Optimization of WIP and buffer spaces in the production process – Analysis of the interior, cabin, and IPT carriers
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Dynamic Simulation: Efficiency, Stability, and Optimized Material Flow in Container Production

Correct buffer dimensioning was a key success factor for stable, high-performance operations in container production. This is particularly relevant where a powder coating system for container finishing is integrated into the overall process, creating a convergence of competing requirements: changing color programs, varying takt and cycle times, and highly interdependent process steps. 
A successfully completed reference project confirmed how this complexity can be mastered through dynamic simulation. The objective was to design the container production process, including the integrated powder coating system, for process reliability, and to place investment decisions on a solid, data-driven foundation. 

 

Initial Situation: Conflicting Statements Without Verifiable Evidence 

In this project, the client engaged multiple suppliers for different areas of the system. Each supplier confirmed that the buffer areas planned within their respective scope were adequately sized. However, these assessments were based solely on the individual suppliers’ empirical experience. 
What was missing: 

  • Transparent, traceable calculations 
  • Objective verification 
  • A cross-system view of the entire process chain 

Against the backdrop of a total investment volume in the double-digit million range, this lack of transparency did not provide a sufficient basis for decision-making. As a result, growing uncertainty arose regarding the actual design of the production and buffer processes. 
 

 

Dynamic Simulation as an Objective Decision-Making Tool 

To resolve this uncertainty, MPC deployed a dynamic simulation that mapped the real process logic of the container production line in full detail, including the integrated powder coating system. The following factors were accounted for: 

  • Color changes and changeover operations 
  • Fluctuating takt and cycle times 
  • Varying production programs 
  • Real handover and transport logistics 

The decisive advantage was that the simulation did not rely on idealized assumptions -instead, it modeled the actual system behavior under realistic operating conditions. 

 

Analysis Instead of Assumptions: The Key Insight 

At the start of the project, the client already had a general understanding of the powder coating process and the associated changeover procedures. These assumptions initially served as the planning basis. 
During the detailed process simulation, however, it became evident that the originally assumed changeover and color-change operations would have exceeded the available buffer capacity by more than 200%. 
This made it objectively clear for the first time that: 

  • The previous assumptions were not reliable 
  • The existing buffer areas would have been insufficient under these conditions 
  • An experience-based planning approach alone would have represented a significant project risk and would not have been operationally viable 

 

Structured Simulation Methodology 

Starting from the complete production layout, all relevant process steps were analyzed: from container infeed, through coating in the powder system, to the oven, buffer zones, and transport systems. 

 
The key areas of investigation in the project were: 

  • Calculation of realistic throughput times across various production and color programs 
  • Analysis of the impact of takt and cycle times on material flow 
  • Development and evaluation of optimized changeover and color-change sequences 
  • Derivation of appropriate batch sizes for different production scenarios 

 
The simulation thus demonstrated not only whether the process was fundamentally feasible, but, more importantly, how stably it would perform under real production conditions. 

 

Validating the Planned Process Flow 

By simulating the complete process chain, dependencies and potential bottlenecks were identified at an early stage. The simulation clearly revealed: 

  • Where buffer zones for color changes were required 
  • Which process steps were particularly sensitive to takt time variations 
  • Whether the planned process flow was sufficiently robust for series production 
  • On this basis, targeted adjustments to sequencing, takt timing, and batch sizes were made before the system was finalized and commissioned. 

 
A significant added value for the client was the reliable, simulation-based verification of actual space requirements. The simulation showed precisely how many containers were present simultaneously in the system during peak periods, particularly in the buffer zones before and after the powder coating system. 

 
The results enabled: 

  • Realistic dimensioning of all buffer areas 
  • Avoidance of both over- and under-dimensioning 
  • A well-founded structural design of the powder coating system 

 
This prevented costly rework in later project phases. 

 

Transparent Analysis of System Utilization 

In addition, the results provided a clear and traceable evaluation of the utilization of all relevant system areas within the container production: 

  • Identification of critical load peaks 
  • Assessment of utilization stability for the powder booth, oven, and transport system 
  • Determination of existing capacity reserves and potential bottlenecks 

Specific project results were: 

  • Powder booth utilization: approx. 85% 
  • Oven utilization: approx. 70% 
  • Transport system utilization: > 90% 

This level of transparency enabled a process-reliable and resource-efficient design of the integrated overall system. 

 

Informed Investment Decisions Through Clear Analytical Results 

The simulation provided a precise picture of how the system performs under realistic conditions and which parameters are critical. Key outcomes included: 

  • Validation of a major capital investment project through reliable simulation data 
  • Proof of technical feasibility across the entire process flow 
  • Substantiated justification of the required floor space and system size 
  • Assurance of the required daily production output 
  • Transparent representation of the utilization of all major system components 
  • Derivation of appropriate batch sizes and efficient changeover strategies 

The client received a reliable, data-backed basis for decision-making that minimized risks and secured the successful commissioning of the system. 

 

Conclusion 

Dynamic simulation proved to be the central tool in this project for the successful planning of a container production facility with an integrated powder coating system. It demonstrated not only whether the system concept was technically feasible, but also how efficiently, stably, and robustly it would operate under real conditions. 
The decisive added value lay in replacing experience-based assumptions with objective, data-driven insights, making a complex production system fully transparent, enabling early risk identification, and securing a double-digit million investment on a sustainable basis. 
 


Would you like to explore this topic further within your organization or do you have any questions?
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