Collaborative Learning in Automotive Ecosystems

The paper addresses a new system for collaborative vocational training of employees within industrial networks. The system should enable the industrial companies' employees, especially in SMEs, to collaborate time and cost-effectively on different training issues. The system includes a collaborative platform built following the Collaborative Reference Architecture for advanced service platforms for Collaborative Working Environments (CWE).

IFIP Advances in Information and Communication Technology, 2010

Automotive suppliers are moving from supply-chain process design to dynamic socioeconomic networking when speeding up innovation cycles to improve their competitiveness. In this way cross-organizational learning processes are triggered. Enabling team formation for collaboratively developing innovative products and services requires interoperability on several levels and in different flavors. Our empirical evidence from the European research project SUddEN (SMEs Undertaking Design of Dynamic Ecosystem Networks) reveals the need for context-sensitive learning support when starting to share and handle business opportunities in a collaborative way. The proposed support system enables partner-and network-specific emergence of situation-sensitive organizational behavior. In meeting user needs we have developed content structures and intertwined interaction features for accurate information exchange. Due to their scalability self-managed, highly structured learning processes are likely to replace prescriptive workflows in continuously changing settings.

Procedia CIRP, 2016

Today, manufacturing is moving towards customer-driven and knowledge-based proactive production. Shorter product life cycles lead to increased complexity in areas such as product and process design, factory deployment and production operations. To handle this complexity, new knowledge-based methods and technologies are needed to model, simulate, optimize and monitor manufacturing systems. Existing large Enterprise Information Systems (EIS) impose structured and predictable workflow, while processes "on the ground" are often unpredictable and involve a large number of human based decisions and collaboration. This is leading to a major shift on EIS paradigm and leading to development of a set of specialized small applications, each one with fewer features, but highly specialized, flexible, cross linked and easy to use. This paper presents a hybrid management solution intended to support collaboration and decision in the scope of automotive engineering and planning. The solution, labelled as HPM-Hybrid Process Manager, encompasses a set of tools for work, information and communication management fully integrated with knowledge based engineering processes. Its overall aim is to ease the flow of information between all the partners, making it more reliable and actual, allowing a closer control and faster reaction to upcoming events. The adoption of HPM approach proves to be quite effective and efficient, leading to significant results in terms of cost and time saving. When using the solution, managers no longer need to constantly ask for reporting, leading to a significant reduction on email and paperwork. It is relevant to underline that the proposed approach allowed planners to concentrate in important issues improving the product and avoid non-value added efforts and time on collateral activities. Another main advantage stays on the experience retrieval module built in top of the solution, allowing easy access to expertise, knowledge and best practices generated by previous projects, so that they can be readily incorporated in the design of new processes as a factor of knowledge sustainability.

ELIV 2021, 2021

Innovations in the automotive domain are a concern of the whole value-chain, from the OEM to the microelectronics and even materials. The planning of innovations and decisions on investments require a coordination along this value chain, i.e. a description which innovations are planned to be available at which date. In this paper we present an ecosystem for the creation of "automotive innovation roadmaps''. These innovation roadmaps target the horizon of 6-15 years and give an overview on the future availability of innovations and its performances including their uncertainty and dependencies. The analysis also consider the impact iof the availability and performances of subsystems in a way that is compliant with antitrust law. The ecosystem is demonstrated by a simple e-fuse system.

International Journal of Information Management, 2016

Today, manufacturing is moving towards customer-driven and knowledge-based proactive production. Shorter product life cycles lead to increased complexity in areas such as product and process design, factory deployment and production operations. To handle this complexity, new knowledge-based methods and technologies are needed to model, simulate, optimize and monitor manufacturing systems. Product lifecycle management research tends to focus on situations that are responsive to formal analysis and modelling. However, in several domains such as knowledge intensive collaborative environments, it's not possible to model processes using formal notations. Knowledge based and collaborative process management involves a combination of structured and non-structured processes. Structured processes management can be reduced to a set of fully-defined rules leading to high efficiency but also low flexibility, whereas the management of non-structured processes is not prone to a full formalization. A combination of both structured and unstructured management approaches is required in order to achieve a successful trade-off between efficiency, flexibility and controllability. We call a process as semi-structured when it contains both structured and non-structured sub-processes leading to a flexible and efficient hybrid approach. Large enterprise information systems, impose structured and predictable workflows, while knowledge based collaborative processes are unpredictable to some extent, involving high amount of human-decision. Moreover, large enterprise information systems are not able to manage the daily ad hoc communication inherent to the knowledge-based process itself. This paper introduces a set of concepts, methods and tools of an innovative Hybrid Process Management approach validated by a real world business case in the automotive industry.

