Sustainability in Manufacturing Scheduling: New Extended Optimization Approaches
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 207
Special Issue Editor
Interests: scheduling and process optimization in manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the high cost of the energy is a clear concern in manufacturing companies. There is a need to consider these cost in all decisions made by companies. Related to this issue, literature on sustainable scheduling in manufacturing is growing, mainly in view of energy-consumption-related objective function in optimization scheduling, which has helped to report extensive benefits for the companies, both in economic and social/environmental terms. In the supply chain, manufacturing companies conform complex layouts with different (distributed) factories or hybrid layouts where the orders should be produced, implying that the transportation of raw materials or semi-elaborated products which generate CO2 emissions and wastes should be minimized. These scheduling problems should be extended to include new decisions related to the assignation of orders in factories, as well as minimizing emissions and energy consumption. To help fulfill this goal, this Special Issue is aims to publish high-quality research which addresses sustainable scheduling in today’s manufacturing paradigms. The topics of the special issue include, but are not limited to:
- Energy-aware scheduling/smart energy scheduling
- Energy-efficient/energy-saving scheduling
- Sustainable scheduling
- Green scheduling
- Waste minimization scheduling
- Integration of scheduling and other decision problems (i.e., lot-sizing and scheduling, transportation and scheduling), incorporating sustainability considerations.
Dr. Paz Perez-Gonzalez
Guest Editor
Manuscript Submission Information
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Keywords
- scheduling
- sustainability
- waste minimization
- energy-saving manufacturing