A System Dynamics Model to Evaluate the Impact of Production Process Disruption on Order Shipping
Source abstract
Abstract
Multiple studies have analyzed the importance of preventive maintenance. Similarly, they have developed and/or evaluated various spare part inventory management policies that help companies reduce the duration of production disruptions resulting from sudden mechanical failures. All of these studies assess the impact of mechanical failures on local aspects, such as idle times or management policies. However, they do not holistically evaluate how machine failures affect key performance indicators. To address this gap, we proposed a System Dynamics (SD) model to systemically analyze the impact of machine part failures on order shipping, a key performance indicator. Similarly, we assessed the impact of machine part failures on the levels of the company’s finished goods inventory. The research was conducted in a glass bottle manufacturing company. To increase order shipping as a performance indicator, we identified the key variables of the production process and conducted a sensitivity analysis of the variables. Our results indicate that it is possible to reach the company’s 98–100% complete delivery policy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Supply Chain Resilience and Risk Management · Quality and Supply Management · Supply Chain and Inventory Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Division of Research and Postgraduate Studies, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, Orizaba 94320, Mexico
Department of Electric and Computer Sciences, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Funding
Consejo Nacional de Ciencia y Tecnología
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