IFAC Proceedings Volumes, 2006

Enterprises in the automotive industry are facing new challenges from increasing product diversification, decreasing product life cycle times and permanent need for cost reduction. The ramp-up as linking phase between development phase and production phase has a crucial role for the success of a project. The performance of a ramp-up depends on the maturity of the product and manufacturing processes. Knowledge management is an extraordinary driver for maturity of both product and manufacturing process. The existing solutions for knowledge management show insufficient results. The new approach bases on the cycle of organizational learning. The cycle consists of four phases: socialization, externalization, combination and internalization. The cycle of organizational learning is also known as SECI cycle. It provides opportunities to improve ramp-up performance in the automotive industry. Part of the new approach is a sophisticated concept for a solution using Information Technology as enabler for Knowledge management. 1.2 Ramp-up The generic life cycle of products in the automotive industry comprises the development phase and the serial production phase. As shown in figure 1

Computer Science and Information Systems

In large organizations, it is not trivial to spread knowledge to all teams. Often, individual teams need to handle similar topics and re-invent the wheel. Another scenario is that a group of people with a common role (for example ?guild? in Spotify model) has to distill their practices to make them shareable. Trainings should have empower participants so to apply the learnings easily in their daily businesses. To realize this, the proposed Self-Service Kit (SSK) approach can be used in the context of a holistic methodology that fosters team autonomy while leveraging knowledge spread and sharing throughout a large organization. Such a methodology is presented and instantiated in an enterprise context in facing the mentioned challenges.

Knowledge management system (KMS) is one of the most critical weapon to transform knowledge resources in organization into intellectual capital for competitive advantage. However, learning organizations (LO) still have difficulties in identifying an appropriate KMS architecture framework and KMS technologies for their organizations. There is also no clear mechanism on how to motivate and encourage a community of practice (CoP) to share and reuse knowledge, as well as to generate new knowledge in a collaborative environment. Therefore, this research aims to overcome these problems by developing a KMS model and architecture that would ensure the right knowledge could be acquired from and disseminated to the right people at the right time. A survey to a group of CoP was conducted to identify requirements as a basis for setting up a KMS model. The KMS model was used to develop a KMS architecture. The KMS architecture consists of an application layer, a technology layer, an infrastructure layer and a repository layer. This architecture was tested by developing a KMS prototype for a research and development CoP in a Public Higher Learning Institution (PHLI) LO. The system was developed by integrating Lotus Notes Script and JavaScript, which ran over an Intranet and Internet infrastructure. Agent technology was used in the system for profiling, notification, alert and monitoring. Another questionnaire survey was conducted after the KMS prototype implementation to verify the functionality of the system in facilitating knowledge sharing in a collaborative environment. The findings from both questionnaire surveys were compared to identify the effectiveness of KMS implementation in creating a collaborative environment for knowledge sharing, re-use and creation in a CoP. The study found that the use of agent technology in a KMS supports the creation of a collaborative environment in a CoP.

2020

Collaboration among partners to form a value network has become necessary as sharing of information at all levels from among physical units on the shop floor to connect with external business processes is so critical for being competitive in a market. Therefore, a course on Collaborative Manufacturing Systems has been recently developed to build students' competence in this aspect. Presented in this paper is how this course has been developed according to the learning experience-focused course design and development process (LEF-CDD). Bloom's Taxonomy, Kolb's experiential learning cycle, and the LOVE learning experience have been utilized for identifying learning outcomes, for planning learning activities for ease of learning, and for the selection of teaching and learning methods for offering a diversified learning experience along their learning journey respectively. Based on the design, the students will actively learn from class discussion, laboratory works, and a te...

Automotive industry has become one of the leading markets which introduces cutting-edge technologies in order to meet the requirements of different clients. This paper presents an e-learning approach developed in the automotive industry in order to address the demands of teaching AUTOSAR standard. The focus of this paper is to illustrate the used methodology, results, but also faced issues and learned lessons. Developing this solution has offered insights into how to approach such a task. These results are valuable for the further expansion of the project, but also for future researchers who might encounter a challenge of developing e-learning solutions for this kind of companies. The offered guidelines are structured from the point of view of management, development and testing teams. In order to establish how suitable the proposed solution is for different categories of prospective employees, the Carl Jung's and Isabel Briggs Myers' typology test was being conducted with relevant results on how the e-learning solution is perceived by future users.