A general framework for modeling production
Management Science
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Manufacturing Planning and Control for Supply Chain Management
Manufacturing Planning and Control for Supply Chain Management
Estimating clearing functions from simulation data
Proceedings of the Winter Simulation Conference
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It is well known from queueing and simulation models that cycle times in capacitated production systems increase nonlinearly with resource utilization, which poses considerable difficulty for the conventional linear programming (LP) models used for this purpose. Hung and Leachman (1996) propose a highly intuitive iterative approach where a detailed simulation model of the production facility is used to estimate flow time parameters used in an LP model We examine the convergence of this method under different experimental conditions, and conclude that it is hard to determine precisely when the method converges.