This curriculum spans the design and governance of enterprise-wide operating models, comparable to a multi-phase operational transformation program seen in global firms aligning complex supply chains, digital systems, and capital planning with evolving business strategy.
Module 1: Strategic Diagnosis and Operational Gap Analysis
- Conducting a value chain assessment to identify operational activities that directly enable or constrain strategic objectives
- Selecting performance benchmarks from peer organizations while adjusting for business model differences
- Mapping core capabilities against current market positioning to expose misalignments
- Using activity-based costing to quantify inefficiencies in high-impact processes
- Facilitating cross-functional workshops to reconcile strategic intent with operational realities
- Defining lagging and leading indicators for operational health tied to strategic outcomes
- Integrating customer and competitor intelligence into operational priority setting
Module 2: Designing Strategy-Aligned Operating Models
- Selecting between centralized, decentralized, and hybrid operating models based on strategic agility requirements
- Redesigning process ownership structures to eliminate handoff delays in critical value streams
- Specifying service-level agreements (SLAs) between internal functions to enforce accountability
- Aligning IT system architecture with process standardization versus localization trade-offs
- Defining decision rights for operations teams in response to market volatility
- Integrating sustainability targets into supply chain design and facility location decisions
- Calibrating automation scope based on volume predictability and labor cost differentials
Module 3: Performance Management System Integration
- Developing balanced scorecards with KPIs that cascade from strategic goals to frontline operations
- Aligning incentive compensation structures with cross-functional performance outcomes
- Implementing operational dashboards with real-time data feeds from ERP and MES systems
- Establishing review rhythms for performance data at plant, regional, and corporate levels
- Addressing metric conflicts, such as cost reduction versus quality improvement targets
- Validating data integrity in performance tracking systems across global operations
- Adjusting performance thresholds in response to external disruptions like supply shortages
Module 4: Change Management in Operations Transformation
- Identifying informal leadership networks to accelerate adoption of new operating procedures
- Sequencing site rollouts of operational changes to manage organizational bandwidth
- Designing training programs tailored to functional roles and technical proficiency levels
- Managing resistance from middle managers facing redefined performance metrics
- Communicating transformation milestones using operational data, not just strategic vision
- Embedding new behaviors through revised onboarding and performance review processes
- Conducting post-implementation audits to sustain process adherence
Module 5: Capital Allocation and Operational Investment Prioritization
- Evaluating ROI for automation projects using scenario-based cash flow modeling
- Ranking operational improvement initiatives using net present value and strategic alignment scores
- Allocating capital across maintenance, efficiency, and growth-related operational projects
- Establishing approval thresholds for operational expenditures by management level
- Assessing capacity expansion options against demand volatility and lead time constraints
- Integrating risk-adjusted return metrics into plant investment decisions
- Coordinating with treasury functions to align operational capex with financing strategy
Module 6: Supply Chain and Network Optimization
- Rebalancing inventory policies across distribution centers to support service-level targets
- Negotiating dual-sourcing agreements to mitigate geopolitical and supplier concentration risks
- Redesigning logistics networks to reduce carbon footprint without increasing delivery lead times
- Implementing demand sensing tools to improve forecast accuracy in volatile markets
- Standardizing procurement processes across business units while preserving category-specific tactics
- Managing supplier performance through scorecards linked to operational KPIs
- Integrating nearshoring decisions with total cost of ownership and resilience requirements
Module 7: Technology Enablement and Digital Operations
- Selecting IIoT platforms based on integration requirements with existing control systems
- Defining data governance protocols for operational technology and IT system convergence
- Deploying predictive maintenance algorithms with measurable reductions in unplanned downtime
- Scaling pilot digital twin implementations across multiple production lines
- Assessing cybersecurity risks in connected manufacturing environments
- Establishing data quality standards for AI-driven operational decision support
- Managing change in human-machine workflows during robotics integration
Module 8: Governance and Continuous Improvement Architecture
- Structuring operational excellence functions to balance standardization and local adaptation
- Defining escalation protocols for operational deviations impacting strategic delivery
- Integrating lean management systems with enterprise risk management frameworks
- Conducting periodic audits of process compliance without disrupting production flow
- Rotating operational leaders across functions to build system-wide understanding
- Updating improvement methodologies based on post-mortems of operational failures
- Embedding lessons from operational incidents into strategic planning cycles
