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Sustainability
Special Issues
Sustainable Management and Multiple Attribute Decision Making
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Sustainable Management and Multiple Attribute Decision Making

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 13792

Special Issue Editors

Dr. Maria Isabel Gomes

E-Mail Website
Guest Editor
Department of Mathematics and Centre of Mathematics and Applications, NOVA School of Sciences and Technology, Universidade NOVA de Lisboa, Portugal
Interests: modeling and optimization, logistics, and reverse logistics; waste management; (closed-loop) supply chain design; sustainability optimization; multiobjective decision making
Dr. Ana Pires

E-Mail Website
Guest Editor
MARE, Department of Environmental Sciences and Engineering, NOVA School of Sciences and Technology, Universidade NOVA de Lisboa, Portugal
Interests: sustainable waste management and circular economy; multicriteria decision making; sustainability metrics and indicators; policies instruments; life cycle assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2030 Agenda for Sustainable Development, proposed by the United Nations in 2015, set 17 goals (https://sustainabledevelopment.un.org/?menu=1300) that challenge nations to act in a global partnership towards a better future. The aim of this Special Issue is to bring together recent challenges and scientific developments addressing decision making within the context of the Sustainable Development Goals (SDG). All these stakeholders involved in the decision-making process do not all share the same objectives. Operation research models can play a fundamental role in reaching decisions for a better future.

The objective of this Special Issue is to publish rigorous research focusing on the integration of different perspectives in decision making towards “Good Health and Well-Being”, “Sustainable Cities and Communities”, and “Responsible consumption and production” goals. Works focusing on the other goals are also welcomed.

Without being exhaustive, the topics of interest include the following fields:

  • Data-driven application;
  • Closed-loop supply chain modeling;
  • Sustainable supply chain management;
  • Tertiary logistics;
  • Reverse logistics;
  • Multiple stakeholder decision-making models;
  • Multiobjective optimization in sustainability;
  • Multiple criteria decision making in sustainability;
  • Reference-point-based models;
  • Group decision-making models;
  • Multiobjective metaheuristics in sustainable decisions
  • Goal programming;
  • Sustainability indicators, including life cycle analysis.

Each paper will be peer-reviewed according to the editorial policy of Sustainability. Papers should be original, unpublished, and not currently under consideration for publication elsewhere. They should be prepared according to the instructions to authors that can be found on the journal homepage.

Authors should upload their contributions using the submission site. The deadline for submissions is 31 November 2020.

Dr. Maria Isabel Gomes
Dr. Ana Pires
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

  • decision making
  • sustainable development goals
  • multiobjective optimization
  • multiple criteria decision making
  • logistics
  • supply chain management
  • multicriteria decision support
  • tertiary logistics
  • environmental impacts
  • socioeconomic impacts

Published Papers (3 papers)

