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The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

The puropse of this paper is to explore the extent to which principles of lean product development are applied to product design and engineering at automotive companies in South Africa (SA). Survey, interview and observational data form the basis for an adaptation of Toyota’s lean product development system (LPDS) (Morgan and Liker, 2006) to the South African automotive product engineering context.

All seven automotive manufacturers then operating in SA (including Toyota) were investigated, together with sample of those suppliers carrying out product engineering and/or design locally. A questionnaire based on the LPDS, and follow-up interviews were used to ascertain the extent to which lean principles informed product engineering, and identify areas where there was scope for improvement.

The survey established that while SA automotive companies have a strong manufacturing focus there is very limited local product design and development (PD&D), as this tends to be carried out centrally for multinationals. However, global product designs require modifications to suit local conditions and many decisions about manufacturability are taken locally. This broad area of design-related activity will be termed product engineering. The study found considerable scope for increasing the extent to which aspects of product engineering were influenced by lean thinking. An adapted version of the LPDS is proposed to aid lean thinking in product engineering in this context.

This study provides information on the application of lean thinking in product engineering, an area that has attracted far less attention than manufacturing and PD&D. Furthermore it addresses a significant sector of an important emerging economy, and contributes a practitioner perspective to what is predominantly a theoretical literature.

A wave of technological change in the first decades of the twenty-first century is prefiguring a fundamental restructuring of society. Key among the driving forces behind such change are powerful technologies with the potential to exert major transformations on a range of human activities and, crucially, to do so without direct human intervention. The technologies collectively referred to as Artificial Intelligence, or AI represent a productive lens through which to investigate two interrelated transformations: the emergence of self-driving cars and the coming shifts in education. This is in particular because AI’s versatility has led it to be directly applied (and increasingly valued) both in new automated driving technologies, and in the development of new forms of instruction. From the educational perspective, this means that the same technologies that are transforming workforce conditions are also reshaping – directly and indirectly – the approaches, objectives, and experiences of students and educational institutions. This chapter lays out how these twin transformations are likely to play out in the case of the automotive industry and the educational pathways of two occupations closely associated with it: automotive engineers and repair technicians. Two key arguments underpin this examination. First, educational programs for these two occupations, (and beyond) should be broadened to develop versatility and adaptability through tools and perspectives that allow people to move vertically within organizations and laterally across industries in the face of rapid technological change. Second, these educational programs must explicitly tackle AI and the coming technological revolution from a variety of dimensions that connect technical skills acquisition with the context on how these technologies are incorporated in society, how they are governed, and what are the various responses to them. This will allow students and professionals to navigate a rapidly changing labor landscape better while endowing them with the vocabulary to actively participate in the debates that shape its construction.

Application of the engineering design optimization methods and tools to the design of automotive body‐in‐white (BIW) structural components made of polymer metal hybrid (PMH) materials is considered. Specifically, the use of topology optimization in identifying the optimal initial designs and the use of size and shape optimization techniques in defining the final designs is discussed. The optimization analyses employed were required to account for the fact that the BIW structural PMH component in question may be subjected to different in‐service loads be designed for stiffness, strength or buckling resistance and that it must be manufacturable using conventional injection over‐molding. The paper demonstrates the use of various engineering tools, i.e. a CAD program to create the solid model of the PMH component, a meshing program to ensure mesh matching across the polymer/metal interfaces, a linear‐static analysis based topology optimization tool to generate an initial design, a nonlinear statics‐based size and shape optimization program to obtained the final design and a mold‐filling simulation tool to validate manufacturability of the PMH component.

The intention of this paper is to propose a methodology for interactions between the two quality tools of quality function deployment (QFD) and failure mode effects analysis (FMEA), and place an emphasis on their common features. The paper will also emphasise the value that both tools have when used throughout the product development cycle. An example of the method described will be highlighted within Ford Motor Company that will demonstrate the quality and resource benefits achievable when these two tools are used in conjunction with one another. This example will illustrate how, through the use of crossfunctional and multidisciplined teamwork, QFD and FMEA can be linked into systems engineering and a quality operating system with far‐reaching benefits.

Mechatronics is a very important area of research in industrial applications. The purpose of this study is to find some of the most important components of the literature on this subject.

