Search results

The demand for contracts on assets availability has increased. Recently published papers show that the use of asset health monitoring technologies is being encouraged to improve the asset performance. This is based on reason rather than analysis. This paper aims to understand and assess the effect of different types of business processes for maintenance resource levels on the behaviour of the maintenance operations and asset availability located at different customer locations using different asset monitoring levels.

A discrete event simulation (DES) model was developed to mimic complex maintenance operations with different monitoring levels (reactive, diagnostics, and prognostics). The model was created to understand and assess the influence of resources (labour and spare parts) on a particular maintenance operation. The model was created to represent different levels of asset monitoring to be applied in a case study. Subsequently, different levels of spare parts (ranging from deficient inventory to a plentiful spares inventory) and labour were applied to show the effects of those resources on the asset availability.

This research has found that the DES was able to discern different processes for asset monitoring levels in complex maintenance operations. It also provided numerical evidence about applying such asset monitoring levels and proved that the higher asset monitoring level does not always guarantee higher asset availability.

The developed model is a unique model that can provide the decision makers of maintenance operations with numerical evidence to select an appropriate asset monitoring level based on their particular maintenance operations.

A novel DES model was developed to support maintenance operations decision makers in selecting the appropriate asset monitoring level for their particular operations. This unique approach provides numerical evidence rather than reasoning, and also proves that the higher asset monitoring level does not always guarantee higher asset availability.

The purpose of this paper is to identify the contextual factors affecting infrastructure reporting by New Zealand local authorities.

The paper includes a survey and interview of Annual Report Recipients (ARRs) and Infrastructure Information Preparers (IIPs), together with an assessment of the extent of infrastructure information disclosure in the annual reports of New Zealand local authorities.

This study finds that contrary to the expectations of Lüder’s contingency model (1992), there is an information dissemination gap between the perceptions of ARRs and IIPs regarding infrastructure information reporting in the annual reports of New Zealand local authorities. This finding is consistent with decades of concern about the application of private sector Generally Accepted Accounting Principles to the public sector and the Controller and Auditor General’s (CAG, 2009) concern about the inadequacy of private sector General Purpose Financial Reports in meeting public sector accountability. On the other hand, the study reports that the perceptions of the two groups, ARRs and IIPs, are similar with regard to the importance of infrastructure information items, which is consistent with the expectations of Lüder’s model.

The paper contributes towards theoretical development by adopting Lüder’s (1992) contingency model in the context of infrastructure reporting by New Zealand local authorities and proposing a model of contextual factors by extending Lüder’s model. The practical contribution of the study is in the area of accounting practice and public policy.

The purpose of this paper is to identify theories from manufacturing which can be applied to alleviate current issues within contact centre organisations. As contact centres currently adopt a mass production approach to customer service, this paper aims to examine the key issues currently facing contact centres and investigate how manufacturing has overcome some of its issues with the mass production approach.

The research employs a qualitative case study approach using a cross section of different types of contact centre to identify the current issues with contact centres. Interview and direct observation are the chosen methods for data collection and the data are analysed using a series of deductive and emergent codes.

From empirically investigating the issues that contact centres are currently facing it would imply that they have the same issues as manufacturing historically faced. Therefore, it can be concluded that if manufacturing can develop from an industry founded on scientific management principles, then so can the contact centre industry.

The findings of this paper provide a useful starting point to discuss the ability of theories developed in manufacturing to be adapted into the contact centre context. This paper is a starting point for further work into the applicability of manufacturing theories into the contact centre environment and as such it is deliberately discussed at a high level of abstraction.

Many of the techniques employed in contact centres originate from manufacturing's past but little of the research focuses on how contact centres can learn from manufacturing's future therefore this paper has practical implications in identifying which concepts can be transferred from manufacturing to contact centres.

The value of this paper is that it looks to the future of contact centre operations and discusses which techniques can be transferred from manufacturing to alleviate some of the current issues with contact centres.

Asset management has recently gained significance due to emerging business models such as Product Service Systems where the sale of asset use, rather than the sale of the asset itself, is applied. This leaves the responsibility of the maintenance tasks to fall on the shoulders of the manufacturer/supplier to provide high asset availability. The use of asset monitoring assists in providing high availability but the level of monitoring and maintenance needs to be assessed for cost effectiveness. There is a lack of available tools and understanding of their value in assessing monitoring levels. The paper aims to discuss these issues.

