Recent Advances in Manufacturing and Circular Economy

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 1068

Special Issue Editor


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Guest Editor
Institute of Digitalization, IMC University of Applied Sciences Krems, 3500 Krems an der Donau, Austria
Interests: software engineering; requirements engineering; software architecture; systems design-analysis and validation; adaptability and flexiblilty in systems design; configuration and re-configuration of systems; product line engineering; data-driven systems; business analytics and monitoring; industry 4.0

Special Issue Information

Dear Colleagues,

Manufacturing plays a pivotal role in the adoption and implementation of the circular economy by redefining traditional production processes to prioritize resource efficiency, waste reduction, and sustainable practices. Through strategies like product design for disassembly and remanufacturing, manufacturing can extend product lifecycles, minimize waste generation, and reduce the environmental footprint of industrial activities. Embracing the circular economy principles within manufacturing not only contributes to environmental sustainability, but also offers economic benefits by optimizing resource use and reducing production costs.

This Special Issue will provide a platform for researchers, practitioners, and experts to delve into various aspects of sustainable manufacturing, resource efficiency, and circularity within industrial processes. Topics include, but are not limited to, the following:

  • Sustainable manufacturing practices;
  • Product life cycle assessment;
  • Remanufacturing and refurbishment;
  • Sustainable materials and design;
  • Automation and control;
  • Circular economy and industry 4.0;
  • Waste reduction strategies in manufacturing.

This collection of articles serves as a valuable resource for academics, industry professionals, policymakers, and anyone interested in advancing environmentally responsible and resource-efficient manufacturing practices.

Prof. Dr. Deepak Dhungana
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. Machines 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 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.

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Published Papers (1 paper)

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Research

29 pages, 988 KiB  
Article
S-Graph-Based Reactive Scheduling with Unexpected Arrivals of New Orders
by Krisztián Attila Bakon and Tibor Holczinger
Machines 2024, 12(7), 446; https://doi.org/10.3390/machines12070446 - 27 Jun 2024
Viewed by 446
Abstract
Manufacturing processes are often disrupted by unexpected events, such as machine breakdowns, raw material shortages, and the arrival of new orders. Effectively managing these uncertainties is crucial for maintaining the feasibility and optimality of the production system. The efficiency of a manufacturing system [...] Read more.
Manufacturing processes are often disrupted by unexpected events, such as machine breakdowns, raw material shortages, and the arrival of new orders. Effectively managing these uncertainties is crucial for maintaining the feasibility and optimality of the production system. The efficiency of a manufacturing system is heavily dependent on the optimality of its scheduling plan. In this study, we present a reactive scheduling approach based on the S-graph framework. The proposed method is specifically designed to handle the arrival of new jobs and generate schedules with the shortest makespan, i.e., the minimum total completion time. Whenever a new order is received, the method dynamically adjusts the production plan through rescheduling. Three distinct scheduling policies are identified that determine which tasks require scheduling or rescheduling and which tasks should remain unchanged in their schedules. To evaluate the effectiveness of the algorithm, we solve several examples from the literature and analyze the results. The findings demonstrate the efficiency and efficacy of the proposed approach. The ability to accommodate new job arrivals and generate schedules with a minimized makespan highlights the practical relevance and benefits of the S-graph-based reactive scheduling method. Full article
(This article belongs to the Special Issue Recent Advances in Manufacturing and Circular Economy)
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