A possibilistic aggregate production planning model for brass casting industry

SAKALLI Ü. S., BAYKOÇ Ö. F., BİRGÖREN B.

PRODUCTION PLANNING & CONTROL, cilt.21, sa.3, ss.319-338, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1080/09537280903449438
  • Dergi Adı: PRODUCTION PLANNING & CONTROL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.319-338
  • Anahtar Kelimeler: blending, possibilistic programming, aggregate production planning, brass casting, LINEAR-PROGRAMMING PROBLEMS, FORMULATION, UNCERTAINTY, COST
  • Gazi Üniversitesi Adresli: Evet

Özet

This article discusses a possibilistic aggregate production planning (APP) model for blending problem in a brass factory; the problem computing optimal amounts of raw materials for the total production of several types of brass in a planning period. The model basically has a multi-blend model formulation in which demand quantities, percentages of the ingredient in some raw materials, cost coefficients, minimum and maximum procurement amounts are all imprecise and have triangular possibility distributions. A mathematical model and a solution algorithm are proposed for solving this model. In the proposed model, the Lai and Hwang's fuzzy ranking concept is relaxed by using 'Either-or' constraints. An application of the brass casting APP model to a brass factory demonstrates that the proposed model successfully solves the multi-blend problem for brass casting and determines the optimal raw material purchasing policies.