2009
Autores
Chituc, CM; Azevedo, A; Toscano, C;
Publicação
COMPUTERS IN INDUSTRY
Abstract
The advances in information and communication technologies and economic factors impelled organizations to engage in new forms of collaboration, such as collaborative networks. They require adequate frameworks, architectures, tools and platforms to support interoperability among heterogeneous and geographically distributed organizations. Despite the high number of research projects in this area, existing tools and infrastructures, this objective has not been totally achieved. The aim of this research work is to advance the research in the area of interoperability in collaborative networks. A conceptual framework towards seamless interoperability in a collaborative-competitive economic networked environment is described, which comprises six elements: (1) a messaging service: (2) a collaboration profile/agreement definition and management service; (3) five clusters of collaborative activities: (4) a centralized repository; (5) a set of business documents and a set of contracting documents; (6) a performance assessment service. The functionality of the conceptual framework proposed is illustrated with a real implementation case targeting the footwear industry. The proposed conceptual framework is then compared with relevant e-business frameworks.
2009
Autores
Crispim, JA; de Sousa, JP;
Publicação
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Abstract
Partner selection in virtual enterprises (VE) can be viewed as a multi-criteria decision making problem that involves assessing trade-offs between conflicting tangible and intangible criteria. In general, this is a very complex problem due to the dynamic topology of the network, the large number of alternatives and the different types of criteria. In this paper we propose an exploratory process to help the decision-maker obtain knowledge about the network in order to identify the criteria and the companies that best suit the needs of each particular project. This process involves a multi-objective tabu search metaheuristic designed to find a good approximation of the Pareto front, and a fuzzy TOPSIS algorithm to rank the alternative VE configurations. In the exploratory phase we apply clustering analysis to confine the search according to the decision-maker beliefs, and case base reasoning, an artificial intelligence approach, to totally or partially construct VEs by reusing past experiences. Preliminary computational results clearly demonstrate the potential of the approach for practical application.
2009
Autores
Crispim, J; de Sousa, JP;
Publicação
LEVERAGING KNOWLEDGE FOR INNOVATION IN COLLABORATIVE NETWORKS
Abstract
A virtual enterprise (VE) is a temporary organization that pools the core competencies of its member enterprises and exploits fast changing market opportunities. The success of such an organization is strongly dependent on its composition, and the selection of partners becomes therefore a crucial issue. This problem is particularly difficult because of the uncertainties related to information, market dynamics, customer expectations and technology speed up. In this paper we propose an integrated approach to rank alternative VE configurations in business environments with uncertainty, using an extension of the TOPSIS method for fuzzy data, improved through the use of a stochastic multiobjective tabu search meta-heuristic. Preliminary computational results clearly demonstrate the potential of this approach for practical application.
2009
Autores
Rego, N; de Sousa, JP;
Publicação
LEVERAGING KNOWLEDGE FOR INNOVATION IN COLLABORATIVE NETWORKS
Abstract
This paper presents an innovative approach to support the definition of strategies for the design of alternative configurations of hospital supply chains. This approach was developed around a hybrid Tabu Search / Variable Neighbourhood Search metaheuristic, that uses several neighbourhood structures. The flexibility of the procedure allows its application to supply chains with different topologies and atypical cost characteristics. A preliminary computational experience shows the approach potential in solving large scale supply chain configuration problems. The future incorporation of this approach in a broader Decision Support System (DSS) will provide a tool that can significantly contribute to an increase of healthcare supply chains efficiency and encourage the establishment of collaborative partnerships between their members.
2009
Autores
Costa, MT; Gomes, AM; Oliveira, JF;
Publicação
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Abstract
The nesting problem is a two-dimensional cutting and packing problem where the small pieces to cut have irregular shapes. A particular case of the nesting problem occurs when congruent copies of one single shape have to fill, as much as possible, a limited sheet. Traditional approaches to the nesting problem have difficulty to tackle with high number of pieces to place. Additionally, if the orientation of the given shape is not a constraint, the general nesting approaches are not particularly successful. This problem arises in practice in several industrial contexts such as footwear, metalware and furniture. A possible approach is the periodic placement of the shapes, in a lattice way. In this paper, we propose three heuristic approaches to solve this particular case of nesting problems. Experimental results are-compared with published results in literature and additional results obtained from new instances are also provided.
2009
Autores
Chituc, C; Azevedo, AL;
Publicação
Electronic Business
Abstract
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