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Dive into the research topics where K. Efthymiou is active.

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Featured researches published by K. Efthymiou.


International Journal of Production Research | 2013

Flexibility and complexity: is it a trade-off?

George Chryssolouris; K. Efthymiou; Nikolaos Papakostas; Dimitris Mourtzis; Aris Pagoropoulos

The aim of this paper is to investigate the relationship between flexibility and complexity. A number of flexibility measurement approaches are presented and are connected with the flexibility types they address. A series of measures and methods for the analysis and assessment of static and dynamic complexity are provided. A new measure for the assessment of static complexity, based on network complexity, is introduced. The relationship between flexibility and complexity is investigated with the help of two sets of indicative, simple and yet realistic manufacturing systems.


Logistics Research | 2012

On the Configuration and Planning of Dynamic Manufacturing Networks

Nikolaos Papakostas; K. Efthymiou; Konstantinos Georgoulias; George Chryssolouris

Manufacturing organizations have been attempting to improve the operation of supply networks through efficient supply chain management. Dynamic manufacturing networks (DMNs) constitute chains of diverse partners, whose operation and interaction may change in a rapid and often not predictable way. While the existing supply chain models are quite static and examine transportation modes, product changeover and production facility options with fixed suppliers and over a long period of time, the DMNs address operations and risks on a daily basis. In this paper, a novel decision-making approach is proposed for supporting the process of configuring a DMN from a holistic perspective, taking into account production, transportation and time constraints as well as multiple criteria such as time and cost.


International Journal of Computer Integrated Manufacturing | 2016

Manufacturing systems complexity analysis methods review

K. Efthymiou; Dimitris Mourtzis; Aris Pagoropoulos; Nikolaos Papakostas; George Chryssolouris

In the globalised and interconnected market, demand fluctuation along with the requirements of high product quality, low cost, short lead time and high customisation may lead to an increase in manufacturing complexity. Over the past years, several methods, following different theories and approaches, have been proposed for the analysis of manufacturing complexity. In this paper, the concepts of a manufacturing system’s complexity are discussed. This study is a systematic and rigorous attempt to identify and synthesise the research done in the manufacturing systems’ complexity domain. Special emphasis is given to the approaches based on a theoretical analytical framework that provide a quantitative analysis of manufacturing systems complexity. These approaches and their applications to industrial problems are presented, classified and discussed.


international conference on product lifecycle management | 2013

A Knowledge Based Collaborative Platform for the Design and Deployment of Manufacturing Systems

George Pintzos; Loukas Rentzos; K. Efthymiou; Nikolaos Papakostas; George Chryssolouris

The PLM systems do not provide any link to actual performance indicators, related to cost, time, and quality parameters. This paper describes a collaboration platform, based on a semantic core that expresses knowledge about Products, Processes and Resources. The platform is internet based, connecting engineers in the extended enterprise with shopfloor personnel. The concept is based both on a series of distinct components and elements comprising the knowledge base, and on a set of software agents. The latter are interfaced with a set of Computer Aided (CAx) systems and provide decision support capabilities for the design of a production line.


Archive | 2013

Intelligent Scheduling for Manufacturing Systems: A Case Study

K. Efthymiou; Aris Pagoropoulos; Dimitris Mourtzis

The aim of this paper is the presentation of a scheduling method, its implementation to a software system, and its application to a commercial refrigerator factory. The method employs the modeling of the factory’s resources and the assignment of the workload of the resources in a hierarchical fashion. The developed software system simulates the operations of the factory and provides a schedule for the manufacturing system’s resources. The system is integrated with a holistic virtual platform, namely Virtual Factory Framework that allows it to exchange data related to product, process, resources, and key performance indicators along with other software components also integrated with the Virtual Factory Framework. A set of digital scheduling experiments with data, coming from a real manufacturing system are conducted in order to validate the proposed method and the implemented system under different operational conditions.


Cirp Annals-manufacturing Technology | 2009

Modelling the complexity of manufacturing systems using nonlinear dynamics approaches

Nikolaos Papakostas; K. Efthymiou; Dimitris Mourtzis; George Chryssolouris


Procedia CIRP | 2012

Manufacturing Systems Complexity Review: Challenges and Outlook

K. Efthymiou; Aris Pagoropoulos; Nikolaos Papakostas; Dimitris Mourtzis; George Chryssolouris


Cirp Journal of Manufacturing Science and Technology | 2015

On knowledge reuse for manufacturing systems design and planning: A semantic technology approach

K. Efthymiou; Konstantinos Sipsas; Dimitris Mourtzis; George Chryssolouris


Procedia CIRP | 2012

On a Predictive Maintenance Platform for Production Systems

K. Efthymiou; Nikolaos Papakostas; Dimitris Mourtzis; George Chryssolouris


Procedia CIRP | 2014

Knowledge-based Estimation of Manufacturing Lead Time for Complex Engineered-to-order Products☆

Dimitris Mourtzis; M. Doukas; K. Fragou; K. Efthymiou; V. Matzorou

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Aris Pagoropoulos

Technical University of Denmark

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