%0 Conference Proceedings
%T Heijunka 4.0 – Key Enabling Technologies for Production Levelling in the Process Industry
%+ Department of Industrial Economics and Technology Management
%+ SINTEF Manufacturing AS [Raufoss]
%+ Norwegian University of Science and Technology (NTNU)
%A Kjellsen, Håkon, S.
%A Ramillon, Quentin
%A Dreyer, Heidi, C.
%A Powell, Daryl
%Z Part 10: The Future of Lean Thinking and Practice
%< avec comité de lecture
%@ 978-3-030-85873-5
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-630
%N Part I
%P 704-711
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85874-2_77
%K Process industry;Lean production;Industry 4.0
%Z Computer Science [cs]Conference papers
%X This paper investigates how lean production levelling methods can be better applied in the process industry with support from key enabling technologies from Industry 4.0. To investigate such a topic, a literature study is conducted in three main areas, namely production planning in the process industry, Lean Production, and Industry 4.0. Based on the findings from the literature review, a conceptual framework is developed to illustrate the ability of Internet of Things, Big Data Analytics, and the further integration of IT systems to provide increased reliability for materials, processes, equipment, and forecasts that improves the utilization of Heijunka (production levelling) practices in the process industry.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-04030355/document
%2 https://inria.hal.science/hal-04030355/file/509923_1_En_77_Chapter.pdf
%L hal-04030355
%U https://inria.hal.science/hal-04030355
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-630