Decision support system fuzzy goal programming model to optimize benefits of SME furniture

  • Authors

    • Jaka Purnama Untag Surabaya
    • Budi Setiawan University Brawijaya
    • Imam Santoso University Brawijaya
    • Bagyo Yanuwiadi University Brawijaya
    2019-06-30
    https://doi.org/10.14419/ijet.v7i4.29250
  • Fuzzy Goal Programming, Furniture, SME, Optimal, Production.
  • SME Furniture currently has not done an optimal analysis of production amount. The amount of production is based solely on the needs of the consumer, resulting in improper production costs. This study aims to determine the optimal amount of production of each product using Fuzzy Goal Programming (FGP) model. In obtaining optimal benefits consider the cost of labor costs and raw material costs. Fuzzy goal programming model is used for decision making in determining the amount of production on each product type. The analysis has done by maximizing profits and minimize labor, raw materials and working time. The results of this study indicate that the fuzzy goal programming model can optimize the clothing in furniture SMEs by 30%.

     

    Author Biography

    • Jaka Purnama, Untag Surabaya
      Industrial Engineering
  • References

    1. [1] Chinnung L, Fuzzy analytical hierarchy process and multi-segment goal programming applied to new product segmented underprice strategy, journal Computers & Industrial Engineering, 61, 831–841, 2011. https://doi.org/10.1016/j.cie.2011.05.016.

      [2] Ouhimmou M, D’Amours S, Beauregard R, AitKadi D., and Chauhan S.S., Furniture Supply Chain Tactical Planning Optimization Using a Time Decomposition Approach, European Journal of Operational Research, Vol. 189, pp. 952–970, 2008. https://doi.org/10.1016/j.ejor.2007.01.064.

      [3] Philip R. Tomlinson, Felicia M. Fai, The Natural of SME co-operation and innovation : A Multi-scalar and multi-dimentional analysis, Int. Journal Production Economics 141, 316-326, 2013. https://doi.org/10.1016/j.ijpe.2012.08.012.

      [4] Muh. Hisjam, A Sustainable Partnership Model among Supply Chain Players in .Wooden Furniture Industry Using Goal Programming, Agriculture and Agricultural Science Procedia, 3, 154 – 158, 2015. https://doi.org/10.1016/j.aaspro.2015.01.030.

      [5] Chodary B, Slomp J. (2002), Production Planning Under Dynamic Product Environment: A Multi-objective Goal Programming Approach. http://www.ub.rug.nl/eldoc.

      [6] Nagalakshmi T, Uthra G., A New Approach to Find an Optimal Solution of a Fuzzy Linear Programming Problem by Fuzzy Dynamic Programming, International Journal of Engineering & Technology, 7 (4.10), 360-363, 2018. https://doi.org/10.14419/ijet.v7i4.10.20935.

      [7] Gani AN., A New Operation on Triangular Fuzzy Number for Solving Fuzzy Linear Programming Problem. Applied Mathematical Sciences, 6(11): 525-532, 2012.

      [8] Charles D, Simpson T. (2002), Goal Programming Application in Multidisciplinary Design Optimization. (http://www.dtic.mil/ndia/2001sbac/simpson).

      [9] Kahraman C., Multi-Criteria Decision-Making Methods and Fuzzy Sets. Kahraman C., editor. Fuzzy Multi-Criteria Decision Making. Theory and Application with Recent Development. New York: Springer Optimization and Its Applications Vol. 16. 1 – 18, 2008. https://doi.org/10.1007/978-0-387-76813-7_1.

      [10] Lopez M J, On Fuzzy Goal Programming with Piecewise Linear Membership Functions. EUSFALT-LFA 3:340-344, 2005.

      [11] Kustiyahningsih Y, Fatmawati, Suprajitno H., MCGDM with AHP Based on Adaptive Interval Value Fuzzy. TELKOMNIKA, 16(1): 125-132, 2016. https://doi.org/10.12928/telkomnika.v15i4.7000.

      [12] Kustiyahningsih Y, Rahmanita E, Purnama J., Integration Balanced Scorecard and Fuzzy Analytic Network Process (FANP) for Measuring Performance of Small Medium Enterprise (SME). Journal of Theoretical and Applied Information Technology (JATIT). 94(2): 343-352, 2016.

      [13] Santoso I, Sa’adah M, Wijana S., QFD and Fuzzy AHP for Formulating Product Concept of Probiotic Beverages for Diabetic. TELKOMNIKA, 15(1): 391-398, 2017. https://doi.org/10.12928/telkomnika.v15i1.3555.

      [14] Xie H, Duan W, Sun Y, Du Y., Dynamic DEMATEL Group Decision Approach Based on Intuitionistic Fuzzy Number. TELKOMNIKA: Indonesian Journal of Electrical Engineering, 12(4): 1064-1072, 2014. https://doi.org/10.12928/telkomnika.v12i4.787.

      [15] Uyun S, Riadi I., A Fuzzy TOPSIS Multiple-Attribute Decision Making for Scholarship Selection. TELKOMNIKA: Indonesian Journal of Electrical Engineering, 9(1): 37-46, 2011. https://doi.org/10.12928/telkomnika.v9i1.643.

      [16] Tan, R.R., Cruz, D. E., Synthesis of robust water reuse networks for single component retrofit problems using symmetric fuzzy linear programming, Compu. Chem. Eng. 28, 2547–2551, 2004. https://doi.org/10.1016/j.compchemeng.2004.06.016.

      [17] Torregrossa, D., Schutz, G., Cornelissen, A., Hernández-Sancho, F., Hansen J, Energy saving in WWTP: Daily Benchmarking under Uncertainty and Data Availability Limitations. Environ. Res. 148, 330–337, 2016. https://doi.org/10.1016/j.envres.2016.04.010.

      [18] Gupta, M., and Bhattacharjee, D. Two Weighted Fuzzy Goal Programming Methods to Solve Multi objective Goal Programming Problem, Journal of Applied Mathematics, 2012. https://doi.org/10.1155/2012/796028.

      [19] Reddy, B. C. M., Reddy, K. H., and Reddy, C. N. M., Production Centers Selection Problem for A Manufacturing Firm of Supply Chain Under Production Centers’ Uncertainty and Demand Uncertainty by using Fuzzy Goal Programming Approaches. International Journal of Research in Mechanical Engineering & Technology, 2012.

      [20] Bhargava, A.K, Singh, S.R, and Divya Bansal, Fuzzy Goal Programming Techniques for Production Planning in Industry, International Journal of Computer Applications Technology and Research 4 (2):92-96, 2015. https://doi.org/10.7753/IJCATR0402.1002.

      [21] Komsiyah, S., Meiliana, Centika E., H, A FGP Model for Production Planning in Furniture Company, Procedia Computer Science, 135 544–552, 2018. https://doi.org/10.1016/j.procs.2018.08.207.

      [22] Purnama J, Setiawan B, Santoso I, Yanuwiadai B, Profit Optimization by Using Fuzzy Goal Programming Method in Furniture SMEs, National Conference, IDEC, 2018.

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  • How to Cite

    Purnama, J., Setiawan, B., Santoso, I., & Yanuwiadi, B. (2019). Decision support system fuzzy goal programming model to optimize benefits of SME furniture. International Journal of Engineering & Technology, 7(4), 6579-6584. https://doi.org/10.14419/ijet.v7i4.29250