In this paper, we consider how rich sources of information on consumer choice can help to identify demand parameters in a widely-used class of differentiated products demand models. Most importantly, we show how to use “second-choice” data on automotive purchases to obtain good estimates of substitution patterns in the automobile industry. We use our estimates to make out-of-sample predictions ...

In recent years, the management issue in the Japanese automobile industry playing a key role in Japanese manufacturing is “worldwide uniform quality and simultaneous production launch,” in response to current globalization. In this corporate management environment, the “key to success in global production” is the reinforcement of product power, or the “simultaneous achievement of QCD.” In order...

This paper focuses on how changes in the economic and regulatory environment have affected production costs and product characteristics in the automobile industry. We estimate "hedonic cost functions" that relate product-level costs to their characteristics. Then we examine how this cost surface has changed over time and how these changes relate to changes in gas prices and in emission standard...

Companies in automobile Industry are facing a competitive challenge to improve and optimize on quality of components used in an automobile. Quality of paint on a vehicle is an important factor which impacts the overall quality of the product. In the last few years, processes, equipments and machinery have experienced fast technological changes, thus demanding even more specific tools to control...

In this paper we propose an Intelligent Management System which is capable of managing the automobile functions using the rigorous real-time principles and a multicore processor in order to realize higher efficiency and safety for the vehicle. It depicts how various automobile functionalities can be fine grained and treated to fit in real time concepts. It also shows how the modern multicore pr...

The study focuses on the impact of COVID-19 situation automobile industry in India, its sales during pandemic and Market share Automobile industries this situation. This used secondary data collected from various related websites like ministry IBEF (India Brand Equity Foundation), Ministry Heavy Industry Public Enterprises Health Family Welfare, Government India. suggests to take some initiativ...

Multi-criteria decision analysis (MCDA) has been one of the fastest-growing areas of operations research during the last decades. The academic attention devoted to MCDA motivated the development of a great variety of approaches and methods within the field. These methods distinguish themselves in terms of procedures, theoretical assumptions and type of decision addressed. This diversity poses c...

Some property and casualty insurers use automated detection systems to help to decide whether or not to investigate claims suspected of fraud. Claim screening systems benefit from the coded experience of previously investigated claims. The embedded detection models typically consist of scoring devices relating fraud indicators to some measure of suspicion of fraud. In practice these scoring mod...

Section I will present a brief historical overview of the U.S. auto industry since the 1960s. Section II will discuss the theoretical arguments behind each of the four employment influencing areas mentioned earlier. The empirical model based on this theoretical discussion will be presented in Section III, with the results being given in Section IV. Finally, Section V will draw some conclusions ...