Integer programming techniques for solving non-linear workforce planning models with learning
Year of publication: |
2015
|
---|---|
Authors: | Hewitt, Mike ; Chacosky, Austin ; Grasman, Scott E. ; Thomas, Barrett W. |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 242.2015, 3 (1.5.), p. 942-950
|
Subject: | Production planning and scheduling | Human learning | Nonlinear programming | Produktionsplanung | Production planning | Theorie | Theory | Lernprozess | Learning process | Mathematische Optimierung | Mathematical programming | Nichtlineare Optimierung | Ganzzahlige Optimierung | Integer programming | Scheduling-Verfahren | Scheduling problem |
-
Optimising lot sizing with nonlinear production rates in a multi-product single-machine environment
Neidigh, Robert O., (2013)
-
Optimising lot sizing with nonlinear production rates in a multi-product multi-machine environment
Neidigh, Robert O., (2017)
-
Optimal control of an imperfect repetitive synchronised production environment
Hassini, Elkafi, (2016)
- More ...
-
Integer programming techniques for solving non-linear workforce planning models with learning
Hewitt, Mike, (2015)
-
The technician routing problem with experience-based service times
Chen, Xi, (2016)
-
Workforce grouping and assignment with learning-by-doing and knowledge transfer
Jin, Huan, (2018)
- More ...