Optimization in Sustainable Production and Logistic Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (25 May 2022) | Viewed by 11516
Special Issue Editors
Interests: supply chain planning; operational research; reverse logistic; inventory control; optimisation
Special Issues, Collections and Topics in MDPI journals
Interests: operational research; planning and scheduling; optimal design of production and assembly lines; layout; transport optimization; Heuristics and Meta-heuristics; Multi objective optimisation; supply chain
Special Issues, Collections and Topics in MDPI journals
Interests: planning and scheduling; optimal design of production and assembly lines; layout; transport optimization; reliability and maintenance optimization; heuristic and metaheuristic (genetic algorithm, ant colony, PSO, etc.); discrete optimization methods (mathematical programming, stochastic algorithms); multi objective optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
During the last decades, integrating sustainability in production and logistic optimisation has become an important challenge due to legislation and society’s pressures. Models and methods for performance optimization in production and logistic systems have to consider the environmental and social aspects nearby economical goals. Integrated these aspects in design, development and resolution of quantitative optimisation models is often a critical issue. If the environmental aspects are more and present in supply chain optimisation models, the modelling of the social and human aspects is more limited.
This special issue aims to display recent works (theoretical breakthrough, industrial cases or review) on quantitative models and methods for production and logistic systems that integrates the different dimensions of sustainability. The topics of interests are related to (but not limited to) the integration of objectives, variables and/or constraints in optimisation models of supply chain, production or logistic with considerations of:
- Energy efficiency, emission control and environmental impacts modelling in production and logistic optimisation models;
- Closed loop supply chain, reverse logistic, recycling and disassembly planning;
- Social impact, well-being at work and human interaction.
Dr. Matthieu Godichaud
Pr. Lionel Amodeo
Pr. Farouk Yalaoui
Guest Editors
Keywords
- Production and logistic systems
- Planning
- Scheduling
- Quantitative model
- Sustainability
- Optimization