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Creation of new products from existing solutions (product re‐design) shortens new product introduction phases and reduces costs. The product re‐engineering process is a new approach to the realisation of substitute components without the benefit of original design process documentation or any other documentation relating to the component. Re‐engineering comprises stages which are potentially applicable to many industries. This research applies an enterprise modelling architecture to modelling the re‐engineering process, producing descriptions of the process from several different descriptive views, namely function, information, resource and organisation. This results in a more complete description of the process, in which the model itself may be used as a reference for the implementation of a re‐design process in a particular company. This research also shows how the information modelling constructs of CIMOSA can be used to meet the particular unique requirements of the process of re‐design.

Electro‐magnetic stirrers, applied to the mold of a continuous caster, induces electromagnetic forces that influence the steel flow pattern modifying the casting parameters. The steel quality has been highly improved by the application of this magneto‐hydro‐dynamic (MHD) technique. Anyway, the complexity of the MHD interaction made difficult the complete comprehension of the factors that contribute to eliminate the defects due to the inclusions in the cast products. The optimization of the MHD techniques is still the object of a large research effort, which utilizes both experimental activity and numerical simulation. In this paper, the numerical simulation of the 2D flow pattern of the molten steel in a mold for billets has been done. The attention is focused on the gradient of the velocity of the molten steel near the wall and on the effects that the gradient change determines on the inclusions, which are present in the metallic pool. Actually the increase of the velocity gradient corresponds to the increase of the forces that can clean the solidifying shell from the inclusions.

The purpose of this paper is to assess how the emergent theme of Industry 4.0 is considered in the context of supply chain management (SCM) and to identify important areas for future research.

A systematic literature review of 334 studies is carried out. The papers have been analyzed by having a focus on the unit of analysis, research methods used, the key themes covered and how the debate has evolved over a period of time.

Findings of the study reveal that scholars have so far focused on principles and practices for digitized SCM, identified enablers and barriers, and considered the Industry 4.0 at various levels, particularly at the firm level. Majority of studies focus on manufacturing from the perspective of the focal firm.

Limitation of this study is its unit of analysis where only peer-reviewed journal and conference articles published in the English language have been considered.

This review identifies the important themes and areas for practitioners to consider vis-à-vis the implementation of Industry 4.0 standards in supply chains. The review provides insights into under-researched areas and highlights the need for future researchers to develop more practical models for guiding the implementation of Industry 4.0.

This paper is one among the few studies that assess the Industry 4.0 implementation in the context of SCM and provides insights and implications for further research.

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period starting from 1998 to 2009.

To explore the articles related to NPD, four key words namely new product, product design, product development and product innovation were used in combination of title or abstract or keyword of the articles through several knowledge databases. The abstracts of journal papers were read and a decision as to whether article belongs to any NPD research issue or not was made. In total, 1,127 research articles were categorized systematically and then analyzed on various principal NPD information groups.

Analysis of selected articles led to a certain level of dispersion in the publication of NPD research in different journals. It is found that more attention needs to be on knowledge and creativity management, communication and information transfer in any NPD process.

By observing extended literature from authors reviewing articles from various journals, growth in research, and variety of topics covered in NPD, a broad systematic multi journal review of NPD literature is clearly overdue. The authors have developed a comprehensive listing of publications on NPD where they have classified the surveyed papers according to various principal NPD information groups like: published year, NPD research stream, type of organization studied (industrial/consumer/service), level of innovation (high/moderate/low), NPD focus on frameworks, performance perspective (success, failure or both), NPD research design (conceptual/empirical and qualitative/quantitative) and NPD relevant best practice element. Based on the classification scheme, the issues were analyzed from the system's perspective and their implications to NPD research.

This study reports on a survey of experienced emergency management personnel in Australia and New Zealand to identify the influence of organisational features in perceived emergency management performance. The purpose of this paper is to analyse the influence of organisational features in emergency response performance and to discuss how this knowledge can be used to enhance the response capacity of emergency services organisations.

Based on a review of the literature, a conceptual theoretical model for organisational performance is first developed based on four organisational features found to be previously important in emergency management organisation. These are, adaptability, leadership, stability (mission and direction) and stakeholder communication. An organisational survey was distributed to all 25 fire and emergency services agencies in Australia and New Zealand which included indicators of these elements. Responses were received from experienced emergency management personnel from fire and emergency services agencies. The sample was stratified into the three main organisational types, namely, established, expanding and extending organisations.

The findings reveal that the predictive significance of organisational features in emergency response performance vary among established, expanding and extending organisations. The predictive significance of stability, adaptability and leadership for perceived success is strong in all organisational types. It is interesting to note that the predictive significance of communication with external stakeholders is low in all organisation types. This indicates the preference of emergency services agencies to look internally within their own operations than externally to build relationships with different specialism.

The theoretical model in this study makes a first attempt to understand the role of organisational features in emergency response performance of organisations in Australia and New Zealand. This work contributes to theorizing emergency operations by highlighting how organisations need to manage two orientations simultaneously: their own internal as well as external orientations, together with their processes for managing both mission and direction and the need for change and flexibility.

Constant changes in the environment seem to have become the biggest challenge of a modern enterprise, which emphasizes the constant need to integrate the enterprise into its changing environment. Aiming at eliminating the integration challenges, EA is proposed as a solution. The purpose of this paper is to survey and analyse the available literature on determining the role of EA in EI and also to identify gaps and state-of-the-art in research.

This paper presents a systematic mapping study that found 50 papers in the intersection of EA and EI, these papers were surveyed, analysed, and classified with respect to research focus, research method, and paper type.

