{"title":"不确定环境下弹性供应链网络设计","authors":"Honghua Shi, Yaodong Ni","doi":"10.1080/03081079.2023.2271134","DOIUrl":null,"url":null,"abstract":"AbstractModern supply chain operates in a highly uncertain environment caused by natural disasters and market changes. Such a fact has motivated academics and practitioners to pay more attention to the supply chain resilience. This paper reports on designing a resilient supply chain under uncertain environment by an uncertain programming method. The desired resilience level against disruption is achieved with less redundancy by controlling them in the presented models. And parameter uncertainty caused by the limited historical data is also addressed using uncertainty theory. To cope with the problem's complexity, we convert the proposed models into their deterministic formulations, which can easily be solved by cplex solver. The results from sensitivity analysis demonstrate the necessity of including uncertainty during the planning phase of supply chain network design. The performance of resilience constraint and the positive effect of sticker redundancy constraint in improving service level are also investigated fully.KEYWORDS: Uncertainty programmingsupply chain designdisruption riskparameter uncertainty Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAll data generated or used during the study appear in the submitted article.Additional informationFundingThis work was supported by the Fundamental Research Funds for the Central Universities in UIBE [22YB10], Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi [2022W067].","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"24 2","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilient supply chain network design under uncertain environment\",\"authors\":\"Honghua Shi, Yaodong Ni\",\"doi\":\"10.1080/03081079.2023.2271134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractModern supply chain operates in a highly uncertain environment caused by natural disasters and market changes. Such a fact has motivated academics and practitioners to pay more attention to the supply chain resilience. This paper reports on designing a resilient supply chain under uncertain environment by an uncertain programming method. The desired resilience level against disruption is achieved with less redundancy by controlling them in the presented models. And parameter uncertainty caused by the limited historical data is also addressed using uncertainty theory. To cope with the problem's complexity, we convert the proposed models into their deterministic formulations, which can easily be solved by cplex solver. The results from sensitivity analysis demonstrate the necessity of including uncertainty during the planning phase of supply chain network design. The performance of resilience constraint and the positive effect of sticker redundancy constraint in improving service level are also investigated fully.KEYWORDS: Uncertainty programmingsupply chain designdisruption riskparameter uncertainty Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAll data generated or used during the study appear in the submitted article.Additional informationFundingThis work was supported by the Fundamental Research Funds for the Central Universities in UIBE [22YB10], Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi [2022W067].\",\"PeriodicalId\":50322,\"journal\":{\"name\":\"International Journal of General Systems\",\"volume\":\"24 2\",\"pages\":\"0\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of General Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/03081079.2023.2271134\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of General Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03081079.2023.2271134","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Resilient supply chain network design under uncertain environment
AbstractModern supply chain operates in a highly uncertain environment caused by natural disasters and market changes. Such a fact has motivated academics and practitioners to pay more attention to the supply chain resilience. This paper reports on designing a resilient supply chain under uncertain environment by an uncertain programming method. The desired resilience level against disruption is achieved with less redundancy by controlling them in the presented models. And parameter uncertainty caused by the limited historical data is also addressed using uncertainty theory. To cope with the problem's complexity, we convert the proposed models into their deterministic formulations, which can easily be solved by cplex solver. The results from sensitivity analysis demonstrate the necessity of including uncertainty during the planning phase of supply chain network design. The performance of resilience constraint and the positive effect of sticker redundancy constraint in improving service level are also investigated fully.KEYWORDS: Uncertainty programmingsupply chain designdisruption riskparameter uncertainty Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementAll data generated or used during the study appear in the submitted article.Additional informationFundingThis work was supported by the Fundamental Research Funds for the Central Universities in UIBE [22YB10], Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi [2022W067].
期刊介绍:
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.