Industry 4.0: Manufacturing Planning and Control System Architectures
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 96
Special Issue Editors
Interests: Industry 4.0; scheduling; manufacturing planning and control (MPC); production architecture
Interests: integrated approaches; scheduling; Industry 4.0
Interests: industrial engineering; optimization; scheduling; operations research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of Industry 4.0 is reshaping manufacturing planning and control (MPC) in unprecedented ways. As smart technologies and supply chain integration rapidly transform production systems, traditional MPC methodologies are strained. Rigid frameworks like material requirement planning (MRP) cannot enable the real-time synchronization, decentralized control, and optimization needed in Industry 4.0's complex ecosystems. This lag underscores the urgent need to re-engineer MPC for interconnected, customizable manufacturing.
In the context of volatile marketplaces characterized by the prevalence of customized products, legacy MPC focused on cost efficiency falls short. The shift toward mass customization demands flexibility that static architectures cannot provide. As supply chain boundaries blur, siloed MPC systems fail to leverage real-time data sharing and collaboration. Organizations must therefore innovate MPC to balance work in progress with agility while managing emerging risks like cybersecurity across integrated landscapes.
This Special Issue explores innovations in MPC to meet Industry 4.0’s evolving challenges. Contributions should examine forward-looking MPC frameworks, technologies, and models that enhance efficiency, sustainability, and resilience across manufacturing and supply chains. Topics may include:
- MPC architectures leveraging Internet of Things (IoT), artificial intelligence (AI), and cloud computing;
- Decentralized control systems and synchronization strategies;
- MPC and supply chain integration for real-time and data-driven collaboration;
- Data analytics for decision support systems in manufacturing;
- Sustainable manufacturing methodologies;
- Cybersecurity and data governance;
- Feasibility of manufacturing/supply chain as a service;
- Human-centered manufacturing.
By bridging theory and practice, this Special Issue aims to publish discourse on MPC innovation for the future of integrated planning and control. Insights from academia and industry can help shape MPC to unlock Industry 4.0’s myriad of possibilities.
Dr. Silvestro Vespoli
Prof. Dr. Guido Guizzi
Dr. Daniel A. Rossit
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. Applied Sciences 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
- manufacturing planning and control (MPC)
- Industry 4.0
- manufacturing-as-a-service (MaaS)
- decentralized systems
