Advances in Decision Making and Data Analysis for Sustainable Operations and Supply Chain Management in the Industry 4.0 Era
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 29160
Special Issue Editor
Interests: epidemiology and prevention of congenital anomalies; psychosis and affective psychosis; cancer epidemiology and prevention; molecular and human genome epidemiology; evidence synthesis related to public health and health services research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable operations and sustainable supply chain management require an inclusive comprehensive and multitier perspective, with a focus on decision support and data analysis for green development, life cycle assessment, and sustainable supply chains. By leveraging Industry 4.0 technology, decision support and big data have begun to yield unprecedented advances in green development and sustainable operations management at every step of the industrial process, thereby improving the quality and sustainability of supply chains and helping organizations to develop innovative social and environmental responsibility initiatives. Decision models and data analysis for sustainable operations also help to reduce and even eliminate downtime, because the models and data provide insights on optimal maintenance schedules.
Hence, this Special Issue will comprise a selection of theoretical and empirical papers covering the breadth of decision making and data analysis for the sustainability and operational considerations faced by corporations in the Industry 4.0 Era. Issues pertaining to corporate social and environmental responsibility will be emphasized. The effective use of decision making and data analysis for green manufacturing strategies can lead to technologic breakthroughs in sustainable packaging, cleaner production, and closed loop systems in supply chains. Innovative topics may include the use of deep learning for sustainable sourcing and supplier management; advances in computational intelligence and data analysis for sensor development and supply chain digitalization; and autonomous systems for sustainable product design as well as green warehousing and transportation. Papers should include novel ideas that address the challenges, opportunities, and strategies involved with implementing decision making tools for sustainable operations and supply chain management from the perspectives of Industry 4.0
Papers selected for this Special Issue will be subject to a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications in the field.
Prof. Dr. Jason K. Levy
Guest Editor
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 models
- sustainable supply chain management
- corporate social responsibility
- big data
- value chains
- manufacturing strategies
- Industry 4.0
- sustainable warehousing
- green logistics and transportation
- data analysis
- sustainable product design and packaging
- corporate social responsibility cleaner production
- supply chain digitalization
- corporate social innovation
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