Luke Dyer, Author at Peak https://peak.ai Mon, 25 Nov 2024 09:54:48 +0000 en-GB hourly 1 https://wordpress.org/?v=6.8.3 https://assets.peak.ai/app/uploads/2022/05/25155608/cropped-Peak-Favicon-Black%401x-32x32.png Luke Dyer, Author at Peak https://peak.ai 32 32 AI-powered production planning: maximizing manufacturing efficiency https://peak.ai/hub/blog/ai-powered-production-planning-maximizing-manufacturing-efficiency/ Mon, 25 Nov 2024 09:19:31 +0000 https://peak.ai/?post_type=blog&p=67283 The post AI-powered production planning: maximizing manufacturing efficiency appeared first on Peak.

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Luke Dyer

Senior Product Manager

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Author: Luke Dyer

By Luke Dyer on November 25, 2024

Manufacturers today are operating in an uncertain environment, dealing with geopolitical tensions, climate change and rising costs.

This means it’s more important than ever for manufacturers to find ways of improving efficiency and controlling costs.

Current production planning methods can be highly time consuming, relying on manual or rules-based processes that are inefficient, ever-changing and prone to human error.

Traditional production planning struggles to accommodate dynamic factors like changing demand, limited warehouse capacity, fluctuating raw material availability and varying production capacity. With demand difficult to predict and production levels difficult to adjust, common issues include overproduction and waste, or stockouts and missed sales.

Introducing AI-powered Production Planning from Peak

Production Planning is a key new capability within Peak’s Inventory AI product. It bridges the gap between finished goods inventory management (Dynamic Inventory), raw material management (Reorder) and the effective stocking of products.

What does Peak’s Production Planning software do?

Production Planning generates AI-powered production plans, with intelligent machine learning algorithms determining precisely what to manufacture, how much and when. These take into account business-specific guardrails and processes, as well as highly-relevant factors, such as demand forecasts, stock levels, production capacity and production cycle times.

It allows businesses to optimize their production efficiency, recommending daily or weekly production quantities and providing product prioritization suggestions — all aimed at enabling manufacturers to meet customer demand while minimizing their stock holding costs. With a customizable planning window that extends months in advance, businesses can effectively manage raw material procurement, labor planning and other preparations.

What are the benefits of Production Planning?

Production Planning ensures that the right products are available at the right time, improving service levels and ensuring customer expectations are met in the most efficient way. And, by reducing wastage that occurs through overproduction and missed sales from underproduction, manufacturers will benefit from increased profit margins and more sustainable production processes.

It also keeps manufacturers one step ahead of their competition, ensuring that customer demand can be met ahead of competitors. Increased agility from AI-powered production planning means that businesses can quickly adapt to changing demand and gain a competitive advantage.

How does Production Planning work?

This exciting new Inventory AI capability leverages sophisticated machine learning algorithms to analyze historical data, current real-time signals and a wide range of external factors to produce accurate demand forecasts and optimal production recommendations. Its key features include…

  • AI-powered recommendations: Peak’s AI provides clear guidance on production quantities, schedules and product prioritization
  • Configurable planning: Businesses can set the granularity of their production plans (daily or weekly) and customize the planning horizon to align with their specific needs
  • Easy-to-use interface: The intuitive interface provides visibility into key production KPIs, allowing users to easily monitor and adjust plans
  • Seamless integration: Production Planning integrates directly with existing ERP and other business systems for streamlined data flow and execution

Peak’s Production Planning capabilities empower manufacturers to move beyond outdated and inefficient planning methods. By harnessing the power of AI, businesses can now optimize their production processes, improve service levels, reduce waste and ultimately drive greater profitability.

See AI for Production Planning in action

Get in touch to set up a quick demo with our team of specialist Inventory AI experts.

FAQs

What is production planning software in manufacturing?

Production planning software helps manufacturing companies figure out how much stock to make, taking into account various factors such as fluctuating demand, changing stock levels, unpredictable lead times, warehouse capacity and much more.

This type of software is becoming increasingly essential for any company that manufactures its own goods, because it allows them to create a production plan that ensures they can meet demand without under or overproducing. In short, production planning software creates a data-driven production plan to assist with decisions on what to produce, how much and when.

What’s the difference between production planning and production scheduling?

Production planning focuses on the “what” and “how much” of production, while production scheduling deals with the “how” and “when”. 

