Joint optimization of quality and cost in brass casting using stochastic programming
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Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
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Yayıncı
Taylor & Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A critical process in brass casting is the blending of pure and scrap materials to satisfy specified metal ratios. The primary focus in such blending problems has always been cost minimization. The optimal blends produced by mathematical models use large amounts of scrap materials, which are cheaper but have high variations in ingredient ratios. This gives rise to quality problems. This study aims at joint optimization of cost and quality. A chance-constrained nonlinear mathematical model is developed for maximizing the minimum process capability level for a fixed cost. Then parametric programming is used to run the model for different costs to produce a Pareto-optimal frontier. An application to data from a brass factory showed that the frontier is highly nonlinear, enabling the decision maker to select a competitive process capability and cost value combination. The proposed approach is applicable to any blending problem in which ingredient amounts have statistical variation.
Açıklama
Birgoren, Burak/0000-0001-9045-6092
Anahtar Kelimeler
Joint optimization, stochastic programming, process capability, brass casting, blending problem
Kaynak
Engineering Optimization
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
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Künye
closedAccess
