A new hybrid method for buffer sizing and machine allocation in unreliable production and assembly lines with general distribution time-dependent parameters

This paper proposes a multi-objective mathematical formulation and a hybrid approach to solve buffer sizing and machine allocation problems simultaneously in unreliable production and assembly lines. This paper unlike prior researches assumes that time-dependent parameters of production systems are...

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Vydané v:	International journal of advanced manufacturing technology Ročník 74; číslo 9-12; s. 1577 - 1593
Hlavný autor:	Mohtashami, Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.10.2014 Springer Nature B.V
Predmet:	Assembly lines Buffers CAE) and Design Classification Computer-Aided Engineering (CAD Decision making Engineering Genetic algorithms Industrial and Production Engineering Mathematical models Mechanical Engineering Media Management Multiple objective analysis Original Article Parameters Sizing Sorting algorithms Time dependence Hybrid genetic algorithm (HGA) Buffer storage Simulation Machine Multi-objective mixed binary integer non-linear programming (MOMBINP)
ISSN:	0268-3768, 1433-3015
On-line prístup:	Získať plný text
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