Supply Chain Risk Mitigation of Enting Geti with Fuzzy Failure Mode and Effect Analysis and Analytical Hierarchy Process (Case Study at Small Medium Enterprises of Kuda Terbang, Blitar District, East Java Province, Indonesia)

S. Mustaniroh, Dania Radyarini, R. L. R. Silalahi
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Abstract

The aim of study are to identify, measure and assess supply chain risks and to determine strategy alternatives to reduce the risk of supply chains at SMEs Kuda Terbang. SMEs Kuda Terbang is one of the business entities producing enting geti in the center of enting geti production in Kademangan, Blitar regency. Problems that occur in the supply chain are low availability of raw materials, production equipment using traditional equipment and fluctuating market demand. The method used in this study is Fuzzy FMEA and AHP. Variables used in this study were ingredients, production and products. Expert respondents used in this study amounted to 6 people for supply chain risk assessment and 2 persons for the determination of supply chain risk mitigation strategies consisting of suppliers, companies, retailers and academics. The risks identified in the ingredients variables are 4 risks, 7 risks on the production variable and 5 risks on the product variables. The highest risk in ingredients variable is the fluctuating ingredients prices (FRPN of 5.67), in production variable is the uncertain production schedule (FRPN of 6.87) and in product variable is the product return (FRPN of 6.83). The priority strategy of supply chain risk mitigation of enting geti at SMEs Kuda Terbang is the quality control with the weight of 0.35.
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基于模糊失效模式、效果分析和层次分析法的丁盖提供应链风险缓解研究(以印尼东爪哇省布利塔区库达特邦中小企业为例)
研究的目的是识别,测量和评估供应链风险,并确定战略替代方案,以减少中小企业的供应链风险Kuda Terbang。Kuda Terbang中小企业是英国摄政卡德曼丁丁生产中心生产丁丁丁丁的企业实体之一。供应链中出现的问题是原材料供应不足、使用传统设备的生产设备以及市场需求波动。本研究采用模糊FMEA和层次分析法。本研究中使用的变量是成分、生产和产品。本研究中使用的专家答复者为6人,负责供应链风险评估,2人负责确定供应链风险缓解战略,包括供应商、公司、零售商和学者。成分变量识别的风险为4个,生产变量识别的风险为7个,产品变量识别的风险为5个。成分变量风险最高的是成分价格波动(FRPN为5.67),生产变量风险最高的是不确定的生产计划(FRPN为6.87),产品变量风险最高的是产品收益(FRPN为6.83)。库达特邦中小企业供应链风险缓解的优先策略为质量控制,权重为0.35。
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