Program Aplikasi Optimalisasi Perencanaan Produksi dengan Metode Goal Programming (Kasus CV. G)

Authors

  • Zahedi Zahedi Bina Nusantara University
  • I Wayan Aditya Eka Putera Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v1i1.2176

Keywords:

goal programming, optimization, linear programming, production planning

Abstract

Indonesia today is still a State agrarian. Thus agriculture in Indonesia always get more attention by the government. Many government programs are rolled out to support the agricultural development of Indonesia, and one of them is the fertilizer subsidy to farmers Indonesia. Fertilizer itself is very useful to nourish the soil and provide vitamins to the plants, thus increasing the amount of production generated. Therefore it is necessary fertilizer for agriculture in Indonesia. CV. G company is one of the companies that produce fertilizer. Fertilizer produced by this company is an organic fertilizer and inorganic fertilizer. Problems faced by these companies are in planning the production of fertilizer produced. Companies want to optimize the amount of production of each fertilizer, maximize revenues, minimize production costs, and simultaneously optimize the working hours of employees. To meet these objectives, this research created program package using goal programming methods. Goal programming method can provide an effective solution / equilibrium toward the goals set, and the calculation will be assisted by using the Simplex method that has been modified. This method is an extension of linear programming, linear programming which can only solve problems with a single goal while the goal programming to solve problems with multiple objectives.
Dimensions

Plum Analytics

Author Biographies

Zahedi Zahedi, Bina Nusantara University

Jurusan Matematika dan Statistik, Fakultas Sains dan Teknologi

I Wayan Aditya Eka Putera, Bina Nusantara University

Jurusan Matematika dan Statistik, Fakultas Sains dan Teknologi

References

Bronson, R., and Naadimuthu, G. (1997). Schaum’s outline of theory and problems of operation research, New York: McGraw Hill.

Ching, W. K., and Zhou, X. Y. (1996). Matrix methods in production planning of failure prone manufacturing systems. Lecture notes in control and information sciences 21–recent advances in control and optimization of manufacturing systems, Springer-Verlag, 3–29.

Dauzere-Peres, S., Gershwin, S. B., and Sevaux, M. (2000). Models and solving procedures for continuous-time production planning, IIE Transactions, 32(2), 93–103.

Huang, L., Hu, J. Q., and Vakili, P. (1996). Optimal control of a failure prone manufacturing system with the possibility of temporary increase in production capacity. Lecture notes in control and information sciences 21–recent advances in control and optimization of manufacturing systems, Springer-Verlag, 31–60.

Mulyono, S. (2004). Riset operasi, Jakarta: Fakultas Ekonomi, Universitas Indonesia.

Perkins, J. R., and Srikant, R. (1996). Optimal control of manufacturing systems with buffer holding costs. Lecture notes in control and information sciences 21–recent advances in control and optimization of manufacturing systems. Springer-Verlag, 61–96.

Siswanto. (2007). Operations research, jilid pertama, Jakarta: Erlangga.

Taha, H. A. (2007). Operation research: an introduction, Prentice Hall.

Downloads

Published

2010-06-01

Issue

Section

Articles
Abstract 563  .
PDF downloaded 601  .