Food chain design using multi criteria decision making, an approach to complex design issues

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

Designing a food supply chain for a completely new product involves many stakeholders and knowledge from disciplines in natural and social sciences. This paper describes how Multi Criteria Decision Making (MCDM) facilitated designing a food supply chain in a case of Novel Protein Foods. It made the procedure transparent and aided the evaluation of alternatives. Two models, namely the Multi Attribute Value Theory (MAVT) and the Analytic Hierarchy Process (AHP), were used, due to the ease with which they handle a mix of quantitative and qualitative information, quantify the qualitative information and generate an overall value for each alternative. The resulting preference order differed mainly due to the manner in which criteria weights were elicited, alternatives scored and the use of scales in MAVT versus the pairwise comparison in AHP. However, the preference order of the top criteria with both methods was the same and weights were similar.
LanguageEnglish
Pages13-21
JournalNJAS Wageningen Journal of Life Sciences
Volume72-73
DOIs
Publication statusPublished - 2015

Fingerprint

multi-criteria decision making
decision making criterion
Food Chain
Food Supply
food supply
food chain
food supply chain
value theory
Decision Making
decision making
food
Natural Science Disciplines
Weights and Measures
social sciences
Social Sciences
new products
stakeholders
protein sources
stakeholder
natural sciences

Keywords

  • methodology

Cite this

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abstract = "Designing a food supply chain for a completely new product involves many stakeholders and knowledge from disciplines in natural and social sciences. This paper describes how Multi Criteria Decision Making (MCDM) facilitated designing a food supply chain in a case of Novel Protein Foods. It made the procedure transparent and aided the evaluation of alternatives. Two models, namely the Multi Attribute Value Theory (MAVT) and the Analytic Hierarchy Process (AHP), were used, due to the ease with which they handle a mix of quantitative and qualitative information, quantify the qualitative information and generate an overall value for each alternative. The resulting preference order differed mainly due to the manner in which criteria weights were elicited, alternatives scored and the use of scales in MAVT versus the pairwise comparison in AHP. However, the preference order of the top criteria with both methods was the same and weights were similar.",
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Food chain design using multi criteria decision making, an approach to complex design issues. / Linnemann, A.R.; Hendrix, E.M.T.; Apaiah, R.K.; van Boekel, M.A.J.S.

In: NJAS Wageningen Journal of Life Sciences, Vol. 72-73, 2015, p. 13-21.

Research output: Contribution to journalArticleAcademicpeer-review

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