Joint optimization of quality and cost in brass casting using stochastic programming

Sakallı, Ümit Sami; Birgören, Burak

doi:10.1080/0305215x.2019.1668933

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…Daha çok hurda malzeme kullanılması harman içeriğindeki belirsizliği artırır, dolayısıyla kaliteyi düşürür. Literatürde harmanlama probleminde kalite üzerine yapılan tek bir çalışma mevcuttur [26]; bu çalışmada karışım maliyeti sabit tutularak karışım içeriğindeki elementlerin cpk süreç yetenek indis değerlerinin ek küçüğü maksimize edilmiştir. Çalışmada karar vericilerin farklı karışım maliyetleri için üretilen Pareto çözüm kümelerinden seçim yapmaları beklenmektedir.…”

Section: Brass Alloy Blending Problem From Quality and Cost Perspectives: A Multi-objective Optimization Approach H I G H L I G H T S unclassified

Kalite ve maliyet perspektiflerinden pirinç alaşımı harmanlama problemi: çok amaçlı bir optimizasyon yaklaşımı

Birgören

Sakallı

2020

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Evaluating quality and cost simultaneously  Multi-objective stochastic mathematical model and fuzzy programming  A solution procedure to implement in real life casting processes Figure A. The framework of the multi-objective blending problemPurpose: In this study we developed a mathematical programming model that aims both cost minimization and quality maximization and a solution procedure for stochastic blending problem in brass casting Theory and Methods:Quality and cost are connected and challenging issues for production systems. Managers aims to improve the product quality and decrease product cost. However, generally, improvements in a product's design quality level cause an increase in the production cost. In many production systems, it is hard to formulate a product's quality as a function in a model. However, in brass casting blending process, it is possible to model the product quality by using process capability indices thanks to the nature of the blending problem. In this study, a multiobjective stochastic mathematical model has been developed which aims to present to the managers a blend with minimum cost at the highest quality level. The stochastic uncertainty has been converted into a deterministic counterpart by using chance-constrained approach. Therefore, the multi-objective stochastic model has been transformed into a multi-objective deterministic nonlinear mathematical model. The multiobjective model has been handled as a single objective model by using fuzzy programming. In order to implement developed model into real life applications, a solution procedure has been proposed. Results:The proposed model and the solution procedure have been tested in a numerical example using data supplied from a brass factory. The solution of the numerical example showed that the proposed model and solution procedure can easily select a blend with minimum cost and maximum process capability level. Conclusion:This study is the first attempt that consider both quality and cost in a model for blending problem. The proposed model and solution approaches can be used in different production processes including a blending problem.

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Section: Brass Alloy Blending Problem From Quality and Cost Perspectives: A Multi-objective Optimization Approach H I G H L I G H T S unclassified

Kalite ve maliyet perspektiflerinden pirinç alaşımı harmanlama problemi: çok amaçlı bir optimizasyon yaklaşımı

Birgören

Sakallı

2020

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

View full text Add to dashboard Cite

show abstract

Joint optimization of quality and cost in brass casting using stochastic programming

Cited by 1 publication

References 19 publications

Kalite ve maliyet perspektiflerinden pirinç alaşımı harmanlama problemi: çok amaçlı bir optimizasyon yaklaşımı

Kalite ve maliyet perspektiflerinden pirinç alaşımı harmanlama problemi: çok amaçlı bir optimizasyon yaklaşımı

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