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Conquering Logistics Challenges for Optimal Quality Output

As technology continues to evolve, the integration of innovative solutions will be essential for driving future growth and success in the manufacturing industry.

By Justin Newell
Industrial man and woman engineer with laptop in a factory, working.

Image Source: Halfpoint / iStock / Getty Images

October 27, 2024

The escalating demands of today’s manufacturing landscape, marked by increasing product variety, shorter lead times, and rising customer expectations, require intralogistics solutions that are both agile and efficient. In fact, this trend is evident on a global scale, with the worldwide intralogistics market projected to grow from USD 43.13 billion in 2023 to USD 115.92 billion by 2030. Traditional management systems struggle to keep pace with these evolving needs. To meet the challenges head-on, manufacturers must adopt scalable and modular intralogistics systems that can seamlessly adapt to changing production requirements, optimize resource utilization, and deliver exceptional quality.

Insufficient components can halt production or force the use of substitutes, potentially causing malfunctions or safety hazards. For example, if the right material or parts are not on hand, one may perhaps use a screw with an incorrect thread pitch or length, which could lead to a loose or broken joint, compromising product integrity and functionality. A poor result can occur if defective materials are used because they can introduce weaknesses or malfunctions into the final product, reducing its reliability and performance.

Optimizing Material Flow for Quality

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Logistics systems can adapt to growing demands and maintain consistent quality levels as production increases. They can ensure materials are not delayed, which could disrupt production flow, leading to rushed assembly or improper production processes – impacting a product’s finish and durability. It is also important to have flexibility in the system because it will allow for adjustments to accommodate changes in product requirements or production processes, which can positively influence quality. Essentially, by ensuring smooth and efficient operations, such systems ultimately support the production of higher-quality products and a more productive and fulfilled workforce.

Complex production processes demand precise in-house logistics to manage the increasing variety of components. Optimal coordination of material flow is essential for delivering the correct materials in exact quantities with impeccable quality, precisely when needed, while minimizing costs and the risks for downtime. The increasing complexity of products leads to a wider range of components, which requires precise demand planning and inventory management to ensure the correct parts are available. Parts must arrive at the production line exactly when needed to maintain production flow and prevent delays that can impact quality and customer satisfaction. The right quantity of high-quality materials is critical to prevent production stoppages due to shortages or defects.

Driving Cost Savings and Quality Improvement

Efficient logistics reduces waste and costs, which can be reinvested in quality control measures and future proofing operations. By ensuring that the right materials are available at the right time, in the right quantity, and of the right quality, in-house logistics plays a pivotal role in preventing defects, reducing rework, and results in an improvement in overall product quality and consumer confidence. These examples illustrate a few of the scenarios that can impact quality.

However, with intralogistics management systems, production and logistical processes are synchronized. Real-time scheduling enables transparent transport control, where planners can react quickly and appropriately to unforeseen events. With our years of experience in this area, cost reductions and the effective use of transport resources for in-plant logistics can reach upwards of 30%, which often translates to thousands of dollars in savings monthly. Such systems can ensure continuous and secure production supply and more reliable on time delivery performance.

Case in Point: World’s Leading Manufacturer of Agricultural Machinery

CLAAS provides agricultural machinery (including combine harvesters, self-propelled forage harvesters, and system tractors) and had a dire need for intelligent logistics and a transport control system to manage increasing internal material flow complexity for combine and forage harvesters. They have produced over 400,000 combine harvesters and currently manage a complex production process involving an average of 8,200 daily internal transports of materials, components, and supplies within its assembly facility.

To optimize this vast internal material flow, which was previously handled manually, CLAAS implemented an intelligent transport control system that utilizes advanced algorithms to streamline operations, minimizing empty runs, ensuring timely deliveries, and maximizing resource utilization. By analyzing transport orders generated by the ERP system or manually, the system uses artificial intelligence (AI) and mathematical optimization models to calculate optimal routes based on various constraints, providing a comprehensive overview and control of factory traffic. This internal material flow is carried out by forklifts, tractors, or tugger trains. “Paper-based transport orders are no longer feasible at this scale,” according to Andreas Lonnemann, project engineer for production logistics at CLAAS. “It has become essential for us to achieve efficient production logistics.”

Overcoming Production Challenges with Intelligent Logistics

The system’s intelligent capabilities are crucial for handling the increasing complexity brought on by the consolidation of two production lines into a single, optimized facility. This centralization has led to a surge in internal transports, demanding more precise deliveries of smaller material quantities. Moreover, the growing size, complexity, and customization of agricultural machinery have expanded the parts range. To maintain production flow, critical components and assemblies must reach the assembly line within 20 minutes, adhering to strict sequence requirements.

CLAAS has been enhancing flexibility and safety by transitioning from forklifts to tugger trains. Roller storage systems enable faster operations and reduce accident risks, according to CLAAS’ production team. However, the unique loading configurations of tugger trains present planning challenges. Incorrect loading can severely impact efficiency. The factory can address this by optimizing routes, such as considering loading door positions and one-way traffic restrictions.

This level of optimization aligns with the plant’s sustainability goals. By reducing reliance on diesel-powered forklifts, the company improves air quality and minimizes noise pollution. Most of the fleet is now electric, while the system also manages the remaining diesel transports to external areas.

Building Resilience and Adaptability Through Intelligent Logistics

Unexpected disruptions such as illnesses and delivery delays are inevitable in business. However, the system empowers the team to effectively manage these challenges. Andreas explains, “Dispatchers can quickly prioritize urgent transports manually, and the system’s intelligent algorithms automatically reassign tasks to available resources, ensuring timely delivery.”

Cloud-based access enhances flexibility and efficiency, especially during staffing shortages or with remote work. Users can log in from anywhere to monitor operations and make adjustments, minimizing errors and optimizing workflows.

Ease of use has also played a key role. On-site support during critical implementation phases ensured not only adherence to the project timeline but also swift resolution of technical issues. After just a few days of training, this manufacturer had their 45 transport department employees quickly become very proficient in using the new software and hardware, and they were pleased to have their operations run smoothly.

In Conclusion

By implementing advanced intralogistics management systems, manufacturers can significantly enhance operational efficiency, reduce costs, and elevate production quality. Through intelligent optimization of material flow, resource allocation, and process synchronization, businesses can gain a competitive edge in today’s demanding market. As technology continues to evolve, the integration of innovative solutions will be essential for driving future growth and success in the manufacturing industry.

These systems create a robust foundation for efficient production, minimizing errors and defects while maximizing output. Ultimately, the seamless integration of intelligent logistics solutions empowers manufacturers to deliver exceptional products that exceed customer expectations.

KEYWORDS: continuous improvement manufacturing metrology

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Justin Newell, CEO of INFORM North America, is committed to ethical AI practices, sustainable customer relations. His company provides Artificial Intelligence (AI) for business operations that incorporates digital decision-making, agile optimization and smart resource management. Justin contributes extensive leadership and AI industry experience across multiple diverse industries and manufacturing disciplines. 

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