scholarly journals Methodology to Validate Results from European Research Projects: The C2NET Case Study

2019 ◽  
Vol 7 ◽  
pp. 81
Author(s):  
R. Sanchis ◽  
B. Andrés ◽  
R. Poler
Keyword(s):  
European Commission ◽  
European Research ◽  
Research Projects ◽  
Collaborative Manufacturing ◽  
General Methodology ◽  
Research Activities ◽  
Manufacturing Networks ◽  
European Projects ◽  
Proper Operation

<p>One of the main priorities of the European Commission is the utilisation of European Projects results in further research activities, or in developing, creating and marketing a product or process. For this reason, it is critical to test and validate European projects results before implementing them in real scenarios. In this paper, a general validation methodology addressed to the assessment of technological results has been defined. This general methodology offers the foundations to define specific validation methodologies to validate particular results of different Research Projects. As an example, the general methodology has been applied to define a specific one for the validation of an Optimiser developed within the European Research Project: Cloud Collaborative Manufacturing Networks (C2NET) to guarantee the proper operation of the research results and facilitate their later real implementation and exploitation.</p>

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

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