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Managing Uncertainty in Multilevel Manufacturing Systems

Managing Uncertainty in Multilevel Manufacturing Systems The effectiveness of alternative buffering strategies in complexmultilevel assembly manufacturing systems using the Material RequirementPlanning MRP methodology is explored and assessed. The safety stock,safety lead time, hard safety capacity, and forecastinflation buffering strategies are tested under uncertainties ofenditem demand, resource supply, and task control. The MRP methodologyis applied for scheduling along with a complex, realistic simulationmodel for execution of operations. Average inventory levels for end andcomponent items, capacity utilisation, enditem backorders and customerundersupport are used as performance measures. Experimental resultsestablish safety stock and hard safety capacity asdominant buffering strategies under all uncertainty conditions, and taskcontrol is shown as the most disruptive uncertainty source. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Integrated Manufacturing Systems Emerald Publishing

Managing Uncertainty in Multilevel Manufacturing Systems

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0957-6061
DOI
10.1108/EUM0000000002081
Publisher site
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Abstract

The effectiveness of alternative buffering strategies in complexmultilevel assembly manufacturing systems using the Material RequirementPlanning MRP methodology is explored and assessed. The safety stock,safety lead time, hard safety capacity, and forecastinflation buffering strategies are tested under uncertainties ofenditem demand, resource supply, and task control. The MRP methodologyis applied for scheduling along with a complex, realistic simulationmodel for execution of operations. Average inventory levels for end andcomponent items, capacity utilisation, enditem backorders and customerundersupport are used as performance measures. Experimental resultsestablish safety stock and hard safety capacity asdominant buffering strategies under all uncertainty conditions, and taskcontrol is shown as the most disruptive uncertainty source.

Journal

Integrated Manufacturing Systems – Emerald Publishing

Published: Apr 1, 1991

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