Asphalt resurfacing is a perishable, clock-bound value stream. The road is the customer, and although asphalt does not literally expire in a truck, it cools as it travels. That shrinking temperature window affects how well the mix can be placed and compacted. A truck delayed at the plant or jobsite can therefore disrupt the whole flow: the paver waits, the crew loses production time, and the compaction window tightens.
Value Stream Mapping (VSM) makes those connected delays visible. Rather than measuring the plant, trucks and paving crew as separate operations, it maps how material and information move together: from aggregate and binder receival to an accepted, documented road surface.
The worked example below is hypothetical. Its figures are planning assumptions to demonstrate the method, not production benchmarks or acceptance limits. Actual mix temperatures, density targets and testing requirements must follow the project specification and approved mix design.
Select a clear product family and scope
Map one defined product family: mill, level, pave and compact for a metro resurfacing program supplied by one regional hot-mix asphalt plant. This scope includes the plant-to-paver connection, where production and dispatch decisions directly affect the crew’s flow. It is more useful than combining projects with different mixes, routes and construction methods.
Assume weekly demand is 8,500 tonnes across five eight-hour paving days, or 40 available crew hours. The required average pace is:
- Takt: 8,500 ÷ 40 = 212.5 tonnes per available hour
- Plant output while running: approximately 220 tonnes per hour
- Crew-day demand: 8,500 ÷ 5 = 1,700 tonnes
The plant can nominally meet the hourly pace, but only if mix-family sequencing, truck dispatch and paver consumption are coordinated. Spray seal is a useful secondary reference for surface-treatment work, but it is a different product family with different materials, equipment and flow steps. Map it separately rather than blending it into the asphalt VSM.
Current state: map the complete section journey
Walk the process with plant operators, dispatchers, drivers, paving and roller crews, traffic management, QA and project administration. Record both touch time and elapsed lead time; the 94-minute process-time total below is a representative sequence of processing and movement, not the section’s end-to-end elapsed time.
| Current-state step | Time (min) | Complete & accurate (C&A) |
|---|---|---|
| Aggregate and binder receival | 4 | 96% |
| Mix design confirmation and plant set-up | 8 | 91% |
| Batching and mixing | 6 | 98% |
| Truck loading | 4 | 94% |
| Haul to worksite | 24 | 92% |
| Paver transfer | 3 | 90% |
| Paving | 12 | 96% |
| Rolling and compaction | 12 | 88% |
| Joint sealing | 4 | 90% |
| QA testing | 4 | 86% |
| Traffic management set-up and pack-down | 8 | 95% |
| As-built records and claim | 5 | 92% |
| Total representative process time | 94 | – |
The material path starts with receival checks and confirmation that aggregate and binder match the approved design. Mix-family changes require plant set-up; in this scenario, a changeover takes 45 minutes and is scheduled twice weekly. The plant batches and mixes, then loads covered trucks. Dispatch records the ticket, load time, mix type and temperature.
A typical truck cycle is 84 minutes: about 24 minutes loaded to site, 18 minutes waiting at the plant or job, 4 minutes exchanging and discharging, and 38 minutes for return travel, cleaning and other cycle activities. With a 24-tonne payload and a target of 212.5 tonnes per hour, the crew needs a load roughly every 6.8 minutes. The theoretical fleet requirement is about 13 trucks (212.5 ÷ 24 × 84 ÷ 60); validate it against actual routes, payload limits and cycle-time variation.
At site, trucks transfer mix to the paver, which lays the mat at a target speed matched to available supply. Rollers follow the paver through breakdown, intermediate and finish passes. In the assumed current state, variable arrivals cause stoppages, while inconsistent rolling conditions contribute to a 91.5% density first-time pass rate. Rework affects approximately 120 tonnes per week. Track the mat temperature at delivery, behind the screed and through the rolling zone; the project’s approved mix and specification, not a generic value, must define operating limits.
Traffic management is set up before paving and packed down after the section. QA tests, as-built records and claims close the information flow. A representative section takes 3.6 days of elapsed lead time, including scheduling queues, approvals, waiting for a mix slot and weather-related disruption, despite only 94 minutes of mapped processing and movement time.

Find the waste behind the paver wait
Use the DOWNTIME framework to turn observations into improvement questions:
- Defects: density or joint failures create investigation and rework.
- Overproduction: excess mix is dispatched, then returned to the plant or managed as surplus.
