Combining Process Based Monitoring with Multi-layer Stream Mapping

Fisseler, Daniela; Schneider, Alexander; Lourenço, E.J.; Baptista, A. Poiares

doi:10.1007/978-3-319-57078-5_53

“…A practical example of the advantages derived by this approach is understanding, benchmarking and improving the full chain of metal casting processes [5]. Another approach is combining multi-layer stream mapping with near-real-time monitoring [6] or with eco-efficiency methods [7,8] to create a decision making framework.…”

Section: Decision Making Metrics In Manufacturing Systemsmentioning

confidence: 99%

“…Other useful time-related metrics are the production schedule of the plant as well as its volume of production over a certain amount of time. The productivity of individual machines can be assessed on the basis of reliability considering the following quantities [4]: [13];  Mean Time To Repair (MTTR) [13];  failure rates λ defined as the number of fails over a specific amount of time;  the magnitude of reliability = − (where t is time); Moreover, lean-thinking related metrics, like lead time, cycle time, work-inprocess and others, are particularly fit to describe productivity both of individual machines and the overall performance [6][7][8]. Also reliability or availability KPIs can be combined to assess the production rate of the entire plant starting from the values of single machines.…”

Section: Conventional Metricsmentioning

confidence: 99%

Metal Casting Energy Efficient Metrics for Material Selection of Automotive Parts

Pagone

¹

,

Papanikolaou

²

,

Salonitis

³

et al. 2018

Sustainable Design and Manufacturing 2018

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The automotive sector is one of the main end-use markets for metal casting worldwide. The strong competitive pressure typical of this industry have been influenced in the recent years by sustainability as a new factor promoted by legislation, increased societal awareness of relevant instances and resource scarcity. Energy efficiency, although only a part of sustainability, is important for the metal casting practice because of its nature of large consumer of energy per unit product. Therefore, the effective use of appropriate energy efficient metrics in foundries is of great interest. In this work, a set of indicators developed by the authors (and derived by traditional metrics) to analyse the energy performance of foundries will be used to compare high pressure die casting processes producing car transfer cases with different suitable materials. On the basis of this analysis, it will be shown that the most energy efficient material can be identified whereas the traditional metrics cannot detect such opportunity.

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Towards Industry 4.0

Lezak

¹

,

Ferrera

²

,

Rossini

³

et al. 2019

Technological Developments in Industry 4.0 for Business Applications

0

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An overview of the work under development within the EU-funded collaborative project MAESTRI is presented in this chapter. The project provides a framework of new Industrial methodology, integrating several tools and methods, to help industries facing the fourth industrial revolution. This concept, called the MAESTRI Total Efficiency Framework (MTEF), aims to advance the sustainability of manufacturing and process industries by providing a management system in the form of a flexible and scalable platform and methodology. The MTEF is based on four pillars: a) an effective management system targeted at continuous process improvement; b) Efficiency assessment tools to support improvements, optimization strategies and decision-making support; c) Industrial Symbiosis paradigm to gain value from waste and energy exchange; d) an Internet-of-Things infrastructure to support easy integration and data exchange among shop-floor, business systems and MAESTRI tools.

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Towards Industry 4.0

Lezak

¹

,

Ferrera

²

,

Rossini

³

et al. 2021

Research Anthology on Cross-Industry Challenges of Industry 4.0

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An overview of the work under development within the EU-funded collaborative project MAESTRI is presented in this chapter. The project provides a framework of new Industrial methodology, integrating several tools and methods, to help industries facing the fourth industrial revolution. This concept, called the MAESTRI Total Efficiency Framework (MTEF), aims to advance the sustainability of manufacturing and process industries by providing a management system in the form of a flexible and scalable platform and methodology. The MTEF is based on four pillars: a) an effective management system targeted at continuous process improvement; b) Efficiency assessment tools to support improvements, optimization strategies and decision-making support; c) Industrial Symbiosis paradigm to gain value from waste and energy exchange; d) an Internet-of-Things infrastructure to support easy integration and data exchange among shop-floor, business systems and MAESTRI tools.

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Combining Process Based Monitoring with Multi-layer Stream Mapping

Cited by 3 publications

References 6 publications

Metal Casting Energy Efficient Metrics for Material Selection of Automotive Parts

Metal Casting Energy Efficient Metrics for Material Selection of Automotive Parts

Towards Industry 4.0

Towards Industry 4.0

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