Andere Kunden interessierten sich auch für
![Criticality Spare Parts Inventory Management]( "Criticality Spare Parts Inventory Management")
Criticality Spare Parts Inventory Management56,99 €![Inventory Management using FSN Analysis and Demand Forecasting]( "Inventory Management using FSN Analysis and Demand Forecasting")
Inventory Management using FSN Analysis and Demand Forecasting19,99 €![Analytical Study of Production Inventory in a Manufacturing Industry]( "Analytical Study of Production Inventory in a Manufacturing Industry")
Analytical Study of Production Inventory in a Manufacturing Industry32,99 €![Strategies of Consignment Inventory in Supply Chain]( "Strategies of Consignment Inventory in Supply Chain")
Strategies of Consignment Inventory in Supply Chain36,99 €![Cartography and inventory of the state of unprotected water wells in Yaoundé, Cameroon:]( "Cartography and inventory of the state of unprotected water wells in Yaoundé, Cameroon:")
Cartography and inventory of the state of unprotected water wells in Yaoundé, Cameroon:29,99 €![Production Planning and Control]( "Production Planning and Control")
Production Planning and Control46,99 €![Modification and Analysis of APIOBPCS Model using Inventory Control]( "Modification and Analysis of APIOBPCS Model using Inventory Control")
Modification and Analysis of APIOBPCS Model using Inventory Control23,99 €
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.