Logo

Mathematical Model Developed Using Meta-Initiative Optimization Algorithm for Production and Labor Planning

Setiawan, Roy (2021) Mathematical Model Developed Using Meta-Initiative Optimization Algorithm for Production and Labor Planning. [UNSPECIFIED]

[img] PDF
Download (347Kb)
    [img] PDF
    Download (1985Kb)
      [img]
      Preview
      PDF (Paper - Roy S)
      Download (4Mb) | Preview

        Abstract

        In todays competitive environment, production efficiency is a very important and key issue in success in the market. However, all decisions of the production unit are interdependent and it is necessary to use an integrated form which leads to finding a better approach for the management. Accordingly, in this research, the integration of three important fields in manufacturing companies has been addressed. These fields include production planning, maintenance, and labor scheduling. In this regard, a novel mathematical model with the aim of optimal use of labor and increasing production volume is presented. In this model of workers’ experience, machine utilization rate and machine failure rate are expressed using fuzzy numbers. To optimize this model, the ant colony optimization algorithm has been used. Numerical results obtained from the implementation of the mathematical model and solution method show that the used algorithm can provide solutions with the least possible error in a reasonable time. Moreover, the sensitivity analysis shows that the failure rate of the machine before and after maintenance has a great impact on the objective function of the mathematical model.

        Item Type: UNSPECIFIED
        Uncontrolled Keywords: Production Planning , Maintenance , labor scheduling , Mathematical Model , Ant Colony Optimization Algorithm
        Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
        Divisions: Faculty of Economic > Business Management Program
        Depositing User: Admin
        Date Deposited: 13 Jul 2021 16:01
        Last Modified: 11 Aug 2023 11:29
        URI: https://repository.petra.ac.id/id/eprint/19108

        Actions (login required)

        View Item