Topic
Advanced product quality planning
About: Advanced product quality planning is a research topic. Over the lifetime, 391 publications have been published within this topic receiving 5082 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: In this paper, an implementation structure of Industry 4.0, consisting of a multi-layered framework is described, and is shown how it can assist people in understanding and achieving the requirements of Industry 5.0.
718 citations
TL;DR: The paper draws the point that six sigma is not same as other quality initiatives such as TQM due to various misconceptions among many quality practitioners with these two philosophies.
Abstract: Purpose – This paper attempts to demonstrate the power of six sigma, a disciplined approach to improving product, process or service quality, in the service industry.Design/methodology/approach – The paper presents the basic features that characterize six sigma followed by a simple methodology for six sigma applied to service operations. The paper also illustrates a set of tools and techniques used within six sigma for service process performance improvement. Key success factors for the implementation of six sigma in service organisations and the factors for selection of winning projects are also addressed.Findings – The paper draws the point that six sigma is not same as other quality initiatives such as TQM due to various misconceptions among many quality practitioners with these two philosophies. There are also limitations of six sigma and these are outlined and discussed.Originality/value – Although six sigma has been successfully implemented in many manufacturing industries, its application in the se...
387 citations
TL;DR: In this article, the authors show that Open Innovation proves to be more adequate in the attempt to achieve a better R&D productivity for companies in the automotive industry than a closed innovation model.
Abstract: Automotive Original Equipment Manufacturers (OEM) have historically invested in their own research and development (R&D) to boost their innovativeness. Because of an increasing innovation and cost pressure, the automotive industry needs to look outside their own boundaries to escape from this productivity dilemma. While there is a tendency to look outside for external sources to increase the innovativeness, there are hardly any external paths to market outside the current business yet. Our study shows that Open Innovation proves to be more adequate in the attempt to achieve a better R&D productivity for companies in the automotive industry than a closed innovation model.
189 citations
03 May 2003
TL;DR: The automotive industry is one of the sectors which has been affected significantly by the industrial software revolution during the last few years, and competitive challenges are presented by a dramatic growth in system complexity, rising time and cost pressure, and high quality demands.
Abstract: The automotive industry is one of the sectors which has been affected significantly by the industrial software revolution during the last few years. Competitive challenges, which are of major relevance for the growing number of software-based automotive innovations, are presented by a dramatic growth in system complexity, rising time and cost pressure, and high quality demands. All these requirements lead to a number of software-related challenges which will be of significant competitive importance for the automotive industry in the future. Asides from the question of whether an automotive company decides to develop software in-house or whether this is carried out by suppliers, every automotive key player has to hold or to build up specific software competencies. The most important competence areas are the software development process, software quality management including supplier cooperation, the overall architecture of the in-vehicle software, as well as the ability to specify, to integrate and to test the system.
182 citations
TL;DR: In this paper, the authors present an overview of the short and mid-term planning landscape of car manufacturers in the German automotive industry and present challenges for future application of OR methods in the automotive industry.
Abstract: Following the evolution in the computer industry, quite a lot of car manufacturers currently intend to move from a built-to-stock oriented production of standardized cars towards a customized built-to-order (BTO) production. In the premium segment of Germany’s automotive industry, the share of customized BTO cars traditionally is comparatively high. Nevertheless, German car manufacturers have spent a lot of efforts in recent years to further increase this share in order to realize short delivery times, high delivery reliability and a fast responsiveness. Surprisingly, comprehensive overviews of the short- and mid-term planning landscape of car manufacturers cannot be found in the scientific literature. Thus, the first part of the paper discusses supply chain planning, as traditionally established in the premium segment of the German automotive industry, and reviews methods of Operations Research (OR) that are able to support the various planning tasks involved. In the second part, the major change in strategy, currently to be observed in the German automotive industry, is briefly summarized in order to derive its impacts for the planning system and for the respective planning methods. In this way, challenges for a future application of OR methods in the automotive industry can be identified.
161 citations