The analysis is based on the use of the database Compendex; it was searched in the broadest way for documents related to mechatronics. In addition, subject guides from libraries of universities with mechatronics programs were studied to find resources available in those areas.

The literature of mechatronics is extensive and multidisciplinary. Based on the results from Compendex, the following data were found: most productive authors, list of leading journals and conference proceedings, publishers and grant organizations, authors’ affiliations and other minor details. Based on the analysis of subject guides, the following types of resources were found: research databases, reference books and ebook collections.

Part of the analysis is based on a search performed in one technical database, Compendex; it was the database that generated the largest number of citations as compared to Inspec and the Web of Science. The results have a strong English language focus. It is possible that by using the results from multiple data bases, some additional sources could be obtained.

Mechatronics is a relatively new technological field comprising a number of scientific and engineering areas. The results obtained summarized a significant amount of bibliographic information.

The work is original; to the best of the authors’ knowledge, no other study has analyzed the literature on this subject.

This paper deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. However, the differentiation of product development among a number of firms also implies that various dependencies need to be dealt with across firm boundaries. How dependencies may be dealt with across firms is related to how product development is organized. The purpose of the paper is to explore dependencies and how interactive product development may be organized with regard to these dependencies.

The analytical framework is based on the industrial network approach, and deals with the development of products in terms of adaptation and combination of heterogeneous resources. There are dependencies between resources, that is, they are embedded, implying that no resource can be developed in isolation. The characteristics of and dependencies related to four main categories of resources (products, production facilities, business units and business relationships) provide a basis for analyzing the organizing of interactive product development.

Three in-depth case studies are used to explore the organizing of interactive product development with regard to dependencies. The first two cases are based on the development of the electrical system and the seats for Volvo’s large car platform (P2), performed in interaction with Delphi and Lear respectively. The third case is based on the interaction between Scania and Dayco/DFC Tech for the development of various pipes and hoses for a new truck model.

The analysis is focused on what different dependencies the firms considered and dealt with, and how product development was organized with regard to these dependencies. It is concluded that there is a complex and dynamic pattern of dependencies that reaches far beyond the developed product as well as beyond individual business units. To deal with these dependencies, development may be organized in teams where several business units are represented. This enables interaction between different business units’ resource collections, which is important for resource adaptation as well as for innovation. The delimiting and relating functions of the team boundary are elaborated upon and it is argued that also teams may be regarded as actors. It is also concluded that a modular product structure may entail a modular organization with regard to the teams, though, interaction between business units and teams is needed. A strong connection between the technical structure and the organizational structure is identified and it is concluded that policies regarding the technical structure (e.g. concerning “carry-over”) cannot be separated from the management of the organizational structure (e.g. the supplier structure). The organizing of product development is in itself a complex and dynamic task that needs to be subject to interaction between business units.

This paper seeks to investigate the use of engineering conference papers by examining where the papers presented at the Stapp Car Crash Conference from 1980‐2005 were subsequently cited. Also, to examine whether the references were made to the conference paper or to the individual, the SAE Technical Paper, the second publication method. It also aims to study whether the citations were made to the lead author or secondary authors.

The individual papers were searched in Science Citation Index on the Web of Science platform using the “Cited author” search and the appropriate work(s) were selected using the “Cited work” information. The number of citations to each paper was recorded and the bibliographic information from the citing articles for the “top cited” articles were retrieved and examined to determine the subject focus of the citing journals.

Almost two‐thirds of the papers from the Stapp Car Crash Conference were cited at least once, mirroring that of engineering journal articles. These citations appear in journals representing a wide variety of disciplines besides engineering including journals covering “clinical neurology”, “orthopedics”, “rehabilitation” and “surgery”. The majority of citations (92 per cent) were found to be to the lead author and approximately 85 per cent were cited as papers within the conference proceedings with the remaining papers cited as individual technical papers.

The results on the impact and use of engineering conference papers, especially the results in terms of author and material type, will provide valuable insight into this literature, providing librarians and researchers with a better understanding of their use in the advancement of research and scholarship.

THERE have been rapid developments in the evolution of engineering thermoplastics for use by the automobile industry. One of the most recent, which provides a wide spectrum of properties for the automotive industry, is the result of a technical breakthrough in thermoplastic polyethylene terephthalate (PETP) polyester resins for engineering applications.