DOI : https://doi.org/10.29165/ajarcde.v10i3.1278

Supply Chain Risk Management for Native Chicken in Taliwang Chicken Culinary Businesses in Mataram City: An Integrated FMEA–AHP Approach

Muh. Prasetyo Nugroho (1), I Gusti Agung Ayu Ambarawati (2), Budi Rahayu Tanama Putri (3), Djoko kisworo (4), Bulkaini Bulkaini (5), Novizar Nazir (6)
(1) Animal Science Resource Management Study Program, Faculty of Animal Science, University of Mataram, Mataram, West Nusa Tenggara, Indonesia
(2) Faculty of Agriculture Udayana University, Denpasar-Bali, Indonesia
(3) Faculty of Animal Science, Udayana University, Denpasar, Bali, Denpasar-Bali, Indonesia
(4) Faculty of Animal Science , University of Mataram, West Nusa Tenggara, Indonesia
(5) Faculty of Animal Husbandry University of Mataram. Indonesia
(6) Faculty of Agricultural Technology Unand, Limau Manis Campus, Kota Padang, Sumatra Barat 25175, Indonesia
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How to cite (AJARCDE) :
Nugroho, M. P., Ambarawati, I. G. A. A., Tanama Putri, B. R., kisworo, D., Bulkaini, B., & Nazir, N. (2026). Supply Chain Risk Management for Native Chicken in Taliwang Chicken Culinary Businesses in Mataram City: An Integrated FMEA–AHP Approach. AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment), 10(3), 518–523. https://doi.org/10.29165/ajarcde.v10i3.1278
Citation Format :

Taliwang chicken is a traditional culinary icon of Lombok, Indonesia, and its supply chain, involving farmers, collectors, and restaurants, faces significant operational vulnerabilities. This study maps the native chicken supply chain using SCOR, identifies failure modes using FMEA, and determines risk priorities using AHP based on survey data from 58 respondents. The supply chain operates linearly from producers to restaurants. Integrating FMEA and AHP identifies price and market risks as the most dominant category (weight: 0.42), with live chicken price fluctuations ranking as the top-priority risk (weighted RPN: 161.28), followed by limited DOC supply, disease mortality, intermediary reliance, and low institutional support. Conclusion: Supply chain stability depends heavily on mitigating price volatility and securing stable inputs.
Contribution to Sustainable Development Goals (SDGs):


SDG 2: Zero Hunger
SDG 8: Decent Work and Economic Growth
SDG 9 : Industry, Innovation and Infrastructure
SDG 11 : Sustainable Cities and Communities
SDG 12: Responsible Consumption and Production

[1] BPS, (2026). West Nusa Tenggara in Figures, Poultry population by regency/municipality and type of poultry in West Nusa Tenggara Province, 2025. Statistics Indonesia of West Nusa Tenggara Province

[2]. Ba?aran, S., and Ighagbon, O. A. (2024). Enhanced FMEA methodology for evaluating mobile learning platforms using Grey Relational Analysis and Fuzzy AHP. Applied Sciences, 14(19), 8844. https://doi.org/10.3390/app14198844

[3]. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98. https://doi.org/10.1504/IJSSCI.2008.017590

[4]. Gonçalves H. O., Amaral, R., Pereira, J. C. (2026). A Hybrid FMEA-AHP Framework for Risk Prioritization in Nontransparent Artificial Intelligence Systems. Risk Analysis, 46(7), e70297. https://doi.org/10.1111/risa.70297

[5]. Kuizinait?, J., Mork?nas, M., Volkov, A. (2023). Assessment of the Most Appropriate Measures for Mitigation of Risks in the Agri-Food Supply Chain. Sustainability, 15(12), 9378. https://doi.org/10.3390/su15129378

[6]. Imbiri, S., Rameezdeen, R., Chileshe, N., Statsenko, L. (2021). A novel taxonomy for risks in agribusiness supply chains: A systematic literature review. Sustainability, 13(16), 9217. https://doi.org/10.3390/su13169217

[7]. Fan, S., Cho, E. E., Meng, T., Rue, C. (2021). How to prevent and cope with coincidence of risks to the global food system. Annual Review of Environment and Resources, 46, 701–728. https://doi.org/10.1146/annurev-environ-012220-020844

[8]. Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552. https://doi.org/10.1080/00207543.2021.1890852

[9]. Choudhary, N. A., Singh, S., Schoenherr, T., Ramkumar, M. (2022). Risk assessment in supply chains: A state-of-the-art review of methodologies and their applications. Annals of Operations Research, 322(2), 565–607. https://doi.org/10.1007/s10479-022-04700-9

[10]. Ouyang, L. (2022). Survey of FMEA methods with improvement on performance inconsistency. Quality and Reliability Engineering International, 38(6), 2994–3020. https://doi.org/10.1002/qre.3059

[11]. Detcharat, S., and Sirima, S. (2022). Fuzzy failure mode and effect analysis model for operational supply chain risks assessment: An application in canned tuna manufacturer in Thailand. Log Forum, 18(1), 77–96. https://doi.org/10.17270/J.LOG.2022.645

[12]. Lin, Q., Pei, X., Zhuang, J., Wang, D. (2025). An Integrated FMEA Method for Medical Human Reliability Analysis Based on DEMATEL and TOPSIS in Interval-Valued Intuitionistic Fuzzy Environment. Risk Analysis, 45(11), 3819–3838. https://doi.org/10.1111/risa.70113

[13]. Liu, H., You, J. X., Shan, M. M., Shao, L. N. (2022). Failure mode and effect analysis using multi-criteria decision-making methods: A systematic literature review. Computers & Industrial Engineering, 169, 108159. https://doi.org/10.1016/j.cie.2022.108159

[14]. Chaudhry, M. I., and Miranda, M. J. (2024). Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan. American Journal of Agricultural Economics, 106(2), 637–658. https://doi.org/10.1111/ajae.12394

[15]. Altubaishe, B., and Desai, S. (2023). Multicriteria decision making in supply chain management using FMEA and hybrid AHP-PROMETHEE algorithms. Sensors, 23(8), 4041. https://doi.org/10.3390/s23084041

[16]. Esteso, A., Alemany, M. M. E., Ottati, F., Ortiz, Á. (2023). System dynamics model for improving the robustness of a fresh agri-food supply chain to disruptions. Operational Research, 23, Article 28. https://doi.org/10.1007/s12351-023-00769-7

[17]. Fahadha, R. U., and Sutarto, S. (2025). Design of optimization strategy-based halal supply chain at a meat market in Indonesia. Asian Journal of Islamic Management, 7(1), 154–165. https://doi.org/10.20885/AJIM.vol7.iss1.art9

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