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Inventory Management in Multi-Product Lean Manufacturing Environments
(Englisch)
Analysis of Hybrid Policies
Josef Kunik

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Autor/Autorin: Kunik Josef

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.
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.
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.


Über den Autor

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.


Klappentext

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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