HOW ACCURATE IS YOUR DATA? AUTOMOTIVE INDUSTRY SUPPLY CHAINS COLLIDING WITH LOGISTICS IN WESTERN ROMANIA

1 TURI Attila
Institution:
1 https://doi.org/10.37904/clc.2023.4815
Conference:
CLC 2023 - Carpathian Logistics Congress, Wellness Hotel Step, Prague, Czech Republic, EU, November 8 - 10, 2023
Proceedings:
Proceedings CLC 2023 - Carpathian Logistics Congress
Pages:
13-19
ISBN:
978-80-88365-17-4
ISSN:
2694-9318
Published:
10th April 2024
Metrics:
11 views / 19 downloads
Abstract

The purpose of this paper was to emphasize the importance of data accuracy within internal logistics systems and their extended influence on supply chains in automotive industry through a 6 month case study conducted on 3 first tier original equipment manufacturers (OEM) based in Western Romania.Data collection and analysis revealed that main issues arise due to ordering quantities mismatching actual customer demand, a wide range of order lot sizes, lead times and delivery reliability concerns and the reluctance to shift away from mainstream cost-effectiveness and towards strategic added value thinking. These issues sourced significant other related operational challenges such as excessive inventory, short-term stockouts and subsequent express shipping services or product-related inconveniences (quality and capacity levels, contracted volumes and dedicated lines).The paper sources different logistics and supply chain approaches used by the 3 OEMs, their features and operational performance, as well as their overall effectiveness which can be applied by other automotive industry suppliers to improve own results. Introducing more reliable real-time data collection tools and performance metrics has started hauling more focus towards solving these prevalent issues with some ongoing improvement projects showing up to 25% better results. For one of the 3 OEMs introducing a new warehouse management system has already sourced an overall quality increase (5 percentage points) due to a 60% higher utilization of its production equipment.

Keywords: data accuracy, operational performance, logistics, supply chain management

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top