Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Sustainable Scheduling in Emerging Manufacturing Scenarios
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Sustainable Scheduling in Emerging Manufacturing Scenarios

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

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 5273

Special Issue Editors

Prof. Dr. Jose M. Framinan

E-Mail Website
Guest Editor
Industrial Management, School of Engineering, University of Seville, 41004 Sevilla, Spain
Interests: decision system and models in industry and services
Special Issues, Collections and Topics in MDPI journals
Dr. Paz Perez-Gonzalez

E-Mail Website
Guest Editor
Industrial Management, School of Engineering, University of Seville, 41004 Sevilla, Spain
Interests: scheduling and process optimization in manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Victor Fernandez-Viagas

E-Mail Website
Guest Editor
Industrial Management, School of Engineering, University of Seville, Seville, Spain
Interests: planning and scheduling in manufacturing and healthcare systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The consideration of sustainability aspects in scheduling decisions (either as an isolated decision problem or together with other operations problems, such as lot sizing or transportation) is known to have the potential to report extensive benefits for the companies, in both economic and social/environmental terms. It is thus not surprising that the academic literature dealing with sustainable scheduling is continuing to grow rapidly. In addition, nowadays, manufacturing is undergoing radical changes as a result of a number of factors, including the increasing usage of novel processing technologies (such as additive manufacturing), the integration of information and communication technologies (such as IoT or cyberphysical systems), or the adoption of novel production management architectures (such as cloud/distributed manufacturing). Clearly, scheduling decisions in the emerging manufacturing contexts resulting from the intersection of these factors (such as Industry 4.0 and smart manufacturing) need also to be assessed in terms of their sustainability. To help fulfilling this goal, this Special Issue is aimed at publishing high-quality research addressing sustainable scheduling in today’s manufacturing paradigms. The topics of interest for this Special Issue include, but are not limited, to the following:

  • Energy-aware scheduling/smart-energy scheduling
  • Energy-efficient/energy-saving scheduling
  • Sustainable scheduling
  • Green scheduling
  • Waste minimization scheduling
  • Integration of scheduling and other decision problems (i.e., lot sizing and scheduling, and transportation and scheduling) incorporating sustainability considerations.

Prof. Dr. Jose M. Framinan
Dr. Paz Perez-Gonzalez
Dr. Victor Fernandez-Viagas
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

  • scheduling
  • sustainability
  • waste minimization
  • energy-saving manufacturing

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 17573 KiB  
Article
The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes under Uncertain Demand, Yields and Prices
by Sheng-I Chen and Wei-Fu Chen
Sustainability 2021, 13(17), 9660; https://doi.org/10.3390/su13179660 - 27 Aug 2021
Cited by 2 | Viewed by 2049
Abstract
This study focuses on the decisions of picking, inventory, ripening, delivering, and selling mangoes in a harvesting season. Demand, supply, and prices are uncertain, and their probability density functions are fitted based on actual trading data collected from the largest spot market in [...] Read more.
This study focuses on the decisions of picking, inventory, ripening, delivering, and selling mangoes in a harvesting season. Demand, supply, and prices are uncertain, and their probability density functions are fitted based on actual trading data collected from the largest spot market in Taiwan. A stochastic programming model is formulated to minimize the expected cost under the considerations of labor, storage space, shelf life, and transportation restrictions. We implement the sample-average approximation to obtain a high-quality solution of the stochastic program. The analysis compares deterministic and stochastic solutions to assess the uncertain effect on the harvest decisions. Finally, the optimal harvest schedule of each mango variety is suggested based on the stochastic program solution. Full article
(This article belongs to the Special Issue Sustainable Scheduling in Emerging Manufacturing Scenarios)
►▼ Show Figures

Figure 1

23 pages, 2615 KiB  
Article
Sustainable Scheduling of the Production in the Aluminum Furnace Hot Rolling Section with Uncertain Demand
by Yiping Huang, Qin Yang, Jinfeng Liu, Xiao Li and Jie Zhang
Sustainability 2021, 13(14), 7708; https://doi.org/10.3390/su13147708 - 9 Jul 2021
Cited by 4 | Viewed by 2436
Abstract
In order to reduce the energy consumption of furnaces and save costs in the product delivery time, the focus of this paper is to discuss the uncertainty of demand in the rolling horizon and to globally optimize the sustainability of the production in [...] Read more.
In order to reduce the energy consumption of furnaces and save costs in the product delivery time, the focus of this paper is to discuss the uncertainty of demand in the rolling horizon and to globally optimize the sustainability of the production in the aluminum furnace hot rolling section in environmental and economic dimensions. First, the triples α/β/γ are used to describe the production scheduling in the aluminum furnace hot rolling section as the scheduling of flexible flow shop, satisfied to constraints of demand uncertainty, operation logic, operation time, capacity and demand, objectives of minimizing the residence time of the ingot in the furnace and minimizing the makespan. Second, on the basis of describing the uncertainty of demand in rolling horizon with the scenario tree, a multi-objective mixed integer linear programming (MILP) optimization model for sustainable production in the aluminum furnace hot rolling section is formulated. Finally, an aluminum alloy manufacturer is taken as an example to illustrate the proposed model. The computational results show that when the objective weight combination takes the value of α=0.7, β=0.3, the sustainability indicators of the environmental and economic dimensions can be optimized to the maximum extent possible at the same time. Increasingly, managerial suggestions associated with the trade-off between environmental and economic dimensions are presented. Scheduling in the rolling horizon can optimize the production process of the aluminum furnace hot rolling section globally, indicating that it is more conducive to the sustainable development of the environment and economic dimensions than scheduling in a single decision time period. Full article
(This article belongs to the Special Issue Sustainable Scheduling in Emerging Manufacturing Scenarios)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop