IT support for managing aircraft spares in a closed-loop supply chain

This paper reports on the development of elements of an e-supply chain management system for managing maintenance, repair and overhaul (MRO) relationships in the aerospace industry. A standard systems development methodology has been followed to produce a process model (i.e. the AMSCR model); an information model (i.e. business rules) and a computerised information management capability (i.e. automated optimisation). The proof of concept for this web-based MRO supply chain system has been established through the collaboration with a sample of the different types of supply chain members. The proven benefit is a reduction in the stock-holding costs for the whole supply chain whilst also minimising non-flying time of the aircraft that the supply chain supports. This type of system is now vital in an industry that has continuously decreasing profit margins, which in turn means pressure to reduce servicing times and increase the interval between maintenance actions.

Developments in contact lens measurement:a comparative study of industry standard geometric inspection and optical coherence tomography

Purpose: The aim of this study was to compare a developmental optical coherence tomography (OCT) based contact lens inspection instrument to a widely used geometric inspection instrument (Optimec JCF), to establish the capability of a market focused OCT system. Methods: Measurements of 27 soft spherical contact lenses were made using the Optimec JCF and a new OCT based instrument, the Optimec is830. Twelve of the lenses analysed were specially commissioned from a traditional hydrogel (Contamac GM Advance 49%) and 12 from a silicone hydrogel (Contamac Definitive 65), each set with a range of back optic zone radius (BOZR) and centre thickness (CT) values. Three commercial lenses were also measured; CooperVision MyDay (Stenfilcon A) in −10D, −3D and +6D powers. Two measurements of BOZR, CT and total diameter were made for each lens in temperature controlled saline on both instruments. Results: The results showed that the is830 and JCF measurements were comparable, but that the is830 had a better repeatability coefficient for BOZR (0.065 mm compared to 0.151 mm) and CT (0.008 mm compared to 0.027 mm). Both instruments had similar results for total diameter (0.041 mm compared to 0.044 mm). Conclusions: The OCT based instrument assessed in this study is able to match and improve on the JCF instrument for the measurement of total diameter, back optic zone radius and centre thickness for soft contact lenses in temperature controlled saline.

Surviving the global economic crisis in the automotive industry through sustainable supplier management

This chapter looks at how the current global economic crisis has impacted upon the global automotive industry from an operations and supply chain perspective. It presents an empirical and theoretical background to help long and short term planning for organisations experiencing adverse trading conditions. The empirical research study (conducted between 2004-07 primarily in Germany) revealed that organisations are able to make short term improvements to performance by reducing costs and making process and structural improvements, but in the long term the deeper rooted causes of the industry can in part only be dealt with by improving interfirm R&D collaborations based upon competencies rather than cost related issues. A new approach known as Collaborative Enterprise Governance is presented which supports the design and management of competitive sustainable enterprises; it consists of a data capture tool, a body of knowledge and a dynamic reference grid to show how many part-to-part company relationships can exist simultaneously to make up productprocess focused enterprises. Examples from the German automotive industry are given, impact upon the overall product development lifecycle and the implications for organisational strategists are discussed. © 2010 Nova Science Publishers, Inc. All rights reserved.

