Technology transfer and Chinese government policy:opportunities and implications for business

State-owned enterprises in China have been given greater autonomy and responsibility, have freer access to foreign technology, and are being encouraged to form groups to gain from rationalization and integration. This article uses case studies to identify the key strategic issues that affect the commercial viability of foreign technology acquisition by state-owned enterprises within the context of enterprise reforms. All the case study enterprises used technology transfer to develop new or improved products. Technologies acquired as parts of subcontracting arrangements and well-established technologies to produce end-use products are easier to manage and operate profitably. However, the latter type of technology has been imported by numerous enterprises and has led to fierce competition and industy restructuring. Importing capital-intensive and complex technology to produce major components for products, such as cars, is more difficult and requires closer coordination with customers and suppliers.

A modelling strategy for vehicle dynamics using Pro/ENGINEER

Vehicle dynamics modelling can provide vehicle designers with vehicle performance data that can assist with the efficient development of more refined cars. However, such models are notoriously complicated requiring the user to have a considerable understanding of vehicle dynamics.

The genius of Erasmus Darwin

The Genius of Erasmus Darwin provides insight into the full extent of Erasmus Darwin's exceptional intellect. He is shown to be a major creative thinker and innovator, one of the minds behind the late eighteenth-century industrial revolution, and one of the first, if not the first, to perceive the living world (including humans) as part of a unified evolutionary scenario. The contributions here provide contextual understandings of Erasmus Darwin's thought, as well as studies of particular works and accounts of the later reception of his writings. In this way it is possible to see why the young Samuel Taylor Coleridge was moved to describe Darwin as 'the first literary character in Europe, and the most original-minded man'. Erasmus Darwin, Charles Darwin's grandfather, was one of the leading intellectuals of eighteenth-century England. He was a man with an extraordinary range of interests and activities: he was a doctor, biologist, inventor, poet, linguist, and botanist. He was also a founding member of the Lunar Society, an intellectual community that included such eminent men as James Watt and Josiah Wedgwood. Contents: Introduction; Setting the scene, Jonathan Powers; Prologue 'Catching up with Erasmus Darwin in the New Century', Desmond King-Hele. Section 1: Medicine: Physicians and physic in 17th and 18th century Lichfield, Dennis Gibbs; Dr Erasmus Darwin MD FRS (1731–1802): England's greatest physician?, Gordon Cook; William Pale (1743–1805) and James Parkinson (1755–1824): two peri-Erasmatic thinkers (and several others), Christopher Gardner-Thorpe; The vertiginous philosophers: Erasmus Darwin and William Charles Wells on vertigo, Nicholas Wade. Section 2: Biology: The Antipodes and Erasmus Darwin: the place of Erasmus Darwin in the heritage of Australian literature and biology, John Pearn; Erasmus Darwin on human reproductive generation: placing heredity within historical and Zoonomian contexts, Philip Wilson; All from fibres: Erasmus Darwin's evolutionary psychobiology, C.U.M. Smith; Two special doctors: Erasmus Darwin and Luigi Galvani, Rafaella Simili. Section 3: Education: But what about the women? The lunar society's attitude to women and science and to the education of girls, Jenny Uglow; The Derbyshire 'Darwinians': the persistence of Erasmus Darwin's influence on a British provincial literary and scientific community, c.1780–1850, Paul Elliot. Section 4: Technology: Designing better steering for carriages (and cars); with a glance at other inventions, Desmond King-Hele; Mama and papa: the ancestors of modern-day speech science, Philip Jackson; Negative and positive images: Erasmus Darwin, Tom Wedgwood and the origins of photography, Alan Barnes; Section 5: Environment: Erasmus Darwin's contributions to the geological sciences, Hugh Torrens; The air man, Desmond King-Hele; Erasmus Darwin, work and health, Tim Carter; Section 6: Literature: The progress of society: Darwin's early drafts for the temple of nature, Martin Priestman; The poet as pathologist: myth and medicine in Erasmus Darwin's epic poetry, Stuart Harris; 'Another and the same': nature and human beings in Erasmus Darwin's doctrines of love and imagination, Maurizio Valsania. Epilogue: 'One great slaughter-house the warring world': living in revolutionary times, David Knight; Coda: Midlands memorabilia, Nick Redman; Appendix: The Creation of the Erasmus Darwin Foundation and Erasmus Darwin House, Tony Barnard; Index.

