TY - JOUR
T1 - Lot-to-order matching for a semiconductor assembly and test facility
AU - Knutson, Kraig
AU - Kempf, Karl
AU - Fowler, John
AU - Carlyle, Matt
N1 - Funding Information:
The authors would like to thank Frederick Lawrence, for his early contributions to this work. They would also like to thank Robert Del Garbino, David Fogelson, Allan Mcnse, Henderson Noguejra, -and Fran Zenzen for their nssista~cci n developing and debugging the mode' used to the The authors would also like to thank Y.S.C hang and Scott Mason for their review of early drafts of this paper. TWOa nonymous referees provided very careful and comprehensive reviews and many helpful suggestions. ~ h co~~tribiutiõnsare John Wm is partially by NSF-DMI-97 13750 and SRC 97-FJ-492.
PY - 1999
Y1 - 1999
N2 - This paper is motivated by the problem of assigning semiconductor fabrication water lots to customer orders of various sizes. The goal of this research is to develop a method for deciding, on a given day, which orders to fill and the assignment of available lots to orders. This decision should be made in order to effectively utilize the capacity of the assembly/test facility, to minimize excess product that must be sent to a storage facility, and to maximize on-time delivery of customer orders. This problem can be formulated as an integer program with a nonlinear objective and nonlinear constraints. Because of the complexity of this formulation we decompose the problem into two integer linear programs and solve them in sequence by heuristic methods. The performance of the heuristic is analyzed using a representative data set. Based on this analysis, it is shown that our greedy heuristic performs significantly better than current practice.
AB - This paper is motivated by the problem of assigning semiconductor fabrication water lots to customer orders of various sizes. The goal of this research is to develop a method for deciding, on a given day, which orders to fill and the assignment of available lots to orders. This decision should be made in order to effectively utilize the capacity of the assembly/test facility, to minimize excess product that must be sent to a storage facility, and to maximize on-time delivery of customer orders. This problem can be formulated as an integer program with a nonlinear objective and nonlinear constraints. Because of the complexity of this formulation we decompose the problem into two integer linear programs and solve them in sequence by heuristic methods. The performance of the heuristic is analyzed using a representative data set. Based on this analysis, it is shown that our greedy heuristic performs significantly better than current practice.
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U2 - 10.1023/A:1007635927265
DO - 10.1023/A:1007635927265
M3 - Article
AN - SCOPUS:0033350351
SN - 0740-817X
VL - 31
SP - 1103
EP - 1111
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
IS - 11
ER -