Special Issue "Advances in Sustainable Supply Chains"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Computational Methods".

Deadline for manuscript submissions: 15 March 2020.

Special Issue Editors

Prof. Dr. Taesu Cheong
E-Mail Website
Guest Editor
School of Industrial Management Engineering, Korea University, Seoul 02841, South Korea
Interests: Sustainable logistics; transportation and SCM; Business analytics in logistics and SCM
Prof. Dr. Sang Hwa Song
E-Mail Website
Guest Editor
Graduate School of Logistics, Incheon National University, Incheon22012, South Korea
Interests: supply chain management; logistics; digital strategy; sustainability

Special Issue Information

Dear Colleagues,

Supply chain management is an indispensable part of a business’s sustainability program. Knowing the level of environmental, social, and economic impact and viability of suppliers and customers is becoming increasingly common as all industries move towards a more sustainable future. Indeed, companies are striving to operate in a more sustainable manner. In the meantime, sustainability has been one of the key drivers of technological innovation, and much of the increase in business efficiency over recent years has been achieved with the help of advanced technologies such as IoT/RFID, big data, artificial intelligence, blockchain, and so on. While the potential of such technologies is enormous, so are the challenges involved in seamlessly integration across organizations in a sustainable manner.

In this context, this Special Issue on "Advances in Sustainable Supply Chains" aims to incorporate recent innovative methodologies and models for leading and moving toward sustainability in logistics and supply chain management. Topics include, but are not limited to, the following:

  • Sustainable supply chain management with applications
  • Robust and resilient supply chain design and operation
  • Smart and sustainable manufacturing systems and technologies
  • Sustainable production and inventory management
  • Sustainable distribution management
  • Sustainable logistics networks design
  • Green and sustainable logistics and transportation
  • Analytical models for sustainable supply chain
  • Green and close-loop logistics and supply chain management
  • Big data management and IoT for sustainable supply chains
  • Sustainable humanitarian logistics and supply chain management

This Special Issue welcomes full research articles, short communications, conceptual papers, literature reviews, and case studies (descriptive papers illustrating a particular practice or a solution to a managerial problem). Papers using analytical methods or mathematical modeling developments are particularly interesting for this Special Issue.

Prof. Dr. Taesu Cheong
Prof. Dr. Sang Hwa Song
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 papers will be 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. Processes is an international peer-reviewed open access monthly 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 1400 CHF (Swiss Francs). Please note that for papers submitted after 30 June 2020 an APC of 1500 CHF applies. 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

  • sustainability
  • logistics
  • transportation
  • supply chain management
  • big data
  • IoT
  • smart manufacturing
  • green supply chain
  • sustainable production
  • humanitarian logistics

Published Papers (6 papers)

