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Multi-criteria decision-making and life cycle assessment model for optimal product selection: case study of knee support (CROSBI ID 237121)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Vukelić, Djordje ; Budak, Igor ; Tadić, Branko ; Šimunović, Goran ; Kljajić, Vladimir ; Agarski, Boris Multi-criteria decision-making and life cycle assessment model for optimal product selection: case study of knee support // International Journal of Environmental Science and Technology, 14 (2017), 2; 353-364. doi: 10.1007/s13762-016-1151-8

Podaci o odgovornosti

Vukelić, Djordje ; Budak, Igor ; Tadić, Branko ; Šimunović, Goran ; Kljajić, Vladimir ; Agarski, Boris

engleski

Multi-criteria decision-making and life cycle assessment model for optimal product selection: case study of knee support

Selection of the optimal product, where several products’ aspects are expressed through criteria, is a multicriteria decision-making problem. Besides technical, exploitational, functional, structural, market and aesthetic criteria, nowadays, environmental criteria are inevitable aspects of a modern product. Environmental product properties can be successfully evaluated with a life cycle assessment. This paper proposes a multi-criteria decision-making model for optimal product assessment that uses environmental criteria obtained from a life cycle assessment. The proposed model presents a comprehensive approach that aims to overcome complex decision-making problems for optimal product selection, where special attention is given to the product’s environmental impact. Verification of the proposed multi-criteria decision-making and life cycle assessment model was performed on the case study of optimal knee support selection. By changing the criteria weights in multi-criteria decision-making, a sensitivity analysis was performed. The model output results show the product alternatives ranking that supports decision-making in optimal product selection.

Analysis, Life cycle, Optimisation, Product properties

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Podaci o izdanju

14 (2)

2017.

353-364

objavljeno

1735-1472

10.1007/s13762-016-1151-8

Povezanost rada

Strojarstvo

Poveznice
Indeksiranost