An investigation into the use of knowledge representation in computer-integrated manufacturing

In a certain automobile factory, batch-painting of the body types in colours is controlled by an allocation system. This tries to balance production with orders, whilst making optimally-sized batches of colours. Sequences of cars entering painting cannot be optimised for easy selection of colour and batch size. `Over-production' is not allowed, in order to reduce buffer stocks of unsold vehicles. Paint quality is degraded by random effects. This thesis describes a toolkit which supports IKBS in an object-centred formalism. The intended domain of use for the toolkit is flexible manufacturing. A sizeable application program was developed, using the toolkit, to test the validity of the IKBS approach in solving the real manufacturing problem above, for which an existing conventional program was already being used. A detailed statistical analysis of the operating circumstances of the program was made to evaluate the likely need for the more flexible type of program for which the toolkit was intended. The IKBS program captures the many disparate and conflicting constraints in the scheduling knowledge and emulates the behaviour of the program installed in the factory. In the factory system, many possible, newly-discovered, heuristics would be awkward to represent and it would be impossible to make many new extensions. The representation scheme is capable of admitting changes to the knowledge, relying on the inherent encapsulating properties of object-centres programming to protect and isolate data. The object-centred scheme is supported by an enhancement of the `C' programming language and runs under BSD 4.2 UNIX. The structuring technique, using objects, provides a mechanism for separating control of expression of rule-based knowledge from the knowledge itself and allowing explicit `contexts', within which appropriate expression of knowledge can be done. Facilities are provided for acquisition of knowledge in a consistent manner.

A study in the reduction of efficiency of nitrogen oxide removal catalysts for automobiles

Automotive catalysts are the most effective short-term answer to air pollution from automobiles. Since strict control of exhaust emissions is, or will be,covered by legislation in most developed countries in the world, catalytic devices will be increasingly fitted to cars. There is consequently an urgent need for the development of catalysts that will not compete for scarce precious metal resources. A number of problems have already been identified in connection with base metal catalysts but quantitative investigations are lacking. The base metal reduction catalysts developed by Imperial Chemical Industries Limited, catalysts and Chemical Group, in collaboration with the Air Pollution Control Laboratory, B L Cars Limited for automotive emission control, are susceptible to de-activation by three major mechanisms. These are: physical loss of the wash-coat (a high surface area coating which supports the active species), aggregation of the active species and poisoning by fuel and engine oil additives. This thesis is especially concerned with the first two of these and attempts to indicate the relative magnitude .of their effect on the activity of. the catalysts. Aggregation of the active species or sintering, as it is loosely called, was studied by using impregnated granules to overcome effects due to the loss of the wash-coat. Samples were aged in a synthetic exhaust gas, free from poisons, and metal crystallite sizes were measured by scanning-electron microscopy. The increase in particle size was correlated with the loss in catalytic activity. In order to maintain a link with the real conditions of service a number of monolithic catalysts were tested in an engine-dynamometer and several previously tested endurance catalysts were examined. A mechanism is proposed for the break-up and subsequent 10s.5 of the wash-coat and suggestions for improved resistance to loss of the' coating and active species are proposed.

A study of the impact of lean on UK manufacturing organisations that view it as a philosophy

There were three principal research aims: primarily, Lean is and always should be regarded as a business model as depicted by Toyota who is dedicated towards finding better ways of producing cars; consequently an investigation of whether organisations embracing Lean as a philosophy were indeed more triumphant. An adapted balanced scorecard was used which embraced strategic, operation and indices focused towards the future prospects of an organisation. Secondly, it was obligatory to explicitly and precisely determine whether an organisation espoused Lean as a philosophy as opposed to another process or strategy. Thirdly, since Lean has to be envisaged as a never-ending journey; it was important to map out the Lean journey and to be able to categorize the juncture an organisation occupies at any particular phase of its overall implementation. This affords an opportunity to advise an organisation of specific requirements it needs to satisfy should it wish to embrace Lean as a philosophy. The methodological approach focused on the effective deployment of survey questionnaires in sixty-eight organisations and seven extensive case studies in manufacturing organisations of varying sizes. The CIMA organisational classification, the Puttick grid and the Product-Process matrix were used to analyse the range of organisations used in this investigation. Whilst there was a requirement to investigate whether Lean indeed equates to success, pertinent performance measurement was considered decisive; the DMP Model (Maltz et al., 2003) was modified to perform this role. An unremitting theme both in literature concerning the implementation of Lean and in the research evolves around the notion of corporate cultures. Its relevance is explored further within the analysis. In accepting the premise that Lean incorporates a journey, it was fundamental to identify the voyage. Prevalent frameworks are deficient in identifying the sustainability and ideological facets of Lean. Consequently, an extensive Lean audit was developed and piloted in twenty disparate organisations.

