Inventory managers have the problem of handling tens or even hundreds of thousands of products, each with unique properties, demanding sophisticated and time-consuming calculations. The proactive management of big inventories becomes unfeasible in the absence of a systematic approach and effective analytic tools.
Without inventory optimization, businesses run the risk of overpaying and underperforming. Manufacturers, distributors, and MRO inventory managers frequently err on the side of caution when setting stocking levels to prevent expensive shortages. Establishing the ideal stock levels for manufacturers, distributors, and MRO should be a science, not an art.
Learn industry best practices on how to optimize inventory to save on costs, meet demand, and streamline your supply chain below.
An Example of Simulation-Based Multiechelon Inventory Optimization
Managing the inventory across multiple facilities arrayed in multiple echelons can be a huge challenge for any company. The complexity arises from the interactions among the echelons, with demands at the lower levels bubbling up and any shortages at the higher levels cascading down.
Fact and Fantasy in Multiechelon Inventory Optimization
For most small-to-medium manufacturers and distributors, single-level or single-echelon inventory optimization is at the cutting edge of logistics practice. Multi-echelon inventory optimization (“MEIO”) involves playing the game at an even higher level and is therefore much less common.
Inventory Planning Becomes More Interesting
Just-In-Time (JIT) ensures that a manufacturer produces only the necessary amount, and many companies ignore the risks inherent in reducing inventories. Combined with increased globalization and new risks of supply interruption, stock-outs have abounded. So how can you execute a real-world plan for JIT inventory amidst all this risk and uncertainty? The foundation of your response is your corporate data. Uncertainty has two sources: supply and demand. You need the facts for both.
Assessing How Suppliers Influence Your Inventory Costs
Software for inventory optimization is most often used to crank out the analytical results you need to run your day-to-day business, such as Reorder Points (also known as Mins) and Order Quantities. This specialized software helps you find the sweet spot that balances inventory costs against item availability during routine operations.
Increasing Revenue by Increasing Spare Part Availability
Let’s start by recognizing that increased revenue is a good thing for you, and that increasing the availability of the spare parts you provide is a good thing for your customers. But let’s also recognize that increasing item availability will not necessarily lead to increased revenue. If you plan incorrectly and end up carrying excess inventory, the net effect may be good for your customers but will definitely be bad for you. There must be some right way to make this a win-win, if only it can be recognized.
Why pick arbitrary Service Level Targets?
Learn how to select automatically the optimal Targets @scale minimizing total costs for your business. The Smart Inventory Optimization app calculates all the key metrics to expose those tradeoffs.
Problem
Keeping inventory investments in check while maintaining high customer service levels is a constant balancing act. Without proper controls, excess inventory grows throughout your supply chain, locking up vital working capital that constrains your company’s growth. Every day, the ERP system makes purchase order suggestions and manufacturing orders based on planning drivers such as safety stock, reorder points, and Min/Max levels. Ensuring that these inputs are understood and continually optimized will generate substantially better returns on your inventory assets. Unfortunately, many organizations rely on rule of thumb logic, institutional knowledge, and “one-size-fits all” forecasting logic that assigns all items within a particular group the same service level target. These approaches yield suboptimal policies that cause inventory costs to balloon and service performance to suffer. Compounding the problem is the sheer volume of data – thousands of items stocked at multiple locations means planners don’t have the bandwidth to proactively review these inventory drivers on a regular basis. This results in outdated reorder points, safety stocks, order quantities, and Min/Max settings that further contribute to the problem.
Solution
Smart Inventory Optimization (SIO™) is available on Smart’s Inventory Planning and Optimization Platform, Smart IP&O. It delivers inventory policy decision support and the means to share, collaborate, and track the impact of your inventory planning policy. This can help realize millions in savings by improving customer service and reducing excess stock. You can forecast metrics such as service level, fill rate, holding costs, ordering costs, and stock out costs. Users can identify overstocks and understocks, adjust stocking policies when demand changes, share proposed policies with other stakeholders, collect feedback, and establish a consensus inventory plan. And unlike traditional inventory planning systems that rely on rule of thumb approaches or require the user to arbitrarily set suboptimal service level targets, Smart Inventory Optimization prescribes the optimal service levels for you. Users can optionally assign service level constraints to ensure the optimization engine respects business rules. SIO provides the required inventory planning parameters for a variety of replenishment policies such as Reorder Point/Order Quantity, Min/Max, Safety Stock Planning, and Order Up to levels.
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With Smart Inventory Optimization you can:
- Identify where you are overstocked and understocked.
- Modify planning parameters based on your business rules, service targets, and inventory budget.
- Leverage the optimization logic in SIO to prescribe planning parameters and service levels for you.
- Compare proposed policies to the benchmark.
- Collaborate and develop a consensus inventory plan.
- Automatically generate revised planning parameters as demand and other inputs change.
Smart Inventory Optimization
Optimal Inventory Levels
Reduce excess stock
Improve service levels
Minimize buyer transactions
Maximize return on assets
Organizational Consensus
Balance service levels
Identify stockout risk
Identify overstocks
No finger-pointing
Operational Connectivity
Align process with strategic objectives
Empower team to “make it so”
Optimize as conditions change
Pass results to ERP
Who is Inventory Optimization for?
Smart Inventory Optimization is for executives and business savvy planners who seek to:
- Yield maximum returns from inventory assets.
- Address the problem of highly variable or intermittent demand.
- Broker the service vs. cost tradeoffs between different departments.
- Develop a repeatable and efficient inventory planning process.
- Empower the team to ensure operational plan is aligned with strategic plan.
What questions can Inventory Optimization answer?
- What is the best service level achievable with the inventory budget?
- What service levels will yield the maximum return?
- If lead times increased, what would it cost to maintain service?
- If I reduce inventory, what will the impact on service be?
- If order quantity increases, what will the impact on service and costs be?
- What is the order quantity that balances holding and ordering costs?
Inventory forecasting for the inventory executive
Smart Inventory Optimization empowers you to:
- Predict service performance and inventory costs.
- Assess business impact of “what-if” inventory policies.
- Align inventory policy with corporate strategy.
- Establish an operational framework that guides the planning team.
- Reduce inventory and improve service.