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 9582

Special Issue Editors


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Guest Editor
Logistics and Industrial Systems Optimization Laboratory (LOSI), University of Technology of Troyes, 10010 Troyes, France
Interests: supply chain planning; operational research; reverse logistic; inventory control; optimisation
Special Issues, Collections and Topics in MDPI journals

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, Collections and Topics in MDPI journals

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, 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

Published Papers (3 papers)

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Research

19 pages, 8366 KiB  
Article
Overall Readiness of Logistics 4.0: A Comparative Study of Automotive, Manufacturing, and Electronics Industries in the West Bohemian Region (Czech Republic)
by Michal Zoubek, Michal Simon and Peter Poor
Appl. Sci. 2022, 12(15), 7789; https://doi.org/10.3390/app12157789 - 02 Aug 2022
Cited by 7 | Viewed by 1520
Abstract
Industry 4.0 brings technologies of automation, the use of collaborative robots, and modern advanced warehousing interconnected with digitization of all steps of the production process, not excluding logistics. Internal logistics vary in different product types. Due to the specification of the Industry 4.0. [...] Read more.
Industry 4.0 brings technologies of automation, the use of collaborative robots, and modern advanced warehousing interconnected with digitization of all steps of the production process, not excluding logistics. Internal logistics vary in different product types. Due to the specification of the Industry 4.0. concept, irregularities can be improved into fully autonomous processes. This trend also raises SMEs’ flexibility in terms of business processes and production organization. The transformation to Industry 4.0 is different from many perspectives (technological, organizational, financial). Therefore, companies need to know their processes’ state and determine their readiness for automation and digitization. After this, a consecutive strategy needs to be adjusted. This article presents the evaluation results of a comparison within individual business sectors (automotive, engineering, and electrical engineering fields). Several scientific methods were used for the successful realization of the objectives of the work (basic logical methods and empirical methods). The proposed methodology was verified in the form of an experiment in selected industrial enterprises. Internal logistics processes were observed inside real enterprises as a form of suitable preliminary research. Further potential cooperation between the companies and a team of experts specializing in Industry 4.0 is planned. Full article
(This article belongs to the Special Issue Optimization in Sustainable Production and Logistic Systems)
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17 pages, 2277 KiB  
Article
Logistics: Impact of Industry 4.0
by Sarah El Hamdi and Abdellah Abouabdellah
Appl. Sci. 2022, 12(9), 4209; https://doi.org/10.3390/app12094209 - 21 Apr 2022
Cited by 16 | Viewed by 5374
Abstract
The term “Industry 4.0” relates broadly to intelligent digitization, products, and value chain processes automation, an integration of real and virtual manufacturing worlds where products, factories, humans, and objects merge with embedded software in intelligent, distributed systems. The fourth industrial revolution currently encompasses [...] Read more.
The term “Industry 4.0” relates broadly to intelligent digitization, products, and value chain processes automation, an integration of real and virtual manufacturing worlds where products, factories, humans, and objects merge with embedded software in intelligent, distributed systems. The fourth industrial revolution currently encompasses many examples of application in several fields ranging from health to industry. However, despite this recent interest, the emergence of digitalization in the logistics industry has received little attention, especially in light of the fact that digitization is of increasing strategic importance for companies in a changing and highly competitive environment as it impacts their established processes, business models, and sector boundaries while also having an ecological impact. The new trade strategies put forward by the United Nations in their development plan revolve around sustainability, especially in the industrial sector. Technological advances related to the fourth industrial revolution represent the best approach to ensure sustainability, especially if these technologies are applied to the Logistics 4.0 paradigm within manufacturing companies. The focus of our research method, solely based on a bibliography study over a span of the last five years, is on the digitalization of manufacturing companies, while our selection of screened paper is based on a qualitative criterion further discussed in this paper. The purpose of this paper is to first shed light on the link between the last industrial revolution and its impact on the evolution of logistics and then to present the various optimization opportunities and risks, with a focus on efficiency performance. Full article
(This article belongs to the Special Issue Optimization in Sustainable Production and Logistic Systems)
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32 pages, 524 KiB  
Article
Exact Methods and Heuristics for Order Acceptance Scheduling Problem under Time-of-Use Costs and Carbon Emissions
by Mariam Bouzid, Oussama Masmoudi and Alice Yalaoui
Appl. Sci. 2021, 11(19), 8919; https://doi.org/10.3390/app11198919 - 24 Sep 2021
Cited by 4 | Viewed by 1581
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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