A framework for research inventory of manufacturing sustainability assessment

Lee, Ju‐Yeon; Lee, Y Tina

doi:10.6028/nist.ir.7959

Cited by 3 publications

(2 citation statements)

References 19 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Much of the technical literature on sustainable manufacturing focuses on those processes and systems that minimize environmental and social impacts while simultaneously maximizing economic benefits [21–26]. For example, Rachuri et al [22] argue that sustainable manufacturing can be viewed as a systems approach for the creation and distribution (supply chain) of innovative products and services that minimizes resources (e.g., materials, energy, water, and land); eliminates toxic substances; and produces zero waste across the entire life cycle of products and services.…”

Section: Performance Metrics For Smart Manufacturing Systemsmentioning

confidence: 99%

A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics

Lee

Kumaraguru

Jain

et al. 2017

Smart and Sustainable Manufacturing Systems

View full text Add to dashboard Cite

This paper proposes a classification scheme for performance metrics for smart manufacturing systems. The discussion focuses on three such metrics: agility, asset utilization, and sustainability. For each of these metrics, we discuss classification themes, which we then use to develop a generalized classification scheme. In addition to the themes, we discuss a conceptual model that may form the basis for the information necessary for performance evaluations. Finally, we present future challenges in developing robust, performance-measurement systems for real-time, data-intensive enterprises.

show abstract

Section: Performance Metrics For Smart Manufacturing Systemsmentioning

confidence: 99%

A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics

Lee

Kumaraguru

Jain

et al. 2017

Smart and Sustainable Manufacturing Systems

View full text Add to dashboard Cite

show abstract

“…6 In this sense, ‘sustainability in manufacturing means the targets and approach for measurement to meet the high level goals within a manufacturing company’. 7 The theme of sustainability in the context of mature manufacturing technology manifests itself in several different forms through the approach described here.…”

Section: Introductionmentioning

confidence: 99%

Three dimensions of maturity required to achieve future state, technology-enabled manufacturing supply chains

Ward

Halliday

Uflewska

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

This version is available at https://strathprints.strath.ac.uk/60978/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. between traditional academic research and industrial needs across a broad spectrum of manufacturing process technology. This is achieved through demonstrating manufacturing technology at full scale, in factory representative environments in terms of equipment, process control and operation. This provision helps to address the key gap of full scale pre-production capability demonstration and can be seen to de-risk investment in new manufacturing technology. This paper argues that addressing this particular gap is entirely necessary but not sufficient to drive exploitation of the full potential that is available from the latest manufacturing technologies. A three dimensional maturity based framework is proposed which, in addition to considerations of technology demonstration, also allows the position of the target product application in its product lifecycle, and the readiness of the supply chain to receive the technology to be taken into account as success factors in the potential for industrialisation. Case study examples, both current and historical, are used to illustrate the need for such an approach in achieving future technology enabled supply chains. In combination this analysis introduces the basis of a more complete 'long valley of death' description which articulates the needs of research networks to establish a level of foundational capability ahead of specific client readiness projects in order to maximise overall pace and achieve a level of agility of delivery which is consistent with future views on digitalisation of manufacture.

show abstract

The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment

Ramanujan

Bernstein

Diaz-Elsayed

et al. 2022

Journal of Manufacturing Science and Engineering

View full text Add to dashboard Cite

To understand the past successes and future opportunities for applying Industry 4.0 technologies toward manufacturing sustainability assessment, this state-of-the-art review examines previous literature at the intersection of these domains. Specifically, we focus on the application of Industry 4.0 technologies in the context of the following stages in manufacturing sustainability assessment: (i) planning, infrastructure development, and problem definition, (ii) performance measurement, (iii) results interpretation and decision-making, as well as (iv) intervention, control, and validation strategies. On the basis of the literature review, we present the trends, benefits, research gaps, and required future work for holistically integrating the research domains mentioned above. To accompany this literature review, we performed a meta-analysis of 14,498 articles and compared them to 316 articles compiled from a focused literature search. Based on database-controlled keywords, networks representing keyword co-occurrences were constructed to reveal clusters of related terms and evaluate overall term centrality (i.e., importance). Results from this analysis showed that the two datasets exhibited a similar network structure and also helped reveal Industry 4.0-related opportunities for manufacturing sustainability assessment. They include areas such as automation, robotics, and advanced inspection technologies, which are yet to be exploited in manufacturing sustainability assessment. Further research is needed to investigate whether the incorporation of such areas can (i) facilitate more robust and accessible assessments of manufacturing sustainability and (ii) make manufacturing systems themselves more sustainable.

show abstract

A framework for research inventory of manufacturing sustainability assessment

Cited by 3 publications

References 19 publications

A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics

A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics

Three dimensions of maturity required to achieve future state, technology-enabled manufacturing supply chains

The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment

Contact Info

Product

Resources

About