{"title":"Impact of cooperation uncertainty on the robustness of manufacturing service system","authors":"P. Liang, C. Li","doi":"10.14743/APEM2019.2.321","DOIUrl":null,"url":null,"abstract":"The cooperation between enterprises is actually at a certain risk of interruption, which has a significant impact on the robustness of manufacturing service system (MSS). Evaluating MSS’ robustness is integral to production and service provisioning, and thus the influence mechanism should be clearly revealed for assisting professionals in the company in improving the robust performance. In this paper, we present an effective methodology for explicating the impact of cooperation uncertainty on the robustness of MSS from a complex system standpoint. This methodology characterizes MSS as a topological network consisting of serval service subsystems, and constructs the measure metrics system of which the validity and applicability are proved theoretically from the dimension of structure and performance. Furthermore, it simulates the cooperation interruption from four different scenarios with algorithms, and finally takes an elevator manufacturing service network as the case to illustrate this novel methodology. The simulation findings suggest that identifying the critical paths in MSS and standardizing the cooperation mechanism within and among core manufacturing service principals outperform the other measures in improving the robustness of MSS.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"8 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2019-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Production Engineering & Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.14743/APEM2019.2.321","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 1
Abstract
The cooperation between enterprises is actually at a certain risk of interruption, which has a significant impact on the robustness of manufacturing service system (MSS). Evaluating MSS’ robustness is integral to production and service provisioning, and thus the influence mechanism should be clearly revealed for assisting professionals in the company in improving the robust performance. In this paper, we present an effective methodology for explicating the impact of cooperation uncertainty on the robustness of MSS from a complex system standpoint. This methodology characterizes MSS as a topological network consisting of serval service subsystems, and constructs the measure metrics system of which the validity and applicability are proved theoretically from the dimension of structure and performance. Furthermore, it simulates the cooperation interruption from four different scenarios with algorithms, and finally takes an elevator manufacturing service network as the case to illustrate this novel methodology. The simulation findings suggest that identifying the critical paths in MSS and standardizing the cooperation mechanism within and among core manufacturing service principals outperform the other measures in improving the robustness of MSS.
期刊介绍:
Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.