Development and evaluation of an assignment heuristic for allocating cross-trained workers

Campbell, Gerard M.; Diaby, Moustapha

doi:10.1016/s0377-2217(01)00107-2

Cited by 86 publications

(50 citation statements)

References 10 publications

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“…Wu et al [117] and Wu et al [116] therefore compare the results obtained with their exact branch and bound technique to the results obtained with a heuristic algorithm. [1,2,3,7,9,10,11,15,16,17,21,22,24,25,27,29,32,33,34,36,38,39,41,48,49,52,55,57,64,66,68,72,73,74,80,82,83,87,90,98,100,103,104,107,109,110,113,114,116,…”

Section: Solution Techniquesmentioning

confidence: 99%

Workforce planning incorporating skills: State of the art

Bruecker

Bergh²,

Beliën³

et al. 2015

European Journal of Operational Research

240

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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.

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Section: Solution Techniquesmentioning

confidence: 99%

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

“…Mathematical programming is the most--used-solution method for AHP problems. Campbell and Diaby (2002) and Corominas and Pastor (2000) propose a three-phase method. Hung (1999a) and Hung (1999b) uses algorithms for variants of the AHPP.…”

Section: Literature Reviewmentioning

confidence: 99%

Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

Hasan

2016

dmms

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Abstract. We have considered the problem of annualized hours (AH) in workforce management. AH is a method of distributing working hours with respect to the demand over a year. In this paper, the basic Manpower planning problem with AH flexibility is formulated as a fuzzy mathematical programming problem with flexible constraints. Three models of the AH planning problem under conditions of fuzzy uncertainty are presented using different aggregation operators. These fuzzy models soften the rigidity of the deterministic model by relaxing some constraints with the use of flexible programming. Finally, an illustration is given with a computational experiment performed on a realistic-scale case problem of an automobile company to demonstrate and analyze the effectiveness of the fuzzy approach over a deterministic model.

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“…In this respect it touches on a significant body of literature that treats the problem of cross-trained workers from various perspectives. Campbell and Diaby (2002) develop heuristics for the model of Campbell (1999) which assigns cross-trained workers across different departments at the beginning of a shift. The departmental utility function is non-linear and the resulting model can be viewed as a variant of the GAP.…”

Section: Literature Reviewmentioning

confidence: 99%

Management of Emergency Response Teams under Stochastic Demands

Markov

Varone

2013

Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems

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Abstract:We propose a stochastic optimization model for the composition of emergency response teams. An emergency intervention requires first an evaluation of the situation which results in the need of different skills. People involved in the response team must therefore comply with the required skills, be available, with a past and future workload respecting contractual compliance. In addition, we must also anticipate the possibility of future interventions that will require rare skills. It is the uncertain future demand for these skills that introduces stochasticities to the system. Since shifting agents between emergencies may be impossible or impractical, we would like to ensure that rare skills are not wasted but assigned to the emergency that most needs them. We model this with a mixed integer linear program implemented in AMPL and capable of being solved in real-time on common solvers.

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Development and evaluation of an assignment heuristic for allocating cross-trained workers

Cited by 86 publications

References 10 publications

Workforce planning incorporating skills: State of the art

Workforce planning incorporating skills: State of the art

Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach

Management of Emergency Response Teams under Stochastic Demands

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