| Issue |
E3S Web Conf.
Volume 135, 2019
Innovative Technologies in Environmental Science and Education (ITESE-2019)
|
|
|---|---|---|
| Article Number | 04049 | |
| Number of page(s) | 5 | |
| Section | Environmental Planning and Environmental Education | |
| DOI | https://doi.org/10.1051/e3sconf/201913504049 | |
| Published online | 04 December 2019 | |
Agile project management in lean environment
1
Vyatka State University, 36, Moskovskaya str., Kirov, Russia
2
Moscow State University of Civil Engineering, 129337, 26, Yaroslavskoye Shosse, Moscow, Russia
* Corresponding author: angela-1309.m@yandex.ru
The article discusses the possibility of integrating the traditionally opposed approaches of Agile and Kanban in the management of large manufacturing enterprises. The aim of the study is to develop a new algorithm for the implementation of lean production via formation of small work groups that operate based on Scrum methodology. Authors have classified famous approaches to lean manufacturing implementation, identified general patterns, and proposed a new integrated approach. The developed algorithm helps to launch lean production at a large enterprise in a most efficient way, quickly involve personnel in the change process, and identify change leaders. Agile frameworks in lean management support to get a specific result in a short time and make quick adjustments to scheduled plans.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.