Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Production Management ◽  
Production Systems ◽  
Management Systems

scholarly journals DIGITAL JOURNALISM: multifaceted research in the development of didactics and production processes

2021 ◽  
Vol 7 (3) ◽  
pp. a13en
Author(s):  
Zanei Barcellos
Keyword(s):  
Artificial Intelligence ◽  
New Media ◽  
Production Management ◽  
Applied Research ◽  
Management Systems ◽  
The Internet ◽  
Production Processes ◽  
Digital Journalism ◽  
Production And Distribution ◽  
Media Formats

The internet is the main source of news for Brazilians, the smartphone is the preferred device to reach them and social media have overtaken television as the hegemonic journalistic medium. Fragmented journalism in cyberspace demands new narratives, new media formats, production and distribution processes. Algorithms and artificial intelligence (AI) systems already perform many tasks, the profession reshapes itself and the teaching of digital journalism needs to keep up with the transformations. This article proposes multifaceted applied research as a way to develop narratives, apparatuses, production management systems and didactics capable of keeping up with technological evolutions and train journalists capable of researching and working in mutant environments.

INTERDISCIPLINARY LINKS, INTEGRATIVE APPROACH,HEURISTIC METHODS AND ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF INNOVATION - PART 1

2018 ◽  
Vol 28 (5) ◽  
pp. 1527-1532
Author(s):  
Hristo Patev
Keyword(s):  
Artificial Intelligence ◽  
Production Systems ◽  
Innovation Management ◽  
Integrative Approach ◽  
Heuristic Methods ◽  
Organizational Renewal ◽  
Innovation Activities ◽  
Management Of Innovation ◽  
Inventive Activity ◽  
High Degree

In this first work, out of the total of twenty-four, are considered: Integrative approach, interdisciplinary relations and transnational language in the technical and economic fundament of engineering and management, for the purpose of competitive innovation and successful business. Approaches to develop the innovation with a high degree of complexity. Interactive heuristic methods and algorithms for inventive activity, for inspiring and developing new industrial products and services for households and production systems. Implementing an effective business vocabulary for organizational renewal. Introduction of gaming and "art" methods in innovation management. Intensifying innovation activities through an attempt to introduce artificial intelligence into teamwork, with simultaneous implementation of an engineering and non-engineering approach.

scholarly journals A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 600
Author(s):  
Darren J. Murphy ◽  
Michael D. Murphy ◽  
Bernadette O’Brien ◽  
Michael O’Donovan
Keyword(s):  
Remote Sensing ◽  
Precise Measurement ◽  
Production Systems ◽  
Measurement Techniques ◽  
Grassland Management ◽  
Management Systems ◽  
Sampling Techniques ◽  
Optimal Sampling ◽  
Labour Costs ◽  
Grassland Production

The development of precision grass measurement technologies is of vital importance to securing the future sustainability of pasture-based livestock production systems. There is potential to increase grassland production in a sustainable manner by achieving a more precise measurement of pasture quantity and quality. This review presents an overview of the most recent seminal research pertaining to the development of precision grass measurement technologies. One of the main obstacles to precision grass measurement, sward heterogeneity, is discussed along with optimal sampling techniques to address this issue. The limitations of conventional grass measurement techniques are outlined and alternative new terrestrial, proximal, and remote sensing technologies are presented. The possibilities of automating grass measurement and reducing labour costs are hypothesised and the development of holistic online grassland management systems that may facilitate these goals are further outlined.

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