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This paper addresses the Patient Admission Scheduling (PAS) problem. The PAS problem entails assigning elective …
Persistent link: https://www.econbiz.de/10010744206
This paper addresses the Patient Admission Scheduling (PAS) problem. The PAS problem deals with assigning elective …
Persistent link: https://www.econbiz.de/10010611664
Industrial lotsizing and scheduling pose very difficult analytical problems. We propose an unconventional model that …
Persistent link: https://www.econbiz.de/10009191105
This paper considers the problem of scheduling n jobs, each having a processing time, a due date and a weight, on a …
Persistent link: https://www.econbiz.de/10009218029
A column generation based approach is proposed for solving the cluster-wise regression problem. The proposed strategy relies firstly on several efficient heuristic strategies to insert columns into the restricted master problem. If these heuristics fail to identify an improving column, an...
Persistent link: https://www.econbiz.de/10010950401
parallel machines where jobs can only be delivered at certain fixed delivery dates. Scheduling problems with fixed delivery …
Persistent link: https://www.econbiz.de/10011209377
In this paper, we propose an exact solution method for single machine scheduling problems typically arising from …
Persistent link: https://www.econbiz.de/10011052583
In this paper a problem of scheduling a single machine under linear deterioration which aims at minimizing the number …
Persistent link: https://www.econbiz.de/10010994001
We present a mathematical programming model for the combined vehicle routing and scheduling problem with time windows …
Persistent link: https://www.econbiz.de/10005645041
The single machine sequencing problem is considered in which there are precedence constraints on the jobs. The objective is to minimize the sum of weighted completion times. A lower bound is obtained by successively performing a Lagrangean relaxation of appropriate constraints. Each Lagrange...
Persistent link: https://www.econbiz.de/10009214591