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In recent months, manufacturers have been forced to navigate a number of macro challenges including a tightening labor market, persistent inflation, and continued constraints on the global supply chain.
This “Triple Squeeze” on performance has impacted every facet of production, resulting in longer lead times and directly impacting businesses’ bottom lines. Now more than ever, manufacturers are looking for ways to combat these challenges and improve efficiency across every stage of production.
In this post, we’ll discuss the importance of measuring lead time and the steps manufacturers are taking to reduce lead time to get products delivered faster.
What is lead time?
Lead time in manufacturing is the amount of time it takes between when an order is placed and when it is ultimately fulfilled. Lead time is an important factor in the overall performance of any manufacturing company since it can directly impact the delivery of products to customers, quality of production, overhead costs, and revenue.
Lead times are generally made up of two components:
The first is usually referred to as “direct time.” Direct time is the time spent by operators and engineers physically working on and assembling the product. This can include processes like machining, assembly, and packaging.
The second component of lead time is the “non-direct time” which includes any other processes like material sourcing, scheduling, transportation, and other logistics.
By breaking down lead time into these two components, manufacturers can better understand what is causing delays and identify bottlenecks and areas where efficiency can be improved.
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The importance of reducing lead times
According to Supply Chain Dive, businesses and their suppliers have faced several months of challenges leading to extended lead times — from port congestion and transportation bottlenecks, to raw material shortages, to labor constraints at the vendor or manufacturer.
It’s no secret that when prospective customers are faced with exceedingly long lead times, they are more likely to look for alternative products or vendors and are ultimately less likely to do business with you in the future.
As a result, lead time reduction is more important than ever to help ensure customer satisfaction and maintain a competitive advantage in your industry.
How to reduce lead time across your operations
As discussed, there are a number of different factors that can impact lead times for a manufacturer. While many elements can be directly measured and improved by manufacturers, some are external factors that the business has very little control over.
For example, constraints around raw materials can significantly impact a manufacturer's ability to fulfill product orders in a timely manner. While the manufacturer can take steps to diversify their suppliers and maintain a surplus of certain raw materials, shortages can be widespread and difficult to overcome.
Despite the macro challenges that can negatively impact lead times, manufacturers must be willing to look at the various opportunities that lie within their own production processes that can help reduce inefficiencies and waste.
Some of the biggest steps you can take to reduce lead time in your manufacturing operations include:
Improve production planning and scheduling: By having a clear and accurate production plan, manufacturers can avoid delays and reduce the amount of time it takes to produce each product. Accurate scheduling allows for better utilization of resources and ensures that each task is completed in the most efficient order, minimizing the time it takes to produce each product.
Streamline production processes: By analyzing and optimizing each step of the manufacturing process, manufacturers can identify areas of inefficiency and begin taking steps to correct them. This includes identifying and eliminating bottlenecks, reducing points of friction within the assembly process, and improving equipment utilization.
Implement lean manufacturing principles: Lean manufacturing principles focus on eliminating waste, reducing lead times, and improving efficiency. By implementing lean principles, manufacturers can improve the overall efficiency of their operations, reduce lead times, and improve product quality.
Reduce setup and changeover times: Setup and changeover times can be a major source of delays in manufacturing. By reducing the time it takes to set up equipment for a new production run or changeover to a different product, manufacturers can significantly reduce lead times.
Automate manual, repetitive tasks: Automation and robotics can significantly reduce the amount of time it takes to perform repetitive tasks, such as assembly, packaging, and quality control. By automating existing processes, manufacturers can reduce lead times, improve product quality, and reduce labor costs.
Improve supply chain management: Improving supply chain management can be crucial to helping reduce the time it takes to receive raw materials, components, and other inputs. This includes improving communication with suppliers, reducing lead times for orders, and optimizing inventory levels to ensure that materials are available when needed.
Implement continuous improvement processes: Continuous improvement processes involve analyzing operations on an ongoing basis and identifying areas for improvement. By implementing continuous improvement processes, manufacturers can identify and address issues that are causing delays and reduce lead times over time.
Each of these tips can help reduce manufacturing lead times by improving efficiency, reducing delays, and optimizing processes. By implementing these tips, manufacturers can improve their operations, reduce costs, and improve customer satisfaction.
How Tulip helps manufacturers reduce lead times and improve efficiency
Tulip’s cloud-based platform was purpose-built to help manufacturers across industries track production and reduce lead times by automating data collection, helping businesses identify opportunities for improvement across their operations.
Using Tulip, manufacturers are able to:
Monitor operations in real-time: Tulip provides real-time visibility into their operations by collecting data from their machines, sensors, and operators. This data can be used to monitor production progress, identify bottlenecks and delays, and make adjustments to production schedules and workflows as needed.
Track progress to goal: Tulip's data analytics tools can help manufacturers identify trends, patterns, and areas for improvement in production operations. By analyzing production data, manufacturers can identify bottlenecks, optimize workflows, and reduce lead times.
Digitize work instructions and automate workflows: Tulip can be used to create interactive work instructions with rich media and native IoT integrations. By providing operators with clear, standardized instructions, manufacturers can reduce errors, improve quality, and reduce the time it takes to complete each task.
Additionally, Tulip can be configured to automatically send alerts to supervisors when certain tasks are completed or when issues arise.
Quality control and defect tracking: By leveraging inline quality checks, Tulip can be used to track defects and quality control metrics in real-time. By identifying defects early in the production process, manufacturers can reduce scrap rates, improve quality, and streamline quality management practices.
If you’re interested in learning how Tulip can be used to reduce lead times and improve efficiency, reach out to a member of our team today!
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