Interim Management by the Numbers
The Customer
Medium-sized Tier 2 automotive supplier
The client is a medium-sized foundry that serves as a Tier 2 supplier to the automotive industry. Following a lengthy period of insolvency, the company had recently changed hands and was faced with the urgent task of stabilizing operations as quickly as possible. There were significant shortcomings within the organization: inadequate analog data collection, a lack of systematic optimization approaches across the entire production process, and an outdated machine park led to considerable inefficiencies and losses of equipment, tools, and fixtures. The low overall equipment effectiveness resulted in significant delivery backlogs, which jeopardized the company’s market position and made short-term consolidation and restructuring urgently necessary.
The Project
Interim Management to Ensure Transparency and Stability
The goal of the interim management was to immediately establish transparency regarding equipment data, production metrics, and OEE loss types. Based on these findings, the plan was to improve OEE by reducing organizational, technical, and quality-related losses and to increase efficiency in management and processes in order to sustainably reduce the backlog of orders.
KBC first established a systematic process for collecting and analyzing all relevant operational data to gain transparency into the types of losses and inefficiencies occurring. Based on this data, areas requiring action were prioritized, and fact-based optimization activities were identified. Through targeted measures, the consulting team increased plant availability as well as the efficiency of control systems and business-critical processes. Particular emphasis was placed on reducing technical, organizational, and quality-related losses along the entire value chain in order to significantly increase OEE.
The result
Interim management increased OEE, established transparency, and stabilized business operations
Throughinterim management, KBC achieved a 20 percent increase in OEE. Establishing complete transparency across all production data made it possible to successfully develop fact-based optimization measures. Types of losses occurring in machines, tools, and fixtures, as well as inefficiencies in processes, were identified and addressed as a priority.
Plant availability and the efficiency of control and manufacturing processes were significantly improved. The optimizations implemented contributed significantly to the stabilization and sustained improvement of business operations. The backlog of orders was successfully reduced, and the company’s competitiveness was restored.
