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Research

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Open AccessArticle
A Two-Stage Optimal Scheduling Model of Microgrid Based on Chance-Constrained Programming in Spot Markets
Processes 2020, 8(1), 107; https://doi.org/10.3390/pr8010107 - 14 Jan 2020
Abstract
Aimed at the coordination control problem of each unit caused by microgrid participation in the spot market and considering the randomness of wind and solar output and the uncertainty of spot market prices, a day-ahead real-time two-stage optimal scheduling model for microgrid was [...] Read more.
Aimed at the coordination control problem of each unit caused by microgrid participation in the spot market and considering the randomness of wind and solar output and the uncertainty of spot market prices, a day-ahead real-time two-stage optimal scheduling model for microgrid was established by using the chance-constrained programming theory. On this basis, an improved particle swarm optimization (PSO) algorithm based on stochastic simulation technology was used to solve the problem and the effect of demand side management and confidence level on scheduling results is discussed. The example results verified the correctness and effectiveness of the proposed model, which can provide a theoretical basis in terms of reasonably coordinating the output of each unit in the microgrid in the spot market. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
Open AccessArticle
Optimization of the Technology Transfer Process Using Gantt Charts and Critical Path Analysis Flow Diagrams: Case Study of the Korean Automobile Industry
Processes 2019, 7(12), 917; https://doi.org/10.3390/pr7120917 - 03 Dec 2019
Abstract
This research is focused on the technology transfer process in the automobile industry using project management tools. The aim of this research is the development of a technology-transfer model using Gantt charts and Critical Path Analysis flow diagrams to achieve a sustainable planning [...] Read more.
This research is focused on the technology transfer process in the automobile industry using project management tools. The aim of this research is the development of a technology-transfer model using Gantt charts and Critical Path Analysis flow diagrams to achieve a sustainable planning process in the global environment. To achieve this goal, the authors use Gantt charts and Critical Path Analysis flow diagrams. The hypothesis and three research questions are presented, which suggest a relationship between project management tools and the sustainable planning process of technology transfer. During the research, we use the case study of the Korean automobile industry as an excellent example of the technology-transfer process in global markets. A single project of technology transfer is discussed: the technology knowledge transfer from Korean headquarters to a Russian manufacturing subsidiary (Hyundai Motor Corporation). Quantitative data were collected through the open resources of the corporation; the qualitative data were analyzed through a case study and model parameter evaluation. The significant result that the combination of Gantt Charts and Critical Path Analysis flow diagrams methods improves the planning process for technology-transfer projects was found in this survey. It is noticed that (a) it is useful to apply project-management tools for technology transferring models; (b) Gantt Charts and Critical Path Analysis flow diagrams have a sustainable impact on technology transfer projects; and (c) critical paths and operational reserves in network diagrams help to optimize the planning process for technology transfer. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
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Open AccessArticle
Game Analysis of Wind Storage Joint Ventures Participation in Power Market Based on a Double-Layer Stochastic Optimization Model
Processes 2019, 7(12), 896; https://doi.org/10.3390/pr7120896 - 02 Dec 2019
Abstract
The volatility of a new energy output leads to bidding bias when participating in the power market competition. A pumped storage power station is an ideal method of stabilizing new energy volatility. Therefore, wind power suppliers and pumped storage power stations first form [...] Read more.
The volatility of a new energy output leads to bidding bias when participating in the power market competition. A pumped storage power station is an ideal method of stabilizing new energy volatility. Therefore, wind power suppliers and pumped storage power stations first form wind storage joint ventures to participate in power market competition. At the same time, middlemen are introduced, constructing an upper-level game model (considering power producers and wind storage joint ventures) that forms equilibrium results of bidding competition in the wholesale and power distribution markets. Based on the equilibrium result of the upper-level model, a lower model is constructed to distribute the profits from wind storage joint ventures. The profits of each wind storage joint venture, wind power supplier, and pumped storage power station are obtained by the Nash negotiation and the Shapely value method. Finally, a case study is conducted. The results show that the wind storage joint ventures can improve the economics of the system. Further, the middlemen can smooth the rapid fluctuation of power price in the distribution and wholesale market, maintaining a smooth and efficient operation of the electricity market. These findings provide information for the design of an electricity market competition mechanism and the promotion of new energy power generation. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
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Open AccessArticle
Advanced Methodologies for Biomass Supply Chain Planning
Processes 2019, 7(10), 659; https://doi.org/10.3390/pr7100659 - 26 Sep 2019
Cited by 1
Abstract
Renewable energy resources have received increasing attention due to environmental concerns. Biomass, one of the most important renewable energy resources, is abundant in agricultural-based countries. Typically, the biomass supply chain is large due to the huge amount of relevant data required for building [...] Read more.
Renewable energy resources have received increasing attention due to environmental concerns. Biomass, one of the most important renewable energy resources, is abundant in agricultural-based countries. Typically, the biomass supply chain is large due to the huge amount of relevant data required for building the model. As a result, using a standard optimization package to determine the solution for the biomass supply chain model might not be practical. In this study, the focus is on developing and applying advanced methodologies that can be used to determine a solution for the biomass supply chain model efficiently. The decisions related to plant selection, and distribution of biomass from suppliers to plants require optimization. The methodologies considered in this research are based on stochastic programming, parameter search, and simulation-based optimization. Computational results and managerial insights based on case studies from different regions of Vietnam are provided. The results show that parameter search is suitable for small problems only, while stochastic programming is suitable for small and medium problems. For large problem, simulation-based optimization performs better when considering the quality of the solution and the run time, although, this method does not guarantee an optimal solution. It provides good solutions where the gaps to the optimal solutions are between 0.59% and 8.41%. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
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Open AccessArticle
Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment
Processes 2019, 7(9), 573; https://doi.org/10.3390/pr7090573 - 29 Aug 2019
Abstract
As enterprises pay more and more attention to environmental issues, the green supply chain management (GSCM) mode has been extensively utilized to guarantee profit and sustainable development. Green supplier selection (GSS), which is a key segment of GSCM, has been investigated to put [...] Read more.
As enterprises pay more and more attention to environmental issues, the green supply chain management (GSCM) mode has been extensively utilized to guarantee profit and sustainable development. Green supplier selection (GSS), which is a key segment of GSCM, has been investigated to put forward plenty of GSS approaches. At present, enterprises prefer to construct the large-scale teams of decision makers to obtain the more reasonable ranking results during GSS process. However, the existing methods pay little attention to the large-scale GSS procedure. To investigate the GSS issue with a large-scale group of decision makers, a new GSS approach under a q-rung interval-valued orthopair fuzzy environment is developed. The q-rung interval-valued orthopair fuzzy numbers are introduced to describe the evaluation information of green suppliers. Combined with a clustering approach and several clustering principles, the large-scale decision makers are divided into several subgroups. Next, the similarity measures between the evaluation matrices are computed to determine the weights of subgroups, and the collective evaluation information can be obtained using the q-rung interval-valued orthopair fuzzy aggregation operator. According to the weighted entropy measure, the weights of criteria are calculated; then, the q-rung interval-valued orthopair fuzzy multi-objective optimization on the basis of ratio analysis plus the full multiplicative form (q-RIVOF-MULTIMOORA) method is constructed to determine the best green supplier. At last, a practical GSS example is applied to show the feasibility of the proposed approach, and the sensitivity and comparative analyses indicate that for the large-scale GSS issues, the proposed approach can obtain the more robust and reasonable ranking results. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
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Review

