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Title: Lot streaming in the presence of learning

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.

DOI: 10.1504/IJPS.2014.066697

International Journal of Planning and Scheduling, 2014 Vol.2 No.1, pp.40 - 52

Available online: 27 Dec 2014 *

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