Measurement of Seaweed Supply Chain Performance in UD Bangkitg
1Wahyudin Andi Amin,2Pawana Nur Indah,3, Indra Tjahaja Amir
1,2,3Agribusiness Masters Study Program, UPN Veteran Jawa Timur
https://doi.org/10.47191/jefms/v7-i6-33ABSTRACT:
This research aims to measure the performance of the supply chain at UD Bangkit, a trading business engaged in the production and distribution of seaweed. Supply chain performance measurement is carried out using the Supply Chain method Operations Reference (SCOR) which includes five main dimensions: reliability, flexibility, cost, assets and responsiveness. The research results show that measuring UD Bangkit's Performance Attributes using the SCOR and AHP approach obtained a value of 51.58, it can be said that supply chain performance is in the average category. Based on the SCOR calculation, the lowest final attribute value is the performance value attributes reliability and metrics are perfect order fulfillment of 72 with a performance value of 9.36, and a performance value attributes responsiveness and its metrics Order Fulfillment Cycle Time is 48 with a performance value of 7.2. The highest value was obtained for Asset attribute Management, with a result of 18.83.
KEYWORDS:
Supply Chain, Performance Measurement, SCOR, Seaweed, UD Bangkit
REFERENCES:
1) Beamon, B. M. (1999). Measuring supply chain performance. International Journal of Operations & Production Management, 19(3), 275-292.
2) Chopra, S., & Meindl, P. (2016). Supply Chain Management: Strategy, Planning, and Operation. Pearson.
3) Christopher, M. (2016). Logistics & Supply Chain Management. Pearson UK.
4) Duwila, I.R., Suaidi, Ari, S., (2022). Pelajaran Dari Pengelolaan Rantai Pasok Pada Masa Pandemi Covid-19 Oleh PT ASTB di Maluku Tengah. Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan.
5) Govindan, K., & Bouzon, M. (2018). From a literature review to a multi-perspective framework for reverse logistics barriers and drivers. Journal of Cleaner Production, 187, 318-337.
6) Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2004). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71-87.
7) Huang, S. H., Sheoran, S. K., & Keskar, H. (2005). Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model. Computers & Industrial Engineering, 48(2), 377-394.
8) Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 31(7), 547-560.
9) Ketchen Jr, D. J., & Hult, G. T. M. (2007). Bridging organization theory and supply chain management: The case of best value supply chains. Journal of Operations Management, 25(2), 573-580.
10) Kovács, G., & Falagara Sigala, I. (2021). Supply chain resilience: A review of conceptualization and direction for future research. International Journal of Logistics Research and Applications, 24(4), 371-392.
11) Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65-83.
12) Lee, J., & Nam, S. (2017). The effect of supply chain performance on business performance: Empirical evidence from the traditional retail sector in Korea. Asia Pacific Journal of Marketing and Logistics, 29(3), 549-565.
13) Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107-124.
14) Lummus, R. R., & Vokurka, R. J. (1999). Defining supply chain management: a historical perspective and practical guidelines. Industrial Management & Data Systems, 99(1), 11-17.
15) Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1-25.
16) Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116.
17) Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2020). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 1-38.
18) RMS, A. S., & Purba, J. (2019). Penentuan Karyawan Lembur Dengan Metode Analytical Hierarchy Process (AHP). Jurnal Inkofar, 1(2), 40–50.
19) Schoenherr, T., & Swink, M. (2015). The roles of supply chain intelligence and adaptability in new product launch success. Decision Sciences, 46(5), 901-936.
20) Shepherd, C., & Gunter, H. (2006). Measuring supply chain performance: current research and future directions. International Journal of Productivity and Performance Management, 55(3/4), 242-258.
21) Syamil, A., Subawa, S., Budaya, I., Munizu, M., Darmayanti, N. L., Fahmi, M. A., & Dulame, I. M. (2023). Manajemen Rantai Pasok. PT. Sonpedia Publishing Indonesia.
22) Trivedi, A. (2019). Seaweed Cultivation: An Emerging Agro-Industry. Agricultural Research & Technology: Open Access Journal, 21(2), 556159.
23) Zamroni, A., & Yamao, M. (2011). Coastal resource management: Fishermen’s perceptions of seaweed farming in Indonesia. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 5(8), 1308-1311.
