On the complexity of coupled-task scheduling
Discrete Applied Mathematics - Special issue on models and algorithms for planning and scheduling problems
Batching and scheduling in a multi-machine flow shop
Journal of Scheduling
Note: A note on scheduling identical coupled tasks in logarithmic time
Discrete Applied Mathematics
Scheduling of coupled tasks with unit processing times
Journal of Scheduling
Information Processing Letters
Approximation algorithms for scheduling problems with exact delays
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Approximation algorithms for UET scheduling problems with exact delays
Operations Research Letters
Improved analysis of an algorithm for the coupled task problem with UET jobs
Operations Research Letters
Interleaving two-phased jobs on a single machine
Discrete Optimization
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This paper investigates single-machine coupled-task scheduling where each job has two tasks separated by an exact delay. The objective of this study is to schedule the tasks to minimize the makespan subject to a given job sequence. We introduce several intriguing properties of the fixed-job-sequence problem under study. While the complexity status of the studied problem remains open, an O(n^2) algorithm is proposed to construct a feasible schedule attaining the minimum makespan for a given permutation of 2n tasks abiding by the fixed-job-sequence constraint. We investigate several polynomially solvable cases of the fixed-job-sequence problem and present a complexity graph of the problem.