Multi-Objective Programming and Goal Programming

Tamiz, Mehrdad

doi:10.1007/978-3-642-87561-8

Cited by 27 publications

(1 citation statement)

References 42 publications

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“…Definition (Tamiz,[18]): A lexicographic minimization defined as a sequential minimization of each priority whilst maintaining the minimal values reached by all higher priority level minimizations.…”

Section: Goal Programmingmentioning

confidence: 99%

Integration of Two-Phase Goal Programming to Examine the Effectiveness of Membership Model

Safiih¹,

Mezral²

2016

TEL

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This study introduces an alternative through two phases of goal programming to overcome the existing membership model problem that does not have a specific mathematical method to examine whether the receipt number of members is compatible with the criteria or characteristics that apply for membership through the lexicographic goal programming (LGP) and multi-choice goal programming with utility function (MCGP-U). It is applied for membership artificial data. The results indicate that both goal programming methods could meet the retail loyalty program membership modus operandi.

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Section: Goal Programmingmentioning

confidence: 99%

Integration of Two-Phase Goal Programming to Examine the Effectiveness of Membership Model

Safiih¹,

Mezral²

2016

TEL

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Modelling recruitment training in mathematical human resource planning

Georgiou

Tsantas

2002

Appl Stoch Models Bus & Ind

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SUMMARYThis paper deals with mathematical human resource planning; more specifically, it suggests a new model for a manpower-planning system. In general, we study a k-classed hierarchical system where the workforce demand at each time period is satisfied through internal mobility and recruitment. The motivation for this work is based on various European Union incentives, which promote regional or local government assistance programs that could be exploited by firms not only for hiring and training newcomers, but also to improve the skills and knowledge of their existing personnel. In this respect, in our augmented mobility model we establish a new 'training/standby' class, which serves as a manpower inventory position for potential recruits. This class, which may very well be internal or external to the system, is incorporated into the framework of a non-homogeneous Markov chain model. Furthermore, cost objectives are employed using the goal-programming approach, under different operating assumptions, in order to minimize the operational cost in the presence of system's constraints and regulations.

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Goal Programming: realistic targets for the near future

Caballero

Gómez

Ruiz

2009

Multi Criteria Decision Anal

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Goal Programming (GP) can be regarded as one of the most widely used multicriteria decision-making techniques. In this paper, two surveys are carried out. First, the evolution of GP since its birth to the present time, in terms of number of publications, references, journals, etc., has been studied. Second, a more in-depth survey has been carried out, which covers the publications from year 2000 to the present time. All the references are listed, and some conclusions and future research lines have been extracted about the late trends of GP.

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Multi-Objective Programming and Goal Programming

Cited by 27 publications

References 42 publications

Integration of Two-Phase Goal Programming to Examine the Effectiveness of Membership Model

Integration of Two-Phase Goal Programming to Examine the Effectiveness of Membership Model

Modelling recruitment training in mathematical human resource planning

Goal Programming: realistic targets for the near future

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