02687nam 2200409z- 450 991055738280332120231214133501.0(CKB)5400000000042071(oapen)https://directory.doabooks.org/handle/20.500.12854/68857(EXLCZ)99540000000004207120202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMulti-Criteria Decision-Making Techniques for Improvement Sustainability Engineering ProcessesVolume 1Basel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (488 p.)3-03936-778-1 3-03936-779-X The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers propose new approaches and elaborate case studies in the following areas of application: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approaches for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, and multi-criteria decision-making in strategic management based on sustainable criteria.Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes History of engineering & technologybicsscHistory of engineering & technologyZavadskas Edmundas Kazimierasedt1280540Pamučar DraganedtStević ŽeljkoedtMardani AbbasedtZavadskas Edmundas KazimierasothPamučar DraganothStević ŽeljkoothMardani AbbasothBOOK9910557382803321Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes3025703UNINA