Digitalization in the Carbon Area as a Means to Improve Productivity

Antti, Koulumies; Paul, M.; Maria, Becerra Ana; Lasse, Piechowiak

doi:10.1007/978-3-030-65396-5_123

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…[36], providing a comprehensive conceptualization of smart retrofitting definition and drivers, challengers. Brownfield development with retrofitting approach sometimes is arguably debated over greenfield investment, as they go through a similar framework in carbon area as a means for productivity improvement in the aluminum industry [37]. However, there is a lack of technical concerns due to the non-scalability of solutions between different manufacturing systems.…”

Section: A Background and Objectivesmentioning

confidence: 99%

“…The Just-In-Time (JIT) production can be facilitated to create a smoother production material flow and avoid excessive stock [87]. The more balanced, stable material flow can be supported by removing the production bottleneck as well, which is easier to be discovered by the retrofitted system [37], [63].…”

Section: Lean 40mentioning

confidence: 99%

“…Aluminium production [37], Fabric knitting [78], Textile [15], Metal casting [125], Gear production [63], Metal forming [69] TABLE 13. The possible advantages of Lean 4.0 in retrofitted system decision-making capability of workers, allowing them to take part in more knowledge tasks in sustainable manufacturing from human factor [87].…”

Section: Continuous Improvementmentioning

confidence: 99%

“…Textile [71], [97], Iron & Steel production [84], Aluminium production [37], Car assembly [75], Metal casting [125], Olive oil processing [95], Assembly line [77], Metal forming [58], Lab experiment [113] Maintenance activities optimization…”

Section: Fault Findingmentioning

confidence: 99%

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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

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The ongoing Industry 4.0 is characterized by the connectivity between components in the manufacturing system. For modern machines, the Internet of Things is a built-in function. In contrast, there are legacy machines in deployment functioning without digital communication. The need to connect them became popular to improve overall production efficiency. As building a new smart factory as a greenfield investment is a capital-intensive choice, retrofitting the existing infrastructure with IoT capability is more reasonable than replacing them. However, this so-called brownfield development, or retrofitting, requires specific prerequisites, e.g., digitization status assessment, technical and connectivity development, management requirement, and operational need, representing a significant disadvantage: lack of scalability. In the meantime, Industry 5.0 is under human-centric priority, which poses new challenges to the retrofitted system. Aware of the challenge, this paper provides a systematic overview of brownfield development regarding technical difficulties, supporting technologies, and possible applications for the legacy system. The research scope focuses on available Industry 4.0 advancements but considers preparing for the forthcoming Industry 5.0. The proposed retrofitting project approach can be a guideline for manufacturers to transform their factories into intelligent spaces with minimal cost and effort but still gain the most applicable solution for management needs. The future direction for other research in brownfield development for Industry 5.0 is also discussed.

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Section: A Background and Objectivesmentioning

confidence: 99%

Section: Lean 40mentioning

confidence: 99%

Section: Continuous Improvementmentioning

confidence: 99%

Section: Fault Findingmentioning

confidence: 99%

See 2 more Smart Citations

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

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Anode Rod Tracking: A New Marking Method for Optimized Implementation

Côté¹,

Gagné²,

St-Pierre³

2022

Light Metals 2022

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Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production

Reinpold,

Wagner,

Gehlhoff

et al. 2024

J Intell Manuf

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To achieve a highly agile and flexible production, a transformational shift is envisioned whereby industrial production systems evolve to be more decentralized, interconnected, and intelligent. Within this vision, production assets collaborate with each other, exhibiting a high degree of autonomy. Furthermore, information about individual production assets is accessible throughout their entire life-cycles. To realize this vision, the use of advanced information technology is required. Two commonly applied software paradigms in this context are Software Agents (referred to as Agents) and Digital Twins (DTs). This work presents a systematic comparison of Agents and DTs in industrial applications. The goal of the study is to determine the differences, similarities, and potential synergies between the two paradigms. The comparison is based on the purposes for which Agents and DTs are applied, the properties and capabilities exhibited by these software paradigms, and how they can be allocated within the Reference Architecture Model Industry 4.0. The comparison reveals that Agents are commonly employed in the collaborative planning and execution of production processes, while DTs are generally more applied to monitor production resources and process information. Although these observations imply characteristic sets of capabilities and properties for both Agents and DTs, a clear and definitive distinction between the two paradigms cannot be made. Instead, the analysis indicates that production assets utilizing a combination of Agents and DTs would demonstrate high degrees of intelligence, autonomy, sociability, and fidelity. To achieve this, further standardization is required, particularly in the field of DTs.

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Digitalization in the Carbon Area as a Means to Improve Productivity

Cited by 3 publications

References 9 publications

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Anode Rod Tracking: A New Marking Method for Optimized Implementation

Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production

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