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Article
Publication date: 21 August 2007

J. Landa, I. Illarramendi, N. Kelling, M. Woydt, A. Skopp and M. Hartelt

This paper aims to focus on the potential for substituting molybdenum‐based piston ring coatings, which are recognized as “allrounder” by other candidate metallurgies. Another…

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Abstract

Purpose

This paper aims to focus on the potential for substituting molybdenum‐based piston ring coatings, which are recognized as “allrounder” by other candidate metallurgies. Another purpose is the tribological interaction of molybdenum‐based and new triboactive/reactive piston ring coatings with low SAP, polymer‐ and metal‐free as well as bionotox engine oils with high‐viscosity indices.

Design/methodology/approach

Substoichiometric titanium dioxide composed of the Magnéli‐types phases Ti4O7 (∼17 per cent), Ti5O9 (∼66 per cent), Ti6O11 (∼17 per cent) deposited by plasma spraying, a vacuum sprayed TiO1,93 and a plasma‐sprayed titanium‐molybdenum carbo‐nitride coated piston rings were compared to a state‐of‐the‐art molybdenum‐based piston ring. They were tribologically characterized by means of BAM and SRV tests lubed under mixed/boundary lubrication by factory fill engine oils, engine oils as blends of hydro‐carbons with esters as well as prototype engine oils based on esters and polyglycols.

Findings

Overall, the molybdenum‐ and titanium‐based ring coatings wore in the same order of magnitude. The ranking depends on the test used. The BAM test favours MKP81A (PL72) more, whereas the SRV methods favour the TinO2n−1 more. The different bionotox and low‐ash prototype engine oils with reduced additive contents displayed isoperformance regarding the tribological behaviour of common and triboreactive materials. They presented no visible weakness in wear resistance, coefficient of friction and extreme pressure properties.

Research limitations/implications

The next steps have to confirm functional properties by different engine and endurance tests.

Practical implications

Titanium‐based piston ring coatings are overall more attractive, as they are primarily refined from titania, which is cheap and not rated at stock exchanges, and they present at least an isoperformance when compared with molybdenum‐based ring coatings.

Originality/value

This supplier report displays the complete methodology in order to substitute molybdenum‐ by titanium‐based piston ring coatings as well as illuminating the beneficial interaction with alternative engine oils in existing engine architectures.

Details

Industrial Lubrication and Tribology, vol. 59 no. 5
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 9 August 2024

Pulok Ranjan Mohanta and Biswajit Mahanty

In this paper, a graph theory-based maturity model to comprehensively assess the Industry 4.0 maturity level by means of a multidimensional Industry 4.0 maturity score (MIMS) is…

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Abstract

Purpose

In this paper, a graph theory-based maturity model to comprehensively assess the Industry 4.0 maturity level by means of a multidimensional Industry 4.0 maturity score (MIMS) is proposed.

Design/methodology/approach

The proposed maturity assessment model is based on (1) the identification of the maturity dimensions and assessment parameters from existing literature and expert opinion and (2) the development of the assessment model based on graph theory and matrix-based approach. The illustrative application of the developed model in two case enterprises is also included.

Findings

The model is configured to include six dimensions having 30 constituent attributes. Unlike the case with many of the previously published models, the proposed model does not evaluate the progress in specific Industry 4.0 enabling technologies, rather the assessment parameters are associated with the functional areas.

Practical implications

While the configuration of the proposed model enables a comprehensive maturity assessment, it facilitates the identification of contextual dimensional attributes and assists the enterprises in developing the roadmap for Industry 4.0 implementation aligning to the diverse organizational strategies.

Originality/value

Distinctively, the proposed model apprehends the interdependency between the maturity assessment dimensions and their constituent attributes. Also, the maturity model incorporates the assessment of the maturity in the dimension of inbound and outbound integration. While these two dimensions are crucial in the Industry 4.0 ecosystem, to the best of our knowledge, these are not considered by any of the assessment models published so far.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 December 2023

Thomas Trabert, Luca Doerr and Claudia Lehmann

The organizational digital transformation (ODT) in companies presents small and medium-sized enterprises (SMEs) – who remain at the beginning of this transformation – with the…

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Abstract

Purpose

The organizational digital transformation (ODT) in companies presents small and medium-sized enterprises (SMEs) – who remain at the beginning of this transformation – with the challenge of offering digital services based on sensor technologies. Against this backdrop, the present paper identifies ways SMEs can enable digital servitization through sensor technology and defines the possible scope of the organizational transformation process.