This research aims to develop a dynamic modelling approach using Discrete Event Simulation (DES) to assess such maintenance systems in order to provide a better understanding of the behaviour of complex maintenance operations. Interviews were conducted and literature was analysed to gather modelling requirements. Generic models were created, followed by simulation models, to examine how maintenance operation systems behave regarding different levels of asset monitoring.

This research indicates that DES discerns varying levels of complexity of maintenance operations but that more sophisticated asset monitoring levels will not necessarily result in a higher asset performance. The paper shows that it is possible to assess the impact of monitoring levels as well as make other changes to system operation that may be more or less effective.

The proposed tool supports the maintenance operations decision makers to select the appropriate asset monitoring level that suits their operational needs.

A novel DES approach was developed to assess asset monitoring levels for maintenance operations. In applying this quantitative approach, it was demonstrated that higher asset monitoring levels do not necessarily result in higher asset availability. The work provides a means of evaluating the constraints in the system that an asset is part of rather than focusing on the asset in isolation.

The transfer of technical know‐how is now recognised as an essential component in the globalised expansion of multinational companies. As these companies offshore or outsource their operations the success of the new facility can depend on the ability to convey both tacit and explicit knowledge willingly during all phases of the transfer. There is a lack of clarity in current literature on the success factors for effective transfer of knowledge on production parts transfer and an absence of frameworks. The purpose of the research reported in this paper is to examine documented success factors and propose an integrated framework.

Peer reviewed literature was used to establish dominant themes on knowledge‐sharing from which interview and survey were designed and undertaken to establish motivating factors.

Five key themes required for successful knowledge transfer were established for moving parts to new production facilities: willingness to share information, willingness to receive information, explicit knowledge transfer, tacit knowledge transfer and verification. These were then assembled into a transfer of technical intellect framework for knowledge transfer to new facilities.

The research draws from the experience of practitioners across multiple parts transfers rather than examining a specific transfer. This work brings research not previously brought together. It draws from the literature and a significant survey of a large multi‐site engineering company and future work needs to be carried out to examine the generalisability of the work.

The proposed framework guides the tacit as well as explicit transfer of technical knowledge of production parts between facilities.

The research identifies the key themes and motivating factors for transferring tacit product knowledge to another organisation.

This paper shares the conclusions of the authors with respect to a comparison of Beer’s viable systems model (VSM) and modern business process thinking. These conclusions have been arrived at as a result of extensive empirical research over the past five years. Modern business process thinking and the VSM provides the foundations for a viable business structure which maximises opportunities for managing agility. The paper provides a brief background to the research and explains VSM and modern business process thinking. It then goes on to demonstrate how VSM and modern business process thinking combine to provide a powerful structure for planning and managing today’s modern organisation in an uncertain and dynamic environment. In developing the theorythe paper also provides empirical evidence to support and demonstrate the application of the theory. The paper concludes with a summary of key messages and lessons learned.

The purpose of this paper is to examine the impacts of the politicisation of women academics body in higher education as a result of the implementation of audit culture of new public management.

The research was conducted in Indonesian universities, by conducting interviews to collect data from 20 women academics from two universities in eastern regions of Indonesia.

The impacts of audit culture on women academics’ body in this study can be understood from the constraints told by them, reflected on the creation of several types of bodies.

This paper, though, has some limitations in terms of the inclusion of only women academics, exclusion of male academics and of their limitations of addressing important constructs to elaborate the politicisation of the women body, such as culture, religion, patriarchy, and academic tribes and territories.

The results of this study are important for the policy maker of Indonesia to take into account “gender perspective” on research productivity and publication policy to effectively obtain the political objectives of the government. For higher education in Indonesia, the result of this study may give an indication of the importance to establish different and distinctive standards of work performance evaluation on research and publication for female and male academics.

The analysis of this issue is framed within the bipolar diagram of power that seeks to gain political-economic function of the body (bio-power), via a set of control mechanisms of sovereign power to regulate and manipulate the population (bio-politics), developed by Foucault (1984).