A note on a makespan minimization problem with a multi-ability learning effect

Janiak, Adam; Rudek, Radosław

doi:10.1016/j.omega.2009.09.004

Cited by 54 publications

(20 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When higher skilled workers perform tasks that are usually performed by lower skilled workers, the resulting efficiency tends to be higher. Some papers therefore assume that the speed of work is higher when substitution is allowed [42,44,58,78,85,86,92,100,105,108,109,115,116,117,118]. Tiwari et al [108] even assume that the quality of work will be higher in this case.…”

Section: Hierarchical Skills and Substitutionmentioning

confidence: 99%

“…In [28,38,44,58,78,85,86,105,109,115,116,117,118], the authors model the skills in the objective function, but not as soft constraints. Instead of skill constraints, these papers consider skill based performance/efficiency measures with a direct impact on the objective (such as speed of work and the quality of the finished products).…”

Section: Skills In Objective Functionmentioning

confidence: 99%

“…Xingong and Guangle [118], Janiak and Rudek [78] and Lee and Wu [85], for example, compose their own optimization algorithm based on the specific characteristics of their considered problem and prove the optimality of the proposed algorithm. Song and Huang [104] model their problem as a multistage stochastic program and propose a successive convex approximation method which solves the problem in stages.…”

Section: Solution Techniquesmentioning

confidence: 99%

“…Fortunately, the number of research papers that do not provide a test of the proposed model also remains limited to a few cases. [78,85,115,118] It is remarkable that many researchers claim that they present a generic model that can be applied to many different settings, while each researcher comes up with a completely different approach. We found that [15,42,44,56,57,72,78,85,92,93,100,109,115,116,117, 118] present a more or less generic approach to incorporate skills in workforce planning problems.…”

Section: Application Areasmentioning

confidence: 99%

See 3 more Smart Citations

Workforce planning incorporating skills: State of the art

Bruecker

Bergh²,

Beliën³

et al. 2015

European Journal of Operational Research

240

View full text Add to dashboard Cite

This paper presents a review and classification of the literature regarding workforce planning problems incorporating skills. In many cases, technical research regarding workforce planning focuses very hard on the mathematical model and neglects the real life implications of the simplifications that were needed for the model to perform well. On the other hand, many managerial studies give an extensive description of the human implications of certain management decisions in particular cases, but fail to provide useful mathematical models to solve workforce planning problems. This review will guide the operations researcher in his search to find useful papers and information regarding workforce planning problems incorporating skills. We not only discuss the differences and similarities between different papers, but we also give an overview of the managerial insights. The objective is to present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.

show abstract

Section: Hierarchical Skills and Substitutionmentioning

confidence: 99%

Section: Skills In Objective Functionmentioning

confidence: 99%

Section: Solution Techniquesmentioning

confidence: 99%

Section: Application Areasmentioning

confidence: 99%

See 2 more Smart Citations

Workforce planning incorporating skills: State of the art

Bruecker

Bergh²,

Beliën³

et al. 2015

European Journal of Operational Research

240

View full text Add to dashboard Cite

show abstract

“…Since then, many researchers have devoted large amounts of effort to this relatively young but vivid area of scheduling research. We refer readers to review papers by Mosheiov (2001), Bachman and Janiak (2004), Kuo and Yang (2006), Koulamas and Kyparisis (2007), Janiak and Rudek (2010), Toksari et al (2009), etc. Biskup (2008 further provided a comprehensive review of scheduling research with learning considerations.…”

Section: Introductionmentioning

confidence: 99%

Using a branch-and-bound and a genetic algorithm for a single-machine total late work scheduling problem

Yin

et al. 2015

Soft Comput

View full text Add to dashboard Cite

Scheduling with learning effects has received a lot of research attention lately. On the other hand, it is commonly seen that time restrictions are usually modeled by due dates or deadlines and the quality of schedules is estimated with reference to these parameters. One of the performance measures involving due dates is the late work criterion, which is relatively unexplored. Thus, we study a single-machine scheduling problem with a position-based learning effect. The objective is to minimize the total late work, where the late work for a job is the amount of processing of this job that is performed after its due date. We attempt to develop a branchand-bound algorithm incorporating with some dominance rules and a lower bound for the optimal solution. For saving computational time, we also propose three heuristic-based genetic algorithms for the near-optimal solution. Finally, the computational results of proposed algorithms are also provided.

show abstract

Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect

Bentrcia

Mouss

2016

Operations Research/Computer Science Interfaces Series

View full text Add to dashboard Cite

A note on a makespan minimization problem with a multi-ability learning effect

Cited by 54 publications

References 26 publications

Workforce planning incorporating skills: State of the art

Workforce planning incorporating skills: State of the art

Using a branch-and-bound and a genetic algorithm for a single-machine total late work scheduling problem

Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect

Contact Info

Product

Resources

About