文章基本信息

标题：Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods
本地全文：下载
作者：Hasan Aghdaie, Mohammad ; Hashemkhani Zolfani, Sarfaraz ; Zavadskas, Edmundas Kazimieras 等
期刊名称：Engineering Economics
印刷版ISSN：2029-5839
出版年度：2013
卷号：24
期号：1
页码：5-17
DOI：10.5755/j01.ee.24.1.2822
语种：English
出版社：Kaunas University of Technology
摘要：Machine tools are one of the important parts of manufacturing process that could help company to achieving high competitiveness in the marketplace. In addition, the quality of their outputs depends on their machines and therefore every company should select the best machine by itself. Also, a choice of appropriate machine tool is very significant for a manufacturing company as it helps to reach high productivity and efficiency. Furthermore, market offers variety kind of machines with different brands. Besides, there are many criteria with respect to numerous alternatives that should be considered as part of proper machine tool selection, such as cost, operative flexibility, safety, etc. Consequently selection of machine tool can be regarded as a multiple-attribute decision making (MADM) problem. Generally, MADM methods deal with the process of selection of an alternative among number of different alternatives in the presence of usually conflict objectives and criteria. In this study two MADM methods, step-wise weight assessment ratio analysis (SWARA) and complex proportional assessment of alternatives with grey relations (COPRAS-G), were applied for machine tool evaluation and selection. This model is a hybrid model which integrates two MADM methods for improving the quality and accuracy of the selection. Literature survey was used to identify the most attractive criteria which influence the selection of a machine tool. Eight criteria for evaluation process include cost, operative flexibility, maintainability and service ability, size and physical, compatibility, safety, precision and productivity. More precisely, the first part of the proposed methodology, i.e. SWARA is useful for determining the importance of each criterion and calculating weight of each criterion, while the second part with COPRAS-G is useful for evaluating alternatives more precisely than usual crisp COPRAS and for ranking machine tool alternatives from the best to the worst ones. In evaluation process decision maker has to assess criteria which are not accurate. Grey relation analysis allows incorporating the vague and imprecise information in to the decision model. For illustration of the proposed methodology, a case study was explained in a manufacturing company in Karaj, Iran. This model can help managers to evaluate and select the best machine tool alternative based on own company strategies, resources, policies, etc. for their organization. DOI: http://dx.doi.org/10.5755/j01.ee.24.1.2822
其他摘要：Machine tools are one of the important parts of manufacturing process that could help company to achieving high competitiveness in the marketplace. In addition, the quality of their outputs depends on their machines and therefore every company should select the best machine by itself. Also, a choice of appropriate machine tool is very significant for a manufacturing company as it helps to reach high productivity and efficiency. Furthermore, market offers variety kind of machines with different brands. Besides, there are many criteria with respect to numerous alternatives that should be considered as part of proper machine tool selection, such as cost, operative flexibility, safety, etc. Consequently selection of machine tool can be regarded as a multiple-attribute decision making (MADM) problem. Generally, MADM methods deal with the process of selection of an alternative among number of different alternatives in the presence of usually conflict objectives and criteria. In this study two MADM methods, step-wise weight assessment ratio analysis (SWARA) and complex proportional assessment of alternatives with grey relations (COPRAS-G), were applied for machine tool evaluation and selection. This model is a hybrid model which integrates two MADM methods for improving the quality and accuracy of the selection. Literature survey was used to identify the most attractive criteria which influence the selection of a machine tool. Eight criteria for evaluation process include cost, operative flexibility, maintainability and service ability, size and physical, compatibility, safety, precision and productivity. More precisely, the first part of the proposed methodology, i.e. SWARA is useful for determining the importance of each criterion and calculating weight of each criterion, while the second part with COPRAS-G is useful for evaluating alternatives more precisely than usual crisp COPRAS and for ranking machine tool alternatives from the best to the worst ones. In evaluation process decision maker has to assess criteria which are not accurate. Grey relation analysis allows incorporating the vague and imprecise information in to the decision model. For illustration of the proposed methodology, a case study was explained in a manufacturing company in Karaj, Iran. This model can help managers to evaluate and select the best machine tool alternative based on own company strategies, resources, policies, etc. for their organization.DOI: http://dx.doi.org/10.5755/j01.ee.24.1.2822
关键词：Machine tool selection problem;Multi-attribute decision making;step-wise weight assessment ratio analysis (SWARA);Complex PRoportional ASsessment with Grey relations (COPRAS-G);Mechaninių staklių pasirinkimo problema;Daugiakriterinis sprendimų priėmimas;SWARA;COPRAS-G
其他关键词：Machine tool selection problem; Multi-attribute decision making; step-wise weight assessment ratio analysis (SWARA); Complex PRoportional ASsessment with Grey relations (COPRAS-G)