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OPS7881 Industrial Automation Strategy for Operations Leaders

$198.00
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The Executive Diagnostic and Governance Toolkit

Industrial Automation Strategy for Operations Leaders

Score your own function red, amber or green, find out which part is weakest, and walk into the next budget round able to defend what you want to fix. Built for leaders reviewing decide whether to invest in new robotic production lines or upgrade existing machinery to meet output targets.

$199 one-time
30-day money-back guarantee Verified against latest insights, updated access provided within 24h

Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

What you walk out with
A scored, ranked picture of your own function, and a defensible answer to what to fix first.
1 You stop guessing where you stand.
You finish with a score, not an opinion: every part of your function rated red, amber or green, with the weakest ranked first. Evidence: a Quick Scan for the shape of it, then seven domain assessments of 30 scored questions each, 210 in all, rolled into one scorecard, plus a maturity radar and a current-versus-target gap analysis.
2 You can defend the decision.
You walk into the budget round with the gap named, the owner named and done defined, instead of a case built on instinct. Evidence: project charter, scope statement, RACI, requirements traceability and work breakdown structure, pre-filled in your domain's language.
3 The work actually moves.
The month after the decision is already built, so nothing stalls waiting for someone to design a form. Evidence: more than 60 project templates across all five PMBOK process groups, plus runbooks, SOPs, a KPI framework, audit checklists and a risk matrix. 55 to 65 files in total.
4 You use it the day it lands.
No blank templates to interpret. Every workbook opens with what it is, who uses it, when, how, a 1 to 5 scoring guide, what good looks like, and a worked example you delete and type over.
The Quick Scan is one sitting. You will know your weakest area before the day is out.
Nothing in it is generic project management: the build rejects any file that could belong to another course. Updated after you enrol, so it reflects where the work stands now. The 144-chapter course is included behind it, for the parts you want to go deeper on.
Choosing between new robotic lines and upgrading legacy systems shouldn't be guesswork.

The situation this is built for

Every quarter, you face pressure to increase throughput with tighter capital budgets. Proposals come in for full robotic line replacements, while maintenance teams argue for incremental upgrades. Without a consistent evaluation framework, decisions default to politics, past precedent, or fear of downtime. The result? Missed output targets, stranded assets, and erosion of stakeholder trust when projects underdeliver.

Who this is for

Chief Operations Officer in discrete or process manufacturing, responsible for plant throughput, OEE, and multi-year capital planning.

Who this is not for

This is not for engineers seeking technical integration guides, vendors selling automation solutions, or executives focused solely on ESG metrics without operational accountability.

What you walk away with

  • Establish a repeatable method to evaluate automation investments
  • Reduce time spent debating equipment strategies in leadership meetings
  • Increase confidence in capital requests tied to production output
  • Eliminate costly pilot programs based on incomplete assumptions
  • Align engineering, maintenance, and finance around a shared roadmap

How this maps to your situation

  • Current state assessment
  • Future state definition
  • Financial modeling
  • Execution readiness

Before vs. after

Before
Decisions made reactively, based on urgent needs and incomplete data, leading to inconsistent results and eroded credibility.
After
Confident, evidence-based choices on automation investments, backed by clear metrics and aligned cross-functional support.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed to be completed alongside regular duties over 6–8 weeks.

If nothing changes
Continuing without a formal assessment process means recurring disputes over capital allocation, missed throughput targets, and growing misalignment between operations, finance, and executive leadership.

How this compares to the alternatives

Unlike vendor-led assessments that promote specific solutions, this course provides an impartial methodology rooted in operational physics and capital discipline, focused entirely on your plant's unique constraints and goals.

Also included: the full course, for when you want the reasoning behind a finding (12 modules, 144 chapters)

Depth reference. The diagnostic and the templates stand on their own; this is what to read when you want the reasoning behind a finding.

