Facility location, layout, design, and materials handling
M. S. Rahman; M. I. Ali; U. Hossain; T. K. Mondal
Abstract
In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For ...
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In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For this reason, the plastic manufacturing industries are growing in Bangladesh through the last two eras. This paper might be helpful to select a new location or expansion of the existing one in Bangladesh for the plastic manufacturing company. In this study, we have taken five commercial districts as location and ten criteria for deep consideration from all promising sites of Bangladesh.For this purpose, data has collected through surveying and questionnaires. Then, the Analytic Hierarchy Process (AHP) has used to make a preference measure to select the best location for plastic manufacturing industries. From the comparison value of the composite weight, it can be found that Mongla is the best alternative location for the decision problems.
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.
N. Shahsavari pour; M.H. Abolhasani Ashkezari; H. Sheikhi; H. Mohammadi Andargoli; H. Abolhasani Ashkezari
Volume 3, Issue 4 , December 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.
M. H. Kamfiroozi; A. Bonyadi Naeini
Volume 3, Issue 3 , September 2014, , Pages 13-23
Abstract
An enterprise resource planning (ERP) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. Selection of an ERP is mentioned as a multi-criteria decision making (MCDM) problem. However, several MCDM-models ...
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An enterprise resource planning (ERP) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. Selection of an ERP is mentioned as a multi-criteria decision making (MCDM) problem. However, several MCDM-models are proposed to solve this, but many of them didn't consider uncertainty as an effective environmental factor. In this paper, a new model has designed which used three-parameter interval grey numbers concept that is derived from Grey-theory. These numbers can help for reducing the uncertainty of data. Besides, a combination model for weighting has planned by implementing AHP and Entropy methods that are used in order to reduce uncertainty. And last, a decision making method (Three-parameter grey interval incidence degree method) is used for ranking process. There is a case study at the end of this paper that shows how this model works.