Pemilihan Supplier Urea Menggunakan Metode Analytic Network Process

(Studi Kasus di PT. Delta Setia Sandang Asli Tekstil 1)

Authors

  • Anindya Manggar Iwarani Universitas Sahid Surakarta
  • Yunita Primasanti Universitas Sahid Surakarta
  • Bekti Nugrahadi Universitas Sahid Surakarta

DOI:

https://doi.org/10.61132/jupiter.v3i2.791

Keywords:

ANP, Inbound Logistics, Supplier Selection, Supply Chain, Textile Industry

Abstract

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

References

Abdolazimi, O., Salehi Esfandarani, M., Salehi, M., & Shishebori, D. (2020). Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects: Case study of a tire factory. Journal of Cleaner Production, 264, 121566. https://doi.org/10.1016/j.jclepro.2020.121566

Ascarya. (2013). Solutions to prevent financial crisis in Islamic economic perspective: ANP approach. https://doi.org/10.13033/isahp.y2013.078

Benton, W. C., Prahinski, C., & Fan, Y. (2020). The influence of supplier development programs on supplier performance. International Journal of Production Economics, 230, 107793. https://doi.org/10.1016/j.ijpe.2020.107793

Boffelli, A., Golini, R., Orzes, G., & Dotti, S. (2020). Open the box: A behavioural perspective on the reshoring decision-making and implementation process. Journal of Purchasing and Supply Management, 26(3), 100623. https://doi.org/10.1016/j.pursup.2020.100623

Boroujeni, F. M., & Sharzehee, M. (2023). Synthetic oligomers with urea binding and their role as crosslinkers in improving the printing quality on cotton fabric. Fibers and Polymers, 24(3), 855–867. https://doi.org/10.1007/s12221-023-00027-9

Chen, H., et al. (2021). Dyeing and finishing wastewater treatment in China: State of the art and perspective. Journal of Cleaner Production, 326, 129353. https://doi.org/10.1016/j.jclepro.2021.129353

Delfani, F., Samanipour, H., Beiki, H., Yumashev, A. V., & Akhmetshin, E. M. (2022). A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time. International Journal of Systems Science: Operations and Logistics, 9(2), 155–179. https://doi.org/10.1080/23302674.2020.1862936

Desore, A., & Narula, S. A. (2018). An overview on corporate response towards sustainability issues in textile industry. Environmental Development and Sustainability, 20(4), 1439–1459. https://doi.org/10.1007/s10668-017-9949-1

Ecer, F. (2022). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: A case study of a home appliance manufacturer. Operations Research and Decisions, 22(1). https://doi.org/10.1007/s12351-020-00552-y

Farhana, K., Mahamude, A. S. F., & Mica, M. T. (2022). The scenario of textile industry in Malaysia: A review for potentiality. Materials Circular Economy, 4(1). https://doi.org/10.1007/s42824-022-00063-5

Gupta, A., Singh, R. K., & Mangla, S. K. (2022). Evaluation of logistics providers for sustainable service quality: Analytics based decision making framework. Annals of Operations Research, 315(2). https://doi.org/10.1007/s10479-020-03913-0

Hosseini, Z. S., Flapper, S. D., & Pirayesh, M. (2022). Sustainable supplier selection and order allocation under demand, supplier availability, and supplier grading uncertainties. Computers & Industrial Engineering, 165, 107811. https://doi.org/10.1016/j.cie.2021.107811

Huang, H., Liu, F., & Zhang, P. (2021). To outsource or not to outsource? Warranty service provision strategies considering competition, costs and reliability. International Journal of Production Economics, 242, 108298. https://doi.org/10.1016/j.ijpe.2021.108298

Ikram, M. (2022). Transition toward green economy: Technological innovation’s role in the fashion industry. Current Opinion in Green and Sustainable Chemistry, 37, 100657. https://doi.org/10.1016/j.cogsc.2022.100657

Khatri, A., Peerzada, M. H., Mohsin, M., & White, M. (2015). A review on developments in dyeing cotton fabrics with reactive dyes for reducing effluent pollution. Journal of Cleaner Production, 87(1), 50–57. https://doi.org/10.1016/j.jclepro.2014.09.017

Kirkizoğlu, Z., & Karaer, Ö. (2022). After-sales service and warranty decisions of a durable goods manufacturer. Omega, 113, 102719. https://doi.org/10.1016/j.omega.2022.102719

Olanrewaju, O. G., Dong, Z. S., & Hu, S. (2020). Supplier selection decision making in disaster response. Computers & Industrial Engineering, 143, 106412. https://doi.org/10.1016/j.cie.2020.106412

Roy, S. A., et al. (2020). A framework for sustainable supplier selection with transportation criteria. International Journal of Sustainable Engineering, 13(2), 77–92. https://doi.org/10.1080/19397038.2019.1625983

Saaty, T. L. (2013). Decision making with the analytic network process. In International Series in Operations Research & Management Science (pp. 1–40). Springer.

Sheykhzadeh, M., Ghasemi, R., Vandchali, H. R., Sepehri, A., & Torabi, S. A. (2024). A hybrid decision-making framework for a supplier selection problem based on lean, agile, resilience, and green criteria: A case study of a pharmaceutical industry. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-04135-7

Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517. https://doi.org/10.1016/j.jclepro.2019.119517

Tushar, Z. N., Bari, A. B. M. M., & Khan, M. A. (2022). Circular supplier selection in the construction industry: A sustainability perspective for the emerging economies. Sustainable Manufacturing and Service Economics, 1, 100005. https://doi.org/10.1016/j.smse.2022.100005

Yang, J., Wu, C., Fang, H., Chen, X., & Lv, J. (2024). Exploring the requirements of reactive dyes in eco-friendly dyeing process: The relationship between dye structure, dyeing properties, and eco-friendly dyeing techniques. Dyes and Pigments, 223, 111976. https://doi.org/10.1016/j.dyepig.2024.111976

Zhang, C., Tang, L., & Zhang, J. (2023). Identifying critical indicators in performance evaluation of green supply chains using hybrid multiple-criteria decision-making. Sustainability, 15(7). https://doi.org/10.3390/su15076095

Downloads

Published

2025-03-25

How to Cite

Anindya Manggar Iwarani, Yunita Primasanti, & Bekti Nugrahadi. (2025). Pemilihan Supplier Urea Menggunakan Metode Analytic Network Process : (Studi Kasus di PT. Delta Setia Sandang Asli Tekstil 1). Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro Dan Informatika, 3(2), 68–80. https://doi.org/10.61132/jupiter.v3i2.791

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)