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dc.contributor.authorÖzdemir, Rifat Gürcan
dc.contributor.authorKula, Ufuk
dc.description.abstractIn this study, mixed model assembly line balancing and sub-assembly selection problems are solved jointly. The mixed model assembly line balancing problem requires that tasks are assigned to workstations with balanced workloads. In sub-assembly selection problem, manufacturer determines which components of the products are assembled in sub-assembly area and which ones are assembled on the products directly in the line. Sub-assembly alternatives, task times, precedence relations and other system specific data are input to determine which tasks are assigned to sub-assembly area and which ones are assigned to the line for two conflicting objectives of minimizing cycle time and minimizing total cost. A recursive two stage goal programming approach is developed to solve the above mentioned problem. The developed model is then implemented in a real life automotive manufacturer's assembly line balancing problem.tr_TR
dc.publisherWorld Scientific Publ Co Pte Ltd, Po Box 128 Farrer Rd, Singapore 9128, Singaporetr_TR
dc.relationUncertainty Modeling in Knowledge Engineering And Decision Makingtr_TR
dc.titleMixed Model Assembly Line Balancing With Sub-Assembly Selection in Automotive Industrytr_TR

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