Using analytic hierarchy process to determine process economics in multivariate loss functions

Oezler C., DEVECİ KOCAKOÇ İ., lu A. K. S.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, cilt.46, sa.4, ss.1121-1135, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 4
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1080/00207540600919357
  • Dergi Adı: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1121-1135
  • Anahtar Kelimeler: multivariate loss function, analytic hierarchy process, polymer roofing materials, MULTIPLE QUALITY CHARACTERISTICS, MULTIRESPONSE ROBUST DESIGN, OPTIMIZATION, PRODUCTS, ARRAY
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Performance of a product usually depends on several responses (quality characteristics) which must meet all of the specifications simultaneously. This could be achieved by applying of (the) robust design methodology to problems with multiple characteristics. In the literature, several works have been published concerning multi-response optimization methods, which aim to achieve the best possible robustness. One of the approaches for multi-response optimization is Loss Function Approach which allows the practitioner to include variance-covariance structure of the responses, prediction quality and the economic importance of the responses relevant to the product or process. In this paper, we propose utilizing Analytic Hierarchy Process, a multi-criteria decision making tool, to determine the economic importance matrix in the multivariate loss function. An example of the suggested method is presented on a study conducted for a company producing water proof polymer roofing materials.