Module 1. Diagnosing Current Automation Maturity
Assess where your existing production systems stand on reliability, flexibility, and integration readiness.
12 chapters in this module
  1. Mapping all active production lines by age and control system
  2. Evaluating mean time between failures across primary work cells
  3. Documenting current programmable logic controller firmware versions
  4. Identifying manual interventions required per production shift
  5. Measuring overall equipment effectiveness by value stream
  6. Auditing human-machine interface accessibility at operator stations
  7. Reviewing last three years of unplanned downtime root causes
  8. Assessing spare parts availability for legacy motion components
  9. Determining integration capability with enterprise resource planning
  10. Scoring changeover duration against industry benchmarks
  11. Cataloging safety interlock configurations on automated stations
  12. Benchmarking energy consumption per unit produced
Module 2. Defining Throughput Requirements and Gaps
Translate business output targets into measurable production capacity needs.
12 chapters in this module
  1. Converting annual revenue goals into units per day requirements
  2. Calculating theoretical maximum throughput of current lines
  3. Identifying bottleneck stations using takt time analysis
  4. Projecting demand growth by product family over five years
  5. Adjusting output targets for planned product mix changes
  6. Factoring in yield loss during high-speed automation runs
  7. Including scheduled maintenance windows in capacity models
  8. Estimating rework loops from inspection station feedback
  9. Modeling shift overlap periods for continuous operations
  10. Incorporating quality hold times into cycle time calculations
  11. Validating forecast assumptions with sales pipeline data
  12. Stress-testing capacity plans against peak season spikes
Module 3. Evaluating Total Cost of Ownership Scenarios
Build financial models that compare long-term costs of new versus upgraded systems.
12 chapters in this module
  1. Itemizing procurement costs for greenfield robotic cells
  2. Estimating installation labor and facility modification expenses
  3. Forecasting five-year maintenance contracts for new equipment
  4. Calculating depreciation schedules for capital expenditure planning
  5. Quantifying training hours needed for new operator interfaces
  6. Projecting consumables usage for vision-guided robotics
  7. Assessing software licensing fees for supervisory control systems
  8. Including cybersecurity audit requirements in budget models
  9. Estimating floor space reconfiguration impact on workflow
  10. Accounting for decommissioning costs of retired machinery
  11. Comparing utility load increases from modern servo drives
  12. Factoring in insurance premiums for advanced automation
Module 4. Assessing Technical Feasibility and Constraints
Determine what is physically and technically possible within your plant environment.
12 chapters in this module
  1. Verifying floor load ratings for heavy robotic arm installations
  2. Checking overhead crane coverage in proposed cell locations
  3. Confirming compressed air delivery pressure at point of use
  4. Validating electrical service capacity for 24/7 operation
  5. Surveying ambient temperature ranges near proposed zones
  6. Testing network bandwidth for real-time motion control signals
  7. Reviewing fire suppression system compatibility with electronics
  8. Inspecting drainage provisions for coolant recovery systems
  9. Mapping electromagnetic interference sources near controls
  10. Ensuring ergonomic reach envelopes for human attendants
  11. Confirming ventilation rates for laser processing enclosures
  12. Assessing explosion-proofing needs in hazardous areas
Module 5. Building Cross-Functional Alignment
Engage maintenance, engineering, and production teams in shared criteria.
12 chapters in this module
  1. Designing joint assessment forms for equipment reliability
  2. Facilitating workshops to prioritize uptime over speed
  3. Creating common definitions for 'automated' and 'semi-automated'
  4. Aligning maintenance KPIs with automation performance goals
  5. Developing escalation paths for control system failures
  6. Integrating operator feedback into design requirement lists
  7. Establishing change management protocols for line modifications
  8. Scheduling cross-departmental walkthroughs of pilot areas
  9. Setting thresholds for when to repair versus replace
  10. Co-developing spare parts stocking strategies with procurement
  11. Documenting tribal knowledge before retiring legacy machines
  12. Forming tiger teams for rapid response to integration issues
Module 6. Designing Pilot Programs with Clear Metrics
