Analysing supply chain operation dynamics through logic-based modelling and simulation

摘要: Supply Chain Management (SCM) is becoming increasingly important in the modern business world. In order to effectively manage and integrate a supply chain (SC), deep understanding of overall SC operation dynamics needed. This involves how decisions, actions interactions between members affect each other, these relate performance disruptions. Achieving such an not easy task, given complex dynamic nature chains. Existing simulation approaches do provide explanation results, while related work on disruption analysis studies disruptions separately from performance. thesis presents logic-based approach for modelling, simulating explaining that fills gaps. are modelled as logicbased intelligent agents consisting reasoning layer, represented through rules, process processes communication communicative actions. The model declaratively formalised, rule-based specification provided execution semantics formal model, thus driving operation. choice enables automated generation explanations about simulated behaviours. included causal defined, capturing relationships different types low way, can be generated occurred was analytically empirically evaluated with participation SCM experts. results indicate following: Firstly, useful, it allows higher efficiency, correctness certainty compared case no support. Secondly, improves domain non-SCM experts respect their efficiency; improvement significantly prior system use, without loss efficiency. Thirdly, maintainability reusability input models, developed system.