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Optimization, Big Data, and Data Mining-Related Challenges in Industrial Decision-Making to Achieve Sustainable Development Goals

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

Deadline for manuscript submissions: closed (27 October 2023) | Viewed by 2647

Special Issue Editors


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Guest Editor
Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
Interests: artificial intelligence and machine learning, operations management; operations research and decision analysis; supply chain management
Special Issues, Collections and Topics in MDPI journals
Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh 202002, India
Interests: applied statistics; supply chain networks and management; mathematical programming; fuzzy logic and optimization; multi-objective optimization; UN sustainable development goals; renewable energy production modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Industrial Systems Engineering, University of Regina, Regina, SK S4S 0A2, Canada
Interests: system risk, reliability, resilience assessment; interdependent network resilience analytics; multi-criteria decision analysis under risk and uncertainty; infrastructure management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

According to the summit of the United Nations (UN) General Assembly 2015, 17 sustainable development goals (SDG) have been adopted “to end poverty, protect the planet through ensuring that all people enjoy peace and prosperity by the year 2030”. Sustainable development is actively used as one of the main preventative instruments to reduce the environment's declining condition. In the corporate world, sustainable development is associated with an organization’s holistic approach, considering everything from manufacturing to logistics to customer service. Going green and sustainable benefits the company and maximizes the environmental focus in the long term. Researchers are continuously trying to adopt it in their research domain, mainly in financial modeling, supply chain, transport systems, healthcare systems, construction management, business intelligence, etc. In this Special Issue, researchers from academia and industries are invited to submit papers that explore theoretical, methodological (e.g., optimizations, statistical modelings, soft computing, big data and data mining), and state-of-the-art case studies in selected areas of application related to sustainable development decision making.

Prof. Dr. Syed Mithun Ali
Dr. Irfan Ali
Dr. Golam Kabir
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

  • sustainable development
  • sustainability assessment
  • supply chain and logistics management
  • circular economy
  • Industry 4.0
  • multi-criteria decision makings
  • optimization techniques and applications
  • multi-objective optimization techniques and applications
  • soft computing techniques
  • big data and data mining

Published Papers (1 paper)

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Research

15 pages, 2307 KiB  
Article
Evaluation of Carbon Emission Factors in the Cement Industry: An Emerging Economy Context
by Mohammad Zahirul Khaiyum, Sudipa Sarker and Golam Kabir
Sustainability 2023, 15(21), 15407; https://doi.org/10.3390/su152115407 - 29 Oct 2023
Viewed by 2096
Abstract
The cement industry is a major contributor to carbon emissions, responsible for 5–8% of global emissions. This industry is expanding, particularly in emerging economies, and it is expected that CO2 emissions will rise by 4% by 2050. To address this critical concern, [...] Read more.
The cement industry is a major contributor to carbon emissions, responsible for 5–8% of global emissions. This industry is expanding, particularly in emerging economies, and it is expected that CO2 emissions will rise by 4% by 2050. To address this critical concern, this paper identifies ten factors that contribute to carbon emissions in the cement production process through an extensive literature review and prioritises these factors using the Bayesian best–worst method. The data was gathered by conducting a methodical online survey with seven cement industry professionals in Bangladesh, with the aim of gaining insights into the emerging economy. The results illustrate that fuel burning and electricity consumption are the two greatest contributors to CO2 emissions in the cement production process. This research provides guidelines for cement industries in emerging economies on how to reduce CO2 emissions as well as suggesting areas of future research for sustainable cement production. Full article
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