Supply chain process structure diagram for processing unit of Arabica Coffee Kintamani Bali
Keywords:
information flow, money flow, product flow, SCOR, supply chainAbstract
Supply Chain Operational Reference (SCOR) is an approach that can be used to map processes in the supply chain. Process mapping is very useful for understanding the flow of products, money and information. Process mapping can make it easier to evaluate supply chain management weaknesses. This paper aims to map the process flow using the SCOR approach at the Kintamani Bali Arabica coffee processing unit. SCOR contains a structured hierarchy of goods, money and information flow processes which are described in three levels. Level 1 in the supply chain of the Kintamani Bali Arabica coffee processing unit describes the implementation of the planning process, source, make, and delivery. Level 2 shows the process category which consists of two process categories based on stock for processing fresh coffee and based on order-based processes for processing green bean, roasted and ground coffee. Level 3 shows the stages of process elements in each category. This level starts from the entire supply chain planning process stage, to the customer order delivery process stage. The results of this paper describe the structure of the SCOR model at the Kintamani Bali Arabica coffee processing unit connecting all interrelated product, money and information flow processes.
Downloads
References
Delipinar, G. E., & Kocaoglu, B. (2016). Using SCOR model to gain competitive advantage: A Literature review. Procedia-Social and Behavioral Sciences, 229, 398-406. https://doi.org/10.1016/j.sbspro.2016.07.150
Georgise, F. B., Thoben, K. D., & Seifert, M. (2012). Adapting the SCOR model to suit the different scenarios: a literature review & research agenda. International Journal of Business and Management, 7(6), 2.
Grace, A. A. (2000). Gating of information flow within the limbic system and the pathophysiology of schizophrenia. Brain Research Reviews, 31(2-3), 330-341. https://doi.org/10.1016/S0165-0173(99)00049-1
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. https://doi.org/10.1016/j.cie.2005.01.001
Huang, T., Chen, Z., Wang, S., & Jiang, D. (2021). Efficiency evaluation of key ports along the 21st-Century Maritime Silk Road based on the DEA–SCOR model. Maritime Policy & Management, 48(3), 378-390.
Indonesian Central Statistics Agency. (2023). Statistik Kopi Indonesia 2022. Jakarta. BPS Indonesia
International Coffee Organization. (2023). Coffee Market Report-November 2023. https://www.icocoffee.org/documents/cy2023-24/cmr-1123.pdf
Jiang, G. J., & Yuksel, H. Z. (2017). What drives the “Smart-Money” effect? Evidence from investors’ money flow to mutual fund classes. Journal of Empirical Finance, 40, 39-58. https://doi.org/10.1016/j.jempfin.2016.11.005
Kasi, V. (2005). Systemic assessment of SCOR for modeling supply chains. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences (pp. 87b-87b). IEEE.
Kawalla, C., Ligarski, M., & Höck, M. (2019). Supply chain quality management of automotive components. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, (133), 69-83.
Markantonatou, V., Noguera-Méndez, P., Semitiel-García, M., Hogg, K., & Sano, M. (2016). Social networks and information flow: Building the ground for collaborative marine conservation planning in Portofino Marine Protected Area (MPA). Ocean & Coastal Management, 120, 29-38. https://doi.org/10.1016/j.ocecoaman.2015.11.023
Ntabe, E. N., LeBel, L., Munson, A. D., & Santa-Eulalia, L. A. (2015). A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues. International Journal of Production Economics, 169, 310-332. https://doi.org/10.1016/j.ijpe.2015.08.008
Persson, F., Bengtsson, J., & Gustad, Ö. (2010). Construction logistics improvements using the SCOR Model–Tornet case. In Advances in Production Management Systems. New Challenges, New Approaches: IFIP WG 5.7 International Conference, APMS 2009, Bordeaux, France, September 21-23, 2009, Revised Selected Papers (pp. 211-218). Springer Berlin Heidelberg.
Puger, A. W., Mahardika, I. G., Suarna, I. W., & Suryani, N. N. (2022). Growth and productivity of Kampung chicken fed with different protein levels. International Journal of Life Sciences, 6(2), 49–64. https://doi.org/10.53730/ijls.v6n2.9804
Qrunfleh, S., & Tarafdar, M. (2014). Supply chain information systems strategy: Impacts on supply chain performance and firm performance. International journal of production economics, 147, 340-350. https://doi.org/10.1016/j.ijpe.2012.09.018
Renneboog, L., Ter Horst, J., & Zhang, C. (2011). Is ethical money financially smart? Nonfinancial attributes and money flows of socially responsible investment funds. Journal of Financial Intermediation, 20(4), 562-588. https://doi.org/10.1016/j.jfi.2010.12.003
Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision support systems, 54(4), 1513-1520. https://doi.org/10.1016/j.dss.2012.05.053
Wang, W. Y., Chan, H. K., & Pauleen, D. J. (2010). Aligning business process reengineering in implementing global supply chain systems by the SCOR model. International journal of production research, 48(19), 5647-5669.
Zanon, L. G., Arantes, R. F. M., Calache, L. D. D. R., & Carpinetti, L. C. R. (2020). A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value. International Journal of Production Economics, 223, 107520. https://doi.org/10.1016/j.ijpe.2019.107520
Zhang, J., Brintrup, A., Calinescu, A., Kosasih, E., & Sharma, A. (2021). Supply chain digital twin framework design: an approach of supply chain operations reference model and system of systems. arXiv preprint arXiv:2107.09485.
Published
How to Cite
Issue
Section
Copyright (c) 2024 International journal of life sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Life Sciences (IJLS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJLS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJLS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJLS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.