
Time & Cost Optimization
Faster is not automatically cheaper — there is a least-cost duration
To shorten a project you crash it — add resources to critical activities — and that raises direct cost, while indirect (overhead) cost falls the sooner you finish. The two pull opposite ways, so total cost traces a U-curve with a least-cost optimum duration. The cost slope tells you the price of a day saved, so you crash the cheapest critical activities first — and only to the optimum, because ‘faster is always cheaper’ is a myth.
Learning objectives
By the end of this lesson, you will be able to — mapped to the course outcomes for Project Management in Interior Design:
Distinguish direct, indirect and contingency costs and how each changes with duration.
Use the cost slope to crash the right critical activities in the right order.
Find the least-cost optimum duration on the total-cost curve.
Direct and indirect cost, and the slope
Direct costs (labour, materials) rise as you rush; indirect costs (overheads) rise with duration — so total cost has a minimum in between. The cost slope = (crash cost − normal cost) / (normal time − crash time) is the extra cost per day saved — buy your days from the cheapest source first.[1]
Two costs that pull opposite ways
A project has two kinds of cost that behave in OPPOSITE ways as its duration changes. DIRECT costs — labour, materials, equipment for the actual work — RISE if you rush (overtime, extra crews, express delivery all cost more), so direct cost goes UP as duration goes DOWN. INDIRECT costs — site overheads, supervision, rent, and the client's cost of not having the space — accrue per day, so they go UP as duration goes UP. Add to these a CONTINGENCY for the risks and delays you cannot foresee. Because direct and indirect costs pull opposite ways, the TOTAL cost is not lowest at the fastest schedule nor at the slowest — it has a minimum somewhere in between, and finding it is the whole game.[1, 4]
Crashing to the optimum
You crash only critical activities (others buy nothing but cost), lowest cost slope first, re-checking each step — because shortening one path can make another critical. And you stop at the optimum: the least-cost duration on the total-cost curve. ‘Faster is always cheaper’ is a myth — past the optimum, every day bought costs more than it saves.[1, 4]
Shorten the right activities
You cannot shorten a project by crashing just any activity — only the CRITICAL ones control the finish, so crashing a non-critical activity buys nothing but cost. So the method is: find the critical path, then crash the critical activity with the LOWEST cost slope (the cheapest day), one step at a time, re-checking the network each step — because shortening one path can make ANOTHER path critical, and then you must crash both. You keep going only as long as it is worth it. Crashing is precise, disciplined work: the right activities, in the right order, by the right amount — guided by the cost slope and the critical path together.[1]
At a glance
| Aspect | The fact | The folklore |
|---|---|---|
| Direct cost (labour, materials) | RISES as you rush — overtime, extra crews | Falls the faster you go |
| Indirect cost (overheads) | RISES with duration — accrues per day | Is fixed regardless of time |
| The cost slope | (Crash − normal cost) / (normal − crash time) — price per day saved | The total project cost |
| You crash | CRITICAL activities, lowest cost slope first | Any activity, in any order |
| Total cost vs duration | A U-curve with a least-cost OPTIMUM in between | Always lowest at the fastest schedule |
| 'Faster is always cheaper' | A myth — crash only TO the optimum, no further | True — always crash more |
Key terms
The cost of the actual work — labour, materials, equipment — which rises as you shorten (crash) the schedule with overtime, extra crews and express delivery.
Overheads that accrue per day — site running, supervision, rent, the client's cost of delay — so they rise the longer the project takes.
A cost allowance for the risks and delays that cannot be foreseen — part of an honest budget, separate from direct and indirect cost.
(Crash cost − normal cost) / (normal time − crash time) — the extra direct cost per day saved by crashing an activity; crash the lowest-slope critical activities first.
Shortening the project by adding resources to critical activities to cut their duration — precise work: the right activities, in the right order, by the right amount.
The least-cost project duration — the minimum of the U-shaped total-cost curve; crash to it, and no further, because past it every day bought costs more than it saves.
Study task
Take a small project with four or five activities and give each a normal time and cost and a crash time and cost. Compute the cost slope of each — (crash cost − normal cost) / (normal time − crash time) — and rank them cheapest to dearest. Find the critical path. Now shorten the project by one day at a time by crashing the cheapest critical activity available, re-checking after each step whether a new path has become critical. Track how direct cost climbs and (assuming a daily overhead) how indirect cost falls, and find the total-cost minimum — the optimum duration. Then answer honestly: if the client demanded a finish faster than the optimum, by how much would each further day cost them? The goal is to prove, in numbers, that faster is not automatically cheaper.
Self-assessment
1. How do direct and indirect costs change with project duration?
2. What is the cost slope, and what is it for?
3. Which activities do you crash to shorten a project?
4. Is 'faster is always cheaper' true?
Recap
References & further reading
- [1]B. C. Punmia & K. K. Khandelwal, Project Planning and Control with PERT and CPM — direct and indirect cost, cost slope, crashing, and the least-cost optimum duration. https://www.laxmipublications.com/
- [4]M. Y. Khan & P. K. Jain, Management Accounting — project cost, cost behaviour and cost-time optimisation. https://www.mheducation.co.in/
Further reading
- B. C. Punmia & K. K. Khandelwal, Project Planning and Control with PERT and CPM.
- M. Y. Khan & P. K. Jain, Management Accounting.
Sources gathered and fact-checked June 2026. Published values vary by source, sample and method — treat as indicative and confirm against the cited standard before structural use.
The author
Amogh N P
Architect, interior designer, and creative polymath. Studio Matrx began in his notebooks — his vision of design made honest, useful, and open to everyone. Its Academy is written and taught in his memory, and free, forever.
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