Green innovation management in the automotive industry

Online case studies. Managing Innovation is an established, bestselling text for MBA, MSc and advanced undergraduate courses on management of technology, innovation management and entrepreneurship. It is also used widely by managers in both the service and manufacturing sectors. Now in its fourth edition, Managing Innovation has been fully revised and updated based on extensive user feedback to incorporate the latest findings and techniques in innovation management. The authors have included a new and more explicit innovation model, which is used throughout the book and have introduced two new features – Research Notes and Views from the Front Line – to incorporate more real life case material into the book. The strong evidence–based and practical approach makes this a must–read for anyone studying or working within innovation. An extensive website accompanies this text at www.managing–innovation.com. Readers can browse an online database of audio and video clips, as well as case study material, interactive exercises and tools for innovation, whilst lecturers can find additional support material including instructor slides and teaching guides and tips. "Tidd and Bessant's text has become a standard for students and practitioners of innovation. They offer a lively account on innovation management full of interesting and new examples, but one that at the same is rigorously anchored in what we have learned over the last thirty years on how to manage that ultimate business challenge of renewing products, processes, and business models. Those who want to innovate must read this book." — Professor Arnoud De Meyer, Director, Judge Business School, University of Cambridge, UK "Innovation matters and this book by two leaders in the field which is clear and practical as well as rigorous should be essential reading for all seeking to study or to become involved in innovation." — Chris Voss, Professor of Operations and Technology Management, London Business School "...comprehensive and comprehensible compendium on the management of innovation. It is very well organized and very well presented. A pedagogic tool that will work at multiple levels for those wishing to gain deeper insights into some of the most challenging and important management issues of the day." — David J. Teece, Thomas W. Tusher Professor in Global Business, Haas School of Business, University of California, Berkeley, USA "Those of us who teach in the field of Innovation Management were delighted when the first edition of this book appeared 11 years ago. The field had long been in need of such a comprehensive and integrated empirically–based work. The fact that this is now the 4th edition is clear testimony to the value of its contribution. We are deeply indebted to the authors for their dedication and diligence in providing us with this updated and expanded volume." — Thomas J. Allen,Howard W. Johnson Professor of Management, MIT Sloan School of Management, USA.

The evolution of logistics service providers and the role of Internet-based applications in facilitating global operations

The need for global logistics services has increased dramatically and become extremely complex and dynamic as a result of a number of changes in manufacturing and in industrial production. In response, the logistics industry is changing in a variety of ways, including mergers to form integrated transportation service providers, outsourcing and increased use of information technology. The aim of this chapter is to provide an overview of the evolution and the most important trends in the logistics services provider (LSP) industry. Specific emphasis will be given to the role of Internet-based applications. Within this context, the chapter will also present the role of logistics e-marketplaces. In particular, based on the secondary research of currently existing logistics on-line marketplaces, an analysis and classification of them is provided with the aim of identifying service gaps. The analysis reveals that logistics electronic marketplaces, despite the increased range of services currently offered, still face limitations with reference to integrated customs links or translation services, which both reduce the efficiency of global operations.

The development and application of a coding and classification system for manufacturing industry

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

Local skirmishes in the contruction of (global) digital business communication technologies

This paper applies Latour’s 1992 translation map as a device to explore the development of and recent conflict between two data standards for the exchange of business information – EDIFACT and XBRL. Our research is focussed in France, where EDIFACT is well established and XBRL is just emerging. The alliances supporting both standards are local and global. The French/European EDIFACT is promulgated through the United Nations while a consortium of national jurisdictions and companies has coalesced around the US initiated XBRL International (XII). We suggest cultural differences pose a barrier to co-operation between the two networks. Competing data standards create the risk of switching costs. The different technical characteristics of the standards are identified as raising implications for regulators and users. A key concern is the lack of co-ordination of data standard production and the mechanisms regulatory agencies use to choose platforms for electronic data submission.

Topographic mappings and feed-forward neural networks

This thesis is a study of the generation of topographic mappings - dimension reducing transformations of data that preserve some element of geometric structure - with feed-forward neural networks. As an alternative to established methods, a transformational variant of Sammon's method is proposed, where the projection is effected by a radial basis function neural network. This approach is related to the statistical field of multidimensional scaling, and from that the concept of a 'subjective metric' is defined, which permits the exploitation of additional prior knowledge concerning the data in the mapping process. This then enables the generation of more appropriate feature spaces for the purposes of enhanced visualisation or subsequent classification. A comparison with established methods for feature extraction is given for data taken from the 1992 Research Assessment Exercise for higher educational institutions in the United Kingdom. This is a difficult high-dimensional dataset, and illustrates well the benefit of the new topographic technique. A generalisation of the proposed model is considered for implementation of the classical multidimensional scaling (¸mds}) routine. This is related to Oja's principal subspace neural network, whose learning rule is shown to descend the error surface of the proposed ¸mds model. Some of the technical issues concerning the design and training of topographic neural networks are investigated. It is shown that neural network models can be less sensitive to entrapment in the sub-optimal global minima that badly affect the standard Sammon algorithm, and tend to exhibit good generalisation as a result of implicit weight decay in the training process. It is further argued that for ideal structure retention, the network transformation should be perfectly smooth for all inter-data directions in input space. Finally, there is a critique of optimisation techniques for topographic mappings, and a new training algorithm is proposed. A convergence proof is given, and the method is shown to produce lower-error mappings more rapidly than previous algorithms.