Wealth effects of mergers and acquisitions for US firms: using alternative pricing models

This empirical study employs a different methodology to examine the change in wealth associated with mergers and acquisitions (M&As) for US firms. Specifically, we employ the standard CAPM, the Fama-French three-factor model and the Carhart four-factor models within the OLS and GJR-GARCH estimation methods to test the behaviour of the cumulative abnormal returns (CARs). Whilst the standard CAPM captures the variability of stock returns with the overall market, the Fama-French factors capture the risk factors that are important to investors. Additionally, augmenting the Fama-French three-factor model with the Carhart momentum factor to generate the four-factor captures additional pricing elements that may affect stock returns. Traditionally, estimates of abnormal returns (ARs) in M&As situations rely on the standard OLS estimation method. However, the standard OLS will provide inefficient estimates of the ARs if the data contain ARCH and asymmetric effects. To minimise this problem of estimation efficiency we re-estimated the ARs using GJR-GARCH estimation method. We find that there is variation in the results both as regards the choice models and estimation methods. Besides these variations in the estimated models and the choice of estimation methods, we also tested whether the ARs are affected by the degree of liquidity of the stocks and the size of the firm. We document significant positive post-announcement cumulative ARs (CARs) for target firm shareholders under both the OLS and GJR-GARCH methods across all three methodologies. However, post-event CARs for acquiring firm shareholders were insignificant for both sets of estimation methods under the three methodologies. The GJR-GARCH method seems to generate larger CARs than those of the OLS method. Using both market capitalization and trading volume as a measure of liquidity and the size of the firm, we observed strong return continuations in the medium firms relative to small and large firms for target shareholders. We consistently observed market efficiency in small and large firm. This implies that target firms for small and large firms overreact to new information resulting in a more efficient market. For acquirer firms, our measure of liquidity captures strong return continuations for small firms under the OLS estimates for both CAPM and Fama-French three-factor models, whilst under the GJR-GARCH estimates only for Carhart model. Post-announcement bootstrapping simulated CARs confirmed our earlier results.

Too old to choose? The effects of age and age related constructs on consumer decision making

Ageing of societies is a major challenge to academic research as well as to management. The unstoppable trend of an aging society in most western societies offers opportunities and challenges at the same time. This paper sheds light on the impact of age as well as age-related constructs on relevant consumer attitudes and behavior. More precisely, the empirical study, conducted in the market for cars, examining the relationships between four distinct age constructs and assesses the impact of these age constructs on information gathering, a consumer’s evoked set, and on rand loyalty.

Green technologies in the automotive industry

In most of the discussions about environmental issues and policies, transportation is highlighted as one of the main sources of pollutant emissions and energy consumption. The attention given to the automotive industry is understandable in this context due to its size, expansion, presence in our daily lives, and of course its environmental impact. If we scrutinize the “greenness” of car manufacturers we will find issues of concern from the raw material use, production processes, use, and end-of-life of vehicles. The main issues for production are high consumption of energy, raw materials, water and the waste stream, which contains the four substances of concern (cadmium, lead, hexavalent chromium, mercury). In respect of carbon emissions and energy use the use of cars is the main phase of its life-cycle due to the combination of internal combustion engines with fossil fuels. The most recent pressure is aimed at the end-of-life vehicles (ELV). In addition to the pollution from vehicle use, traffic jams and car accidents continue to be part of the downside of a car culture. Landfills sites are becoming scarce and the contamination of soil and aquifers completes the picture.