Imagine a bakery that produces different types of bread. Production planning would determine how many loaves of each type of bread to bake each day, considering factors such as:

  • Predicted demand for each type of bread
  • Available ingredients and their lead times
  • The bakery’s overall production capacity
  • The desired level of stock to hold for each type of bread

The production plan might state that the bakery should produce 500 loaves of white bread, 300 loaves of whole wheat bread, and 200 loaves of rye bread on a specific day.

Production scheduling, on the other hand, would then take this plan and break it down into more detailed instructions, such as:

  • Which ovens to use for each type of bread
  • The order in which to bake the different types of bread to minimize changeover times
  • The specific start and end times for baking each batch of bread

The production schedule would dictate that the white bread should be baked first in oven #1, followed by the whole wheat bread in oven #2 and finally the rye bread in oven #1 again. The schedule would also specify the exact times for mixing the dough, proofing the loaves, and baking them.

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Dynamic Inventory: now 300% faster! https://peak.ai/hub/blog/dynamic-inventory-now-300-faster/ Thu, 26 Oct 2023 12:57:16 +0000 https://peak.ai/?post_type=blog&p=61407 The post Dynamic Inventory: now 300% faster! appeared first on Peak.

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Portrait of author Luke Dyer
Luke Dyer

Senior Product Manager

See All Posts

Author: Luke Dyer

By Luke Dyer on October 26, 2023

Since Peak launched our flagship Dynamic Inventory AI application in 2022, global supply chain volatility has made careful management of inventory levels as important as ever.

Thanks to its ability to combine SKU and location-level demand forecasting with our innovative approach to setting safety stock levels, businesses such as Speedy have used Dynamic Inventory to reduce their overall stock holdings whilst maintaining availability levels to meet the needs of their business.

Dynamic Inventory version 2.0 is 300% faster

We know that the increased adoption of AI in business is not solely about the development of new and improved models and algorithms (although that helps!) — but it’s also about ensuring that you can deliver value at pace into an organization.

Our safety stock models drive huge value for all our customers, allowing us to ensure that you have the right stock, in the right place, at the right time to maximize stock availability whilst minimizing stock on hand. Through improvements and optimizations to the underlying pipelines, v2.0 of the application delivers a 300% improvement in processing time. This allows Dynamic Inventory to easily process 100,000s of SKUs, ensuring that no matter how many products you carry, Peak’s AI application can handle the load.

Now on Press

In October 2022, at AltitudeX in Manchester, we launched Library and Press, a composable AI framework which now provides the backbone of our AI applications. They allow you to deploy the infrastructure and tooling you need for your applications in days not months, getting value into the hands of your teams quickly.

We’re delighted to announce that, with the latest release of our Dynamic Inventory AI application, you can now deploy everything you need to get started directly from Library.

We have migrated the Dynamic Inventory application front end onto our Peak application framework, bringing improvements in speed and responsiveness across the whole application. This provides optimized data visualization and interaction options to ensure that business users can quickly review their entire product set, easily filtering for SKUs that are under or overstocked whilst providing functionality to dig into the underlying SKU-level forecasts to understand the outputs.

Service level insights at category level

The ability to understand your service levels across your product suite is key to ensuring you have the right stock levels for your business. As part of a recent feature update, we’ve added the ability to optimize those service levels at the category level, giving you additional granularity in setting the right levels for your business.

For example, it allows you to group your products so you can apply a higher service level to your core range to maximize availability, whilst also reducing service level requirements on slower moving products. Or, you could apply your own, internal classifications to product groupings and set your service levels appropriately.

Over the past three months we’ve focused on getting useful, actionable insights into the hands of our users quickly, ensuring that you have all the information you need to understand what the right stock is for your individual business. We’ve also focused heavily on the user experience and making the application a pleasure to work with to manage your inventory targets.

Luke Dyer

Product Manager, Inventory Intelligence at Peak

What’s coming next?

We have more exciting updates coming up in the near future, including updating the forecasting and safety stock model, focusing on longer lead times with increased visibility of stock on order. We’ve also heard some feedback around our visualizations and we’re looking at additional configurations to support different visual styles.

We’re really excited about these latest developments for Dynamic Inventory, one of the many AI applications on offer from Peak. To learn more, head to our Dynamic Inventory app page to arrange a demo, or watch the high-level video overview below.

A quick look at Dynamic Inventory

See our game-changing AI for inventory application in action

Arrange a demo to see more of Dynamic Inventory

Get in touch with our time to set up a more in-depth look at our application

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