Disjunctive programming and the generalized Leontief input–output model

Ebiefung, Aniekan A.; Kostreva, Michael M.; Majumdar, Ishita

doi:10.1016/j.amc.2007.08.055

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…These methodological extensions address various intentions such as determining which among the technologies is best used (Ebiefung et al, 2008), accounting for emissions discharged into the environment (Liu and Zhang, 2012), and experimenting in which of the environmental policies serve best (Wu and Chang, 2003). Also, extensions to determine the level of consumption of limited resources used up by sectors were developed by Cui et al (2015) and Liang et al (2010).…”

Section: Consuming Sector Exogenous Final Demand (C)mentioning

confidence: 99%

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Supply input-output economics in process prioritisation of interdependent manufacturing systems

Noel

Omega

Masbad

et al. 2017

IJMDM

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Currently, manufacturing firms strive not only to survive but also to remain competitive in their industries. To sustain competitive advantage, firms adopt various approaches to aid in their decision making processes. A crucial decision making area is on process prioritisation which attempts to identify areas that need to be given higher attention in terms of policy development, improvement efforts and resource allocation. Previous approaches addressing this concern have drawbacks which may lead to less reliable decisions. Thus, this study attempts to develop a methodological approach based on supply-driven input-output analysis that addresses process prioritisation in manufacturing process system level. The motivation behind the adoption of such approach lies in the strength of input-output analysis in understanding systems with interdependent components. This approach was applied to two manufacturing systems in different case firms. Results reported in this work include the identified key processes of both firms together with the process prioritisation ranking of other processes.

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Section: Consuming Sector Exogenous Final Demand (C)mentioning

confidence: 99%

“…Technology selection Ebiefung et al (2008) and Ahammed and Herdt (1983) Extended input-output analysis to determine which technology is better to use in terms of the production cost it minimises…”

Section: Classification Author/s and Year Of Publication Descriptionmentioning

confidence: 99%

Supply input-output economics in process prioritisation of interdependent manufacturing systems

Noel

Omega

Masbad

et al. 2017

IJMDM

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“…Other economic applica-A. Ebiefung et al tions can be found in Ebiefung, Kostreva, and Majumdar [13], Ebiefung and Isaac [14], Ebiefung [15], and in the references at the end of this paper.…”

Section: Introductionmentioning

confidence: 99%

A Direct Algorithm for the Vertical Generalized Complementarity Problem Associated with <i>P</i>-Matrices

Ebiefung¹,

Habetler²,

Kostreva³

et al. 2017

OJOp

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Disjunctive programming and the generalized Leontief input–output model

Cited by 2 publications

References 6 publications

Supply input-output economics in process prioritisation of interdependent manufacturing systems

Supply input-output economics in process prioritisation of interdependent manufacturing systems

A Direct Algorithm for the Vertical Generalized Complementarity Problem Associated with <i>P</i>-Matrices

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Disjunctive programming and the generalized Leontief input–output model

Cited by 2 publications

References 6 publications

Supply input-output economics in process prioritisation of interdependent manufacturing systems

Supply input-output economics in process prioritisation of interdependent manufacturing systems

A Direct Algorithm for the Vertical Generalized Complementarity Problem Associated with &lt;i&gt;P&lt;/i&gt;-Matrices

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A Direct Algorithm for the Vertical Generalized Complementarity Problem Associated with <i>P</i>-Matrices