2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2017
DOI: 10.1109/ice.2017.8280018
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A multi-agent approach for processing industrial enterprise data

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Cited by 8 publications
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“…Moreover, it offers a platform on which products, processes and logistical data can be securely stored and shared in the cloud (Black, 2017). Sanchis et al, (2018) offers a brief description of the main four exploitable results ( Figure 1): (i) the Data Collection Framework (DCF) in charge of gathering the necessary data for the other C2NET modules (Agostinho et al, 2016 andMohammed et al, 2017); (ii) the Optimizer (OPT) whose main goal is the optimisation of several planning problems such as Aggregate Planning problems (AP), Material Requirement Planning (MRP) problems, … (Sanchis et al, 2018); (iii) the Collaboration Tools (COT) to provide the necessary means to collaboratively solve agility issues in the supply chain (Benaben et al, 2016) and (iv) the C2NET platform that hosts all the previous C2NET modules ( Ramis-Ferrer et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, it offers a platform on which products, processes and logistical data can be securely stored and shared in the cloud (Black, 2017). Sanchis et al, (2018) offers a brief description of the main four exploitable results ( Figure 1): (i) the Data Collection Framework (DCF) in charge of gathering the necessary data for the other C2NET modules (Agostinho et al, 2016 andMohammed et al, 2017); (ii) the Optimizer (OPT) whose main goal is the optimisation of several planning problems such as Aggregate Planning problems (AP), Material Requirement Planning (MRP) problems, … (Sanchis et al, 2018); (iii) the Collaboration Tools (COT) to provide the necessary means to collaboratively solve agility issues in the supply chain (Benaben et al, 2016) and (iv) the C2NET platform that hosts all the previous C2NET modules ( Ramis-Ferrer et al, 2016).…”
Section: Introductionmentioning
confidence: 99%