Efficient training of RBF networks for classification.

Radial Basis Function networks with linear outputs are often used in regression problems because they can be substantially faster to train than Multi-layer Perceptrons. For classification problems, the use of linear outputs is less appropriate as the outputs are not guaranteed to represent probabilities. We show how RBFs with logistic and softmax outputs can be trained efficiently using the Fisher scoring algorithm. This approach can be used with any model which consists of a generalised linear output function applied to a model which is linear in its parameters. We compare this approach with standard non-linear optimisation algorithms on a number of datasets.

Efficient training of RBF networks for classification

Radial Basis Function networks with linear outputs are often used in regression problems because they can be substantially faster to train than Multi-layer Perceptrons. For classification problems, the use of linear outputs is less appropriate as the outputs are not guaranteed to represent probabilities. In this paper we show how RBFs with logistic and softmax outputs can be trained efficiently using algorithms derived from Generalised Linear Models. This approach is compared with standard non-linear optimisation algorithms on a number of datasets.

Brand equity and purchase intention in fashion industry:a cross-cultural study in Asia and Europe

This research is the leading brand for purchase of assets, and analyzing the factors based on brand asset components and the relationship between the brand and brand assets assets impact factors and purchase intent on uncovering the relationship between components and trademarks centered on South Korea and the United Kingdom, by comparing the asset management plan would generate. The study, information navigation product knowledge affects of constant (+), brand attitudes and knowledge of the brand loyalty and brand value to the constant trademark (+). Brand value and brand loyalty and purchase intent-(+) in the United Kingdom, on the other hand, of the impact that do not affect that.

Strategic group theory:review, examination and application in the UK pharmaceutical industry

Purpose – The purpose of this paper is to consider the current status of strategic group theory in the light of developments over the last three decades. and then to discuss the continuing value of the concept, both to strategic management research and practising managers. Design/methodology/approach – Critical review of the idea of strategic groups together with a practical strategic mapping illustration. Findings – Strategic group theory still provides a useful approach for management research, which allows a detailed appraisal and comparison of company strategies within an industry. Research limitations/ implications – Strategic group research would undoubtedly benefit from more directly comparable, industry-specific studies, with a more careful focus on variable selection and the statistical methods used for validation. Future studies should aim to build sets of industry specific variables that describe strategic choice within that industry. The statistical methods used to identify strategic groupings need to be robust to ensure that strategic groups are not solely an artefact of method. Practical implications – The paper looks specifically at an application of strategic group theory in the UK pharmaceutical industry. The practical benefits of strategic groups as a classification system and of strategic mapping as a strategy development and analysis tool are discussed. Originality/value – The review of strategic group theory alongside alternative taxonomies and application of the concept to the UK pharmaceutical industry.

The relationship between market share and information in a high-tech industry

The role of information in high-technology markets is critical (Dutta, Narasimhan and Rajiv 1999; Farrell and Saloner 1986; Weiss and Heide 1993). In these markets, the volatility and volume of information present managers and researchers with the considerable challenge of monitoring such information and examining how potential customers may respond to it. This article examines the effects of the type and volume of information on the market share of different technological standards in the Local Area Networks (LAN) industry. We identify three different types of information: technological, availability and adoption. Our empirical application suggests that all three types of information have significant effects on the market share of a technological standard, but their direction and magnitude differ. More specifically, technology-related information is negatively related to market share as it demonstrates that the underlying technology is immature and still evolving. Both availability and adoption-related information have a positive effect on market share, but the former is larger than the latter. We conclude that high-tech firms should emphasize the dissemination of information, especially availability-related, as part of their promotional strategy for a new technology. Otherwise, they may risk missing an opportunity to achieve a higher share and establish their market presence.