{"title":"Conceptual Framework for Knowledge Management Support in Logistics and Supply Chain Simulation","authors":"G. Neumann","doi":"10.1109/AMS.2007.27","DOIUrl":null,"url":null,"abstract":"This paper relates logistics and supply chain modeling and simulation to knowledge flow analysis and knowledge management methodology. Knowledge gained in the course of a simulation project quite often remains in the heads of the people involved in the project. It is not sufficiently externalized because documentation tasks are time-consuming, seen as an add-on to the real problem-solving process and poorly supported. As a result, project-specific knowledge about assumptions, decisions, modeling philosophy, implementation, experiments and results is not kept but lost, even if it is retained by the people involved. As a contribution to overcoming this problem, logistics simulation knowledge is identified and processes of knowledge sharing, creation and acquisition in the course of a logistics simulation project are analyzed. Although closely related to logistics and supply chain simulation, the methods proposed are easily adapted to other application areas of modeling and simulation - and should be applied to them as well","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Asia International Conference on Modelling & Simulation (AMS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2007.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper relates logistics and supply chain modeling and simulation to knowledge flow analysis and knowledge management methodology. Knowledge gained in the course of a simulation project quite often remains in the heads of the people involved in the project. It is not sufficiently externalized because documentation tasks are time-consuming, seen as an add-on to the real problem-solving process and poorly supported. As a result, project-specific knowledge about assumptions, decisions, modeling philosophy, implementation, experiments and results is not kept but lost, even if it is retained by the people involved. As a contribution to overcoming this problem, logistics simulation knowledge is identified and processes of knowledge sharing, creation and acquisition in the course of a logistics simulation project are analyzed. Although closely related to logistics and supply chain simulation, the methods proposed are easily adapted to other application areas of modeling and simulation - and should be applied to them as well