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Prote, Jan-Philipp
79  Ergebnisse:
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1

Data mining methods for macro level process planning:

Schuh, Günther ; Prote, Jan-Philipp ; Hünnekes, Philipp
Procedia CIRP.  88 (2020)  - p. 48-53 , 2020
Link: https://doi.org/10.1016/..
 
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2

Internet of Production – Steigerung des Wertschöpfungsantei..:

, In: Springer Reference Technik; Handbuch Industrie 4.0,
Schuh, Günther ; Prote, Jan-Philipp ; Molitor, Marco. - p. 1-34 , 2020
Link: https://doi.org/10.1007/..
 
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3

Industrie 4.0: Agile Entwicklung und Produktion im Internet..:

, In: Handbuch Industrie 4.0: Recht, Technik, Gesellschaft,
Schuh, Günther ; Riesener, Michael ; Prote, Jan-Philipp... - p. 467-488 , 2020
Link: https://doi.org/10.1007/..
 
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4

Control loop for a databased prediction of order-specific t..:

, In: Production at the leading edge of technology,
Sauermann, Frederick ; Hagemann, Marcel ; Prote, Jan-Philipp. - p. 463-472 , 2019
Link: https://doi.org/10.1007/..
 
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5

Data Mining Definitions and Applications for the Management..:

Schuh, Günther ; Reinhart, Gunther ; Prote, Jan-Philipp...
Procedia CIRP.  81 (2019)  - p. 874-879 , 2019
Link: https://doi.org/10.1016/..
 
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6

Integrated Process for Optimized Planning of Migration in P..:

, In: Production at the leading edge of technology,
Maibaum, Judith ; Cremer, Sven ; Prote, Jan-Philipp. - p. 633-641 , 2019
Link: https://doi.org/10.1007/..
 
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7

Influencing factors for the design of agile global producti..:

, In: Production at the leading edge of technology,
Rodemann, Niklas ; Ays, Julian ; Gützlaff, Andreas.. - p. 563-571 , 2019
Link: https://doi.org/10.1007/..
 
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8

From a Theory of Production to Data-Based Business Models:

, In: IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Towards Smart Production Management Systems,
Schuh, Günther ; Brettel, Malte ; Prote, Jan-Philipp... - p. 277-284 , 2019
Link: https://doi.org/10.1007/..
 
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9

Impact of Modeling Production Knowledge for a Data Based Pr..:

, In: IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Production Management for the Factory of the Future,
Schuh, Günther ; Prote, Jan-Philipp ; Hünnekes, Philipp.. - p. 341-348 , 2019
Link: https://doi.org/10.1007/..
 
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10

Determination of the abstraction level in production networ..:

Benfer, Martin ; Ziegler, Moritz ; Gützlaff, Andreas...
Procedia CIRP.  81 (2019)  - p. 198-203 , 2019
Link: https://doi.org/10.1016/..
 
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11

Effects of the update frequency of production plans on the ..:

Schuh, Guenther ; Prote, Jan-Philipp ; Luckert, Melanie..
Procedia CIRP.  79 (2019)  - p. 421-426 , 2019
Link: https://doi.org/10.1016/..
 
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12

Handling Uncertainties in Production Network Design:

, In: IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Towards Smart Production Management Systems,
Schuh, Günther ; Prote, Jan-Philipp ; Gützlaff, Andreas. - p. 43-50 , 2019
Link: https://doi.org/10.1007/..
 
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13

Synchronization of Scrum and Stage-Gate in Hybrid Product D..:

, In: Production at the leading edge of technology,
Krug, Marius ; Ays, Johanna ; Sauermann, Frederick.. - p. 421-430 , 2019
Link: https://doi.org/10.1007/..
 
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14

Internet of Production: Rethinking production management: I..:

, In: Production at the leading edge of technology,
Schuh, Günther ; Prote, Jan-Philipp ; Gützlaff, Andreas... - p. 533-542 , 2019
Link: https://doi.org/10.1007/..
 
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15

Using Prescriptive Analytics to Support the Continuous Impr..:

, In: IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Production Management for the Factory of the Future,
Schuh, Günther ; Prote, Jan-Philipp ; Busam, Thomas.. - p. 46-53 , 2019
Link: https://doi.org/10.1007/..
 
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