TY - JOUR
T1 - A Petri net model for the operational design and analysis of segmented flow topology (SFT) AGV systems
AU - Barad, M.
AU - Sinriech, D.
PY - 1998/5
Y1 - 1998/5
N2 - Designing flexible manufacturing systems in general, and flexible material handling system in particular, is a complex problem, typically approached through several stages. Here the focus is on the conceptual design stage during which valid approximation-based methods are needed. The segmented flow topology (SFT) AGV systems were developed to facilitate control of complex automated material handling systems. This paper introduces a decomposition method, directly derived from timed Petri nets (TPN) theories, to calculate the expected utilization of AGVs (as servers of SFT systems) and to derive simple operational decision rules leading to maximum system productivity at steady state, for a given deterministic routeing of discrete material through the manufacturing system.
AB - Designing flexible manufacturing systems in general, and flexible material handling system in particular, is a complex problem, typically approached through several stages. Here the focus is on the conceptual design stage during which valid approximation-based methods are needed. The segmented flow topology (SFT) AGV systems were developed to facilitate control of complex automated material handling systems. This paper introduces a decomposition method, directly derived from timed Petri nets (TPN) theories, to calculate the expected utilization of AGVs (as servers of SFT systems) and to derive simple operational decision rules leading to maximum system productivity at steady state, for a given deterministic routeing of discrete material through the manufacturing system.
UR - http://www.scopus.com/inward/record.url?scp=0032072164&partnerID=8YFLogxK
U2 - 10.1080/002075498193390
DO - 10.1080/002075498193390
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AN - SCOPUS:0032072164
SN - 0020-7543
VL - 36
SP - 1401
EP - 1425
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 5
ER -