Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach

Authors

  • Erni Krisnaningsih Graduate Program of Agro-industrial Engineering, Faculty of Agricultural Technology, IPB University Department of Industrial Engineering, Faculty of Engineering, Universitas Banten Jaya
  • Taufik Djatna Department of Agroindustrial Engineering, Faculty of Agricultural Engineering, IPB University
  • Yandra Arkeman Department of Agroindustrial Engineering, Faculty of Agricultural Engineering, IPB University
  • Marimin Marimin Department of Agroindustrial Engineering, Faculty of Agricultural Engineering, IPB University
  • Erliza Hambali Department of Agroindustrial Engineering, Faculty of Agricultural Engineering, IPB University

DOI:

https://doi.org/10.22441/sinergi.2022.1.009

Keywords:

Aggregate production planning, Fuzzy Goal Programming, Charcoal rice husks,

Abstract

This study proposes a Fuzzy Goal Programming approach to optimize the problem of aggregate planning of production processes in companies that produce charcoal husks. The application proposed to the company describes the process of Rice Husk Charcoal Production taking into account the uncertain factors involved in the aggregate planning process of Rice Husk charcoal production. Decision-making related to the level of material needs in each type of rice husk charcoal product is considered based on planning for the next 12 months by including weighting value in membership function, determination of membership function of each function objectives with equivalent Crip of fuzzy goal programming. Fuzzification is based on three main objectives with three membership levels for each purpose of Goal Programming. This research provides the results of the proposed adaptive model applied to companies that produce charcoal husks.

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Published

2022-01-01

How to Cite

[1]
E. Krisnaningsih, T. Djatna, Y. Arkeman, M. Marimin, and E. Hambali, “Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach”, Sinergi, vol. 26, no. 1, pp. 65–72, Jan. 2022.

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Articles