Time compression and speed are vitally important elements in supply chain success, especially for organisations operating in more competitive markets. Therefore, knowing how long your process cycles take to complete should be a high priority among your KPI measurements.
I’ve been working in supply chain for over 30 years now, and if there’s one thing that separates the really good operations from the average ones, it’s their obsession with supply chain cycle time. Not just measuring it, but actively working to compress it.
The thing is, cycle time gets overlooked more often than you’d expect. Companies get caught up in cost metrics and fill rates, which are important, but they forget that speed is often what customers actually care about. I worked with a building materials distributor a few years back who couldn’t understand why they kept losing business to a smaller competitor. Their prices were better, their product range was wider. But the competitor could get materials on site in two days. My client was taking five. That’s a cycle time problem, and it was costing them real money.
Why Supply Chain Cycle Time Matters
Before we get into the specific metrics, it’s worth understanding why cycle time deserves a spot on your KPI dashboard.
First, there’s the obvious customer service angle. Shorter cycle times mean faster deliveries, which generally means happier customers. In some industries, this is table stakes now. If you can’t match your competitors’ delivery speeds, you’re not even in the conversation.
Second, shorter supply chain cycle times usually correlate with lower costs. This might seem counterintuitive at first. Surely moving faster costs more? But honestly, the opposite is often true. Long cycle times mean more inventory sitting around, more working capital tied up, more warehouse space needed, more opportunities for things to go wrong. Speed and efficiency tend to go hand in hand.
Third, and this is something people don’t think about enough, shorter cycle times give you more flexibility to respond to changes in demand. If your total supply chain cycle time is 90 days, you’re essentially making bets about what customers will want three months from now. Compress that to 30 days and suddenly you’re operating with much better information.
The Key Supply Chain Cycle Time Metrics
There are a number of ways in which you can measure performance with cycle times. Here are a few suggestions for metrics which, if tracked continuously, can help you identify ways to speed up your supply chain performance.
Customer Order Promised Cycle Time
This cycle time performance measure tells you the expected time from a customer order being placed to the time of its delivery. The cycle time will remain fairly constant, only changing when you know you can promise a (hopefully) reduced time from order to delivery.
The customer order promised cycle time will be the benchmark against which you monitor the following metric in this list, customer order actual cycle time.
What I find interesting about this metric is how few companies actually know what they’re promising. They might have a standard lead time on their website or in their contracts, but the reality on the ground is often different. Sales reps make commitments, customer service adjusts expectations, and before you know it, nobody’s really sure what “on time” even means anymore.
Customer Order Actual Cycle Time
If you want to measure this cycle time metric, you need to capture the average time taken from when a customer places an order until it is delivered. Customer order actual cycle time performance includes the time taken to complete all stages in the fulfilment process, including for example, credit checks, picking in the warehouse and shipping time.
This is where you find out whether you’re actually delivering on your promises. The gap between promised and actual cycle time is one of the most telling indicators of supply chain health. A small, consistent gap suggests your operation is under control. A large or variable gap means you’ve got problems that need attention.
I always recommend breaking this metric down by customer segment or order type. Your average might look fine, but if you’re consistently slow on your biggest customer’s orders while being fast on the small ones, you’ve got an issue that the average is hiding.
Cash to Cash Cycle Time
This is the length of time elapsed between paying for raw materials and getting paid for the end product. The faster your cash to cash cycle time performance, the more profitable and lean your supply chain is likely to be.
Cash to cash cycle time is one of those metrics that doesn’t get enough attention from operations people. It tends to sit with finance, which means the supply chain team doesn’t always see how their decisions impact it. But look, every day of inventory you’re holding, every day your customers delay payment, every day you could have stretched your payables but didn’t, that’s cash tied up that could be working for the business elsewhere.
The calculation itself is straightforward: days inventory outstanding plus days sales outstanding minus days payables outstanding. The challenge is getting the number down without damaging relationships with customers or suppliers.
Supply Chain Cycle Time
An all-encompassing cycle time performance measure, supply chain cycle time is the sum of the longest lead time for each stage in the cycle. It represents the total time taken to fulfil a customer’s order if all inventory levels in your supply chain are at zero.
For your supply chain to become efficient and agile, this cycle time should be shortened as much as possible.
This metric is particularly useful for strategic planning. It tells you your theoretical minimum response time if everything had to be built from scratch. Most companies buffer against this with inventory, which is sensible, but understanding the underlying cycle time helps you make smarter decisions about where to place that inventory and how much you really need.
Practical Steps to Reduce Supply Chain Cycle Time
Measuring cycle time is one thing. Actually reducing it is another.
The approach I typically recommend starts with mapping the entire process from order receipt to delivery. Not the idealised version in your standard operating procedures, but what actually happens. Every handoff, every wait time, every approval step. You’ll almost certainly find that the majority of your cycle time is waiting, not working.
Once you can see where the time goes, you can start asking whether each step is really necessary. Some will be. Credit checks exist for good reason. But others might be legacy processes that nobody’s questioned in years.
Automation helps, obviously. Electronic data interchange, automated order processing, real-time inventory visibility. These things compress cycle time by eliminating manual intervention and the delays that come with it.
But honestly, some of the biggest gains come from simpler changes. Adjusting cut-off times, changing picking priorities, aligning production schedules with despatch windows. Not everything requires a technology investment.
Keeping Your Focus
In order to avoid analysis paralysis, your organisation should stick to monitoring a select range of the most relevant KPIs. In fact, less is often more when it comes to performance metrics. In deciding what to include in your KPI reporting suite though, you shouldn’t overlook the importance of monitoring supply chain cycle time performance.
If I had to choose just one cycle time metric, I’d probably go with customer order actual cycle time. It’s the one that most directly reflects what your customers experience. But the right choice depends on your specific situation and what’s driving performance issues in your operation.
The main thing is to pick something, measure it consistently, and actually use the information to drive improvement. A cycle time metric that sits in a report nobody reads isn’t helping anyone.
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