Managing Demand Instead of Just Serving It: Aligning Lead Times, Capacity, and Prices

Why businesses swing between idle time and overload

In many small businesses, workload follows a familiar pattern. When the order book is full, there is hardly any selling, inquiries are answered slowly, and lead times grow. A few months later the orders are done, new ones are missing, and the owner sells under pressure, often at a discount. The swing costs twice: at the peak through overtime, errors, and annoyed customers, in the trough through orders with little contribution margin.

The central question, then: how does a small business align lead times, capacity, and prices so that it manages its demand instead of merely serving it? To answer it, we first clarify the terms and a simple calculation rule, then present the mental model of yield management, weigh two perspectives on prices by timing, and finally arrive at a target corridor with fixed rules.

This guide complements the article planning and smoothing seasonal fluctuations. That article deals with the recurring pattern over the year and with the two basic strategies according to Sasser (1976): chase demand, or keep capacity level and shift demand. This one deals with ongoing week-to-week management, which businesses without a pronounced season need as well.

If you do not manage your lead time, it is managed by the customers who call first.

Terms: order backlog, capacity, and lead time

The order backlog is the work that has already been ordered but not yet completed, measured in hours or in revenue. Capacity is the work the business can actually perform per week. How much of it can be planned once absences, fixed appointments, and day-to-day business are deducted is described in the guide capacity planning: in many teams it is less than half of working time.

Lead time is the time between the order and the start of execution. It follows from a simple relationship known in queueing theory as Little's law (Little 1961): the average time in the system equals the backlog divided by throughput. Applied to the business, this means: lead time in weeks = order backlog in hours ÷ plannable hours per week.

A worked example with freely chosen numbers: a business has 480 ordered hours open and can deliver 120 plannable hours per week. Lead time is four weeks. If 200 new hours come in during one week, the backlog rises to 560 hours and lead time to almost five weeks. If you know this figure every week, you see early where things are heading.

The mental model: yield management for fixed capacity

Yield management, also called revenue management, comes from aviation. Sheryl Kimes (1989) describes it as a tool for service firms with limited capacity: an airline seat that is empty at departure is lost. The method decides how much of the fixed capacity is allocated to which type of demand, with the aim of maximizing revenue. According to Kimes, it is in principle suitable for any company whose capacity is constrained, and it was already being used at the time by hotels, car rental firms, railways, and cruise lines.

The same logic applies to a trade or service business. A technician's hour that is not sold today cannot be made up tomorrow. Desiraju and Shugan (1999) examined when the typical tools of yield management actually increase profit. Their central finding: early discounts and holding back capacity for late buyers work mainly when the price-insensitive customers buy late. That is the case with air travel, where business travelers book at short notice. For other services, by contrast, the customers willing to pay come early, and then the pattern does not fit.

The authors also warn against a widespread attitude. If your main goal is to fill free capacity, you will tend to fill it with discounts. They cite the observation that full planes are of no use if they still fly at a loss. For a small business, this means: utilization is not the goal; contribution margin per hour of the scarcest resource is, as described in the guide contribution margin per order.

Two perspectives: flexible prices or fixed prices?

The first perspective follows yield management: when capacity is scarce, its price should rise, and when it is free, it should fall. Prices thus become a tool for steering demand. A rush surcharge shortens the queue, because only customers with genuine time pressure pay it. A discount for orders with a flexible date fills quiet weeks.

The second perspective stresses the limits. Business customers compare prices, and a difference they do not understand seems unfair. The article price differentiation describes the finding that price differences are more likely to be seen as unfair the more similar two transactions are (Xia, Monroe, and Cox 2004), and that frequently changing prices confuse customers. Desiraju and Shugan (1999) also report that several industries deliberately simplified their pricing systems in the 1990s.

For a small business, I consider a middle path sustainable: fixed list prices and, alongside them, a few openly stated rules by timing. A rush surcharge and a discount for flexible dates pass the justification test from the article on price differentiation, because the customer sees the reason. Prices that change weekly according to utilization do not pass it. In any case, the more important lever is often not price but honest information about lead time.

The target corridor: rules for too little and too much demand

Managing means deciding in advance what happens in which situation. The tool for this is a target corridor for lead time: a lower and an upper limit in weeks between which the business works well. Below it, idle time looms; above it, overload and annoyed customers. For each situation, there are measures decided in advance.

The corridor limits depend on the business. A business with short-term repairs needs a narrow corridor of a few days, a project business a wide one of several weeks. The upper limit should lie below the utilization at which waiting times rise sharply. Queueing theory shows that this happens well before full utilization. The guide capacity planning describes how waiting times increase sharply from about 80 percent.

Step by step: introducing demand management

1. Calculate lead time every week

   Every Monday, enter the open order backlog in hours and the plannable hours of the coming weeks. The division gives you the lead time. A spreadsheet is enough.

2. Set the corridor

   Determine from the last twelve months at what lead time the business worked calmly and reliably and from what point deadlines slipped. This gives you the lower and upper limits.

3. Write down measures for each situation

   For too little and too much demand, define two to three measures each, as in the table above. If you decide them in advance, you will not decide under pressure at the peak.

4. Hold back capacity for regular customers

   Reserve a fixed share of weekly capacity for short-notice orders from important customers. This is the holding back of capacity from yield management, applied to customer relationships.

5. Communicate lead time openly

   State the realistic start date in every quote. A customer who knows it will be four weeks plans with that. A customer promised two weeks and served after six looks for another supplier.

6. Review monthly

   Once a month, compare how often the corridor was left and whether the measures worked. Adjust the limits and measures.

When there is too much demand, selection helps too. Not every order has to be accepted if it ties up the scarcest resource and yields little. Criteria for this are described in the guide saying no to orders. When there is too little demand, a look at the pipeline helps: which quotes are open and could be brought forward with a phone call? How to manage a pipeline is shown in the guide pipeline management for small and midsize businesses.

Limits and what follows from them

The calculation rule is a simplification. It assumes that hours are interchangeable. In many businesses they are not: the backlog may average four weeks while a particular person or machine is booked for eight. Then the lead time of the bottleneck applies, not that of the average. How to find the bottleneck is described in the article Goldratt's theory of constraints.

Research on yield management has limits too. Kimes (1989) and Desiraju and Shugan (1999) developed their ideas on airlines, hotels, and similar services with many anonymous customers. A small B2B business has few customers who know each other and compare prices. Transferring the ideas to it is therefore an assessment. What transfers is the idea of allocating capacity deliberately. What does not transfer is the computational technique that changes prices continuously according to utilization.

Conclusion: how a business manages demand

To answer the guiding question: a small business manages its demand when it treats lead time as a calculated quantity, order backlog divided by plannable capacity, and sets a target corridor for it. Below the corridor, it stimulates demand through sales and flexible dates; above it, it steers demand through open information, selection, and a few justified surcharges. Yield management provides the idea of deliberately allocating fixed capacity to customers with different time pressure. Its computational technique, by contrast, fits only to a limited extent with a business that has few, long-standing customers.

1. This week: Calculate the current lead time from order backlog and plannable hours.
2. This month: Set the corridor and two measures each for too little and too much demand.
3. This quarter: Check monthly how often the corridor was left and adjust the rules.

Demand will never be as even as an owner would like. But the difference between a business that is caught by surprise and one that is prepared lies in a number that is recalculated every Monday.