TY - GEN
T1 - An axiomatic design approach to production path enumeration in reconfigurable manufacturing systems
AU - Farid, Amro M.
PY - 2013
Y1 - 2013
N2 - In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMS), holonic manufacturing systems (HMS), and multi-agent systems (MAS). One of the principle reasons for these developments has been to enhance the recongurability of a manufacturing system; allowing it to readily adapt to changes over time. However, to date, recongurability assessment has been limited. Hence, the efficacy of these design approaches remains quantitatively inconclusive. More recently, a systematic approach to reconfigurability measurement based upon the concepts of reconfiguration "potential" and reconfiguration "ease" has been developed using axiomatic design and design structure matrices respectively. The measures of reconfiguration potential called production degrees of freedom were specifically used to calculate production paths of a product line through a reconfigurable manufacturing system. This paper rearticulates the previous scalar-based calculation in terms of a axiomatic design matrix-based development founded in graph theory for three major benefits. First, this approach establishes a link between the RMS literature and graph theory where path enumeration has long been associated with network reliability and resilience. Second, the approach bases its measures strictly on the evolving system architecture variables in both function and form. In so doing, it roots itself in the established engineering design concept of the axiomatic design knowledge base for large flexible systems. Finally, the formulaic expressions lend themselves to significant computational savings.
AB - In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMS), holonic manufacturing systems (HMS), and multi-agent systems (MAS). One of the principle reasons for these developments has been to enhance the recongurability of a manufacturing system; allowing it to readily adapt to changes over time. However, to date, recongurability assessment has been limited. Hence, the efficacy of these design approaches remains quantitatively inconclusive. More recently, a systematic approach to reconfigurability measurement based upon the concepts of reconfiguration "potential" and reconfiguration "ease" has been developed using axiomatic design and design structure matrices respectively. The measures of reconfiguration potential called production degrees of freedom were specifically used to calculate production paths of a product line through a reconfigurable manufacturing system. This paper rearticulates the previous scalar-based calculation in terms of a axiomatic design matrix-based development founded in graph theory for three major benefits. First, this approach establishes a link between the RMS literature and graph theory where path enumeration has long been associated with network reliability and resilience. Second, the approach bases its measures strictly on the evolving system architecture variables in both function and form. In so doing, it roots itself in the established engineering design concept of the axiomatic design knowledge base for large flexible systems. Finally, the formulaic expressions lend themselves to significant computational savings.
KW - Graph theory
KW - Holonic manufacturing systems
KW - Multi-agent systems
KW - Reconfigurability
KW - Reconfigurable manufacturing systems
KW - Reconfiguration processes
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U2 - 10.1109/SMC.2013.659
DO - 10.1109/SMC.2013.659
M3 - Conference contribution
AN - SCOPUS:84893542213
SN - 9780769551548
T3 - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
SP - 3862
EP - 3869
BT - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
T2 - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Y2 - 13 October 2013 through 16 October 2013
ER -