Performance Analysis of the Cake Ingredients Supply Chain Integration of Scor And Fuzzy AHP
DOI:
https://doi.org/10.59976/jurit.v2i1.64Keywords:
Fuzzy AHP, SCOR, Supply Chain Management (SCM)Abstract
In the concept of supply chain, suppliers are one part of supply that is very important and very influential on the growth and sustainability of UMKM themselves, in the production pro- cess UMKM ABC use raw materials where UMKM must have the best suppliers in order to meet consumer satisfaction and not cause problems during the production process. The research conducted aims to determine the indicators that affect the supply chain in UMKM ABC As well as knowing how much supply chain performance value has been achieved by UMKM ABC and also providing proposals for improving performance improvement strategies for UMKM ABC. To solve these problems, supply chain performance measure- ments are carried out using the SCOR (Supply Chain Operation Refer- ence) and F-AHP (Fuzzy Analitycal Hierarcy Process) methods. This method aims to give weight to each matrix, so that performance tribute can be known that supports supply chain effectiveness. There are 12 selected performance indicators with a Supply Chain Management value of 71.20 in the good category
Downloads
References
A. K. Gupta, “Sustainable Supplier Selection Criteria for HVAC Manufacturing Firms: A Multi-Dimensional Perspective Using the Delphi–Fuzzy AHP Method,” Logistics, vol. 8, no. 4, 2024, doi: 10.3390/logistics8040103.
Z. Y. Zhuang, “Another empirical application of the similarity confirmation method in evaluating the MADM methods for a type-selection decision case before bulk purchase,” 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109000835&origin=inward
M. Çolak, “A multi-criteria evaluation model based on hesitant fuzzy sets for blockchain technology in supply chain management,” J. Intell. Fuzzy Syst., vol. 38, no. 1, pp. 935–946, 2020, doi: 10.3233/JIFS-179460.
Y. Zhou, “Evaluating and prioritizing the green supply chain management practices in Pakistan: Based on Delphi and fuzzy AHP approach,” Symmetry (Basel)., vol. 11, no. 11, 2019, doi: 10.3390/sym11111346.
T. Althaqafi, “Supply Chain Risk Analysis through the Computational Method,” Int. J. Fuzzy Log. Intell. Syst., vol. 24, no. 4, pp. 343–359, 2024, doi: 10.5391/IJFIS.2024.24.4.343.
T. Paksoy, “A new model for lean and green closed-loop supply chain optimization,” 2019. doi: 10.1007/978-3-319-97511-5_2.
A. Çalik, “A COMPARATIVE PERSPECTIVE IN SUSTAINABLE SUPPLIER SELECTION BY INTEGRATED MCDM TECHNIQUES,” Sigma J. Eng. Nat. Sci., vol. 38, no. 2, pp. 835–852, 2020, [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129440890&origin=inward
B. D. Tasdemir, “Sustainable Supplier Selection in the Defense Industry with Multi-criteria Decision-Making Methods,” 2024. doi: 10.1007/978-981-99-6062-0_10.
M. Kumar, “Integration of RFID strategic value attributes mechanism decision in apparel supply chain: fuzzy AHP-TOPSIS approach,” J. Model. Manag., vol. 18, no. 4, pp. 1022–1063, 2023, doi: 10.1108/JM2-11-2021-0283.
M. R. N. M. Qureshi, “A Bibliometric Analysis of Third-Party Logistics Services Providers (3PLSP) Selection for Supply Chain Strategic Advantage,” 2022. doi: 10.3390/su141911836.
M. Deepika, “Selection of ideal supplier in e-procurement for manufacturing industry using intuitionistic fuzzy AHP,” Int. J. Bus. Perform. Supply Chain Model., vol. 14, no. 1, pp. 56–78, 2023, doi: 10.1504/IJBPSCM.2023.130484.
M. Heydari, “A new model for the economic impact assessment of large-scale and deep open-pit mines,” Int. J. Min. Reclam. Environ., vol. 38, no. 1, pp. 1–26, 2024, doi: 10.1080/17480930.2023.2243175.
