TY - GEN
T1 - To develop Lean Systems in Electronic Automotive Parts Manufacturing Industry
T2 - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
AU - Shetty, Dasharathraj K.
AU - Abakari, Gautami
AU - Rodrigues, Dr Lewlyn L.R.
AU - Oommen Mathew, Asish
AU - Motlagh, Farahnaz Golrooy
PY - 2019/4/1
Y1 - 2019/4/1
N2 - The Electronic Automotive parts manufacturing company produces different types of components that are stored in different buffers. Kanban method is the most standard control methods in practice. The alternative method for this would be Heijunka approach or the production levelling approach which focuses on neutralizing the demand variation. A dynamic systems approach is proposed in this paper to investigate the challenges of implementing production levelling. A model is developed using system dynamics to stabilize the production units. The results obtained in this paper illustrate the concept of Heijunka which helps reduce the fluctuation in the upstream supply chain. Converting of uneven customer demand into predictable manufacturing process leading to better results in the buffers and maintaining minimal inventory is a challenge to be tackled effectively, which has been considered in this research to be the primary objective. The research has resulted in the backlog reduction strategy at the two strategic locations, smoothening of shipment rate, meeting of the desired production rate, better anticipating of order rate, minimization of inventory, better order fulfilment rate, and faster production adjustment.
AB - The Electronic Automotive parts manufacturing company produces different types of components that are stored in different buffers. Kanban method is the most standard control methods in practice. The alternative method for this would be Heijunka approach or the production levelling approach which focuses on neutralizing the demand variation. A dynamic systems approach is proposed in this paper to investigate the challenges of implementing production levelling. A model is developed using system dynamics to stabilize the production units. The results obtained in this paper illustrate the concept of Heijunka which helps reduce the fluctuation in the upstream supply chain. Converting of uneven customer demand into predictable manufacturing process leading to better results in the buffers and maintaining minimal inventory is a challenge to be tackled effectively, which has been considered in this research to be the primary objective. The research has resulted in the backlog reduction strategy at the two strategic locations, smoothening of shipment rate, meeting of the desired production rate, better anticipating of order rate, minimization of inventory, better order fulfilment rate, and faster production adjustment.
UR - https://www.scopus.com/pages/publications/85070585368
UR - https://www.scopus.com/pages/publications/85070585368#tab=citedBy
U2 - 10.1109/ICACTM.2019.8776803
DO - 10.1109/ICACTM.2019.8776803
M3 - Conference contribution
T3 - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
SP - 277
EP - 283
BT - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 April 2019 through 26 April 2019
ER -