Despite an explosion of technology in recent decades, tools and processes for managing factory inventories have remained rooted in legacy systems and outdated manual processes. The complexities inherent in managing the modern factory and its supply chain are proliferating, and there’s a growing need for innovation.

Among the most pressing challenges is maintaining optimal inventory levels. The consequences of misaligned inventory can be severe, ranging from production delays and revenue loss due to material shortages to working capital challenges driven by rising excess and obsolete stock. It’s essential to achieve seamless coordination between the supply chain organization and production teams on the factory floor.

A common disconnect exists between strategic planning, often measured in weeks or months, and the daily (or even hourly) operational realities of the factory floor. It’s all too common to see your forecast and operational plan thrown out the window by the reality of the day-to-day factory environment. You have a scrapped part on the last step of the build, a late delivery of a critical component, a sudden shortage due to a safety stock that hasn’t been adjusted in a year. What’s separating sustained success from constant firefighting is a strong link between planning and execution.

To drive this alignment systematically, you need to provide seamless access to normalized data, coupled with prescriptive and targeted analytics. A single source of truth accessible to all stakeholders can significantly enhance decision-making and responsiveness. Key performance indicators such as inventory turns, days of inventory and clear-to-build (CTB) percentage offer valuable insights into operational health. Take CTB: If you focus on maximizing material availability for your weekly material production system, you can help your teams prioritize which suppliers and items to focus on. CTB also helps you respond more reliably to the outputs and changes driven by ongoing fluctuations in your planning cycle. This back-and-forth between your planning output and your CTB reality helps maintain a healthy set of checks and balances between operations and planning.

Equally crucial is facilitating cross-functional collaboration. By breaking down silos between sourcing, factory operations, supply chain and planning teams you foster a shared understanding of objectives, and facilitate a more agile and responsive supply chain. Supply chain excellence is rooted in managing information flow — mirrored to physical flow — and ensuring that the signals flowing are of high quality and accuracy. 

This leads to a final, underlying challenge beneath any supply chain system and process: clean and accurate enterprise resource planning data. Reliable data and high signal quality are fundamental to effective decision-making. Messy ERP data can lead to a cascade of problems — bad demand signals leading to bad supply signals, or inflated or deflated lead times leading to incorrect purchase order dates. This can translate into suboptimal inventory levels and/or production disruptions. A systematic approach to data cleansing, coupled with ongoing data governance, is essential. Start with the basics — lead times, order policies, and basic material requirements planning settings — and build a habit of reviewing periodically.

By enabling access to real-time and high-quality data, fostering collaboration, and aligning teams around shared goals, manufacturers can start to bridge the gap between planning and execution, moving from a reactive, firefighting mode to a proactive stance. This shift enables them to anticipate challenges, optimize inventory, and improve on-time delivery.

Following are some specific strategies that can be employed to ensure material availability and streamline factory operations.

Ensure clear-to-build and inventory visibility. A clear and readily available view of which work orders have all the necessary materials for production is vital. This visibility empowers supply chain, operations, and production teams to prioritize tasks and address the most impactful shortages quickly and proactively. As changes in the longer-term planning cycles cause shifts in day-to-day production requirements, the factory supply chain teams need to react and prioritize as quickly as possible, communicating challenges and blockers back up the chain to planning and simultaneously out to suppliers.

Conduct periodic plan-for-every-part (PFEP) analysis. An ideal PFEP process categorizes items based on value, consumption rate, and other characteristics such as demand profile, volatility and lead time. By aligning strategy and ordering policies with inventory segmentation, businesses can optimize inventory levels and prioritize the availability of critical materials. Revisit this analysis as frequently as business conditions and changes necessitate, likely quarterly or semi-annually.

Optimize safety stock. While maintaining lean inventory is desirable, safety stock for critical items can mitigate the impact of unexpected disruptions. Maximize safety stock budgets based on data-driven analysis (such as PFEP analysis), so as to balance inventory goals with customer delivery targets.

Engage in cross-functional collaboration. Regular communication, data sharing and alignment between sourcing, supply chain, production and planning teams are essential.

Focus on supplier relationship management. Build strong relationships based on mutual trust, clear expectations, and shared goals. Combine those with reliable access to shared data.

Technology is pivotal in enabling real-time data visibility and cross-functional collaboration. Tools that provide a unified view of inventory levels, production priorities and risks and supplier delivery data can significantly improve decision-making and operational efficiency.

Align teams around shared goals and establish a common language for KPIs and metrics. When everyone understands the objectives and how their role contributes to the overall success, it fosters a sense of shared ownership and accountability.

The path to operational excellence in manufacturing is a journey. It requires a commitment to continuous improvement, a willingness to embrace change and new technology, and a focus on data-driven insights.

Manufacturing leaders responsible for maintaining optimal inventory levels should to the following:

• Prioritize data cleanliness and accuracy.
• Foster cross-functional collaboration and communication.
• Invest in technology that enables real-time collaboration, shared visibility and data-driven insights.
• Align teams around shared goals and KPIs.
• Build strong relationships with suppliers based on shared data, mutual trust and bi-directional accountability.
• Embrace a proactive mindset and a commitment to continuous improvement.

The modern manufacturing landscape is challenging, but it’s also ripe with opportunities. By embracing these key takeaways, manufacturers can position themselves for success in the dynamic and competitive global marketplace.

Daniel Taylor is vice president of customer success with LeanDNA.