Based on the analyses of the final 50 articles, the authors realized that “EA framework” is the dominating research focus of these studies. “Evaluation research” is recognized as the most common paper type in this area. However, “Experience paper” was a rare paper type in this research domain. “Constructive research” and “Case study/multiple case studies” are widely applied as the research method. “Survey”, “Delphi study” and “Grounded theory” are the least employed research methods. The conclusion was that there is a need for empirical research in this area. After analysing the articles based on their publication year, the authors also noticed a significant growth between 2004 and 2010. After 2010 the number of publications had a downward trend.

To the knowledge of the authors, this study is the first systematic literature study regarding the role of EA in EI. There are several systematic literature reviews about the EA or EI separately but none of them has addressed the specific realm of the research. Hence, the goal of this study is to provide a map of existing literature to enable improvement of the practice with the known research results and to identify gaps for future research.

The paper examines a financial service innovation process, which is referred to as financial product innovation: improvements to existing services. This study conducts a critical analysis of the operational process of opening a Lloyds TSB Student Account at a local branch.

The process of opening a student bank account is documented in a flowchart/flow network, which highlights operational steps and the visibility line between front‐end and backroom staff. This process mapping technique/flowchart allows for the diagnosis and identification of both potential and actual bottlenecks in the existing process, which prevented a quality service encounter for the customer. After outlining these problematic areas/non‐value added activities, the adopted qualitative triangulated methodological approach yields a redesigned flowchart illustrating these changes. Furthermore, this paper proposes a re‐engineered process (i.e. e‐process or virtual process), which removes these bottlenecks systematically.

The results show the increased efficiency, productivity and customer satisfaction levels that are the key to innovation process performance. The study concludes with evidence of non‐financial performance results of this type of financial service innovation.

The study does not quantify the performance of e‐process operations, and it does not examine customer concerns related to complexity, trust security and safety issues. However, it provides useful managerial recommendations for improving the process of opening a student account. Numerous key learning points and invaluable insights gathered during this project are practical contributions both to managers involved in innovation process and researchers interested in this domain.

This paper provides a re‐engineered process which is simpler, more economical and faster than the original process. It presents principles to diagnose appropriate service operation processes for re‐engineering using action mapping programmes and review their innovation performances. Managers will learn new frameworks, diagnostic tools and analysis techniques to better understand and improve their firm's service operations. This study is designed to give service innovation managers and e‐marketers instantaneous and continuous improvement in the quality of their e‐service designs.

One of its contributions lies in increasing the ability of managers to improve their knowledge and skills for responding to the e‐service innovation process. It adds to the growing literature on the innovation process for financial services. While the study answers a number of salient questions, it also produces a stimulus for further investigation of service innovation through the provision of future research directions in this area.

A relevancy‐ranking algorithm for a natural language interface to Boolean online public access catalogs (OPACs) was formulated and compared with that currently used in a knowledge‐based search interface called the E‐Referencer, being developed by the authors. The algorithm makes use of seven well‐known ranking criteria: breadth of match, section weighting, proximity of query words, variant word forms (stemming), document frequency, term frequency and document length. The algorithm converts a natural language query into a series of increasingly broader Boolean search statements. In a small experiment with ten subjects in which the algorithm was simulated by hand, the algorithm obtained good results with a mean overall precision of 0.42 and mean average precision of 0.62, representing a 27 percent improvement in precision and 41 percent improvement in average precision compared to the E‐Referencer. The usefulness of each step in the algorithm was analyzed and suggestions are made for improving the algorithm.

This paper is concerned with the design and analysis of a bearingless motor.

The bearingless motor is obtained by a regular three-pole active magnetic bearing with an intentionally attached unbalanced mass on the rotor. It is the unbalanced mass that will generate the rotational torque for the motor function. Modeling and control of the unbalanced mass-type bearingless motor have been considered.

It is found through simulations that both functions of motor and magnetic bearing can indeed be achieved in this system.

This novel bearingless motor requires no additional windings and permanent magnets. Thus, it can greatly reduce the cost and design of the bearingless motor.

For repairable systems (RSs), reliability estimation is generally performed using virtual age models. Virtual age models consider the effect of maintenance actions by reducing system age using restoration factor (RF). RF is generally estimated from system failure data using various statistical methods. However, RSs such as railway systems experience various types of maintenance actions at different times during their life cycle. To consider all these different types of actions, we need multiple RFs in the virtual age model. As failure data are limited, the estimation of so many parameters becomes a complex problem and it can lead to erroneous inferences. These RFs are representative of effects of maintenance activities on the system. Therefore, these can be predicted from the information about the maintenance actions performed on the system. The paper aims to discuss these issues.

The paper considers different types of maintenance actions to predict RF of the system. These maintenance actions involve the replacement of components at some level of assembly. Each component in an assembly has its own impact on assembly restoration. RF for assembly/systems can be obtained by aggregating effects of multiple component replacement using analytical hierarchy process . The RF values obtained for different types of maintenance actions are then used to calculate the virtual age of the system at different failure points. Using these virtual age failure points, suitable distribution is fitted and parameters are estimated. The distribution and parameters provide information about reliability of the system at any point of time.

This paper provides an easier approach that gives different RFs for different types of PM and CM. To calculate RFs, it considers the impact of maintenance actions performed as well as the impact of the component on which they are performed. It is simpler and gives more consistent results than other approaches, which estimate RF using different statistical methods.

This paper provides an alternative approach to predict RF parameters instead of estimating these parameters using statistical methods. Estimation of parameters using different statistical methods is complex in nature and gives erroneous and inconsistent results. The approach given in this paper is simpler and gives more reliable results. This approach can be useful in estimating parameters for RSs when failure data are limited.