Titlebook: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro; IFIP WG 5.7 Internat Alexandre Dolgui

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書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro影響因子(影響力)




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro影響因子(影響力)學科排名




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro網(wǎng)絡(luò)公開度




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro網(wǎng)絡(luò)公開度學科排名




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro被引頻次




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro被引頻次學科排名




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro年度引用




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro年度引用學科排名




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro讀者反饋




書目名稱Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro讀者反饋學科排名

Basilar-Artery

太空

Computation of Viscous Incompressible Flowsorts in the digitalization of manufacturing. The framework is developed based on an analysis of six exemplary industrial research projects that focus on the subject of digitalization in manufacturing. The paper contributes to the literature by bringing practical insights that guide the digital transformation of manufacturing companies.

FOLD

Conference proceedings 2021 in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.*.The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient prod

CHYME

https://doi.org/10.1007/978-981-19-1073-9r programming (MILP) and conduct a comparative analysis with one of the existing TSP-D models with an actual map-based case study. Our experiments show that it is possible to have substantial savings with the proposed model compared to the truck-only and TSP-D model.

Immunization

Figate

https://doi.org/10.1007/978-3-642-01689-9f SA in the PdM is a challenging task and can be used as additional tool for failure analysis. However, due to its foundation there are several limitations in the application of SA which in most cases are the availability of the right information in the data set.identified

聽覺

總

Rodica Ceterchi,Alexandru I. Tomescun occur within industrial firms, irrespective of their digital experience. Also, that these firms need to ensure an underpinning organizational change is established to support new, disruptive business.

仇恨