Scheduling robotic cells with fixed processing times or time windows: Classification, solution approaches, polynomial algorithms and complexity Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.ejor.2024.01.041
Robotic cell scheduling has received considerable attention from researchers. Several existing review papers have presented then-existing studies on robotic cell scheduling and related fields from different perspectives. Since the latest review, numerous new results have emerged, contributing significant advancements in recent years. Furthermore, certain features of these problems have not been appropriately addressed. This paper aims to provide an up-to-date review and present our particular perspectives to address recent publications on scheduling robotic cells with fixed processing times or time windows. First, we identify various characteristics of robotic cell scheduling and explain their impact on the structure and complexity. Based on these characteristics, the related robotic cell scheduling studies are classified and compared in various dimensions. Second, we present complexity results, along with both exact and approximation solution techniques, for the robotic cell scheduling problem with time windows or fixed processing times. These results are presented in tabular forms to visually reveal the relationships between different problem configurations and their respective solution approaches. Finally, we discern emerging trends in the realm of robotic cell scheduling research, subsequently indicating prospective directions for future investigations.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ejor.2024.01.041
- OA Status
- hybrid
- Cited By
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- References
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4391529809Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ejor.2024.01.041Digital Object Identifier
- Title
-
Scheduling robotic cells with fixed processing times or time windows: Classification, solution approaches, polynomial algorithms and complexityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-05Full publication date if available
- Authors
-
Jianguang Feng, Ada Che, Chengbin Chu, Eugene Levner, Vladimir KatsList of authors in order
- Landing page
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https://doi.org/10.1016/j.ejor.2024.01.041Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ejor.2024.01.041Direct OA link when available
- Concepts
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Computer science, Scheduling (production processes), Job shop scheduling, Time complexity, Algorithm, Fair-share scheduling, Two-level scheduling, Artificial intelligence, Distributed computing, Mathematical optimization, Mathematics, Schedule, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 4, 2024: 3Per-year citation counts (last 5 years)
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130Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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