The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study

Authors

  • Aulia Ishak Department of Industrial Engineering, Universitas Sumatera Utara
  • Poltak Nababan Department of Industrial Engineering, Universitas Sumatera Utara

DOI:

https://doi.org/10.30656/jsmi.v4i2.2143

Keywords:

Production planning, Fuzzy goal programming, Spare parts

Abstract

Production planning has an important role in the company's business processes. A company engaged in the manufacture of intermediate gear parts has a problem in optimizing its production system. The production planning system that occurs is still based on predictions from decision-makers. This study aims to optimize the production planning system to maximize the 15T intermediate gear spare parts' production capacity and the 30T intermediate gear spare parts. Optimization of production planning uses the fuzzy goal programming method to optimize objectives based on existing constraints such as working hours, profit tolerance values, and demand tolerance values. The results showed that the use of fuzzy goal programming was able to increase the production level by 2.765, with an increase in profit of 2.57%. Fuzzy goal programming implementation provides an optimal solution in increasing profits in accordance with company goals based on the constraints that occur.

References

E. B. Tirkolaee, A. Goli, and G.-W. Weber, “Multi-objective Aggregate Production Planning Model Considering Overtime and Outsourcing Options Under Fuzzy Seasonal Demand,†in Advances in manufacturing II, Springer, 2019, pp. 81–96, doi: 10.1007/978-3-030-18789-7_8.

A. Ishak, Manajemen Operasi. Medan: USU Press, 2010.

R. Ramezanian, D. Rahmani, and F. Barzinpour, “An aggregate production planning model for two phase production systems: Solving with genetic algorithm and tabu search,†Expert Syst. Appl., vol. 39, no. 1, pp. 1256–1263, 2012, doi: 10.1016/j.eswa.2011.07.134.

S. Komsiyah, Meiliana, and H. E. Centika, “A Fuzzy Goal Programming Model For Production Planning in Furniture Company,†Procedia Comput. Sci., vol. 135, pp. 544–552, 2018, doi: 10.1016/j.procs.2018.08.207.

A. K. Bhargava, S. R. Singh, and D. Bansal, “Fuzzy Goal Programming techniques for production planning in industry,†Int. J. Comput. Appl. Technol. Res., vol. 4, no. 2, pp. 92–96, 2015. Available: http://ijcatr.com/archives/volume4/issue2/ijcatr04021002.pdf.

M. Sadeghi, S. H. Razavi Hajiagha, and S. S. Hashemi, “A fuzzy grey goal programming approach for aggregate production planning,†Int. J. Adv. Manuf. Technol., vol. 64, no. 9–12, pp. 1715–1727, Feb. 2013, doi: 10.1007/s00170-012-4135-y.

A. H. Kvanli, “Financial planning using goal programming,†Omega, vol. 8, no. 2, pp. 207–218, 1980, doi: 0.1016/0305-0483(80)90025-0.

D. Bouyssou, “Modelling Inaccurate Determination, Uncertainty, Imprecision Using Multiple Criteria,†in Improving decision making in organisations, Springer, 1989, pp. 78–87, doi: 10.1007/978-3-642-49298-3_8.

A. Biswas and N. Modak, “A Fuzzy Goal Programming Approach for Fuzzy Multiobjective Stochastic Programming through Expectation Model,†in International Conference on Mathematical Modelling and Scientific Computation, Springer, 2012, pp. 124–135, doi: 10.1007/978-3-642-28926-2_14.

S. A. Torabi and M. Moghaddam, “Multi-site integrated production-distribution planning with trans-shipment: a fuzzy goal programming approach,†Int. J. Prod. Res., vol. 50, no. 6, pp. 1726–1748, Mar. 2012, doi: 10.1080/00207543.2011.560907.

D. Petrovic and O. Aköz, “A fuzzy goal programming approach to integrated loading and scheduling of a batch processing machine,†J. Oper. Res. Soc., vol. 59, no. 9, pp. 1211–1219, Sep. 2008, doi: 10.1057/palgrave.jors.2602467.

