Ghent University Academic Bibliography

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Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata

Arne Deloose (UGent) , Glenn Gysels, Bernard De Baets (UGent) and Jan Verwaeren (UGent)

(2023) COMPUTERS IN INDUSTRY. 145.
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The biggest business process management problems to solve before we die

Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, et al.

(2023) COMPUTERS IN INDUSTRY. 146.
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The digitization of a food package’s life cycle : existing and emerging computer systems in the pre-logistics phase

Mike Vanderroost (UGent) , Peter Ragaert (UGent) , Jan Verwaeren (UGent) , Bruno De Meulenaer (UGent) , Bernard De Baets (UGent) and Frank Devlieghere (UGent)

(2017) COMPUTERS IN INDUSTRY. 87. p.1-14
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The digitization of a food package’s life cycle : existing and emerging computer systems in the logistics and post-logistics phase

Mike Vanderroost (UGent) , Peter Ragaert (UGent) , Jan Verwaeren (UGent) , Bruno De Meulenaer (UGent) , Bernard De Baets (UGent) and Frank Devlieghere (UGent)

(2017) COMPUTERS IN INDUSTRY. 87. p.15-30
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Multi-abstraction layered business process modeling

Dieter Van Nuffel and Manu De Backer (UGent)

(2012) COMPUTERS IN INDUSTRY. 63(2). p.131-147
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Fuzzy group decision-making to multiple preference formats in quality function deployment

Gülçin Büyüközkan, Orhan Feyzioğlu and Da Ruan (UGent)

(2007) COMPUTERS IN INDUSTRY. 58(5). p.392-402

Academic Bibliography

Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata

The biggest business process management problems to solve before we die

The digitization of a food package’s life cycle : existing and emerging computer systems in the pre-logistics phase

The digitization of a food package’s life cycle : existing and emerging computer systems in the logistics and post-logistics phase

Multi-abstraction layered business process modeling

Fuzzy group decision-making to multiple preference formats in quality function deployment

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