Control Specifications
"Control specifications" β also called specification limits or tolerance limits β are the boundaries the customer sets for what counts as acceptable. In other words, the customer says, "I'll accept a product as long as it falls between this value and that value." These are demands from the outside, based on what the customer needs.
The key idea in "CS within CL" is the relationship between two different sets of limits. "Control limits" (CL) describe what your process naturally does on its own. "Control specifications" (CS) describe what the customer will tolerate. The healthiest situation is when the customer's specification limits sit comfortably inside your process's control limits β meaning your process is naturally tighter and more consistent than the customer even requires.
How do you read this? If your specifications fall inside your control limits, you're in great shape: your normal variation almost always meets the customer's needs. But if the customer's limits are narrower than your process can reliably hit, you'll produce rejects and need to improve the process. Project managers compare these two sets of limits to judge whether a process is truly "capable" of satisfying the customer.
Think of it like parking a car in a garage. The control limits are how wide your car actually swings as you pull in. The control specifications are the width of the garage door the customer built. You want your car's wobble to fit easily inside that doorway β if the doorway is narrower than your driving is steady, you'll keep clipping the frame.
Imagine your bottling line naturally produces drinks between 470ml and 530ml (its control limits). Your customer says, "I'll only accept bottles between 490ml and 510ml" β those are the control specifications. Because 490β510 sits nicely inside 470β530... wait, here the specification is actually tighter than the process, so some bottles will fall outside what the customer wants. To meet the customer, you'd need to reduce your process variation so that 490β510ml becomes easy to hit every time. When your process is improved so its natural spread lands well within 490β510ml, the specifications comfortably contain the process and virtually every bottle pleases the customer.
Every PMP formula explained free β plus worked examples and practice in PMP Math, and full timed mocks in the simulator.