作者: Chris Owen , Douglas Love , Pavel Albores
DOI:
关键词: Management science 、 Industrial engineering 、 System dynamics 、 Strengths and weaknesses 、 Advice (complexity) 、 Supply chain 、 Effective method 、 Discrete event simulation 、 Engineering 、 Domain (software engineering) 、 Empirical evidence
摘要: Simulation is an effective method for improving supply chain performance. However, there limited advice available to assist practitioners in selecting the most appropriate a given problem. Much of that does exist relies on custom and practice rather than rigorous conceptual or empirical analysis. An analysis different modelling techniques applied domain was conducted, three main approaches simulation used were identified; these are System Dynamics (SD), Discrete Event (DES) Agent Based Modelling (ABM). This research has examined two stages. Firstly, first principles carried out order challenge received wisdom about their strengths weaknesses series propositions developed from this initial The second stage use case study approach test provide further evidence support comparison. contributions both terms knowledge practice. In knowledge, holistic cross paradigm comparison domain. Case studies have involved building ‘back back’ models same problem using SD discrete (either DES ABM). led concerning limitations applying operational types. also been found risks when strategic policy problems. methods potential exploring It can model material information feedback successfully. Further insights gained into relationship between purpose approach. practice, findings summarised form framework linking purpose, characteristics