A literature review and gap analysis indentifies key limitations of industry best practice when modelling of supply chains. To address these limitations the paper reportson the conception and development of an integrated modelling methodology designedto underpin the analytical design of complex supply chains. The methodology is based upon a systematic deployment of EM, CLD, and SM techniques; the integration of which isachieved via common modellingconcepts and decomposition principles. Thereby the methodology facilitates: i graphical representation and description ofkey “processing”, “resourcing” and “work flow” properties ofsupply chain configurations; ii behavioural exploration ofcurrently configured supply chains, to facilitatereasoning about uncertain demand impacts on supply, make,delivery, and return processes;
iii predictive quantification about relativeperformances of alternative complex supply chain configurations, includingrisk assessments. Guidelines for the application of each step of the methodology are described. Also described are recommended data collection methods and expected modellingoutcomes for each step. Themethodology is being extensively case tested to quantify potentialbenefits & costs relative to current best industry practice.The paper reflects on preliminary benefits gained during industry based case study modellingand identifies areas of potential improvement.



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