Design and manufacturing is the essential element in any product development lifecycle. Industry vendors and users have been seeking a common language to be used for the entire product development lifecycle that can describe design, manufacturing and other data pertaining to the product. Many solutions were proposed, the most successful being the Stadndard for Exchange of Product model (STEP). STEP provides a mechanism that is capable of describing product data, independent from any particular system. The nature of this description makes it suitable not only for neutral file exchange, but also as a basis for implementing, sharing and archiving product databases. ISO 10303-AP203 is the first and perhaps the most successful AP developed to exchange design data between different CAD systems. Going from geometric data (as in AP203) to features (as in AP224) represents an important step towards having the right type of data in a STEP-based CAD/CAM system. Of particular significance is the publication of STEP-NC, as an extension of STEP to NC, utilising feature-based concepts for CNC machining purposes. The aim of this book is to provide a snapshot of the recent research outcomes and implementation cases in the field of design and manufacturing where STEP is used as the primary data representation protocol. The 20 chapters are contributed by authors from most of the top research teams in the world. These research teams are based in national research institutes, industries as well as universities.

Dimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems. The information exchange between the software components of a dimensional metrology system not only costs a great deal of money, but also causes the entire system to lose data integrity. Information Modeling for Interoperable Dimensional Metrology analyzes interoperability issues in dimensional metrology systems and describes information modeling techniques. It discusses new approaches and data models for solving interoperability problems, as well as introducing process activities, existing and emerging data models, and the key technologies of dimensional metrology systems. Written for researchers in industry and academia, as well as advanced undergraduate and postgraduate students, this book gives both an overview and an in-depth understanding of complete dimensional metrology systems. By covering in detail the theory and main content, techniques, and methods used in dimensional metrology systems, Information Modeling for Interoperable Dimensional Metrology enables readers to solve real-world dimensional measurement problems in modern dimensional metrology practices.

"This book presents basic principles of geometric modelling while featuring contemporary industrial case studies"--Provided by publisher.

Problem definition: Customers typically judge a service's waiting based on their perception, which is often longer than the actual waiting time. Thus, managing perceived waiting time is key for service providers and leads to various psychology-based approaches, including a rising star -- Virtual Queue (VQ). VQ allows customers to join a queue for services remotely through a mobile app or online portal and receive frequent updates about the remaining waiting time and queue position. In this research, we investigate the impact of VQ on customers' waiting complaints in two stages: the pre-process period (waiting before service) and the in-process period (waiting during service), and their overall satisfaction. Methodology: We use a text mining approach based on deep learning to extract waiting complaints in the two stages from over 0.72 million online customer reviews covering major U.S. casual dining chain restaurants from February 2015 to February 2019. Then we conduct difference-in-differences regressions facilitated by propensity score matching to estimate the impact of VQ on customer complaints in the two waiting stages and overall satisfaction. Results: We find that VQ reduces customers' pre-process waiting complaints and does not lead to positive spillover on in-process waiting complaints. VQ also enhances customers' overall satisfaction with the service. In addition, the impacts of VQ become effective from the first year of its implementation and remain unchanged afterward. We find that service providers who face high substitutability or offer low-value service are benefited most from VQ. Managerial implications: Our study encourages service providers to implement VQ for managing customers' perceived pre-process waiting time without fearing backfire on in-process waiting. VQ also helps service providers generate positive word-of-mouth through improved customers' overall satisfaction reflected online. Judging based on a service's substitutability and value, service providers can determine whether to implement VQ in their best interest.