Performance Evaluation in Aggregate Production Planning by Integrated Approach of DEA and MADM under Uncertain Condition

  • سال انتشار: 1396
  • محل انتشار: سومین کنفرانس بین المللی مهندسی صنایع و سیستم­ها (ICISE ۲۰۱۷)
  • کد COI اختصاصی: ICISE03_024
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 623
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نویسندگان

Javad Khalili

Msc. Student, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran

Alireza Alinezhad

Corresponding Author - Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran

چکیده

Today, increasing of competition betweencompanies and manufacturing centers, increasingefficiency of production and determining tools andmethods of performance evaluation are the biggestchallenges facing managers. Performance evaluationin production planning as the basic pillar of anymanufacturing set can be achieved the ideal levelof production. In the aggregate production planning(APP) as one of the production planning categories, dueto planning for producing the products family and usingthe common resources, with the aim of reducing waste ofresources, performance evaluation is very important. Thispurpose of this study is performance evaluating ofaggregate production planning. In this regard, the optimalvalues by using multi objective fuzzy aggregateproduction planning (FAPP) model and weights of inputand output criteria for performance evaluation by usingthe new step-wise weight assessment ratio analysis(SWARA) method have been determined and efficiencyof decision making units by using the ratio efficiencydominance (RED) model have been determined anddecision making units have been ranked. In the casestudy is related to production of XU7 engine parts bySAPCO and subsidiaries, the efficiency of decisionmakingunits have been determined and ranked. Theresults show that the proposed model has greater accurateand power to detect in determining efficiency incomparison with previous models, and it helps tomanagers for better decisions to increasing efficiency andreducing waste of resources.

کلیدواژه ها

Performance Evaluation, Aggregate Production Planning, SWARA Method, RED Model, Fuzzy Logic

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