- Waiting: trucks queue at the silo, or the paver waits for a late load.
- Non-utilised talent: experienced crew members spot recurring causes but have no routine way to feed them into daily improvement.
- Transportation: unnecessary haul distance adds time and increases cooling exposure.
- Inventory: uncured aggregate stockpiles, queued trucks and surplus mix tie up space and working capital.
- Motion: plant and crew repeatedly reposition between sections because sequencing is not levelled.
- Extra-processing: passes beyond the approved compaction plan add effort without improving the required outcome.
These are not simply crew-level issues. They often reflect decisions about scheduling, mix sequencing, dispatch rules, plant reliability and project handoffs. VSM gives the team a shared picture of those dependencies.
Build the future state around the paver’s pace
Make the paver the pacemaker: schedule plant dispatch and truck arrivals to its planned consumption, rather than releasing trucks in batches. Level the paving program by mix family so the plant produces longer, more predictable runs. Reduce the 45-minute changeover through a documented preparation checklist and a review of the steps that can be completed safely before the switch.
At the worksite, use a live board or digital feed for truck status, mat temperature, paver stops and density results. Establish clear escalation rules if arrivals fall behind, mix temperature trends toward the project limit or density results signal a developing issue. A pour-back control compares planned tonnes with area, width, lift depth and measured progress, reducing excess dispatch and returns.
Standardise traffic management set-up and pack-down with role assignments, equipment checks and a repeatable sequence. Confirm that the plan remains compliant with project and local safety requirements.
The temperature and compaction feedback loop is central to this design. Guidance in the AAPTP Asphalt Paving Handbook discusses factors affecting compaction; teams should use applicable specifications and mix guidance to set project controls. For truck-cycle planning, the AAPTP planning guidance is a useful reference.
Current versus future state: set targets, then validate
The future figures below are illustrative targets for a pilot, not guaranteed outcomes. Define each measure consistently before comparing results.
| Measure | Current state | Future-state target |
|---|---|---|
| Section lead time | 3.6 days | 1.4 days |
| Representative process time | 94 min | 78 min |
| Value-added share of process time* | 36% | 44% |
| Tonnes per crew day | 1,250 t | 1,580 t |
| Density first-time pass rate | 91.5% | 97% |
| Rework tonnes per week | 120 t | 35 t |
| Average truck waiting | 18 min/cycle | 7 min/cycle |
| Plant OEE | 68% | 78% |
| Cost per tonne | $168 | $154 |
*Illustrative definition: paving and compaction time divided by representative process time. Agree on the value-added definition for the project before measuring.
The future state does not depend on running the plant faster in isolation. It aims to improve the system: fewer queues and changeovers, more stable truck arrivals, fewer paver interruptions and earlier feedback on compaction performance. Review performance by shift, mix family and route so averages do not conceal variation.
A 90-day kaizen sequence

Days 1–30, Observe and stabilise
- Map one representative mix family and validate the current-state times with direct observation.
- Record truck cycle events, paver stops, plant changeovers, temperatures, density results and weather interruptions.
- Agree on definitions, baseline measures and project-specific trigger limits.
Days 31–60: Synchronise and reduce changeover
- Pilot takt-based truck dispatch on a defined route and paving shift.
- Trial the levelled mix-family schedule and changeover checklist.
- Standardise truck exchange, traffic management and pour-back checks.
Days 61–90, Control and scale
- Review temperature, arrival and density signals at shift handover and in daily management.
- Confirm that improvements hold across crews, shifts and relevant mix families.
- Update standard work, assign measure owners and prepare a controlled rollout to the next program section.
Turn the map into measurable improvement
An asphalt VSM is most valuable when it connects the customer’s need (a durable, compliant road surface) to the operational decisions that protect flow and quality. Start with one product family, collect actual data and use the current state to identify where the paver loses continuity. Then test future-state changes with the crew and verify outcomes against safety, specification, cost and delivery measures.
Build your process-improvement capability with Lean Six Sigma Hub’s self-paced online courses. Learn through real-world simulations and end-to-end DMAIC case studies, with certification accredited by the Council for Six Sigma Certification (CSSC). Explore Green Belt training or review the Lean Six Sigma training options.
Pursue Lean Six Sigma certification and put structured improvement to work in your next project.
Kaizen. Kai-Care. Kai-Done. Lean Six Sigma








