Design of an Integrated Methodology for Analytical Design of Complex Supply Chains
Author(s) -
Shahid Rashid,
Richard Weston
Publication year - 2012
Publication title -
advances in decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 13
eISSN - 2090-3367
pISSN - 2090-3359
DOI - 10.1155/2012/589254
Subject(s) - supply chain , computer science , key (lock) , software deployment , risk analysis (engineering) , supply chain management , supply chain risk management , work (physics) , representation (politics) , systems engineering , process management , operations research , management science , service management , business , engineering , mechanical engineering , computer security , marketing , politics , law , political science , operating system
A literature review and gap analysis indentifies key limitations of industry best practice when modelling of supply chains. To address these limitations the paper reports on the conception and development of an integrated modelling methodology designed to 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 is achieved via common modelling concepts and decomposition principles. Thereby the methodology facilitates: (i) graphical representation and description of key “processing”, “resourcing” and “work flow” properties of supply chain configurations; (ii) behavioural exploration of currently configured supply chains, to facilitate reasoning about uncertain demand impacts on supply, make, delivery, and return processes; (iii) predictive quantification about relative performances of alternative complex supply chain configurations, including risk assessments. Guidelines for the application of each step of the methodology are described. Also described are recommended data collection methods and expected modelling outcomes for each step. The methodology is being extensively case tested to quantify potential benefits & costs relative to current best industry practice. The paper reflects on preliminary benefits gained during industry based case study modelling and identifies areas of potential improvement
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