Designing a agant-based model of production cost management using internal and external organizational decisions in the marketing of industrial products

Document Type : Original Article

Authors

1 PhD student, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran.

2 Assistant Professor, Department of Management, Lahijan Branch, Islamic Azad University, Lahijan, Iran (corresponding author).

3 Associate Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran.

Abstract

The aim of the current research was to design an agant-based model of production cost management using internal and external organizational decisions in the marketing of industrial products. The research method is practical in terms of the goal and in terms of the research process, it is in the field of quantitative and field research of an exploratory type. The statistical population of the current research is all experts and informants on the issue of the cost of industrial products, who were selected through the snowball sampling method. In this research, 25 people were selected as a sample of experts, and data related to industrial products and their pricing were used to collect data from the companies' databases to check the research objectives. Next, three methods of theme analysis, Delphi technique and factor-based model were used to analyze the data. AnyLogic software was used to run the simulation in order to validate the model. Finally, the findings showed that in this research, two types of improvement policies have been investigated: 1. The effect of product production policies on demand and product pricing in order to make the finished price competitive 2. The effect of capacity planning policies. It is necessary to remember that this problem was designed with the approach of the foundation agent model and the behavior analysis of the research model shows that with the application of product production policies, the cost price of products increases.

Keywords

Main Subjects


Volume 2, Issue 4
September 2024
Pages 1-27
  • Receive Date: 23 November 2023
  • Revise Date: 19 January 2024
  • Accept Date: 25 January 2024
  • First Publish Date: 25 January 2024