Parichehreh et al., 2024 - Google Patents
An energy-efficient unrelated parallel machine scheduling problem with learning effect of operators and deterioration of jobsParichehreh et al., 2024
- Document ID
- 12546052511350895475
- Author
- Parichehreh M
- Gholizadeh H
- Fathollahi-Fard A
- Wong K
- Publication year
- Publication venue
- International Journal of Environmental Science and Technology
External Links
Snippet
In the realm of energy-efficient production scheduling, numerous multi-objective optimization models and metaheuristic solutions have been proposed. However, there remains a gap in the literature concerning the consideration of job deterioration and the learning effects of …
- 230000006866 deterioration 0 title abstract description 46
Classifications
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
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- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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