Proposing a conceptual model for influential factors in determining the aggregation coefficient in production planning using fuzzy interpretive structural modeling

Document Type : Original Article

Authors

1 Department of Industrial Engineering, Na.C., Islamic Azad University, Najafabad, Iran.

2 Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract
Purpose: Given that determining the aggregate coefficient is a key constraint in Aggregate Production Planning (APP), this study seeks to identify the factors influencing this coefficient and to analyze them using Fuzzy Interpretive Structural Modeling (FISM) to explore their interrelationships.
Methodology: After identifying the key factors influencing the aggregate coefficient, an Interpretive Structural Modeling (ISM) questionnaire was distributed among experts, and the responses were aggregated. Subsequently, the FISM steps were carried out. Finally, an interaction network was constructed, and an analysis was performed to evaluate the degree of dependence and driving power among the identified factors.
Findings: The developed interpretive structural model comprised 11 hierarchical levels. The fuzzy analysis of dependence and driving power indicated that none of the factors were categorized as autonomous, reflecting a strong degree of interconnection among the variables within the model.
Originality/Value: Production planning for multiple products utilizing shared resources is a complex challenge. Thus, analyzing the variables that influence the determination of the aggregate coefficient in production planning provides valuable insights, facilitating informed decision-making, particularly in optimizing resource allocation to achieve an optimal production level.

Keywords


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