, Issue 2 , Autumn 2017, , Pages 119-129
Abstract
The present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs ...
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The present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs and outputs of the DMU increase? This question is considered as a problem of inverse data envelopment analysis, and a method is introduced toanswer this question. Using (weak) pareto solutions of multiple-objective linear programming, necessary and sufficient conditions for inputs and outputs estimation are established.An application of inverse DEA using real data (for choosing a suitable strategy for spreading educational departments in a university) is presented. In addition, two new optimal notions are introduced for multiple-objective programming problems: semi-pareto and semi-weak pareto optimal notions. The aforementioned solutions are used to answer the above question.
Operation Research
Ahmad Hooshmand; Ali Reza Mehrazeen; Ali Reza Davoody; Mohamad Reza Shorvarzi
Volume 11, Issue 2 , Autumn 2019, , Pages 217-227
Abstract
In manufacturing institutes the only access way to maximum profit is identifying the production mix of the products based on the limitations such as policies and politics, demand and production processes. This study identifies the constraints of a tile-manufacturing company including constraints in its ...
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In manufacturing institutes the only access way to maximum profit is identifying the production mix of the products based on the limitations such as policies and politics, demand and production processes. This study identifies the constraints of a tile-manufacturing company including constraints in its production and demand line using LINGO software version 15, and identifying production bottleneck, i.e. furnace, production scheduling was provided and sensitivity analysis was con-ducted on the variables and right hand items. Positive shadow price of furnace shows efficiency of every unit on throughput. Also, in demand constraint, negative shadow price of product 16 shows decreasing effect of increase of every unit on throughput. Allowable increase and decrease of right hand items show allowable increase in furnace section and limitlessness of allowable decrease of product 16. Changes in this range causes that the current basis remains optimal changes in which causes changes in the optimal value of the target function regarding shadow prices.
Meta-heurestics
Nima Moradi
Volume 11, Issue 2 , Autumn 2019, , Pages 229-241
Abstract
Facility layout is one of the most important Operations Management problems due to its direct impact on the financial performance of both private and public firms. Facility layout problem (FLP) with stochastic parameters, unequal area facilities, and grid system modeling is named GSUA-STFLP. This problem ...
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Facility layout is one of the most important Operations Management problems due to its direct impact on the financial performance of both private and public firms. Facility layout problem (FLP) with stochastic parameters, unequal area facilities, and grid system modeling is named GSUA-STFLP. This problem has not been worked in the literature so that to solve GSUA-STFLP is our main contribution. In this paper, we have first presented an integer nonlinear programming model which aims to minimize the cost of material handling. Then, a metaheuristic SA-based algorithm is proposed. Our proposed SA is able to generate feasible solutions by a local search operator to explore and exploit the solution space. Next, problems with different sizes besides the real case study have been solved. The computational results show the capability of the proposed SA to obtain the solutions with high quality in a short time.
