Dynamic analysis and optimization of a production control system under supply and demand uncertainties
type: Item
instance of: scholarly article
title: Dynamic analysis and optimization of a production control system under supply and demand uncertainties
zbMATH Open document ID: 1374.90148
DOI: 10.1155/2016/6823934
author: Qiankai Qing
author: Wen Shi
author: Hai Li
author: Yuan Shao
published in: Discrete Dynamics in Nature and Society
publication date: 2017-11-13T00:00:00Z
review text: Summary: This study investigates the dynamic performance and optimization of a typical discrete production control system under supply disruption and demand uncertainty. Two different types of uncertain demands, disrupted demand with a step change in demand and random demand, are considered. We find that, under demand disruption, the system's dynamic performance indicators (the peak values of the order rate, production completion rate, and inventory) increase with the duration of supply disruption; however, they increase and decrease sequentially with the supply disruption start time. This change tendency differs from the finding that each kind of peak is independent of the supply disruption start time under no demand disruption. We also find that, under random demand, the dynamic performance indicators (Bullwhip and variance amplification of inventory relative to demand) increase with the disruption duration, but they have a decreasing tendency as demand variance increases. In order to design an adaptive system, we propose a genetic algorithm that minimizes the respective objective function on the system's dynamic performance indicators via choosing appropriate system parameters. It is shown that the optimal parameter choices relate closely to the supply disruption start time and duration under disrupted demand and to the supply disruption duration under random demand.
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 6806271
MaRDI profile type: Publication
Wikidata QID: Q59123619
full work available at URL: https://doi.org/10.1155/2016/6823934
OpenAlex ID: W2511588297
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description: scientific article; zbMATH DE number 6806271