Design/methodology/approach

Around 21 semi-structured interviews were conducted with experts from different hierarchical levels across the German manufacturing SME ecosystem. Using the Gioia methodology, fields of action were identified by focusing on influencing factors and opportunities for developing these digital services to offer them successfully in the future.

Findings

The complexity of existing sensor offerings must be mastered, and employees' (data) understanding of the technology has increased. Knowledge gaps, which mainly relate to technical and organizational capabilities, must be overcome. The potential of sensor technology was considered on an individual, technical and organizational level. To enable the successful implementation of service offerings based on sensor technology, all relevant stakeholders in the ecosystem must network to facilitate shared value creation. This requires standardized technical and procedural adaptations and is an essential prerequisite for data mining.

Originality/value

Based on this study, current problem areas were analyzed, and potentials that create opportunities for offering digital sensor services to manufacturing SMEs were identified. The identified influencing factors form a conceptual framework that supports SMEs' future development of such services in a structured manner.

Details

European Journal of Innovation Management, vol. 27 no. 9
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 29 November 2023

Premaratne Samaranayake, Krishnamurthy Ramanathan and Weerabahu Mudiyanselage Samanthi Kumari Weerabahu

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants…

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Abstract

Purpose

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants and associated sub-criteria based on inputs from industry experts.

Design/methodology/approach

The methodology involved two phases: (1) an MCDM approach for determining causal relationships among determinants and (2) empirical validation of findings from the first phase using industry experts' inputs.

Findings

It was found that while the choice of I4.0 technologies is important, organisational factors are also critical, as evidenced by the ranking of the “Strategy and Organisation” determinant as the highest rank prominent determinant. Also, the ranking of the sub-criteria within each determinant shows the importance of several organisational influencing and resulting sub-criteria.

Research limitations/implications

This research extends the existing literature on I4.0 by demonstrating the prioritisation of determinants and delineating causal relationships among them and associated sub-criteria as a basis for developing I4.0 adoption guidelines. This research is limited to the specific scope of determinants selected/considered and experts' inputs from the Sri Lankan manufacturing sector. Future studies could consider extending this research into a broader global manufacturing context.

Practical implications

Prioritisation and causal relationships of I4.0 readiness assessment determinants, supported with inputs from functional managers and industry experts, could be used to guide practitioners in developing guidelines for I4.0 adoption in a phased manner.

Originality/value

This research provides a re-evaluation and validation of a selected I4.0 readiness assessment framework from the perspectives of interdependencies and casual relationships among its determinants and sub-criteria, based on inputs from industry experts as a basis for developing guidelines for I4.0 adoption.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 18 April 2024

Prajakta Chandrakant Kandarkar and V. Ravi

Industry 4.0 has put forward a smart perspective on managing supply chain networks and their operations. The current manufacturing system is primarily data-driven. Industries are…

456

Abstract

Purpose

Industry 4.0 has put forward a smart perspective on managing supply chain networks and their operations. The current manufacturing system is primarily data-driven. Industries are deploying new emerging technologies in their operations to build a competitive edge in the business environment; however, the true potential of smart manufacturing has not yet been fully unveiled. This research aims to extensively analyse emerging technologies and their interconnection with smart manufacturing in developing smarter supply chains.

Design/methodology/approach

This research endeavours to establish a conceptual framework for a smart supply chain. A real case study on a smart factory is conducted to demonstrate the validity of this framework for building smarter supply chains. A comparative analysis is carried out between conventional and smart supply chains to ascertain the advantages of smart supply chains. In addition, a thorough investigation of the several factors needed to transition from smart to smarter supply chains is undertaken.

Findings

The integration of smart technology exemplifies the ability to improve the efficiency of supply chain operations. Research findings indicate that transitioning to a smart factory radically enhances productivity, quality assurance, data privacy and labour efficiency. The outcomes of this research will help academic and industrial sectors critically comprehend technological breakthroughs and their applications in smart supply chains.

