Evaluating the Impact of Managerial Decisions on Production Costs Using Agent-Based Modeling Based on the Theory of Constraints
Keywords:
Agent-based modeling, managers' decisions, Theory of Constraints, production costsAbstract
The purpose of the present study was to design an agent-based model to evaluate the impact of internal and external organizational decisions on the cost of industrial production based on the Theory of Constraints. The research methodology is applied in terms of purpose and falls within the domain of exploratory quantitative and field studies. The statistical population of this research includes all experts and informants in the field of industrial production costs, who were selected using the snowball sampling method. In this study, 25 experts were chosen as the sample, and data collection was conducted using corporate databases to examine the research objectives, focusing on industrial production and pricing data. For data analysis, three methods were employed: thematic analysis, the Delphi technique, and agent-based modeling. AnyLogic software was used to perform simulations for validating the model. The findings revealed that two types of improvement policies were examined in this study. The impact of production policies on product demand and pricing to enhance the competitiveness of production costs. The impact of capacity planning policies. It is noteworthy that this issue was designed with an agent-based modeling approach, and an analysis of the research model's behavior indicates that the implementation of production policies increases the rate of product costs. This aligns with competitive activities among companies and fosters the formation of favorable pricing in customers' perceptions.
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