Between Internationalisation and Proximity: the internationalisation process of automotive first tier suppliers

The paper analyses the strategies of internationalization pursued by first tier automotive suppliers (FTS). The advent of modular production in this sector implies many changes in vertical relationships, which can in turn be used to explain the causes and forms of suppliers’ internationalization. The paper tries to explain internationalization patterns via an analytical grid wherein proximity needs are portrayed as a function of the complexity and exclusivity of inter-firm interactions. The argument applied in this article is broken down into three sections: the first reconsiders the transformations induced by modularization; the second presents some stylized facts about the internationalization of FTS; and the third part both presents an analytical grid and derives its implications in terms of location of suppliers.Internationalisation; Modularity; Industrial Geography; Vertical Relationships; First Tier Suppliers; Automotive

A Web‐Based Instructional Module for Research and Learning in Design and Analysis of Enterprise Systems

This paper describes an instructional module designed to create a repository for introducing students and industry practitioners to enterprise systems. A web‐based design was used to make the module scalable, utilizing Internet capabilities and adapting a systemic approach to disseminate information on research projects. Important characteristics of a web site for organizing information are described. A generic web design problem is outlined and a case study on supply chain management is illustrated. Uses of the module on curricula that satisfy cognitive goals of enterprise system education are discussed. The module offers extensibility to incorporate live applications through the web site.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95033/1/j.2168-9830.2001.tb00588.x.pd

Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

EXPLOITING KASPAROV'S LAW: ENHANCED INFORMATION SYSTEMS INTEGRATION IN DOD SIMULATION-BASED TRAINING ENVIRONMENTS

Despite recent advances in the representation of logistics considerations in DOD staff training and wargaming simulations, logistics information systems (IS) remain underrepresented. Unlike many command and control (C2) systems, which can be integrated with simulations through common protocols (e.g., OTH-Gold), many logistics ISs require manpower-intensive human-in-the-loop (HitL) processes for simulation-IS (sim-IS) integration. Where automated sim-IS integration has been achieved, it often does not simulate important sociotechnical system (STS) dynamics, such as information latency and human error, presenting decision-makers with an unrealistic representation of logistics C2 capabilities in context. This research seeks to overcome the limitations of conventional sim-IS interoperability approaches by developing and validating a new approach for sim-IS information exchange through robotic process automation (RPA). RPA software supports the automation of IS information exchange through ISs’ existing graphical user interfaces. This “outside-in” approach to IS integration mitigates the need for engineering changes in ISs (or simulations) for automated information exchange. In addition to validating the potential for an RPA-based approach to sim-IS integration, this research presents recommendations for a Distributed Simulation Engineering and Execution Process (DSEEP) overlay to guide the engineering and execution of sim-IS environments.Major, United States Marine CorpsApproved for public release. Distribution is unlimited

Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback

Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among problem solving practitioners of an organization in order to improve processes and products achievement. During Problem Solving Processes, the intellectual investment of experts is often considerable and the opportunities for expert knowledge exploitation are numerous: decision making, problem solving under uncertainty, and expert configuration. In this paper, our contribution relates to the structuring of a cognitive experience feedback framework, which allows a flexible exploitation of expert knowledge during Problem Solving Processes and a reuse such collected experience. To that purpose, the proposed approach uses the general principles of root cause analysis for identifying the root causes of problems or events, the conceptual graphs formalism for the semantic conceptualization of the domain vocabulary and the Transferable Belief Model for the fusion of information from different sources. The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects. An example will illustrate the application of the proposed approach of experience feedback processes formalization in the transport industry sector

Mediating skills on risk management for improving the resilience of Supply Networks by developing and using a serious game

Given their importance, the need for resilience and the management of risk within Supply Networks, means that engineering students need a solid under-standing of these issues. An innovative way of meeting this need is through the use of serious games. Serious games allow an active experience on how differ-ent factors influencethe flexibility, vulnerability and capabilities in Supply Networks and allow the students to apply knowledge and methods acquired from theory. This supports their ability to understand, analyse and evaluate how different factors contribute to the resilience. The experience gained within the game will contribute to the studentsâ abilities to construct new knowledge based on their active observation and reflection of the environment when they later work in a dynamic environment in industry. This game, Beware, was developed for use in a blended learning environment. It is a part of a course for engineering master students at the University of Bremen. It was found that the game was effective in mediating the topic of risk management to the students espscially in supporting their ability of applying methods, analyse the different interactions and the game play as well as to support the assessment of how their decision-making affected the simulated network