TY - GEN
T1 - Adaptive scheduling by means of product-specific emergence data
AU - Reinhart, Gunther
AU - Geiger, Florian
PY - 2011
Y1 - 2011
N2 - The order-driven single and small batch production is characterized by a high variety and the demand for short delivery times. Therefore, a robust production planning is essential. Usually the master data, which is used for scheduling, does not represent the current conditions in the shop floor, due to its static nature. Thus the planning results are of poor quality. To counteract that, this article describes an approach that provides production-state- dependent master data enabled by the RFID (Radio Frequency Identification) technology.
AB - The order-driven single and small batch production is characterized by a high variety and the demand for short delivery times. Therefore, a robust production planning is essential. Usually the master data, which is used for scheduling, does not represent the current conditions in the shop floor, due to its static nature. Thus the planning results are of poor quality. To counteract that, this article describes an approach that provides production-state- dependent master data enabled by the RFID (Radio Frequency Identification) technology.
KW - Production Planning and Control (PPC)
KW - master data
KW - scheduling
KW - smart product
UR - http://www.scopus.com/inward/record.url?scp=84856557927&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2011.6117936
DO - 10.1109/IEEM.2011.6117936
M3 - Conference contribution
AN - SCOPUS:84856557927
SN - 9781457707391
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 347
EP - 351
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Y2 - 6 December 2011 through 9 December 2011
ER -