2020
DOI: 10.1080/17517575.2020.1793390
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A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment

Abstract: Supply chains now cope with a lot of uncertainties, and their stakeholders are intensely interconnected, revealing new opportunities at a tremendous pace. In this context, companies must rethink their decision support systems to remain competitive. Particularly strategic supply chain capacity planning systems that should ensure resource availability. Unfortunately, existing systems do not satisfactorily consider this new deal. Therefore, this paper develops a conceptual framework providing guidelines for desig… Show more

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Cited by 18 publications
(9 citation statements)
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“…Results from Oger el al. [24] as well as the literature review of this paper lead to the conclusion that existing DSS are not satisfying enough to reach this objective. Mainly because existing DSS are too time consuming when it comes to assessing a multitude of what-if scenarios resulting from the combination of the multitude of decision options and uncertainty sources.…”
Section: Conclusion and Research Avenuesmentioning
confidence: 89%
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“…Results from Oger el al. [24] as well as the literature review of this paper lead to the conclusion that existing DSS are not satisfying enough to reach this objective. Mainly because existing DSS are too time consuming when it comes to assessing a multitude of what-if scenarios resulting from the combination of the multitude of decision options and uncertainty sources.…”
Section: Conclusion and Research Avenuesmentioning
confidence: 89%
“…According to the existing SSCCP DSS conceptual framework this paper expands [24], the following two activities of the proposed SSCCP decision-making process should be fully automated: "generate an assessment model compatible with all what-if scenarios" and "assess what-if scenarios".…”
Section: Literature Review 21 Objectivesmentioning
confidence: 99%
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