Reducing Lead Time by 10% for a Multinational Discrete Manufacturer

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Locations

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Production Lines

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Employees

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Revenue

In the complex arena of discrete manufacturing for appliances and automotive sectors, a prominent multinational company with 200 employees and a 30 million EUR revenue stream faced a series of significant challenges. This case study delves into how the strategic implementation of QLECTOR’s solutions turned these challenges into opportunities for growth and savings.
Challenges
The producer turned to QLECTOR for a comprehensive solution that included:
Economic Pressures

The rising minimum wage for assembly workers posed financial strains.

Product Diversity

Managing a vast array of 2000 different products with 1500 work orders daily, ranging from 10 to a million items per order, added complexity to production planning.

Inefficiency in Lead Times

Long and unpredictable lead times impeded the ability to meet demand promptly.

Manual Labor Allocation

The manual scheduling of workers to assembly cells was time-consuming and prone to errors.

Inventory Excess

A significant amount of intermediate inventory indicated a mismatch between production and demand.

The producer turned to QLECTOR for a comprehensive solution that included:
Predictive Analytics

Implementing tools to forecast realistic lead times from real-time data.

Workforce Management

Optimizing the scheduling of workers, significantly reducing production time.

Cost Visualization

Employing visual tools to understand the opportunity costs associated with intermediate inventory levels.

<span data-metadata=""><span data-buffer="">The producer turned to QLECTOR for a comprehensive solution that included:
Lead Time Reduction

The company achieved a 10% decrease in lead times.

Financial Savings

An impressive 135,000 EUR was saved annually due to increased efficiency and reduced waste.

Production Uplift

The visualization tools provided insights that helped improve the allocation of workers to tasks, leading to a more streamlined production process

Time saved

A graphical representation of worker efficiency before and after the implementation illustrates the enhancement in productivity, with a notable difference of almost 1 hour (0,5) saved per worker.

Conclusion

This multinational company’s experience with QLECTOR serves as a powerful example of how digital transformation can address fundamental issues in production environments. By leveraging QLECTOR’s predictive and visual tools, the company not only achieved significant economic savings but also enhanced its operational efficiency and agility.

Keep following our use cases and blog posts to explore more about how innovative scheduling solutions are making waves in various sectors and driving companies toward a more efficient future.

Matjaž Roblek, Supply Chain Director at DOMEL, attested to the advantages brought by QLECTOR LEAP, which automated the planners’ work and managed a larger number of machines more effectively, leading to a 10% improvement in inventory lead times.

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