Inventory Management in Multi-Product Lean Manufacturing Environments - Kunik, Josef
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The aim of this project is to analyse and compare the performances of inventory management policies in multi-product lean manufacturing environments. The creation of hybrid Kanban - CONWIP models is extremely popular in the field of operations research. This project undertakes the analysis of newly created BK-CONWIP D-KAP and BK-CONWIP S-KAP models against the HK-CONWIP model and tests the influence of the decoupling of demand signals and production authorization. The analysis of the models is done through both the built in algorithm of ExtendSim 8 and a multi-objective genetic algorithm. In…mehr

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Produktbeschreibung
The aim of this project is to analyse and compare the performances of inventory management policies in multi-product lean manufacturing environments. The creation of hybrid Kanban - CONWIP models is extremely popular in the field of operations research. This project undertakes the analysis of newly created BK-CONWIP D-KAP and BK-CONWIP S-KAP models against the HK-CONWIP model and tests the influence of the decoupling of demand signals and production authorization. The analysis of the models is done through both the built in algorithm of ExtendSim 8 and a multi-objective genetic algorithm. In order to ensure accuracy of the results, the performance of these algorithms is compared along with sensitivity analysis of the multi-objective genetic algorithm. The project also contains an ethics section on production simulation.
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Autorenporträt
Josef Kunik is a graduate of the Manufacturing Engineering with Business Studies degree from Dublin City University. He currently lives in Ireland where he undertakes and helps various entrepreneurial projects.