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Title: Lot streaming in the presence of learning in sublot-attached setup times and processing times.
Authors: Mukherjee, Niloy J.; Sarin, Subhash C.; Singh, Sanchit
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 for processing a lot in a two-machine flow shop when a sublot-attached setup time is incurred before the processing of each sublot. The objective is to determine number of sublots and sublot sizes and minimize makespan. We also consider the case when the effect of learning is observed in processing times, sublot-attached setup times, or, both. We present closed-form expressions for optimal sublot sizes and efficient search schemes to determine optimal number of sublots.
Subjects: PRODUCTION scheduling; FLOW shops; WORKSHOPS (Facilities); LEARNING; CONVEX functions; INTEGERS
Publication: International Journal of Production Research, 2017, Vol 55, Issue 6, p1623
ISSN: 0020-7543
Publication type: Academic Journal
DOI: 10.1080/00207543.2016.1200760

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Lot streaming in the presence of learning in sublot-attached setup times and processing times.