PENENTUAN BAHAN BAKU MENGGUNAKAN METODE FUZZY GOAL PROGRAMMING PADA UKM FURNITURE
DOI:
https://doi.org/10.51804/jiso.v7i1.1-7Keywords:
Furniture, Fuzzy Goal Programming, Kayu, UKMAbstract
Jombang Regency is one of the furniture producers which supplies many cities in Indonesia. Production activities are carried out at the furniture SMEs center in Catak Gayam village, Mojowarno, Jombang. Furniture SMEs strive to serve consumer needs according to demand. SMEs prepare teak wood raw materials by ordering wood from suppliers. It is difficult for furniture SMEs to determine the number of teak wood orders that match consumer product demand. The Fuzzy Goal Programming method is able to provide solutions for determining of raw materials according to consumer needs. The results of this research formed a model that was used to determine the amount of teak wood raw material according to demand of 25.03 m3 per order. Furniture SMEs set a profit target of 0.25. This condition shows the most optimal conditions in production activities at SMEs Furniture.
Kabupaten Jombang merupakan salah satu penghasil furniture yang banyak menyuplai di kota-kota berada di Indonesia. Kegiatan produksi dilakukan di sentral UKM furniture di desa Catak Gayam, Mojowarno, Jombang. UKM furniture berupaya dalam melayani kebutuhan konsumen sesuai dengan permintaan. UKM menyiapkan bahan baku kayu jati dengan cara memesan kayu ke supplier. Sulitnya UKM furniture dalam menentukan pesanan kayu jati yang sesuai dengan permintaan produk yang dibutuhkan konsumen. Metode Fuzzy Goal Programming mampu memberikan solusi penentuan jumlah bahan baku sesuai dengan kebutuhan konsumen. Hasil penelitian ini terbentuk suatu model yang digunakan untuk menentukan jumlah bahan baku kayu jati sesuai dengan permintaan sebesar 25,03 m3 setiap kali order. UKM furniture memberikan target keuntungan sebesar 0,25. Kondisi ini menunjukan kondisi yang paling optimal dalam kegiatan produksi pada UKM Furniture.
References
A. F. da Silva and F. A. S. Marins. (2014). A fuzzy goal programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian suger mill. Energy Econ. vol. 45. pp. 196-204.
Amirghodasi. S.. Bonyadi Naeini. A. Makui. A. (2020). Adual model for selecting technology and technology transfer method using a combination of the best-worst methed (BWM) and goal programming. Sci. Iran.
Gupta. S. Soni. U.. Kumar. G. (2019). Green supplier selection using multi-creterion decisin making under fuzzy environment: a case study in the automotive industry. Comput. Ind. Eng. 136. 663-680.
J. Kaur. O. Singh. A. Anand. and M. Agarwal. (2023). A goal programming approach for agile-based software development resource allcatio. Decision Analytics Journal. Vol 6.
Jaka Purnama. Budi setiawan. Imam Santoso. Bagyo Yanuwiadi. (2018). Decicion Support System Fuzzy Goal Programming Model to Optimize Benefits of SME Furniture. International Journal of Engineering & Technologi. 7 (4) 6578-6584.
Kumar. Manoj. (2022). A fuzzy goal Programming approach for vendor selection problem in a supply chain. (april 1)
S. Komsiyah. Meiliana. and H. E. Centika. (2018). A fuzzy goal programming model for production planning in firniture company. In procedia computer Science. vol 135. pp. 544-552.
W. A. Oliveira. D. J. Fiorotto. X. Song. and D. F. Jones. (2021). An-extended goal programming model for the multiobjective integrated lot-sizing and cutting stock problem. Eur J Oper Res. vol 295. no. 3. pp. 996-1007.
Zhou. F. Chen. T.-Y. (2020): Multiple creteria group decision analysis using a Pythagorean fuzzy programming model for multidimensional analysis of preference based on novel distance measures. Comput. Ind. Eng. 148. 106670.
Krissyda. D. & Oktiarso. (2021). T. Perencanaan produksi dengan menggunakan goal programming pada UKM XYZ. Matrik: Jurnal manajemen dan Teknik Industri produksi. Vol. 22. No. 1. pp. 15-22.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 JISO : Journal of Industrial and Systems Optimization
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
With the receipt of the article by JISO Editorial Board and the decision to be published, the copyright regarding the article will be transferred to JISO. The copyright transfer form can be downloaded here.
JISO has the right to multiply and distribute the article and every author is not allowed to publish the same article that was published in this journal.
JISO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
