Scheduling with deteriorating jobs and learning effects

DOI10.1016/j.amc.2011.07.023zbMath1229.90065OpenAlexW2064622154MaRDI QIDQ654684

Dar-Li Yang, Wen-Hung Kuo

Publication date: 29 December 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.07.023

zbMATH Keywords

schedulingdeteriorating jobsmakespanlearning effecttardy job

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)

Related Items (4)

A time-dependent scheduling problem to minimize the sum of the total weighted tardiness among two agents ⋮ The computational complexity analysis of the two-processor flowshop problems with position dependent job processing times ⋮ Four single-machine scheduling problems involving due date determination decisions ⋮ Single machine SLK/DIF due window assignment problem with learning effect and deteriorating jobs

Cites Work

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• Single-machine scheduling with learning considerations
• Scheduling jobs under simple linear deterioration
• A concise survey of scheduling with time-dependent processing times
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• Scheduling with general job-dependent learning curves.
• A bi-criterion single-machine scheduling problem with learning considerations
• Single-machine group scheduling with a time-dependent learning effect
• Minimizing the makespan with late start penalties added to processing times in a single facility scheduling problem
• Scheduling with time dependent processing times: Review and extensions
• SCHEDULING PROBLEMS WITH THE EFFECTS OF DETERIORATION AND LEARNING
• Scheduling Deteriorating Jobs on a Single Processor
• V-Shaped Policies for Scheduling Deteriorating Jobs
• Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
• Scheduling jobs with position-dependent processing times
• Note on scheduling with general learning curves to minimize the number of tardy jobs
• Λ-Shaped Policies to Schedule Deteriorating Jobs
• Minimizing maximum lateness under linear deterioration
• Scheduling problems with a learning effect

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