The usefulness of possibilistic programming in production planning problems

Inuiguchi, Masahiro; Sakawa, Masatoshi; Kume, Yasufumi

doi:10.1016/0925-5273(94)90117-1

Cited by 69 publications

(28 citation statements)

References 8 publications

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“…Other applications of possibilistic programming in production planning problems can be found in Gen et al (1992), Inuiguchi et al (1994), Hsu and Wang (2001), Fang (2001), Lodwick andBachman (2005) and Wang and Liang (2005).…”

Section: Introductionmentioning

confidence: 99%

Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

Mula

García-Sabater

2008

International Journal of Production Research

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Section: Introductionmentioning

confidence: 99%

Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

Mula

García-Sabater

2008

International Journal of Production Research

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“…Inuiguchi [7] classifies FMP in three categories based on the types of indeterminacies: 1) FMP with ambiguities, also known as flexible programming, developed by Bellman and Zadeh [3], allows fuzzy preferences for the decision maker. 2) FMP with vagueness deals with fuzzy coefficients in constraints and -188 -goals.…”

Section: Methodology and Model Explanationmentioning

confidence: 99%

Multicriteria HR Allocation Based on Hesitant Fuzzy Sets and Possibilistic Programming

Ćirić

Stojić

Sedlak

2015

APH

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“…Assuming the context of the possibilistic programming, the model will adopt the approach initially proposed by Inuiguchi et al (1994). Hence, in order to define the possibility distribution concept it is necessary to describe what is a fuzzy constraint or restriction.…”

Section: Obtaining Crisp Solution -Possibilistic Modelmentioning

confidence: 99%

Fuzzy system dynamics and optimization with application to manpower systems

Mutingi¹,

Mbohwa²

2012

IJIEC

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The dynamics of human resource recruitment and training in an uncertain environment creates a challenge for many policy makers in various organisations. In the presence of fuzzy manpower demand and training capacity, many companies fear losing critical human resources when their employees leave. As such, the development of effective dynamic policies for recruitment and training in a fuzzy dynamic environment is imperative. In this frame of mind, a fuzzy systems dynamics modelling approach is proposed to enable the policy maker to develop reliable dynamic policies relating recruitment, training, and available skills, from a systems perspective. It is anticipated in this study that fuzzy system dynamics and optimization approach would help organizations to design effective manpower policies and strategies.

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The usefulness of possibilistic programming in production planning problems

Cited by 69 publications

References 8 publications

Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

Multicriteria HR Allocation Based on Hesitant Fuzzy Sets and Possibilistic Programming

Fuzzy system dynamics and optimization with application to manpower systems

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