Originality/value

This study highlights the implications of incorporating smart technologies into supply chain operations, specifically in smart purchasing, smart factory operations, smart warehousing and smart customer performance. A paradigm transition from conventional, smart to smarter supply chains offers a comprehensive perspective on the evolving dynamics in automation, optimisation and manufacturing technology domains, ultimately leading to the emergence of Industry 5.0.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 5
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 8 February 2008

Mathias Woydt, Bernard Criqui, Gérard Desplanches and Tom Linneman

The purpose of this paper is to underline the future need for OEMs to receive lowSAP, polymer‐ and metal‐free engine oils with high‐viscosity indices and to illuminate for other…

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Abstract

Purpose

The purpose of this paper is to underline the future need for OEMs to receive lowSAP, polymer‐ and metal‐free engine oils with high‐viscosity indices and to illuminate for other OEMs the technical feasibility for application of alternative engine oils based on esters or blends of hydrocarbons with esters or polyglycols.

Design/methodology/approach

The strategic goal depends technically on the use of intrinsic properties of alternative base fluids, thus substituing some additives, like anti‐wear, extreme pressure and viscosity index improvers. The prone wear resistance of novel triboactive/‐reactive materials enables higher portions of mixed/boundary lubrication generated by oils with a lower viscosity.

Findings

Overall, the different bionotox and low‐ash prototype engine oils with reduced additive contents displayed isoperformance regarding the tribological behaviour against cast iron and triboreactive materials. APS‐Tin−2Cr2O2n−1 displayed an overall wear resistance comparable with grey cast iron with high‐carbon content and liner wear reduction of one order of magnitude when mated with Mo‐based rings. Both tests confirmed the potential for substituing molybdenum‐based rings by APS‐Tin−2Cr2O2n−1. The most significant reduction in “system wear” down to “zero wear” was demonstrated by mating the APS‐Tin−2Cr2O2n−1 coated piston rings with smooth machined HVOF‐(Ti,Mo)(C,N) liner coatings.

Research limitations/implications

As lubricants are today not part of the core business of automotive OEMs, the next steps have to be proposed by the petrochemical suppliers. It is recalled here that some OEMs in their history developed and produced lubricants.

Practical implications

The customer will appreciate any increase in longevity resulting in reduced maintenance. The OEM now owns, under increased solicitations, now a future‐oriented tool box in order to respond to environmental and CAFÉ demands with reasonable cost management.

Originality/value

This OEM report displays the complete methodology in order to adopt alternative engine oils in existing engine architectures.

Details

Industrial Lubrication and Tribology, vol. 60 no. 1
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 28 July 2022

Xiaoyan Jiang, Sai Wang, Yong Liu, Bo Xia, Martin Skitmore, Madhav Nepal and Amir Naser Ghanbaripour

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a…

430

Abstract

Purpose

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge.

Design/methodology/approach

Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks.

Findings

The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management.

Research limitations/implications

The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented.

Practical implications

The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process.

Originality/value

The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.

Details

Construction Innovation , vol. 23 no. 5
Type: Research Article
ISSN: 1471-4175

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Article
Publication date: 26 April 2024

Mawloud Titah and Mohammed Abdelghani Bouchaala

This paper aims to establish an efficient maintenance management system tailored for healthcare facilities, recognizing the crucial role of medical equipment in providing timely…

203

Abstract

Purpose

This paper aims to establish an efficient maintenance management system tailored for healthcare facilities, recognizing the crucial role of medical equipment in providing timely and precise patient care.

Design/methodology/approach

The system is designed to function both as an information portal and a decision-support system. A knowledge-based approach is adopted centered on Semantic Web Technologies (SWTs), leveraging a customized ontology model for healthcare facilities’ knowledge capitalization. Semantic Web Rule Language (SWRL) is integrated to address decision-support aspects, including equipment criticality assessment, maintenance strategies selection and contracting policies assignment. Additionally, Semantic Query-enhanced Web Rule Language (SQWRL) is incorporated to streamline the retrieval of decision-support outcomes and other useful information from the system’s knowledge base. A real-life case study conducted at the University Hospital Center of Oran (Algeria) illustrates the applicability and effectiveness of the proposed approach.

