基于知识库的奶业农业可持续供应链风险框架模型

W. Septiani, Marimin Marimin, Y. Herdiyeni, L. Haditjaroko
{"title":"基于知识库的奶业农业可持续供应链风险框架模型","authors":"W. Septiani, Marimin Marimin, Y. Herdiyeni, L. Haditjaroko","doi":"10.1109/ICACSIS.2014.7065841","DOIUrl":null,"url":null,"abstract":"The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Framework model of sustainable supply chain risk for dairy agroindustry based on knowledge base\",\"authors\":\"W. Septiani, Marimin Marimin, Y. Herdiyeni, L. Haditjaroko\",\"doi\":\"10.1109/ICACSIS.2014.7065841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.\",\"PeriodicalId\":443250,\"journal\":{\"name\":\"2014 International Conference on Advanced Computer Science and Information System\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Advanced Computer Science and Information System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACSIS.2014.7065841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Computer Science and Information System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS.2014.7065841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

本文的目的是建立一个基于知识库的乳制品行业可持续供应链风险的框架模型。提出了一个集成风险供应链和知识库系统的概念框架。乳制品的临界点位于产品易损坏的特点上。因处理不当而被细菌污染的风险受损乳制品。风险发生在从农民、合作社到乳制品加工业的供应链网络中的每一项活动中。供应链风险结构化方法分为风险识别、风险度量和风险评估、风险评价和风险缓解以及应急计划等阶段;以及基于知识库系统的风险控制与监控系统。在风险供应链中加入知识库组件将产生以下过程:知识库风险捕获、知识库风险发现、知识库风险检查、知识库风险共享、知识库风险评估和知识库风险存储。风险因素、风险及其后果之间的关系用失效模式与影响分析(FMEA)和层次风险分解结构(HRBS)来表示。运用语言变量和模糊逻辑对风险事件发生的可能性、风险之间的依赖程度和风险事件的严重程度进行量化。该系统采用智能决策支持系统(IDSS)设计。该模型的设计能够提高农产产业风险乳制品供应链中知识组织、知识存储和知识共享决策的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Framework model of sustainable supply chain risk for dairy agroindustry based on knowledge base
The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Model prediction for accreditation of public junior high school in Bogor using spatial decision tree Campaign 2.0: Analysis of social media utilization in 2014 Jakarta legislative election Performance of robust two-dimensional principal component for classification Extending V-model practices to support SRE to build secure web application A comparison of backpropagation and LVQ: A case study of lung sound recognition
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1