A. F. da Silva and F. A. S. Marins, “A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill,†Energy Econ., vol. 45, pp. 196–204, 2014, doi: 10.1016/j.eneco.2014.07.005.

M. Mekidiche, M. Belmokaddem, and Z. Djemmaa, “Weighted additive fuzzy goal programming approach to aggregate production planning,†Int. J. Intell. Syst. Appl., vol. 5, no. 4, p. 20, 2013. Available: http://www.mecs-press.net/ijisa/ijisa-v5-n4/IJISA-V5-N4-2.pdf.

S. H. Mirkarimi, R. Joolaie, F. Eshraghi, and F. S. B. Abadi, “Application of fuzzy goal programming in cropping pattern management of selected crops in Mazandaran province (case study Amol township),†Int. J. Agric. Crop Sci., vol. 6, no. 15, p. 1062, 2013. Available: https://www.cabdirect.org/cabdirect/abstract/20143013052.

V. Ghasemi, “A Fuzzy Goal Programming for Modeling Optimal Production Capacity of Shetabkar Company,†Asian J. Res. Bus. Econ. Manag., vol. 5, no. 4, pp. 249–261, 2015, doi: 10.5958/2249-7307.2015.00102.4.

S. S. Rao, Engineering optimization: theory and practice. New Jersey :John Wiley and Sons, 2019. Available: https://books.google.co.id/books?id=oG21DwAAQBAJ.

A. V. Penenko, “A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data,†Numer. Anal. Appl., vol. 12, no. 1, pp. 51–69, Jan. 2019, doi: 10.1134/S1995423919010051.

M. Belmokaddem, M. Mekidiche, and A. Sahed, “Application of a fuzzy goal programming approach with different importance and priorities to aggregate production planning,†J. Appl. Quant. methods, vol. 4, no. 3, pp. 317–331, 2009. Available: http://www.jaqm.ro/issues/volume-4,issue-3/pdfs/belmokaddem_mekidiche_sahed.pdf.

S. Tyagi, K. Yang, A. Tyagi, and A. Verma, “A Fuzzy Goal Programming Approach for Optimal Product Family Design of Mobile Phones and Multiple-Platform Architecture,†IEEE Trans. Syst. Man, Cybern. Part C (Applications Rev., vol. 42, no. 6, pp. 1519–1530, Nov. 2012, doi: 10.1109/TSMCC.2012.2198056.

M. Modiri, S. Moheb Rabbani, and H. Heidari Gharebolagh, “Influence of fuzzy Goal Programming in Production Optimization Case study: Cement Industry,†J. Optim. Ind. Eng., vol. 3, no. 6, pp. 43–52, 2010. Available: http://www.qjie.ir/article_48_12.html.

H. A. Abdelwali, E. E. M. Ellaimony, Y. M. Alhouli, J. M. S. Alrajhi, M. S. Alardhi, and A. E. Murad, “Using Fuzzy Goal Programming Technique to Obtain the Optimum Production of Vehicle Spare Parts, A Case Study,†Glob. J. Res. Eng., vol. 15, no. 6, pp. 65–71, 2015. Available: https://www.engineeringresearch.org/index.php/GJRE/article/view/1740.

M. Sakawa, I. Nishizaki, and Y. Uemura, “Fuzzy programming and profit and cost allocation for a production and transportation problem,†Eur. J. Oper. Res., vol. 131, no. 1, pp. 1–15, 2001, doi: 10.1016/S0377-2217(00)00104-1.

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Published

2020-12-31

Issue

Vol. 4 No. 2 (2020)

Section

Research Article

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How to Cite

[1]
“The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study”, j. sist. manaj. ind., vol. 4, no. 2, pp. 137–143, Dec. 2020, doi: 10.30656/jsmi.v4i2.2143.
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