STUDY OF COMPANY REVENUE BASED ON PRODUCTION PLANNING CONFIGURATION USING GOAL PROGRAMMING METHOD

Authors

  • Fajar Azhari Julian Department of Industrial Engineering, Institut Teknologi Nasional (Itenas), Bandung – INDONESIA
  • Rispianda Department of Industrial Engineering, Institut Teknologi Nasional (Itenas), Bandung – INDONESIA

Keywords:

Goal Programming, Multi Objectives, Production Planning

Abstract

Production planning in company management is very important to manage. Production planning needs to consider various aspects. Starting from optimizing profits, minimizing production costs, maximizing the available resources. A Goal Programming Method is one method that can be used to optimize production planning, being able to solve problems to be optimal with more than one objective (multi-objective). UD. Lotus is a textile company, which aims to increase sales revenue, decrease production costs by maximizing regular work hours and optimize the use of available resources. The purpose of this study is to make an appropriate discussion to count the number of clothes produced and multiply the cost of production using the Goal Programming method. The results of the research determine the product combination optimization results from programming objectives increase more funds with the policies made by the company so far. The company's profit with a programming objective solution is exceed the company's profit target.

References

Anis, M., & Nandiroh, S. (2007). Optimasi perencanaan produksi dengan metode Goal Programming. Jurnal Ilmiah Teknik Industri, 5, 133–143.

Chowdary, B. V, & Slomp, J. (2002). Production Planning under Dynamic Product Environment : A Multiobjective Goal Programming Approach.

Mcallister, C. D., & Simpson, T. W. (2000). Goal Programming Applications In Multidisciplinary Design Optimization. Symposium on Multidisciplinary Analysis and Optimization, 8(c).

Qu, J., Hsiao, T. C., Depeters, E. J., & Zaccaria, D. (2019). A goal programming approach for balancing diet costs and feed water use under different environmental conditions, 11504–11522. https://doi.org/10.3168/jds.2019-16543

Published

2021-04-22

Issue

Section

FoITIC 2020