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Inventory Management in Multi-Product Lean Manufacturing Environments

Josef Kunik

ISBN 10: 3659524395 / ISBN 13: 9783659524394
Published by LAP Lambert Academic Publishing
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Paperback. 104 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783659524394

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Bibliographic Details

Title: Inventory Management in Multi-Product Lean ...

Publisher: LAP Lambert Academic Publishing

Binding: Paperback

Book Condition: New

Book Type: Paperback

About this title

Synopsis:

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.

About the Author:

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.

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