Description

This curriculum spans the design and integration of heijunka systems across production planning, value stream alignment, and multi-site operations, comparable in scope to a multi-phase operational rollout involving cross-functional teams, process redesign, and sustained coordination between planning, production, and logistics functions.

Module 1: Foundations of Heijunka and Demand Stabilization

Decide whether to level by volume, mix, or both based on product family variability and customer order patterns.
Implement daily demand smoothing using a heijunka box with sequenced production slots aligned to takt time.
Balance seasonal demand spikes by negotiating staggered delivery schedules with key customers to reduce internal load variance.
Integrate forecast error analysis into heijunka planning cycles to adjust buffer levels and sequencing frequency.
Establish a cross-functional demand management team to reconcile sales projections with production capabilities weekly.
Define product families using setup similarity and process routing data to enable effective leveling across value streams.

Module 2: Value Stream Mapping for Leveling Opportunities

Conduct a current-state value stream map to identify batching behavior and unevenness (mura) at each process step.
Quantify work-in-process inventory at bottleneck operations to assess the impact of unbalanced workflows.
Map customer takt time against process cycle times to pinpoint mismatched capacities requiring leveling intervention.
Use spaghetti diagrams to expose motion waste caused by unlevel production triggering ad hoc material movements.
Identify changeover constraints that limit mixed-model sequencing and require SMED improvements prior to leveling.
Validate future-state VSM assumptions by simulating leveled schedules in production control systems.

Module 3: Heijunka Box Design and Scheduling Mechanics

Size the heijunka box columns based on customer order frequency and internal changeover capability.
Assign color-coded cards for product types and sequence them to minimize changeover time across shifts.
Integrate the heijunka box with pull signals from downstream processes using kanban loops.
Adjust the box schedule dynamically when engineering changeovers or quality holds disrupt planned sequences.
Train team leaders to audit box adherence hourly and log deviations for root cause analysis.
Link heijunka box outputs to material replenishment signals to synchronize supermarket restocking.

Module 4: Mixed-Model Production and Changeover Optimization

Conduct SMED workshops to reduce internal setup time and enable more frequent model switches.
Standardize tooling and fixture locations to support consistent changeover execution across shifts.
Sequence models to balance labor content across workstations and avoid downstream congestion.
Implement error-proofing (poka-yoke) for changeover steps to prevent incorrect configurations.
Monitor changeover duration and first-piece quality to detect degradation in setup reliability.
Rotate operator responsibilities for changeovers to build multi-skilling and reduce dependency on specialists.

Module 5: Material Flow and Supermarket Integration

Size supermarket kanban bins using maximum daily consumption and replenishment interval data.
Design FIFO lanes for shared components to prevent stockouts during model transitions.
Align supermarket restocking frequency with heijunka box cycles to avoid overproduction.
Implement line-side container standardization to reduce handling time during mixed-model runs.
Use milk-run logistics with fixed routes and schedules tied to production sequence changes.
Monitor supermarket fill rates and adjust min/max levels quarterly based on demand variability.

Module 6: Workforce Planning and Standardized Work

Develop standardized work combination sheets for each model to balance cycle times across mixed sequences.
Assign flexible work zones and cross-train operators to cover variable demand without overtime.
Adjust crew size per shift based on heijunka volume bands and labor content calculations.
Integrate standardized work audits into daily tiered meetings to sustain adherence.
Document model-specific work instructions and make them accessible at each station.
Use time observation studies to update standard times after process or design changes.

Module 7: Performance Monitoring and Continuous Improvement

Track heijunka adherence rate by comparing actual vs. planned sequence completion hourly.
Measure changeover compliance against SMED targets to identify training or tooling gaps.
Calculate takt time adherence at critical workstations to detect pacing deviations.
Use OEE data to correlate leveling stability with equipment availability and performance.
Conduct monthly leveling reviews with production, planning, and logistics to resolve systemic variances.
Update heijunka parameters quarterly based on demand pattern shifts and process improvements.

Module 8: Scaling Heijunka Across Multiple Lines and Sites

Harmonize product family definitions across plants to enable consistent leveling logic.
Centralize heijunka planning for shared components to synchronize multi-site production.
Adapt heijunka box logic for high-variability environments using dynamic sequencing algorithms.
Standardize changeover protocols across lines to ensure replicable leveling outcomes.
Deploy digital twin simulations to test leveling scenarios before rollout on live lines.
Establish a center of excellence to audit and certify heijunka implementation maturity across facilities.