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Research

33 pages, 13632 KiB  
Article
A Lean Approach to Developing Sustainable Supply Chains
by Carina L. Gargalo, Eduardo Pereda Pons, Ana Paula Barbosa-Povoa and Ana Carvalho
Sustainability 2021, 13(7), 3714; https://doi.org/10.3390/su13073714 - 26 Mar 2021
Cited by 5 | Viewed by 3868
Abstract
Corporations and their supply chains have to go through significant changes to become more sustainable as society is pressing for sustainable systems. To this end, it is critical to develop new methodologies to trim away processes and activities that add no value and, [...] Read more.
Corporations and their supply chains have to go through significant changes to become more sustainable as society is pressing for sustainable systems. To this end, it is critical to develop new methodologies to trim away processes and activities that add no value and, thus, derive more sustainable supply chains. Considering the need to have a simple tool that can be used by managers to achieve this goal, in this work, we explore the value stream mapping method (VSM) and extend it to support the design of sustainable supply chains in a more systematic and quantitative way. This work proposes a new generic methodology, called SustainSC-VSM, which allows assessing the supply chain’s performance through a set of realistic indicators. These indicators are designed to identify bottlenecks that hinder sustainable operations development and provide guidelines to achieve that goal by following a lean-driven sustainability approach. SustainSC-VSM was tested and validated through its application to a relevant industrial case study, where operational bottlenecks were pinpointed and potential solutions were identified to seek continuous improvement. Although envisioned to be generic and applicable to all supply chains, the indicators should be selected according to the context in study (e.g., services). SustainSC-VSM aims at being a generic and systematic tool to design future value stream maps to achieve a more sustainable supply chain following a lean-driven sustainability approach, through the use of multi-dimensional and multi-disciplinary indicators to identify and solve the supply chain’s bottlenecks. Full article
(This article belongs to the Special Issue Sustainable Management and Multiple Attribute Decision Making)
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20 pages, 3841 KiB  
Article
The Dynamics of Sustainability Risks in the Global Coffee Supply Chain: A Case of Indonesia–UK
by Mahdi Bashiri, Benny Tjahjono, Jordon Lazell, Jennifer Ferreira and Tomy Perdana
Sustainability 2021, 13(2), 589; https://doi.org/10.3390/su13020589 - 9 Jan 2021
Cited by 18 | Viewed by 7119
Abstract
Indonesia is one of the leading global coffee producers, and the sustainability of its coffee supply chains is therefore of crucial importance, not only for the coffee sector, but also for the thousands of livelihoods involved. Recognising sustainability risks within supply chains is [...] Read more.
Indonesia is one of the leading global coffee producers, and the sustainability of its coffee supply chains is therefore of crucial importance, not only for the coffee sector, but also for the thousands of livelihoods involved. Recognising sustainability risks within supply chains is an important component of understanding logistics. This research investigated the sustainability risks in the Indonesia–UK coffee supply chain by using System Dynamics (SD), a simulation modeling paradigm commonly used to assess complex systems. The model parameters and other components of the dynamic model were extracted through interviews with key stakeholders in the coffee supply chain, supported by evidence from a literature review. The model was then verified and validated in different stages, before being used to investigate five different what-if scenarios to consider changes to parameters in the system. The results of this investigation demonstrate the importance of improving agricultural productivity to support a sustainable coffee supply chain. This research also confirms that by combining the SD model and the multiple criteria decision-making technique, it is possible to achieve a more practical and accurate solution than by the individual tool alone, thus ensuring a better understanding of the whole issues affecting the coffee supply chain. Full article
(This article belongs to the Special Issue Sustainable Management and Multiple Attribute Decision Making)
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15 pages, 922 KiB  
Article
The Hierarchical VIKOR Method with Incomplete Information: Supplier Selection Problem
by Jong Hyen Kim and Byeong Seok Ahn
Sustainability 2020, 12(22), 9602; https://doi.org/10.3390/su12229602 - 18 Nov 2020
Cited by 36 | Viewed by 2079
Abstract
To solve a multi-criteria decision-making problem, many attempts have been made to alleviate difficulties of obtaining precise preference information attributed to time pressure, lack of data and domain knowledge, limited attention and information processing capabilities, etc. Structuring any decision problem hierarchically is known [...] Read more.
To solve a multi-criteria decision-making problem, many attempts have been made to alleviate difficulties of obtaining precise preference information attributed to time pressure, lack of data and domain knowledge, limited attention and information processing capabilities, etc. Structuring any decision problem hierarchically is known to be an efficient way of dealing with complexity and identifying the major components of the problem. In this paper, we propose the hierarchical VIKOR method that uses incomplete alternatives’ values as well as incomplete criteria weights, extending previous works that consider mostly intervals or fuzzy under a flat structure of criteria. It ranks alternatives using the aggregated scores of group utility and individual regret scores which are computed from the linear programs. To show how to use our proposed method, we exemplified an international supplier selection problem that affects the organization’s sustainable growth. Full article
(This article belongs to the Special Issue Sustainable Management and Multiple Attribute Decision Making)
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