A multi-criteria decision-making framework and analysis of vegetable oils to produce bio-based plastics

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorÄkräs, Lauraen_US
dc.contributor.authorVahvaselkä, Marjattaen_US
dc.contributor.authorSilvenius, Fransen_US
dc.contributor.authorSeppälä, Jukkaen_US
dc.contributor.authorIlvesniemi, Hannuen_US
dc.contributor.departmentDepartment of Chemical and Metallurgical Engineeringen
dc.contributor.groupauthorPolymer technologyen
dc.contributor.organizationNatural Resources Institute Finland (Luke)en_US
dc.date.accessioned2022-09-21T06:06:36Z
dc.date.available2022-09-21T06:06:36Z
dc.date.issued2022-11-15en_US
dc.description.abstractIn the present paper, the suitability of the selected oilseeds, their corresponding vegetable oils, and few other raw materials to produce bio-based plastics was evaluated by constructing a novel criteria-based framework for Multi-Criteria Decision-Making (MCDM) analysis with a focus on the criteria of chemical functionality, sustainability, production quantity, cost, and market availability. Qualitative, semi-quantitative, and quantitative data was utilized as a base for the criteria, for which a 1–5–9 scaling technique was developed to convert the hybrid starting data into the quantitative form, when required. Additionally, two varying sets of starting data, four scenarios with differing weights of importance, as well as two different MCDM techniques, namely Technique for Order Preference and Similarity to Ideal Solution (TOPSIS) and Simple Additive Weighting (SAW), were used as a form of sensitivity analysis. The MCDM results were influenced by the dissimilar algorithm of TOPSIS and SAW techniques, resulting in different level of accuracy and a phenomenon of rank reversal, together with the developed MCDM framework in terms of the utilized data types, scaling technique, assumptions to treat data uncertainty as well as the selected criteria and scenarios. Regardless of the different starting data sets, scenarios, and MCDM techniques utilized for the MCDM analysis, tall, linseed, soybean, and palm oil were identified as the most suitable and palm kernel, coconut, and sunflower oil as the least suitable raw materials with their feature trade-offs to produce bio-based plastics. The MCDM results of the present paper can be treated as a guidepost targeted for diverse actors in the early stage of the bio-based plastics’ value chain with varying point-of-views. Further, in the future, the novel MCDM framework can be of relevant significance in analysing the features of various raw materials to produce bio-based plastics.en
dc.description.versionPeer revieweden
dc.format.extent12
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationÄkräs, L, Vahvaselkä, M, Silvenius, F, Seppälä, J & Ilvesniemi, H 2022, 'A multi-criteria decision-making framework and analysis of vegetable oils to produce bio-based plastics', Industrial Crops and Products, vol. 188, no. Part A, 115584. https://doi.org/10.1016/j.indcrop.2022.115584en
dc.identifier.doi10.1016/j.indcrop.2022.115584en_US
dc.identifier.issn0926-6690
dc.identifier.issn1872-633X
dc.identifier.otherPURE UUID: ae5b4283-18ce-4956-a423-e937bd6765fden_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/ae5b4283-18ce-4956-a423-e937bd6765fden_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/88352116/CHEM_kr_s_et_al_A_multi_criteria_decision_making_2022_Industrial_Crops_and_Products.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/116878
dc.identifier.urnURN:NBN:fi:aalto-202209215676
dc.language.isoenen
dc.publisherElsevier
dc.relation.ispartofseriesIndustrial Crops and Productsen
dc.relation.ispartofseriesVolume 188, issue Part Aen
dc.rightsopenAccessen
dc.subject.keywordRaw materialen_US
dc.subject.keywordVegetable oilen_US
dc.subject.keywordBio-based plasticen_US
dc.subject.keywordMulti-criteria decision-making (MCDM) analysisen_US
dc.subject.keywordTechnique for Order Preference and Similarity to Ideal Solution (TOPSIS)en_US
dc.subject.keywordSimple Additive Weighting (SAW)en_US
dc.titleA multi-criteria decision-making framework and analysis of vegetable oils to produce bio-based plasticsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
CHEM_kr_s_et_al_A_multi_criteria_decision_making_2022_Industrial_Crops_and_Products.pdf
Size:
2.35 MB
Format:
Adobe Portable Document Format