Principles of artificial intelligence
Principles of artificial intelligence
Scheduling chain-structured tasks to minimize makespan and mean flow time
Information and Computation
Scheduling chains to minimize mean flow time
Information Processing Letters
Scheduling to minimize average completion time: off-line and on-line approximation algorithms
Mathematics of Operations Research
Precedence constrained scheduling to minimize sum of weighted completion times on a single machine
Discrete Applied Mathematics
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
SIAM Journal on Computing
A GRASP approach to transporter scheduling and routing at a shipyard
Computers and Industrial Engineering
Scheduling of uniform parallel machines with s-precedence constraints
Mathematical and Computer Modelling: An International Journal
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This paper considers a deterministic scheduling problem where multiple jobs with s-precedence relations are processed on multiple identical parallel machines. The objective is to minimize the total completion time. The s-precedence relation between two jobs i and j represents the situation where job j is constrained from processing until job i starts processing, which is different from the standard definition of a precedence relation where j cannot start until i completes. The s-precedence relation has wide applicability in the real world such as first-come-first-served processing systems. The problem is shown to be intractable, for which a heuristic procedure is derived. Numerical experiments are conducted to show that the derived heuristic provides effective solutions.