Application of preference selection index method for decision making over the design stage of production system life cycle

被引:56
作者
Attri, Rajesh [1 ]
Grover, Sandeep [1 ]
机构
[1] Department of Mechanical Engineering, YMCA University of Science and Technology, Sector – 6, Faridabad, 121006, Haryana
关键词
Decision making; MCDM; Production system life cycle; PSI method; Ranking;
D O I
10.1016/j.jksues.2013.06.003
中图分类号
学科分类号
摘要
The life cycle of production system shows the progress of production system from the inception to the termination of the system. During each stage, mainly in the design stage, certain strategic decisions have to be taken. These decisions are more complex as the decision makers have to assess a wide range of alternatives based on a set of conflicting criteria. As the decision making process is found to be unstructured, characterized by domain dependent knowledge, there is a need to apply an efficient multi-criteria decision making (MCDM) tool to help the decision makers in making correct decisions. This paper explores the application of a novel MCDM method i.e. Preference selection index (PSI) method to solve various decision-making problems that are generally encountered in the design stage of production system life cycle. To prove the potentiality, applicability and accuracy of PSI method in solving decision making problem during the design stage of production system life cycle, five examples are cited from the literature and are compared with the results obtained by the past researchers. © 2013
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页码:207 / 216
页数:9
相关论文
共 30 条
  • [11] Das S., Chakraborty S., Selection of non-traditional machining processes using analytic network process, J. Manuf. Syst., 30, pp. 41-53, (2011)
  • [12] Groover M.P., Automation, Production Systems and Computer Integrated Manufacturing, (2001)
  • [13] Kosturiak J., Gregor M., Simulation in production system life cycle, Comput. Ind., 38, pp. 159-172, (1999)
  • [14] Kulak O., A decision support system for fuzzy multi-attribute selection of material handling equipments, Expert Syst. Appl., 29, pp. 310-319, (2005)
  • [15] Maniya K., Bhatt M.G., A selection of material using a novel type decision-making method: preference selection index method, Mater. Des., 31, 4, pp. 1785-1789, (2010)
  • [16] Maniya K., Bhatt M.G., An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems, Comput. Ind. Eng., 61, pp. 542-549, (2011)
  • [17] Nakano M., Noritake S., Ohashi T., A life cycle simulation framework for production systems, IFIP International Federation for Information Processing: Lean Business Systems and Beyond, pp. 327-335, (2008)
  • [18] Pandey P.C., Kengpol A., Selection of an automated inspection system using multiattribute decision analysis, Int. J. Prod. Econ., 39, pp. 289-298, (1995)
  • [19] Panneerselvam R., Production and Operations Management, (2010)
  • [20] Preiss K., Patterson R., Field M., The future directions of industrial enterprises, Maynard's Industrial Engineering Handbook, pp. 133-161, (2001)