

Nowadays every piece of working equipment and tools has to comply with safety standards and laws. This study investigated multi-criteria methods for selecting working equipment in order to optimize performance and occupational safety. The multi-criteria decision-making (MDCM) method was applied to the problem of selecting optimal working equipment using four different criterion weighting approaches (direct weighting, revised Simos procedure, Fuller’s triangle and analytic hierarchy process). Groups of economic, technical and safety criteria were defined and five weighting scenarios were developed. Although the four weighting methods produced similar results, in some situations they produced different criterion weighting factors. The final output of the MCDM method was the identification of the optimal forklift in the five weighting scenarios. Although we have applied the MCDM method to a forklift selection problem, it can be applied to all sorts of working equipment in contexts where economic, technical and safety selection criteria can be identified. © 2017, © 2017 Central Institute for Labour Protection–National Research Institute (CIOP-PIB).
| EMTREE medical terms: | articledecision makingoccupational safetydecision makingdecision support systemdevice safetyeconomicsequipment designhumanoccupational healthstandards |
|---|---|
| MeSH: | Decision MakingDecision Support TechniquesEquipment DesignEquipment SafetyHumansOccupational Health |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | TR 035020 | MPNTR |
| Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina | 142-451-3593/ 2016-02 |
This work was supported by the Government of the Autonomous Province of Vojvodina, Provincial Secretariat for Higher Education and Scientific Research [grant number 142-451-3593/ 2016-02]; the Ministry of Education, Science and Technological Development of the Republic of Serbia [grant number TR 035020].
Agarski, B.; Faculty of Technical Sciences, University of Novi Sad, Serbia;
© Copyright 2019 Elsevier B.V., All rights reserved.