Multi objective performance analysis: A novel multi-criteria decision making approach for a supply chain
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- 作者：Balaram Deya ; balaramdey1968@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Bipradas Bairagia ; bipradas_bairagi@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author ; Bijan Sarkarb ; bijon_sarkar@email.com" class="auth_mail" title="E-mail the corresponding author ; Subir Kumar Sanyalb ; sanyal_s_k@yhaoo.co.in" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi objective performance analysis (MOPA) ; Modified weight concept ; Analysis of variances ; Sensitivity analysis ; MCDM ; Supply chain
- 刊名：Computers & Industrial Engineering
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：94
- 期：Complete
- 页码：105-124
- 全文大小：1501 K
文摘
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A novel modified weight concept included in algorithm MOPA is unique in nature.
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New concept reduces inherent inaccuracy of weights significantly.
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MOPA can handle subjective and objective attributes; benefit and cost criteria.
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The algorithm MOPA fits itself in the class of applied MCDM techniques.
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ANOVA and SA reveal MOPA as precisely accurate and effective decision making tool.