TY - JOUR
T1 - Lot-splitting decisions and learning effects
AU - Eynan, Amit
AU - Li, Chung-Lun
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 1997
Y1 - 1997
N2 - We consider a lot-splitting model where the unit manufacturing time follows a learning curve. Our objective is to maximize the net present value of the total revenue collected at the delivery of the sublots. An algorithm is developed to solve the problem. Computational experiments are conducted to study the performance of two ‘convenient’ operational approaches, namely the equal sublot size approach and the equal time interval approach. The computational results suggest that these two solution approaches are nearly optimal and that the net present value of the total revenue becomes less sensitive to the sublot sizes as the learning effect increases. © 1997 Taylor & Francis Group, LLC.
AB - We consider a lot-splitting model where the unit manufacturing time follows a learning curve. Our objective is to maximize the net present value of the total revenue collected at the delivery of the sublots. An algorithm is developed to solve the problem. Computational experiments are conducted to study the performance of two ‘convenient’ operational approaches, namely the equal sublot size approach and the equal time interval approach. The computational results suggest that these two solution approaches are nearly optimal and that the net present value of the total revenue becomes less sensitive to the sublot sizes as the learning effect increases. © 1997 Taylor & Francis Group, LLC.
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U2 - 10.1080/07408179708966321
DO - 10.1080/07408179708966321
M3 - RGC 21 - Publication in refereed journal
SN - 0740-817X
VL - 29
SP - 139
EP - 146
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
IS - 2
ER -
