{"title":"新加坡市场印尼芒果可持续供应链风险分析","authors":"Dwi Maulida, D. Andriani","doi":"10.21776/ub.habitat.2022.033.3.26","DOIUrl":null,"url":null,"abstract":"UD WN Mango Sultan, Gresik succeeded in exporting 1 ton of mangoes to Singapore in 2021. However, exports are still not sustainable because they are constrained by several risks faced in the mango supply chain. To support the development of mango sales, it is inseparable from good and sustainable supply chain management. Good supply chain management can reduce or anticipate the risks that are often faced by every supply chain actor. To reduce the impact of emerging risks, it is necessary to identify priority risks for further risk mitigation actions. This study aims to identify risks seen from the perception of each sustainable supply chain actor and evaluate the highest priority risk of each sustainable supply chain actor in mango commodities. The study uses primary data by conducting interviews and filling out questionnaires by informants from businessmen, farmers, and collector of mango commodity in Gresik District. Fuzzy Failure Mode and Effect Analysis (FFMEA) technique is used to determine the priority of risk mitigation efforts. The results show that there are 16 risk components for UD WN Mango Sultan and collectors, and 11 risk components for farmers. Meanwhile, the priority risks for farmers, collectors, and UD WN Mango Sultan are operational risk (5,355), social risk (7,414), and environmental risk (7,917).","PeriodicalId":55706,"journal":{"name":"Habitat","volume":"36 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Analysis of Indonesian Mango Sustainable Supply Chain For Singapore Market\",\"authors\":\"Dwi Maulida, D. Andriani\",\"doi\":\"10.21776/ub.habitat.2022.033.3.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"UD WN Mango Sultan, Gresik succeeded in exporting 1 ton of mangoes to Singapore in 2021. However, exports are still not sustainable because they are constrained by several risks faced in the mango supply chain. To support the development of mango sales, it is inseparable from good and sustainable supply chain management. Good supply chain management can reduce or anticipate the risks that are often faced by every supply chain actor. To reduce the impact of emerging risks, it is necessary to identify priority risks for further risk mitigation actions. This study aims to identify risks seen from the perception of each sustainable supply chain actor and evaluate the highest priority risk of each sustainable supply chain actor in mango commodities. The study uses primary data by conducting interviews and filling out questionnaires by informants from businessmen, farmers, and collector of mango commodity in Gresik District. Fuzzy Failure Mode and Effect Analysis (FFMEA) technique is used to determine the priority of risk mitigation efforts. The results show that there are 16 risk components for UD WN Mango Sultan and collectors, and 11 risk components for farmers. Meanwhile, the priority risks for farmers, collectors, and UD WN Mango Sultan are operational risk (5,355), social risk (7,414), and environmental risk (7,917).\",\"PeriodicalId\":55706,\"journal\":{\"name\":\"Habitat\",\"volume\":\"36 21\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Habitat\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21776/ub.habitat.2022.033.3.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Habitat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21776/ub.habitat.2022.033.3.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
UD WN Mango Sultan,Gresik在2021年成功向新加坡出口了1吨芒果。然而,出口仍然不可持续,因为它们受到芒果供应链中面临的几个风险的限制。支持芒果销售的发展,离不开良好、可持续的供应链管理。良好的供应链管理可以减少或预测每个供应链参与者经常面临的风险。为了减少新出现风险的影响,有必要确定优先风险,以便采取进一步的风险缓解行动。本研究旨在从每个可持续供应链参与者的感知中识别风险,并评估芒果商品中每个可持续供应链条参与者的最高优先级风险。该研究通过对Gresik区商人、农民和芒果商品收集者进行访谈和填写问卷来使用原始数据。模糊失效模式和效果分析(FFMEA)技术用于确定风险缓解工作的优先级。结果表明,UD WN芒果苏丹和收集者有16个风险成分,农民有11个风险成分。同时,农民、收集者和UD WN Mango Sultan的首要风险是运营风险(5355)、社会风险(7414)和环境风险(7917)。
Risk Analysis of Indonesian Mango Sustainable Supply Chain For Singapore Market
UD WN Mango Sultan, Gresik succeeded in exporting 1 ton of mangoes to Singapore in 2021. However, exports are still not sustainable because they are constrained by several risks faced in the mango supply chain. To support the development of mango sales, it is inseparable from good and sustainable supply chain management. Good supply chain management can reduce or anticipate the risks that are often faced by every supply chain actor. To reduce the impact of emerging risks, it is necessary to identify priority risks for further risk mitigation actions. This study aims to identify risks seen from the perception of each sustainable supply chain actor and evaluate the highest priority risk of each sustainable supply chain actor in mango commodities. The study uses primary data by conducting interviews and filling out questionnaires by informants from businessmen, farmers, and collector of mango commodity in Gresik District. Fuzzy Failure Mode and Effect Analysis (FFMEA) technique is used to determine the priority of risk mitigation efforts. The results show that there are 16 risk components for UD WN Mango Sultan and collectors, and 11 risk components for farmers. Meanwhile, the priority risks for farmers, collectors, and UD WN Mango Sultan are operational risk (5,355), social risk (7,414), and environmental risk (7,917).