Findings

Case study results reveal that 40% of processed equipment is highly critical, 40% is of medium criticality, and 20% is of negligible criticality. The system demonstrates significant efficacy in determining optimal maintenance strategies and contracting policies for the equipment, leveraging combined knowledge and data-driven inference. Overall, SWTs showcases substantial potential in addressing maintenance management challenges within healthcare facilities.

Originality/value

An innovative model for healthcare equipment maintenance management is introduced, incorporating ontology, SWRL and SQWRL, and providing efficient data integration, coordinated workflows and data-driven context-aware decisions, while maintaining optimal flexibility and cross-departmental interoperability, which gives it substantial potential for further development.

Details

Journal of Quality in Maintenance Engineering, vol. 30 no. 2
Type: Research Article
ISSN: 1355-2511

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Book part
Publication date: 25 June 2016

Melissa S. Baucus and Philip L. Cochran

Investigate how leaders of illegal organizations build and maintain positive reputations and how the deaths of these firms impact groups of external stakeholders.

Abstract

Purpose

Investigate how leaders of illegal organizations build and maintain positive reputations and how the deaths of these firms impact groups of external stakeholders.

Methodology/approach

We conduct a forensic analysis of nine firms in eight different countries by leaders who appeared to be highly successful corporate citizens but who turned out to be operating illegal Ponzi ventures.

Findings

These illegal firms built positive reputations by engaging in activities that enhanced perceptions of their firms’ perceived quality, gaining certifications and approvals from influential external individuals/organizations, engaging in philanthropic activities, and affiliating with high-status actors. Death of these nine firms had profoundly impacted external stakeholders resulting in investor devastation, a toxic environment of mistrust, damage to reputations of anyone affiliated with these illegal firms, and a major earthshake to the philanthropic community.

Research limitations/implications

Extends Rindova et al.’s (2005) research on how leaders use signals of quality and prominence to build reputations in the context of illegal organizations. Philanthropic activities are added as a reputation-building mechanism used by illegal organizations. The results draw attention to the need to examine how the death of illegal organizations affects a variety of external stakeholders, both individuals and organizations.

Practical implications

Leaders of illegal firms can be quite successful in building positive reputations and this success exacerbates the negative consequences that occur when the firms collapse.

Originality/value

Provides a qualitative study of reputation building and the extensive impact on stakeholders of the dissolution of illegal ventures.

Details

Dead Firms: Causes and Effects of Cross-border Corporate Insolvency
Type: Book
ISBN: 978-1-78635-313-9

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Article
Publication date: 6 April 2010

James Z. Wang, Farha Ali and Pradip K. Srimani

With the recent availability of large number of bioinformatics data sources, query from such databases and rigorous annotation of experimental results often use semantic…

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Abstract

Purpose

With the recent availability of large number of bioinformatics data sources, query from such databases and rigorous annotation of experimental results often use semantic frameworks in the form of an ontology. With the growing access to heterogeneous and independent data repositories, determining the semantic similarity or difference of two ontologies is critical in information retrieval, information integration and semantic web services. The purpose of this paper is to propose a new sense refinement algorithm to construct a refined sense set (RSS) for an ontology so that the senses (synonym words) in this refined sense set represent the semantic meanings of the terms used by this ontology.

Design/methodology/approach

A new concept of a semantic set is introduced that combines the refined sense set of ontology with the relationship edges connecting the terms in this ontology to represent the semantics of this ontology. With the semantic sets, measuring the semantic similarity or difference of two ontologies is simplified as comparing the commonality or difference of two sets.

Findings

The experimental studies show that the proposed method of measuring the semantic similarity or difference of two ontologies is efficient and accurate; comparisons with existing methods show the efficacy of using the new method.

Originality/value

The concepts introduced in this paper will improve automation of bioinformatics databases to serve queries based on heterogeneous ontologies.

Details

International Journal of Pervasive Computing and Communications, vol. 6 no. 1
Type: Research Article
ISSN: 1742-7371

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