Description

This curriculum spans the design and execution of a multi-site operational excellence program, comparable to a twelve-month advisory engagement focused on aligning Lean Manufacturing practices with enterprise systems, process governance, and digital integration across the value stream.

Module 1: Strategic Alignment and OPEX Governance

Establish a cross-functional OPEX steering committee with defined escalation paths and decision rights for capital and process changes.
Integrate Lean Manufacturing objectives into enterprise performance scorecards aligned with financial, safety, and quality KPIs.
Define the scope of OPEX deployment across business units, deciding whether to prioritize high-volume or high-variability operations first.
Negotiate resource allocation between operational demands and improvement project staffing, including backfill planning for engaged personnel.
Select and standardize a single improvement methodology (e.g., Lean Six Sigma vs. TPS-based) to avoid conflicting frameworks across sites.
Develop a stage-gate approval process for kaizen events and larger transformation initiatives to ensure strategic fit and ROI tracking.

Module 2: Value Stream Mapping and Process Diagnostics

Conduct current-state value stream mapping with actual cycle time, changeover duration, and WIP inventory counts—not estimates.
Identify non-value-added steps in transactional and production flows using time observation studies and spaghetti diagrams.
Validate bottleneck locations through capacity analysis and throughput accounting, not just perceived constraints.
Document material and information flow misalignments, such as ERP order release timing versus actual shop floor sequencing.
Select pilot value streams based on financial impact, leadership support, and data availability for baseline metrics.
Establish standardized VSM notation and review protocols to ensure consistency across multi-site assessments.

Module 3: Standard Work and Operational Discipline

Develop operator-controlled standard work documents with takt time, cycle time, and in-process quality checkpoints.
Implement visual work instructions at each station using photos, torque specs, and torque sequence indicators.
Enforce adherence to standard work through layered process audits with documented corrective actions.
Balance line work content using time studies and redistribute tasks to eliminate operator overload (muri).
Integrate standard work updates into change management systems to control revisions during equipment or product changes.
Address resistance to standardization by involving operators in work instruction creation and validation.

Module 4: Pull Systems and Flow Optimization

Convert batch-and-queue processes to continuous flow cells using physical re-layout and point-of-use material presentation.
Design kanban systems with calculated bin quantities and reorder points based on demand variability and lead time.
Implement supermarket sizing and restocking logic that accounts for supplier delivery reliability and consumption spikes.
Integrate pull signals with ERP/MRP systems to prevent schedule overrides and maintain material flow integrity.
Address shared resource conflicts in mixed-model production by defining changeover sequences and SMED targets.
Monitor takt time adherence and adjust staffing or overtime based on actual customer demand shifts.

Module 5: Total Productive Maintenance and Equipment Reliability

Assign autonomous maintenance tasks to operators with documented cleaning, inspection, and lubrication checklists.
Calculate OEE for critical assets using actual downtime codes and categorize losses into availability, performance, and quality.
Develop preventive maintenance schedules based on OEM recommendations and historical failure data, not calendar defaults.
Implement fault detection systems (e.g., vibration sensors) on high-impact equipment to enable predictive maintenance.
Track MTBF and MTTR trends to prioritize reliability improvement projects and spare parts inventory.
Align maintenance and production planning to secure scheduled downtime for PM without disrupting customer deliveries.

Module 6: Continuous Improvement Infrastructure

Structure a tiered daily management system with visual boards, shift handover protocols, and escalation triggers.
Launch small-group problem solving using A3 reports with defined root cause analysis and countermeasure validation.
Deploy rapid improvement events (kaizen) with pre-defined charters, resource commitments, and post-event sustainment plans.
Integrate improvement ideas into a centralized tracking system with status, ownership, and benefit realization fields.
Standardize problem-solving training across levels using real plant issues as case studies.
Measure improvement velocity by tracking idea submission rate, implementation backlog, and closure time.

Module 7: Change Management and Sustainment

Map stakeholder influence and resistance for each major process change using power-interest grids.
Develop targeted communication plans for supervisors, union representatives, and support functions during transformation phases.
Define sustainment metrics such as audit compliance, rework rates, and recurrence of eliminated waste types.
Conduct follow-up gemba walks with area leaders to verify countermeasure effectiveness three months post-kaizen.
Adjust performance management systems to reward behaviors that support Lean principles, not just output volume.
Institutionalize Lean roles (e.g., value stream managers, CI coordinators) into organizational charts with clear responsibilities.

Module 8: Digital Integration and Advanced OPEX Tools

Integrate real-time Andon data into operational dashboards with automated alerts for threshold breaches.
Deploy mobile applications for digital layered audits and corrective action tracking with photo evidence.
Use simulation software to model flow changes before physical re-layout or capacity expansion.
Connect IoT-enabled equipment to OEE monitoring platforms with data validation rules to prevent false readings.
Apply machine learning to historical downtime logs to predict failure patterns and optimize PM frequency.
Ensure cybersecurity protocols are in place when connecting shop floor systems to enterprise analytics platforms.