TY - GEN
T1 - A review of supply chain complexity drivers
AU - Serdar-Asan, Seyda
PY - 2011
Y1 - 2011
N2 - Studies on supply chain complexity mainly use the static and dynamic complexity distinction. While static complexity describes the structure of the supply chain, the number and the variety of its components and strengths of interactions between these; the dynamic complexity represents the uncertainty in the supply chain and involves the aspects of time and randomness. This distinction is also valid when classifying the drivers of supply chain complexity according to the way they are generated. Supply chain complexity drivers (e.g., number/variety of suppliers, number/variety of customers, number/variety of interactions, conflicting policies, demand amplification, differing/ conflicting/ non-synchronized decisions and actions, incompatible IT systems) play a significant and varying role in dealing with complexity of the different types of supply chains (e.g., food, chemical, electronics, automotive). This paper reviews the typical complexity drivers that are faced in different types of supply chains and presents the complexity driver and solution strategy pairings, in the form of a matrix, extracted from reallife supply chain situations gathered from multiple existing sources; such as reports, archives, observations, interviews. The decision matrix of complexity management approaches would assist decision-makers in formulating appropriate strategies to deal with complexity in their supply chains.
AB - Studies on supply chain complexity mainly use the static and dynamic complexity distinction. While static complexity describes the structure of the supply chain, the number and the variety of its components and strengths of interactions between these; the dynamic complexity represents the uncertainty in the supply chain and involves the aspects of time and randomness. This distinction is also valid when classifying the drivers of supply chain complexity according to the way they are generated. Supply chain complexity drivers (e.g., number/variety of suppliers, number/variety of customers, number/variety of interactions, conflicting policies, demand amplification, differing/ conflicting/ non-synchronized decisions and actions, incompatible IT systems) play a significant and varying role in dealing with complexity of the different types of supply chains (e.g., food, chemical, electronics, automotive). This paper reviews the typical complexity drivers that are faced in different types of supply chains and presents the complexity driver and solution strategy pairings, in the form of a matrix, extracted from reallife supply chain situations gathered from multiple existing sources; such as reports, archives, observations, interviews. The decision matrix of complexity management approaches would assist decision-makers in formulating appropriate strategies to deal with complexity in their supply chains.
KW - Good practices
KW - Supply chain complexity
KW - Supply chain complexity drivers
KW - Supply chain complexity management
UR - http://www.scopus.com/inward/record.url?scp=84886921971&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84886921971
SN - 9781627486835
T3 - 41st International Conference on Computers and Industrial Engineering 2011
SP - 220
EP - 225
BT - 41st International Conference on Computers and Industrial Engineering 2011
T2 - 41st International Conference on Computers and Industrial Engineering 2011
Y2 - 23 October 2011 through 25 October 2011
ER -