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Open AccessReview
Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives
Processes 2019, 7(11), 802; https://doi.org/10.3390/pr7110802 - 03 Nov 2019
Abstract
Repair and restoration is an important step in remanufacturing as it ensures end-of-life products are returned to as-new condition before entering the subsequent life cycle. Currently, such processes are carried out manually by skilled workers. The advent of additive manufacturing (AM) has encouraged [...] Read more.
Repair and restoration is an important step in remanufacturing as it ensures end-of-life products are returned to as-new condition before entering the subsequent life cycle. Currently, such processes are carried out manually by skilled workers. The advent of additive manufacturing (AM) has encouraged researchers to investigate its potential in automated repair and restoration, thus rendering it as a more effective method for remanufacturing. However, the application of this widespread technology for repair and restoration in remanufacturing is still new. This paper provides an overview of the principles and capabilities offered by the existing metal AM technology for object repair and restoration namely, direct energy deposition, powder bed fusion, and cold spray technology. Their applications in the repair and restoration of remanufacturable components are presented and discussed along with issues requiring attention from the perspectives of object design and process systems capabilities. The study provides a compilation of the challenges in AM repair and restoration, which primarily lie in the aspects of geometrical complexity, geometric dimensioning and tolerancing, material compatibility, and pre-processing requirements since it is critical for remanufacturing to restore end-of-life components to as new-condition. The paper concludes with suggestions for further works in AM restoration to enable product life cycle extension in the circular economy. Full article
(This article belongs to the Special Issue Advances in Sustainable Supply Chains)
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