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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

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Keywords

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

Published Papers (2 papers)

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Research

30 pages, 4116 KiB

Open AccessArticle

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://0-doi-org.brum.beds.ac.uk/10.3390/su151310181 - 27 Jun 2023

Cited by 1 | Viewed by 1047

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 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

Open AccessArticle

Multi-Objective Optimization of the Organization’s Performance for Sustainable Development

by Flavia Fechete and Anișor Nedelcu

Sustainability 2022, 14(15), 9179; https://0-doi-org.brum.beds.ac.uk/10.3390/su14159179 - 27 Jul 2022

Cited by 1 | Viewed by 1639

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 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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