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Autonomous Industrial Management via Reinforcement Learning

Journal of Intelligent & Fuzzy Systems, 2020
Industry has always been in the pursuit of becoming more economically efficient and the current focus has been to reduce human labour using modern technologies.
L. E. Leal   +2 more
semanticscholar   +1 more source

Understanding knowledge management and upskilling in Fourth Industrial Revolution: transformational shift and SECI model

VINE Journal of Information and Knowledge Management Systems, 2022
Purpose The adoption of knowledge management (KM) to steer new skills and capabilities among people provides evidence that KM not only offers competitive advantages but also provides a means for organisational survival, by improvising core capabilities ...
M F Anshari, Mahani Hamdan
semanticscholar   +1 more source

Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things

IEEE Transactions on Industrial Informatics, 2021
Nowadays, driven by the rapid development of smart mobile equipments and 5G network technologies, the application scenarios of Internet of Things (IoT) technology are becoming increasingly widespread.
Ying Chen   +5 more
semanticscholar   +1 more source

The evolution of Industrial Management & Data Systems over the past 25 years

Industrial management & data systems, 2019
Purpose The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94, issue 1, in 1994 through volume 118, issue 9, in 2018, using a ...
Chao Wang   +3 more
semanticscholar   +1 more source

Manufacturing Processes Quality Control as a Main Factor of Performance Enhancement in Industrial Management

IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, 2019
The article describe the key characteristics of quality control in production and technological processes of industrial management, which directly affect the efficiency of these processes, and which is the most important aspect of increasing ...
Tatiana A. Ryabchik   +3 more
semanticscholar   +1 more source

Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT

IEEE Transactions on Vehicular Technology, 2021
Performing deep neural network (DNN) inference in real time requires excessive network resources, which poses a big challenge to the resource-limited industrial Internet of things (IIoT) networks.
Weiting Zhang   +6 more
semanticscholar   +1 more source

Alertness Management in Industry

American Industrial Hygiene Association Journal, 1966
Abstract Alertness management is of interest in industry because of its criticality to production rate, quality control, and operator safety. Alertness management includes: (a) elimination of factors conducive to alertness decrement, (b) addition of conditions or procedures which enhance alertness, (c) reduction of the consequences of alertness ...
Duggar Bc, Moody Ja
openaire   +3 more sources

Industrial Management in the Process Industry

IFAC Proceedings Volumes, 1998
Abstract The analysis of the differences between production management in process flow and discreet flow industries shows that this differences exist essentially in short and very short terms. The functions in middle and long terms of discreet flow MRP2 systems are usefull in process flow industry.
Samir Lamouri, André Thomas
openaire   +2 more sources

Demotion in Industrial Management

American Sociological Review, 1965
outside his own university have the most effect on a scientist's chances for recognition. Although the data lend themselves to various interpretations, they do not permit a conclusive explanation of the high correlations between academic setting and both productivity and recognition.
openaire   +3 more sources

Public Sector Industrial Relations


The Environment of Public Sector Industrial Relations Unions in the Public Sector Management Organization for Industrial Relations Purposes in the Public Sector Collective Bargaining Coverage and Structure in the Public Sector Bargaining Processes ...
P. B. Beaumont
semanticscholar   +1 more source

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