Diplomarbeit, 2004
105 Seiten, Note: 1.3
This work focuses on optimizing the production process in automobile manufacturing, specifically addressing the challenges of sequencing and sorting in just-in-time production. The primary aim is to improve efficiency by minimizing color changes in the paint shop while simultaneously ensuring the fulfillment of assembly shop requirements.
Just-in-time production, assembly line balancing, color change reduction, buffer optimization, re-sorting, complexity analysis, solution approaches, computational results, plant layout, routing patterns, real-world applications.
JIT is a production strategy that aims to improve efficiency by receiving goods only as they are needed in the production process, reducing inventory costs.
Every color change requires cleaning the spray jets, which takes time, wastes material, and causes pollution. Minimizing these changes saves significant costs.
It involves scheduling the sequence of cars so that different installation options (like sun-roofs or AC) are distributed evenly, ensuring resources and time are used optimally.
A buffer acts as a re-sorting mechanism between different production stages (e.g., between the paint shop and the assembly shop) to optimize the sequence for each stage's specific requirements.
Many scheduling and balancing problems are NP-complete, meaning they are mathematically complex and require heuristic or exact algorithmic approaches to find efficient solutions.
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