Showing papers in "Computers in Industry in 2016"

TL;DR: The results of the triangulation approach, which consists of a comprehensive systematic literature review and case study research, are presented, by illustrating a PESTEL framework and a value chain model, to present the implications of Industry 4.0 for the construction industry.

TL;DR: An overview of key aspects of industrial CPS, their technologies and emerging directions, as well as challenges for their implementation is presented and a prioritization and timeline are pointed out with the aim to increase Technology Readiness Levels and lead to their usage in industrial automation environments.

TL;DR: This work provides a review of the current status of virtualization and cloud-based services for manufacturing systems and of the use of Big Data analytics for planning and control of manufacturing operations and proposes a framework for the development of predictive manufacturing cyber-physical systems that include capabilities for attaching to the Internet of Things, and capabilities for complex event processing and Big Data algorithmic analytics.

TL;DR: The requirement that methodologies for CPS-design should be part of a multi-disciplinary development process within which designers should focus not only on the separate physical and computational components, but also on their integration and interaction is considered.

TL;DR: A novel particle swarm optimization algorithm based on Hill function is presented to minimize makespan and energy consumption in dynamic flexible flow shop scheduling problems and shows that the proposed algorithm outperforms the behavior of state of the art algorithms.

TL;DR: This state-of-the-art paper discusses various aspects of EISs, including EIS design and engineering, the impact of enterprise modelling, enterprise architecture, enterprise integration and interoperability and enterprise networking on E ISs before concluding.

TL;DR: The state-of-the-art in the field of PSS design, evaluation, and operation methodologies (PSS-DEOM) is comprehended by conducting a systematic literature review.

TL;DR: A new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise based on a metamodelling approach.

TL;DR: Four big challenges of enterprise information systems (EIS) are defined and discussed: (1) data value chain management; (2) context awareness; (3) usability, interaction and visualization; and (4) human learning and continuous education.

TL;DR: An approach based on a UML profile for the IoT is presented to fully automate the generation process of the IoT-compliant layer that is required for the cyber-physical component to be effectively integrated into the modern IoT manufacturing environment.

TL;DR: This study reviews the literature in the field of supply chain performance measurement and assembles an overview of those systems, approaches, techniques and criteria, revealing that performance measurement in supply chain contexts is still a fruitful area of research.

TL;DR: The paper presents the “Grand Challenges” and discusses promising theories and models for addressing them and current advances in the field of enterprise architecture that have begun to address the challenges.

TL;DR: Issues and emerging trends that must be addressed if a true sensing and smart enterprise is to be achieved to meet sustainability requirements are discussed and several challenges to be addressed by future research in enterprise modelling are summarized.

TL;DR: The paper describes the information system and interoperability related challenges, trends and issues that must be addressed to support a new generation of scientific-based and technological solutions for facilitating the collaboration of existing enterprise systems.

TL;DR: The different NLP techniques designed and used in collaboration between the CLLE-ERSS research laboratory and the CFH/Safety Data company to manage and analyse aviation incident reports are described.

TL;DR: This study demonstrates the effectiveness of this integrated approach to measure the performance of ERP systems at the post-implementation stage under evaluators' subjective, uncertainty, and vagueness judgments.

TL;DR: The challenge of sustaining networked EIS interoperability is focused on, and input from solid research initiatives in the areas of knowledge management and model driven development is taken up, to propose and discuss several research strategies and technological trends towards next EIS generation.

TL;DR: The outcomes of the investigation highlight the successful implementation of TRIZ within, among the others, biomimetics and information processing, as the traditional borders of mechanical and industrial engineering have been frequently crossed.

TL;DR: The use of ontologies is shown for the semantic annotation of a Web Service-based architecture for the control of manufacturing systems and the most proper ones for the manufacturing domain representation are identified thanks to their analysis against the main requirements.

TL;DR: A framework and associated engineering approach combines multi-agent system with Service Oriented Architectures for the development of intelligent automation control and execution of manufacturing systems.

TL;DR: This paper proposes a conceptual model for customer orientation in intelligent logistics and describes a number of specific developments the authors are involved in, which will enhance the customer experience.

TL;DR: This paper presents the architecture of Agent-based Manufacturing Execution Systems dedicated for short-series production support, based on Microsoft's Model-View-Controller and was created under the ASP.NET technology.

TL;DR: In this article, the authors focus on the design of PI-containers and on their associated activeness, and a grouping application of containers in a PI-hub is used to illustrate the proposed model.

TL;DR: A framework and a template to clarify the concepts and structure behind a given condition-based maintenance solution are presented and the necessity of CBM management approaches in complex contest like E-Maintenance strategies is discussed.

TL;DR: A systematic review of the current state of the art in the application of text analytics in industry and a set of desiderata that text analytics techniques should satisfy in order to alleviate challenges and to ensure their successful deployment in industry are provided.

TL;DR: This editorial introduces the special issue on Emerging Information and Communication Technology concepts for smart, safe and sustainable industrial systems in the Elsevier journal Computers in Industry and suggests basic requirements to design usable future Industrial Systems that must be safe, smart and sustainable.

TL;DR: A GIS-based multi-criteria decision making approach is applied and the "Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)" method is applied to determine the best alternative based on the weighted criteria.

TL;DR: This paper introduces a method for integration of the multi-layer product representation and the optimal search in product selective disassembly planning and the method enables an efficient search for the disassembly sequence.

TL;DR: A hybrid reality-based user experience and evaluation of a context-aware smart home that is provided by the integration of egocentric virtual reality and exocentric augmented reality and a useful tool for understanding and experiencing the smart home environment is proposed.

TL;DR: The state of the art section provides pointers to possible radical changes to models, methodologies, theories and tools in EIS design and implementation, with the potential to solve these grand challenges.