8 steps for managing green innovation in the automotive industry

The car is dead, long live the car! We are about to celebrate 100 years of Ford model T, the most iconic symbol of the popularisation of cars as the means of personal mobility. The automotive industry is going through an incredible journey of redefining its purpose and the traditional characteristics of its products. More than ever, car manufacturers will need to develop and effectively implement a meaningful green innovation strategy if they want to survive in the new automotive era.

The greening of a luxury car manufacturer

Within the context of sustainability in operations management the aim of this paper is to investigate the environmental initiatives and decisions of a British manufacturer of luxury cars. Through case study research, our investigation sheds light on why and how the company is taking environmental decisions for manufacturing, the origin of ideas for environmental improvement, and how they are measuring environmental performance. The knowledge contributions are in the field of sustainability in operations management, mostly related to environmental decision making.

Challenges and opportunities for reverse logistics initiatives in the automotive industry

This paper investigates the main strategies automotive companies adopt to address the issue of dealing with end-of-life vehicles and spare parts. Furthermore, it investigates the reasons behind take-back strategies, i.e how and why automotive companies undertake initiatives in reverse logistics. The research findings indicate that companies are trying to respond to the end-of-life legislation based on cost-effective approaches as well as corporate environmental responsibility. Outsourcing is used when expertise is found to extract value from scrap and there is cooperation with suppliers and vendors to facilitate the dismantling of cars and recycling of parts.

A road safety performance indicator for vehicle fleet compatibility

This paper discusses the development and the application of a safety performance indicator which measures the intrinsic safety of a country's vehicle fleet related to fleet composition. The indicator takes into account both the ‘relative severity’ of individual collisions between different vehicle types, and the share of those vehicle types within a country's fleet. The relative severity is a measure for the personal damage that can be expected from a collision between two vehicles of any type, relative to that of a collision between passenger cars. It is shown how this number can be calculated using vehicle mass only. A sensitivity analysis is performed to study the dependence of the indicator on parameter values and basic assumptions made. The indicator is easy to apply and satisfies the requirements for appropriate safety performance indicators. It was developed in such a way that it specifically scores the intrinsic safety of a fleet due to its composition, without being influenced by other factors, like helmet wearing. For the sake of simplicity, and since the required data is available throughout Europe, the indicator was applied to the relative share of three of the main vehicle types: passenger cars, heavy goods vehicles and motorcycles. Using the vehicle fleet data from 13 EU Member States and Norway, the indicator was used to rank the countries’ safety performance. The UK was found to perform best in terms of its fleet composition (value is 1.07), while Greece has the worst performance with the highest indicator value (1.41).

Taking the carbon out of the car

Effective measures are being taken to reduce emissions from cars, which are now emerging as a major contributor to climate change. Developed countries will need to reduce emissions by at least 80% by 2050 to achieve stabilization of atmospheric CO2 concentration between 450 and 550 ppm, and have a unique opportunity to avoid the most damaging effects of climate change. The UK is aiming at completely decarbonising transport by 2050 through a combination of more efficient vehicles, cleaner fuels, and smart driving choices. The European Commission has proposed a mandatory CO2 target on new car CO 2 efficiency, which is an urgent needed development. The nation is also using regulatory targets for local schemes, such as free parking or congestion charging, break points for company car tax, and vehicle excise duty. Car ownership and use should thereby continue to drive economic growth and enhance quality of life around the world without destroying the planet.

Intellect Sensing of Neural Network that Trained to Classify Complex Signals

An experimental comparison of information features used by neural network is performed. The sensing method was used. Suboptimal classifier agreeable to the gaussian model of the training data was used as a probe. Neural nets with architectures of perceptron and feedforward net with one hidden layer were used. The experiments were carried out with spatial ultrasonic data, which are used for car’s passenger safety system neural controller learning. In this paper we show that a neural network doesn’t fully make use of gaussian components, which are first two moment coefficients of probability distribution. On the contrary, the network can find more complicated regularities inside data vectors and thus shows better results than suboptimal classifier. The parallel connection of suboptimal classifier improves work of modular neural network whereas its connection to the network input improves the specialization effect during training.