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Sustainability
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Impact of Technology on Sustainable Production
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Impact of Technology on Sustainable Production

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (25 February 2023) | Viewed by 4639

Special Issue Editors

Dr. Debora Di Caprio

E-Mail Website
Guest Editor
Department of Economics and Management, University of Trento, Trento, Italy
Interests: optimization; operations management; mathematical modelling; linear programming; social influence; mathematical programming; economic theory; heuristics
Special Issues, Collections and Topics in MDPI journals
Dr. Francisco Javier Santos Arteaga

E-Mail Website
Guest Editor
Faculty of Economics and Management, Free University of Bolzano, Bolzano, Italy
Interests: decision theory; operations research; information sciences; innovation; economic growth; institutional economics; wine economics; multiple criteria decision making; organ transplantation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, there has been a considerable increment in the applications of multiple criteria decision-making (MCDM) techniques, such as data envelopment analysis, and multi-objective optimization models to evaluate the performance and efficiency of sustainable production processes. The operational research literature has focused on the main characteristics and effects that technological advances have for the implementation of recycling processes and green supply chains. The integration of these processes as part of the circular economy and their cumulative consequences for climate change define the subsequent research lines within the environmental science literature.

Green supply chains and production processes that account for environmental variables are generally subject to conflicting objectives and require the use of MCDM techniques or the design of multi-objective optimization models, particularly when analyzing complex structures involving strategic interactions across variables. The current Special Issue aims at expanding the analytical tools designed to formalize complex processes dealing with conflicting objectives that involve environmental variables. We welcome formal developments in MCDM techniques and novel extensions of multi-objective optimization models, together with their corresponding applications, designed to analyze the impact of technology on sustainable production processes.

Dr. Debora Di Caprio
Dr. Francisco Javier Santos Arteaga
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multiple criteria decision-making
  • data envelopment analysis
  • multi-objective optimization
  • sustainable production
  • green supply chains
  • recycling
  • circular economy
  • climate change
  • uncertainty

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Published Papers (2 papers)

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Research

30 pages, 4116 KiB  
Article
ICT as a Support for Value Chain Management in Tourism Destinations: The Case of the City of Cuenca, Ecuador
by Gliceria Gómez-Ceballos, Sandys Menoya-Zayas and Juan Pablo Vázquez-Loaiza
Sustainability 2023, 15(13), 10181; https://doi.org/10.3390/su151310181 - 27 Jun 2023
Cited by 3 | Viewed by 1633
Abstract
The accelerated development of information and communication technologies (ICTs) has had an impact on the way tourism is carried out today. The concept of smart cities and smart destinations is gaining momentum, which also requires smart consumers, i.e., informed, communicated, and connected. In [...] Read more.
The accelerated development of information and communication technologies (ICTs) has had an impact on the way tourism is carried out today. The concept of smart cities and smart destinations is gaining momentum, which also requires smart consumers, i.e., informed, communicated, and connected. In this sense, the application of the value chain concept to tourism implies reconsidering the weight of digital technologies in its structure and, therefore, in the decision-making process of current and potential tourists. The study aims to demonstrate the need and convenience of incorporating technology as an innovative factor in the management process of the tourism value chain and its contribution to the positioning of the destination, taking the city of Cuenca (Ecuador) as a case study. The contributions are, firstly, the ICT adoption as an innovation factor in the value chain. In addition, through a survey of foreign tourists, it was verified that ICTs are a trend as a personalized communication channel, which contributes to valuing the integral tourism offer of the territory. Full article
(This article belongs to the Special Issue Impact of Technology on Sustainable Production)
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20 pages, 810 KiB  
Article
Multi-Objective Optimization of the Organization’s Performance for Sustainable Development
by Flavia Fechete and Anișor Nedelcu
Sustainability 2022, 14(15), 9179; https://doi.org/10.3390/su14159179 - 27 Jul 2022
Cited by 1 | Viewed by 2072
Abstract
Sustainable development can be defined in terms of three main components: ecologically sustainable, economically sustainable, and socially sustainable. Conflicting objectives are involved in sustainable development issues, of which the economic, environmental, and social objectives are the most important. Multi-criteria decision-making provides a systematic [...] Read more.
Sustainable development can be defined in terms of three main components: ecologically sustainable, economically sustainable, and socially sustainable. Conflicting objectives are involved in sustainable development issues, of which the economic, environmental, and social objectives are the most important. Multi-criteria decision-making provides a systematic methodology that combines these conflicting objectives and can provide a rational compromise solution to complex decision-making issues. Using multi-objective optimization, this paper integrated three major objectives of organizational performance, maximizing sales, minimizing expenses, and maximizing productivity, all of which are combined for the sustainable development of the organization. All these conflicting problems were included in an objective function that allowed for solving the three objectives simultaneously and, thus, achieving economic, environmental, and social performance, in order to sustainably develop the organization. The input data included the objectives planned by the company regarding the turnover to be achieved, the production and delivery costs, and the productivity achieved by employees. Customer orders, production capacity, delivery costs, and resource consumption were also taken into account for optimization. With the help of multi-objective linear programming, the optimal number of parts produced and delivered by the company was determined so as to reach its economic, environmental, and social performance. Full article
(This article belongs to the Special Issue Impact of Technology on Sustainable Production)
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