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Research Project
ADAPTIVE PRODUCTION MANAGEMENT
Funder
Authors
Publications
Towards robustness and self-organization of ESB-based solutions using service life-cycle management
Publication . Leitão, Paulo; Barbosa, José; Pereira, Arnaldo
Enterprise Service Bus (ESB) is a middleware infra-structure that provides a way to integrate loosely-coupled heterogeneous software applications based on the services principles. The life-cycle management of services in such environments is a critical issue for the component’s reuse, maintenance and operation. This paper introduces a service life-cycle management module that extends the traditional functionalities with advanced monitoring and data analytics to contribute for the robustness, reliability and self-organization of networks of clusters based on ESB platforms. The realization of this module was embedded in the JBoss ESB, considering a sniffer mechanism to collect the service messages crossing the bus and a Liferay portal to display relevant information related to the services’ health.
Adaptive scheduling based on self-organized holonic swarm of schedulers
Publication . Leitão, Paulo; Barbosa, José
Scheduling plays an important role in the companies’ competiveness, dealing with complex combinatorial problems subject to uncertainty and emergence. In particular, in the ramp-up phase of small lot-sizes of complex products, scheduling is more demanding, e.g. due to late requests and immature technology products and processes. This paper presents the principles of a distributed scheduling architecture based on holonic and swarm principles and implemented using multi-agent system technology. In particular, it is described the coordination among the network of the swarm of schedulers and analysed the impact of embedded self-organization mechanisms.
Multi-agent system approach for the strategic planning in ramp-up production of small lots
Publication . Leitão, Paulo; Barbosa, José; Vrba, Pavel; Tsarev, Alexander; Kazanskaia, Daria; Skobelev, Petr
This paper discusses the methodology for the
development of a strategic planning tool, and particularly the architectural solution to be adopted, within an integrated ICT
solution for the improvement of planning and scheduling systems for the manufacturing of small production lots of complex products. After the analysis of different possible architectural solutions, the paper proposes a hybrid solution that combines existing solvers with the multi-agent system principles. The
proposed approach introduces several benefits, namely in terms of flexibility, robustness, and achievement of exploratory alternative solutions, playing interactive what-if simulation supporting decision-makers to take strategic decisions.
Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges
Publication . Leitão, Paulo; Colombo, Armando W.; Karnouskos, Stamatis
Cyber-Physical Systems (CPS) is an emergent approach that focuses on the integration of computational applications with physical devices, being designed as a network of interacting cyber and physical elements. CPS control and monitor real-world physical infrastructures and thus is starting having a high impact in industrial automation. As such design, implementation and operation of CPS and management of the resulting automation infrastructure is of key importance for the industry. In this work, an overview of key aspects of industrial CPS, their technologies and emerging directions, as well as challenges for their implementation is presented. Based on the hands-on experiences gathered from four European innovation projects over the last decade (i.e. SOCRADES, IMC-AESOP, GRACE and ARUM), a key challenges have been identified 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.
Agent-based strategic planner for the production of samll lots of complex products: theoretical and practical perspectives
Publication . Leitão, Paulo; Barbosa, José
This paper presents a strategic planner that assists the decision-makers to take strategic decisions
on short term to respond faster and efficiently to unexpected events in the ramp-up production of
complex and highly customized products, namely in situations of peak of demand, late change
requests and immature technology. This tool combines the flexibility of multi-agent systems with
the optimization capability of mathematical optimization solvers. The application of the strategic
planner is illustrated by playing iterative what-if games supporting implementation of mitigation
strategies addressing a real use case of a peak demand of a specific product.
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Funders
Funding agency
European Commission
Funding programme
FP7
Funding Award Number
314056