Authors: Niloy J. Mukherjee; Subhash C. Sarin
Addresses: Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA ' Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
Abstract: Lot streaming is the process of splitting a production lot into sublots, and then, processing the sublots on different machines in an overlapping manner. In this paper, we study the use of lot streaming when a learning effect is observed. We provide a method for transforming a lot streaming problem in the presence of learning to its equivalent counterpart without learning for which a solution method may already exist. We demonstrate the use of this transformation on some lot-streaming problems.
Keywords: lot streaming; learning effect; flow shop scheduling; job shop scheduling; open shop scheduling; parallel machine scheduling.
International Journal of Planning and Scheduling, 2014 Vol.2 No.1, pp.40 - 52
Received: 16 Nov 2013
Accepted: 26 Mar 2014
Published online: 27 Dec 2014 *