TY - JOUR
T1 - Improving the Supply Chain Performance of an Electronic Product-Manufacturing Organisation Using DMAIC ApproacH
AU - Makinde, Olasumbo
AU - Selepe, Refentse
AU - Munyai, Thomas
AU - Ramdass, Kem
AU - Nesamvuni, Alufeli
N1 - Publisher Copyright:
© 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
PY - 2022
Y1 - 2022
N2 - With an ever-growing demand for electronic products around the globe, electronic product-manufacturing organisations are seeking suitable strategies to improve the efficiency of their supply chain processes. Hence, this study seeks to reduce process wastes and exploit bottlenecks present within the supply chain processes of an electronic product-manufacturing organisation. In light of this, lean supply chain strategies premised on the DMAIC methodology were unveiled and validated using a discrete-event simulation approach. We value streamed the supply chain system of an electronic product manufacturing organisation, identified the root causes of the process wastes and inefficiencies present in the organisation’s supply chain and thereafter, identified suitable strategies capable of eliminating these process wastes and inefficiencies based on experts’ opinions obtained during a focus group discussion forum. As a result of this exercise, three types of process wastes were identified and reduced. The simulation results of this study revealed that the idling time experienced at the workstations, and WIP (Work-In-Progress) inventories present within the supply chain system of this organisation, would be reduced by 7.6% and 81.41% respectively while the overall workstations utilisation would be improved by 9.32%, if the supply chain improvement strategies proposed by the authors are implemented at the electronic product-manufacturing organisation considered in this study. In addition, the total non-value added time would also reduce by 63.89 days, thereby having a potential of improving the throughput and the process cycle efficiency of the supply chain system proposed for use, to the organisation by 63% and 8.82%, respectively.
AB - With an ever-growing demand for electronic products around the globe, electronic product-manufacturing organisations are seeking suitable strategies to improve the efficiency of their supply chain processes. Hence, this study seeks to reduce process wastes and exploit bottlenecks present within the supply chain processes of an electronic product-manufacturing organisation. In light of this, lean supply chain strategies premised on the DMAIC methodology were unveiled and validated using a discrete-event simulation approach. We value streamed the supply chain system of an electronic product manufacturing organisation, identified the root causes of the process wastes and inefficiencies present in the organisation’s supply chain and thereafter, identified suitable strategies capable of eliminating these process wastes and inefficiencies based on experts’ opinions obtained during a focus group discussion forum. As a result of this exercise, three types of process wastes were identified and reduced. The simulation results of this study revealed that the idling time experienced at the workstations, and WIP (Work-In-Progress) inventories present within the supply chain system of this organisation, would be reduced by 7.6% and 81.41% respectively while the overall workstations utilisation would be improved by 9.32%, if the supply chain improvement strategies proposed by the authors are implemented at the electronic product-manufacturing organisation considered in this study. In addition, the total non-value added time would also reduce by 63.89 days, thereby having a potential of improving the throughput and the process cycle efficiency of the supply chain system proposed for use, to the organisation by 63% and 8.82%, respectively.
KW - bottleneck
KW - Electronic Product-Manufacturing Organisation
KW - process waste
KW - Supply chain
UR - https://www.scopus.com/pages/publications/85124038953
U2 - 10.1080/23311916.2021.2025196
DO - 10.1080/23311916.2021.2025196
M3 - Article
AN - SCOPUS:85124038953
SN - 2331-1916
VL - 9
JO - Cogent Engineering
JF - Cogent Engineering
IS - 1
M1 - 2025196
ER -