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A column generation approach for solving the patient admission scheduling problem

Range, Troels Martin; Lusby, Richard Martin; Larsen, Jesper - In: European Journal of Operational Research 235 (2014) 1, pp. 252-264

This paper addresses the Patient Admission Scheduling (PAS) problem. The PAS problem entails assigning elective …

Persistent link: https://www.econbiz.de/10010744206

A column generation approach for solving the patient admission scheduling problem

Range, Troels Martin; Lusby, Richard Martin; Larsen, Jesper - Institut for Virksomhedsledelse og Økonomi, Syddansk … - 2013

This paper addresses the Patient Admission Scheduling (PAS) problem. The PAS problem deals with assigning elective …

Persistent link: https://www.econbiz.de/10010611664

Lotsizing and Scheduling on Parallel Machines with Sequence-Dependent Setup Costs

Kang, Sungmin; Malik, Kavindra; Thomas, L. Joseph - In: Management Science 45 (1999) 2, pp. 273-289

Industrial lotsizing and scheduling pose very difficult analytical problems. We propose an unconventional model that …

Persistent link: https://www.econbiz.de/10009191105

Algorithms for Scheduling a Single Machine to Minimize the Weighted Number of Late Jobs

Potts, C. N.; Wassenhove, L. N. Van - In: Management Science 34 (1988) 7, pp. 843-858

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

Globally Optimal Clusterwise Regression By Column Generation Enhanced with Heuristics, Sequencing and Ending Subset Optimization

Carbonneau, Réal; Caporossi, Gilles; Hansen, Pierre - In: Journal of Classification 31 (2014) 2, pp. 219-241

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