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The apparel industry in high wage countries can only be competitive globally by rationalizing its production process with automation. A particular stress is to be laid on the handling. Up to now, the development of new features has concentrated on the sewing process itself. Due to this, the correct feeding of the textile material defines a challenge to be solved. For feeding the textiles, the exact compliance of position and orientation is of considerable importance. Difficulties lie in tracking the edge of the material due to its defects, e.g. outgoing threads. This paper describes a low‐cost infrared sensor system for contour tracking and detection of edge defects. Statistical analysis of the results obtained from 20 different fabrics is provided.

The purpose of this paper is to propose a three-staged approach to configuration change management that uses a combination of complexity analysis, data visualization, and algorithmic validation to assist in validating configuration changes.

In order to accomplish the above purpose, the authors conducted a review of existing configuration management practices. This was followed by an in-depth case study of the configuration management practices of a major automotive OEM. The primary means of data collection for the case study were interviews, ethnographic study, and document analysis. Based on the results of the case study, a set of support tools is proposed to assist in the configuration management process.

Through the case study, the authors identified that the OEM used a configuration management method that largely represented the rule-based reasoning methods identified in the literature review. In addition, many of the associated challenges are present, primarily, the difficulty in making changes to the rule system and evaluating the changes.

The primary limitation is that the case study was based on a single OEM. However, the results are in line with other practices identified in the literature review. Therefore, it is expected that the findings and recommendations should hold true in other applications.

A set of configuration management tools and associated requirements are identified and defined that could be used to assist companies in the automotive industry, and perhaps others, in managing their option changes as they continue to move towards full mass customization of products.

The proposed approach for configuration management has not been seen in any other organization. The value of this paper is in the effectiveness of the proposed approach in assisting in the configuration change management process.

This paper aims to discuss the barriers to successful business model innovation and derive implications for management on how to overcome each barrier, as many attempts to innovate a business model have failed.

The authors draw on their experience they gained in numerous business model innovation projects and identify barriers that occur along a cycle of business model innovation, the authors use case examples to describe the barriers and derive managerial implications.

Barriers to successful business model innovation are related to barriers of awareness, search, system, logic and culture. Very often, these barriers are not recognized as such. Overcoming those barriers has to do with openness, with opening, with networking, with affirmation (and mastering) of complexity and thinking and acting in a whole.

With this paper, the authors contribute to a better understanding of why many business model innovations fail, they identify and describe barriers to business model innovation and develop some recommendations for managers on how to overcome the barriers.

This paper aims to explain the dynamics of entrepreneurial decisions and actions (D&As) in the small and medium-sized enterprise (SME) growth process. The study focuses on the changing portfolio and relationship governance and captures these dynamics by using the concept of “enabling constraints” (ECs).

In-depth, long-term and multiple-case study method was adopted based on six high-growth SMEs. Pattern-matching and alternative template approach formed a basis for developing a research framework, further corroborated and advanced in the empirical study.

The research provides empirical evidence of ECs as entrepreneurial perceptions that both limit (constrain) the range of accessible options and facilitate (enable) new opportunities. This study’s results point to how owner-managers' judgments about growth motives and rationales constrain their choices and how they enable new directions, acknowledging the changing context.

This work contributes to the research on SME growth processes by specifying their dynamics in terms of a creative mutual causality. Here, D&As stem from entrepreneurs' perceptions that are affected by the context, with the latter also shaped by prior decisions and actions. This theoretical contribution has been synthesized in the form of a framework of ECs in the SME growth process with related propositions.

The creation of a new venture is at the heart of entrepreneurship and shares parallels with project-based organizing: embedded in an institutional context, founders have to assemble a team that works on specified tasks within a strict time constraint, while the new venture undergoes various transitions. The purpose of this paper is to explore parallels between both streams of research and an increasing projectification of entrepreneurship.

The study is based upon a case study of the Berlin start-up ecosystem including the analysis of interviews (n=52), secondary documents, and field observations.

The paper reveals that – shaped by their institutional context – patterns of project-like organizing have become pertinent to the new venture creation process. It identifies a set of facets from the entrepreneurial ecosystems – more specifically different types of organizational actors, their occupational backgrounds, and epistemic communities – that enable and constrain the process of new venture creation in a way that is typical for project-based organizing.

This study thus elaborates on how institutional settings enforce what has been called “projectification” in the process of new venture creation and discuss implications for start-up ecosystems.

The purpose of this paper is to develop an integrated approach for a green product cradle-to-cradle (C2C) fuzzy recycling production planning model.

This paper applies the failure mode and effects analysis technique and Taguchi experimental design method, develops a green product C2C performance evaluation system that considers the fuzzy impacts of environmental laws and regulations, green goodwill, and environmental efficiency of targeting countries, and decides both the optimal green production plan and estimated optimal life cycles.

This study compares the different degree of maturity in environmental regulations, and various recycling situations are simulated to demonstrate the successful applicability of the proposed model as well as the incentive policy for Taiwan, the USA and Bangladesh.

Previous studies failed both to develop a holistic recycling production plan which is able to consider both the optimal combination of recycled components used and final green products produced with the maximum total resultant sales profit and to consider the potential failure phenomenon of recycled components adopted in the final product. Furthermore, most prior studies ignored the influence of environmental law, goodwill of the product and the efficiency of recycling mechanism of the community.

The purpose of this paper is to present the architectural principles and the services of the D-NET software toolkit. D-NET is a framework where designers and developers find the tools for constructing and operating aggregative infrastructures (systems for aggregating data sources with heterogeneous data models and technologies) in a cost-effective way. Designers and developers can select from a variety of D-NET data management services, can configure them to handle data according to given data models, and can construct autonomic workflows to obtain personalized aggregative infrastructures.

The paper provides a definition of aggregative infrastructures, sketching architecture, and components, as inspired by real-case examples. It then describes the limits of current solutions, which find their lacks in the realization and maintenance costs of such complex software. Finally, it proposes D-NET as an optimal solution for designers and developers willing to realize aggregative infrastructures. The D-NET architecture and services are presented, drawing a parallel with the ones of aggregative infrastructures. Finally, real-cases of D-NET are presented, to show-case the statement above.

The D-NET software toolkit is a general-purpose service-oriented framework where designers can construct customized, robust, scalable, autonomic aggregative infrastructures in a cost-effective way. D-NET is today adopted by several EC projects, national consortia and communities to create customized infrastructures under diverse application domains, and other organizations are enquiring for or are experimenting its adoption. Its customizability and extendibility make D-NET a suitable candidate for creating aggregative infrastructures mediating between different scientific domains and therefore supporting multi-disciplinary research.

D-NET is the first general-purpose framework of this kind. Other solutions are available in the literature but focus on specific use-cases and therefore suffer from the limited re-use in different contexts. Due to its maturity, D-NET can also be used by third-party organizations, not necessarily involved in the software design and maintenance.