Optimization of Selection Suppliers for Rice Raw Material Using AHP (Analytical Hierarchy Processes) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Methods in CV Gembira
DOI:
https://doi.org/10.22441/ijiem.v5i1.22366Kata Kunci:
AHP, Rice, Supplier selection, TOPSISAbstrak
CV Gembira is engaged in the production of Rice Mill with the trademark Osing Rice, and has 3 variants, namely Osing Super, Osing Premium and Osing Gold. Problems CV Gembira one of them is the delay in the delivery of rice raw materials carried out by supplier and also the quality of goods that do not meet the criteria. The AHP method is the preferred method. There are several reasons, namely, AHP provides a hierarchical representation of a problem that is useful in assisting decision making. The selection of the TOPSIS method as an auxiliary method is based on simple logic and has the farthest distance to the negative ideal solution. After performing calculations using the AHP and TOPSIS methods, alternative sequence results are obtained supplier the best that can be used by CV Gembira with a preference value of 0.6249 is owned by UD Bintang Timur.
Unduhan
Referensi
Abdel-Basset, M., Mohamed, M., Smarandache, F., 2018. A hybrid neutrosophic group ANP-TOPSIS framework for supplier selection problems. Symmetry, 10, 226 https://doi.org/10.3390/sym10060226
Amanda, G. E., Ernawati, D., 2023. Selection of Raw Material Suppliers for Injection Shoe Making Using the Fuzzy Analytical Hierarchy Process (FAHP) Method at PT. XYZ. IJIEM (Indonesian Journal of Industrial Engineering & Management), 4(3),482-494. https://doi.org/10.22441/ijiem.v4i3.21477
Arvind, J; Janpriy, S, (2018). A Comprehensive literature review of MCDM techniques ELECTRE, PROMETHEE, VIKOR, and TOPSIS applications in business competitive environment. Inter. J. Cur. Res. 10(2) 65461-65477
Bevilacqua, M., Ciarapica, F.E., Giacchetta, G., 2016. A fuzzy-QFD approach to supplier selection. J. Purch. Supply Manag. 12 (1), 14–27. https://doi.org/10.1016/j.pursup.2016.02.001
Bhardwaj, A.; Joshi, M.; Khosla, R.; Dubash, N.K. More priorities, more problems? Decision-making with multiple energy, development and climate objectives. Energy Res. Soc. Sci. 2019, 49, 143–157 https://doi.org/10.1016/j.erss.2018.11.003
Caputo, A.C., Pelagagge, P.M., Salini, P., 2013. AHP-based methodology for selecting safety devices of industrial machinery. Saf. Sci. 53, 202–218. https://doi.org/10.1016/j.ssci.2012.10.006
Kumar, S., Barman, A.G., 2021. Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing. 25, 6505-6525 https://doi.org/10.1007/s00500-021-05644-1
Kwok, Pak Ki, Lau, 2019. Hotel selection using a modified TOPSIS-based decision support algorithm. Decision Support Systems. 120, 95-105. https://doi.org/10.1016/j.dss.2019.02.004
Marttunen M, Lienert J, Belton V. Structuring problems for multi-criteria decision analysis in practice: a literature review of method combinations. Eur J Oper Res 2017;263(1):1–17. https://doi.org/10.1016/j.ejor.2017.04.041
Medić, N., Anišić, Z., Lalić, B., Marjanović, U., Brezočnik, M., 2019. Hybrid fuzzy multi attribute decision making model for evaluation of advanced digital technologies in manufacturing: Industry 4.0 perspective, Advances in Production Engineering & Management, 14(4), 483-493
https://doi.org/10.14743/apem2019.4.343
Mohammed, A., Harris, I., Govindan, K., 2019 A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics. 217, 171-184 https://doi.org/10.1016/j.ijpe.2019.02.003
Nabeeh, N.A., Smarandache, F., Abdelbasset, M, 2019. An Integrated Neutrosophic-TOPSIS Approach and Its Application to Personnel Selection: A New Trend in Brain Processing and Analysis. 7, 29734-29744 https://doi.org/10.1109/ACCESS.2019.2899841
Nugroho, F. A., & Ernawati, D. (2023). Analysis of Steel Plate Raw Material Supplier Selection on Rail Using Analytical Hierarchy Process (AHP) and Additive Ratio Assessment (ARAS) Methods at PT. XYZ. IJIEM (Indonesian Journal of Industrial Engineering & Management), 4(3), 365-374. https://doi.org/10.22441/ijiem.v4i3.20986
Pelissari, R., Ben-Amor, S., & de Oliveira, M. C., 2019. A multiple-criteria decision sorting model for pharmaceutical suppliers classification under multiple uncertainties. Pharmaceutical Supply Chains-Medicines Shortages, 229-247. https://doi.org/10.1007/978-3-030-15398-4_17
Petruni, A., Giagloglou, E., Douglas, E., Geng, J., Leva, M., Demichela, M., 2019. Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry. Safety science. 119,229-239 https://doi.org/10.1016/j.ssci.2017.05.007
Rasyid, A. K. (2019). Atribut Produk Dan Ekstrinsik Yang Dipertimbangkan Konsumen Dalam Membeli Produk Camilan Khas Kota Malang. Jurnal Manajemen Dan Inovasi, 2(2), 2(2), 61-79. https://doi.org/10.15642/manova.v2i2.193
Sangiorgio, V., Martiradonna, S., Fatiguso, F., Lombillo, I., 2021. Augmented reality based - decision making (AR-DM) to support multi-criteria analysis in constructions. Automation in Construction. 124, 103567 https://doi.org/10.1016/j.autcon.2021.103567
Somboonwiwat, T., Supeekit, T., 2019. Strategic Procurement Process For Multiple Items In A Supply Chain. ECMS. 33, 254-260.
Stevic, Z., Pamucar, D., Puska, D., Chatterjee, P., 2019. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). 19, 30700 https://doi.org/10.1016/j.cie.2019.106231
Tayyab, M., Sarkar, B., 2021. An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management. Computers & Industrial Engineering. 155, 107614 https://doi.org/10.1016/j.cie.2021.107164
Vorosmarty, G., Dobos, I., 2019 Supplier Evaluation with Environmental Aspects and Common DEA Weights. Periodica Polytechnica Social and Management Sciences. 27, 17-25 https://doi.org/10.3311/PPso.11814
Yu, F.V., Kao, H.C., Chiang, F.Y., Lin, S.W., Solving Aggregate Production Planning Problems: An Extended TOPSIS Approach. 12, 6945. https://doi.org/10.3390/app12146945
Zhang, R., Wang, K., Chen, 2019. Service Supplier Selection Decision Based on Dempster–Shafer Synthesis Rule. Journal of Industrial Integration and Management. 4, 1950004 https://doi.org/10.1142/S2424862219500040
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
