Performance measurement of organic tea supply chain with supply chain operation references (Case study of active tegal subur farmer group, Kulon Progo)

Irwan Soejanto, Ferdiansyah Aji Pratama, Eko Nursubiyantoro

Abstract


Tegal Subur Aktif Farmer Group is one of the organic tea producers located in Menoreh Hills, precisely in Nglinggo, Pagerharjo, Samigaluh, Kulon Progo. The efforts carried out by this farmer group include the procurement of tea ingredients, the provision of production facilities, the cultivation and maintenance of tea plants, the processing of agricultural products and trade in general. Processed organic tea products, such as green, black, yellow, and roasted, are produced.   Farmer groups have uncertain orders that can only be fulfilled partially, which can still affect customer satisfaction. In total, there are 95.39% of uncertain orders that can be fulfilled in the period August 2021 – March 2022. This is related to production planning with actual production caused by uncertain or regular supply of raw materials. If the collection of raw material supply is still carried out, it causes cost losses in collecting raw materials. The Tegal Subur Aktif Farmer Group has never measured its supply chain performance. If measurement is not carried out, supply chain performance may develop slowly. This study aims to measure the organic tea supply chain's performance and determine which indicators need improvement. This research uses the Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP) methods. Based on the data processing carried out, by measuring supply chain performance with Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP), the supply chain performance of the Active Tegal Subur Farmer Group can be improved.


Keywords


Organic tea, Supply chain, Supply Chain Operation References, Analysis Hierarchy Process (AHP)

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References


A. Maddeppungeng, “Pengaruh Manajemen Rantai Pasok (MRP) Pada Daya Saing Dan Kinerja Perusahaan Jasa Konstuksi di DKI - Jakarta,” Jurnal Pengaruh Manajemen Rantai Pasok pada Perusahaan Jasa Konstuksi , pp. 1–23, 2017.

S. Hartini, S. Hasibuan, and K. F. Kodrat, “Analisis Key Performance Indicator Sebagai Alat Pengukuran Kinerja,” in TALENTA Conference Series: Energy & Engineering, 2019, pp. 141–150.

B. P. T. Rachmawan, “Pengaruh Manajemen Rantai Pasok Terhadap Kinerja Perusahaan Studi Kasus Careffour Ambarukmo Plaza Yogyakarta,” 2018.

V. Jain, S. Kumar, A. Mostofi, and M. Arab Momeni, “Sustainability performance evaluation of the E-waste closed-loop supply chain with the SCOR model,” Waste Management, vol. 147, pp. 36–47, Jun. 2022, doi: 10.1016/j.wasman.2022.05.010.

D. A. A. Pertiwi, M. Yusuf, and D. A. Efrilianda, “Operational Supply Chain Risk Management on Apparel Industry Based on Supply Chain Operation Reference (SCOR),” Journal of Information System Exploration and Research, vol. 1, no. 1, pp. 17–24, Dec. 2022, doi: 10.52465/joiser.v1i1.103.

I. N. Pujawan, Supply Chain Management. Surabaya: Guna Widya, 2005.

Supply Chain Council, “Supply Chain Operations Reference Model - Overview ,” in Supply Chain Operations Management, APICS Inc., 2012.

R. Wahyuniardi, Moh. Syarwani, and R. Anggani, “Pengukuran Kinerja Supply Chain Dengan Pendekatan Supply Chain Operation References (SCOR),” Jurnal Ilmiah Teknik Industri, vol. 16, no. 2, p. 123, Dec. 2017, doi: 10.23917/jiti.v16i2.4118.

E. Gonzalez-Pascual, J. Nosedal-Sanchez, and J. Garcia-Gutierrez, “Performance evaluation of a road freight transportation company through SCOR metrics,” Case Stud Transp Policy, vol. 9, no. 4, pp. 1431–1439, Dec. 2021, doi: 10.1016/j.cstp.2021.07.001.

S. Butdee and P. Phuangsalee, “Uncertain risk assessment modelling for bus body manufacturing supply chain using AHP and fuzzy AHP,” in Procedia Manufacturing, Elsevier B.V., 2019, pp. 663–670. doi: 10.1016/j.promfg.2019.02.094.

R. Krishnan, P. Yen, R. Agarwal, K. Arshinder, and C. Bajada, “Collaborative innovation and sustainability in the food supply chain- evidence from farmer producer organisations,” Resour Conserv Recycl, vol. 168, May 2021, doi: 10.1016/j.resconrec.2020.105253.

A. Handayani and C. Y. Setyatama, “Analysis of Supply Chain Management Performance using SCOR and AHP Methods In Green Avenue Apartments of East Bekasi,” Journal of Applied Science, Engineering, Technology, and Education, vol. 1, no. 2, pp. 141–148, Dec. 2019, doi: 10.35877/454ri.asci1241.

F. Saleheen and M. M. Habib, “Embedding attributes towards the supply chain performance measurement,” Cleaner Logistics and Supply Chain, vol. 6, Mar. 2023, doi: 10.1016/j.clscn.2022.100090.

A. Risyaldi, M. Nusran, and D. Lantara, “Studi Produk Halal Daging Ayam Potong Dengan Pendekatan Rantai Pasok (Supply Chain) Di Makassar.”

F. R. Lima-Junior and L. C. R. Carpinetti, “Predicting supply chain performance based on SCOR ® metrics and multilayer perceptron neural networks,” Int J Prod Econ, vol. 212, pp. 19–38, Jun. 2019, doi: 10.1016/j.ijpe.2019.02.001.

J. Wang, L. Zhu, L. Feng, and J. Feng, “A meta-analysis of sustainable supply chain management and firm performance: Some new findings on sustainable supply chain management,” Sustain Prod Consum, vol. 38, pp. 312–330, Jun. 2023, doi: 10.1016/j.spc.2023.04.015.

R. Xiao, Z. Cai, and X. Zhang, “An optimization approach to cycle quality network chain based on improved SCOR model,” Progress in Natural Science, vol. 19, no. 7, pp. 881–890, 2009, doi: 10.1016/j.pnsc.2008.11.004.

M. Hugos, Essentials of Supply Chain Management. New Jersey.: John Wiley & Sons, Inc., 2003.

J. , Geunes and P. M. Pardalos, Supply Chain Optimization. New York: Springer Science+Business Media, Inc. , 2005.

C. Chandra and J. Grabis, Supply Chain Configuration: Concepts, Solutions and Applications. New York: Springer Science+Business Media, 2007.

S. A. Melnyk, D. M. Stewart, and M. Swink, “Metrics and performance measurement in operations management: Dealing with the metrics maze,” Journal of Operations Management, vol. 22, no. 3, pp. 209–218, 2004, doi: 10.1016/j.jom.2004.01.004.

Agus, Manajemen Organisasi. Mataram. Institut Agama Islam Negeri (IAIN) Mataram., 2016.

H. Volby, Performance Measurement and Improvement Supply Chain. Thienekers., 2000.

T. L. Saaty, Pengambilan Keputusan Bagi Para Pemimpin. PT Pustaka Binaman Pressindo, 1993.

A. E. Munthafa and H. Mubarok, “Penerapan Metode Analytical Hierarchy Process Dalam Pendukung Keputusan Mahasiswa Berprestasi.,” Siliwangi, vol. 3, no. 2, pp. 192–201, 2017.

Tegal Subur Farmer Group, “The Active Tegal Subur Farmer Group,” Yogyakarta, 2022.




DOI: https://doi.org/10.31315/opsi.v17i1.11036

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