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Liane Mahlmann Kipper

Researcher at Universidade de Santa Cruz do Sul

Publications -  99
Citations -  951

Liane Mahlmann Kipper is an academic researcher from Universidade de Santa Cruz do Sul. The author has contributed to research in topics: Computer science & Lean manufacturing. The author has an hindex of 12, co-authored 79 publications receiving 562 citations. Previous affiliations of Liane Mahlmann Kipper include University of California, Santa Cruz.

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Value Stream Mapping: a study about the problems and challenges found in the literature from the past 15 years about application of Lean tools

TL;DR: This paper criticizes some ways that VSM has been used, observing that important constraints created by its application must be considered and that when used incorrectly, the tool can lead to mistakes that can cause problems instead of benefits.
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Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis

TL;DR: This study identified the evolution of themes inherent in the industry 4.0 using a bibliometric software, namely SciMAT (Science Mapping Analysis Software Tool), and presented 31 clusters in which the most representative motor themes were CPS (Cyber-Physical System), IoT, and Big Data.
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Link Between Sustainability and Industry 4.0: Trends, Challenges and New Perspectives

TL;DR: The research gaps for proposing future work relating to industry 4.0 and sustainability are described and the scientific efforts are focused to enhance economic and environmental aspects and highlights a lack of effort relating the social sphere.
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Scientific mapping to identify competencies required by industry 4.0

TL;DR: A survey of the literature and a scientific mapping of the evolution of the issues related to the qualification of professionals for Industry 4.0 highlighted the set of competencies that must be developed in professional education to accompany the new industrial revolution.
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Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

TL;DR: A Systematic Literature Review (SLR) supported by a Bibliometric Performance and Network Analysis (BPNA) of the use of A4.0 technologies and PA techniques in the coffee sector shows that Internet of Things, Machine Learning and geostatistics are the most used technologies in the Coffee sector.