T. Hartanto, “A Fuzzy Analytic Hierarchy Process Approach for Determining the Criteria Success Factors of MRT Parts’ e-Procurement: The Case of Jakarta MRT Project,” 2019. doi: 10.1088/1757-899X/528/1/012001.
Shweta, “Analysis of issues of generic medicine supply chain using fuzzy AHP: a Pilot study of Indian public drug distribution scheme,” Int. J. Pharm. Healthc. Mark., vol. 15, no. 1, pp. 18–42, 2021, doi: 10.1108/IJPHM-12-2019-0078.
P. Chatterjee, “A two-phase fuzzy ahp ⇓ fuzzy topsis model for supplier evaluation in manufacturing environment,” Oper. Res. Eng. Sci. Theory Appl., vol. 2, no. 1, pp. 72–90, 2019, doi: 10.31181/oresta1901060c.
F. H. Kurniawan, “Supplier selection in rank order using fuzzy ahp and fuzzy molp with sensitivity analysis,” 2020. doi: 10.1088/1742-6596/1524/1/012094.
“International Conference on Advanced Production and Industrial Engineering, ICAPIE 2019,” 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135144115&origin=inward
G. Büyüközkan, “A novel approach integrating ahp and copras under pythagorean fuzzy sets for digital supply chain partner selection,” IEEE Trans. Eng. Manag., vol. 68, no. 5, pp. 1486–1503, 2021, doi: 10.1109/TEM.2019.2907673.
M. Kumar, “An integrated approach of fuzzy AHP and fuzzy TOPSIS in modelling contractual design of supply chain inventory coordination mechanism,” Int. J. Manag. Decis. Mak., vol. 18, no. 4, pp. 407–454, 2019, doi: 10.1504/ijmdm.2019.102617.
Y. Ali, “RESILIENCE ENHANCEMENT OF TOURISM SUPPLY CHAIN AMID UNCERTAIN SITUATIONS: DEVELOPING COUNTRIES, A CASE IN POINT,” Int. J. Anal. Hierarchy Process, vol. 16, no. 3, 2024, doi: 10.13033/ijahp.v16i3.1280.
D. L. Trenggonowati, “Analysis and strategy of supply chain risk mitigation using fuzzy failure mode and effect analysis (fuzzy fmea) and fuzzy analytical hierarchy process (fuzzy ahp),” 2020. doi: 10.1088/1757-899X/909/1/012085.
P. L. Meena, “Supplier performance and selection from sustainable supply chain performance perspective,” Int. J. Product. Perform. Manag., vol. 72, no. 8, pp. 2420–2445, 2023, doi: 10.1108/IJPPM-01-2022-0024.
M. Asrol, “Risk management for improving supply chain performance of sugarcane agroindustry,” Ind. Eng. Manag. Syst., vol. 20, no. 1, pp. 9–26, 2021, doi: 10.7232/iems.2021.20.1.9.
B. H. Sandita, “Designing procurement performance measurement system in engineer to order manufacturing company using SCOR and fuzzy AHP method,” 2024. doi: 10.1063/5.0192728.
M. Nazam, “Modeling the barriers of sustainable supply chain practices: A Pakistani perspective,” 2020. doi: 10.1007/978-3-030-21255-1_27.
M. Heydari, “Developing a new social impact assessment model for deep open-pit mines,” Resour. Policy, vol. 82, 2023, doi: 10.1016/j.resourpol.2023.103485.
S. Çıkmak, “Evaluation of the effects of blockchain technology characteristics on SCOR model supply chain performance measurement attributes using an integrated fuzzy MCDM methodology,” Int. J. Logist. Res. Appl., vol. 27, no. 6, pp. 1015–1045, 2024, doi: 10.1080/13675567.2023.2193736.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Santi Nurul Azizah, Teguh Putra, Marsidah Khairani
This work is licensed under a Creative Commons Attribution 4.0 International License.
