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Extensions of the dual-resource constrained flexible job-shop scheduling problem


Abstract The shift in focus of manufacturing systems to high-mix and low-volume production poses a challenge to both efficient scheduling of manufacturing operations and effective assessment of production capacity. This thesis considers the problem of scheduling a set of jobs that require machine and worker resources to complete their manufacturing operations. Although planners in manufacturing contexts typically focus solely on machines, schedules that only consider machining requirements may be problematic during implementation because machines need skilled workers and cannot run unsupervised. The model used in this research will be beneficial to these environments as planners would be able to determine more realistic assignments and operation seq... (more)
Created Date 2019
Contributor Adams, Katherine Bahia (Author) / Sefair, Jorge (Advisor) / Askin, Ronald (Advisor) / Webster, Scott (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering
Type Masters Thesis
Extent 43 pages
Language English
Copyright
Note Masters Thesis Industrial Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis