Routing and scheduling on a shoreline with release times
Management Science
A polynomial approximation scheme for a constrained flow-shop scheduling problem
Mathematics of Operations Research
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Approximation schemes for constrained scheduling problems
SFCS '89 Proceedings of the 30th Annual Symposium on Foundations of Computer Science
A polynomial approximation scheme for problem F2/rj/Cmax
Operations Research Letters
Linear Time Approximation Schemes for Vehicle Scheduling
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
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In this paper, we consider a scheduling problem of vehicles on a path. Let G = (V,E) be a path, where V = {v1, v2,.., vn} is its set of n vertices and E = {{vj, vj+1} | j = 1, 2,.., n - 1} is its set of edges. There are m vehicles (1 ≤ m ≤ n). The travel times w(vj, vj+1) (= w(vj+1, vj)) are associated with edges {vj, vj+1} ∈ E. Each job j which is located at each vertex vj ∈ V has release time rj and handling time hj. Any job must be processed by exactly one vehicle. The problem asks to find an optimal schedule of m vehicles that minimizes the maximum completion time of all the jobs. The problem is known to be NP-hard for any fixed m ≥ 2. In this paper, we present a polynomial time approximation scheme {AƐ} to the problem with a fixed m. Our algorithm can be extended to the case where G is a tree so that a polynomial time approximation scheme is obtained if m and the number of leaves in G are fixed.