Special Issue "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: 25 February 2022.

Special Issue Editors

Dr. Matthieu Godichaud
E-Mail Website
Guest Editor
Logistics and Industrial Systems Optimization Laboratory (LOSI), University of Technology of Troyes, Troyes, France
Interests: operational research; inventory models; mathematical programming; supply chain
Prof. Lionel Amodeo
E-Mail Website
Guest Editor
Logistics and Industrial Systems Optimization Laboratory (LOSI), University of Technology of Troyes, Troyes, France
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 and Collections in MDPI journals
Prof. Farouk Yalaoui
E-Mail Website
Guest Editor
Logistics and Industrial Systems Optimization Laboratory (LOSI), Holder of Connected Innovation Chair, University of Technology of Troyes, Troyes, France
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 and Collections 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

Published Papers (1 paper)

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Research

Article
Exact Methods and Heuristics for Order Acceptance Scheduling Problem under Time-of-Use Costs and Carbon Emissions
Appl. Sci. 2021, 11(19), 8919; https://doi.org/10.3390/app11198919 - 24 Sep 2021
Viewed by 365
Abstract
This research focuses on an Order Acceptance Scheduling (OAS) problem on a single machine under time-of-use (TOU) tariffs and taxed carbon emissions periods with the objective to maximize total profit minus tardiness penalties and environmental costs. Due to the NP-hardness of the considered [...] Read more.
This research focuses on an Order Acceptance Scheduling (OAS) problem on a single machine under time-of-use (TOU) tariffs and taxed carbon emissions periods with the objective to maximize total profit minus tardiness penalties and environmental costs. Due to the NP-hardness of the considered problem especially in presence of sequence-dependent setup-times, two fix-and-relax (FR) heuristics based on different time-indexed (TI) formulations are proposed. A metaheuristic based on the Dynamic Island Model (DIM) framework is also employed to tackle this optimization problem. These approached methods show promising results both in terms of solution quality and solving time compared to state-of-the-art exact solving approaches. Full article
(This article belongs to the Special Issue Optimization in Sustainable Production and Logistic Systems)
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