2013
DOI: 10.1007/s10845-013-0729-y
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Scheduling a single mobile robot for part-feeding tasks of production lines

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Cited by 66 publications
(46 citation statements)
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“…In general, robots have not received as much attention in the constraint-based scheduling literature as they have in the planning literature. Namely, most scheduling work focuses on robots in production lines (Dang, Nielsen, Steger-Jensen, & Madsen, 2013;Kats & Levner, 2011) and robot task scheduling (Zhang & Parker, 2012. In these works, all tasks must be processed and they do not lead to cascading effects on the actions of robots or require reasoning about causation.…”
Section: Motivation and Backgroundmentioning
confidence: 99%
“…In general, robots have not received as much attention in the constraint-based scheduling literature as they have in the planning literature. Namely, most scheduling work focuses on robots in production lines (Dang, Nielsen, Steger-Jensen, & Madsen, 2013;Kats & Levner, 2011) and robot task scheduling (Zhang & Parker, 2012. In these works, all tasks must be processed and they do not lead to cascading effects on the actions of robots or require reasoning about causation.…”
Section: Motivation and Backgroundmentioning
confidence: 99%
“…These automation robots include Unmanned Ground Vehicle (UGV) and Unmanned Aerial Vehicle (UAV). UGV, whose nature is operating on the ground, has been widely used for manufacturing tasks like part-feeding and material handling (Dang, Nielsen, Steger-Jensen, & Madsen, 2014;Vivaldini, Rocha, Becker, & Moreira, 2015). UAV, which is operating in the air, is emerging in various application domains such as surveillance, logistics, and search-rescue missions.…”
Section: Introductionmentioning
confidence: 99%
“…Two different approaches have been taken in solving the RCPSP. The first approach includes exact algorithms, which produce optimum solutions [6,7]. The second approach is comprised of algorithms that provide admissible solutions refer to [3,4,8,9].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore the new methods and techniques addressing the impact of real-life constraints on online decision making are of great importance [4]. To do this in a way compatible with real life settings necessitate the use of stochastic and fuzzy logic frameworks [6]. The fuzzy model of project portfolio online control can be specified as a declarative one and then implemented using constraint programming techniques and finally implemented as a decision support system [3].…”
Section: Introductionmentioning
confidence: 99%