Structure limited-scale tests that generate actionable data, not just demonstrations.
12 chapters in this module
  1. Selecting representative product variants for test runs
  2. Defining success criteria before activating any new cell
  3. Isolating variables during side-by-side performance trials
  4. Installing temporary data loggers for baseline comparison
  5. Running pilots during actual production shifts, not weekends
  6. Capturing first-pass yield during initial robotic cycles
  7. Monitoring tool wear rates under automated loading conditions
  8. Tracking cycle time consistency over 72-hour periods
  9. Measuring scrap rate differences between manual and auto modes
  10. Recording operator intervention frequency during unattended runs
  11. Evaluating end-of-shift cleanup duration for new systems
  12. Using statistical process control charts to validate stability
Module 7. Integrating with Enterprise Systems
Ensure new or upgraded lines communicate effectively with planning and monitoring platforms.
12 chapters in this module
  1. Specifying OPC UA server requirements for machine connectivity
  2. Mapping production order fields from ERP to shop floor
  3. Configuring batch tracking for traceability compliance
  4. Setting up automatic downtime code transmission to MES
  5. Validating real-time OEE dashboards with live data feeds
  6. Testing alarm forwarding to maintenance ticketing systems
  7. Securing API keys for cloud-based performance analytics
  8. Synchronizing recipe changes across multiple controllers
  9. Enabling electronic work instructions at point of assembly
  10. Archiving historical trends for quality audit purposes
  11. Implementing role-based access for remote diagnostics
  12. Planning failover behavior during network interruptions
Module 8. Managing Changeover and Flexibility Needs
Plan for product variation and future model introductions in automation design.
12 chapters in this module
  1. Cataloging current changeover tasks by duration and skill level
  2. Designing quick die-change mechanisms for stamping presses
  3. Programming recipe-driven adjustments for material handling
  4. Using modular end-effectors for mixed-product cells
  5. Simulating changeover sequences in digital twin environments
  6. Reducing tooling setup time with encoded positioning pins
  7. Implementing vision-guided calibration routines for alignment
  8. Storing proven setup parameters in central configuration database
  9. Training multi-skilled technicians on flexible cell operations
  10. Validating minimum batch sizes under new automation rules
  11. Balancing automation depth with required reconfiguration agility
  12. Documenting changeover SOPs with augmented reality overlays
Module 9. Optimizing Human-Machine Workflows
Design roles and responsibilities that maximize collaboration between people and robots.
12 chapters in this module
  1. Conducting time-motion studies of manual loading sequences
  2. Redesigning workstations to eliminate unnecessary reaching
  3. Assigning repetitive precision tasks to collaborative robots
  4. Defining safe interaction zones using light curtain layouts
  5. Scheduling preventive maintenance during low-production windows
  6. Creating visual management boards for shift handovers
  7. Deploying wearable devices for ergonomic strain monitoring
  8. Standardizing communication protocols between operators and AGVs
  9. Designing error-proofing circuits for manual inputs
  10. Integrating voice commands for non-critical system queries
  11. Establishing dual-check procedures for high-risk adjustments
  12. Measuring cognitive load during complex fault recovery
Module 10. Scaling Decisions Across Multiple Lines
Apply lessons from pilots to develop plant-wide deployment strategies.
12 chapters in this module
  1. Ranking production lines by strategic importance and obsolescence
  2. Creating phased rollout timelines based on ROI projections
  3. Allocating shared engineering resources across improvement projects
  4. Standardizing control architectures to reduce spares inventory
  5. Developing master project plans with interdependent milestones
  6. Negotiating volume pricing for repeatable cell designs
  7. Replicating successful pilot configurations with local adaptations
  8. Establishing center of excellence for automation best practices
  9. Rolling out training curricula in sequence with installations
  10. Monitoring fleet-wide performance via centralized dashboard
  11. Updating capital plans annually based on execution learnings
  12. Revising safety certification processes for faster approvals
Module 11. Securing Approvals and Building Business Cases
Present compelling justifications that resonate with finance and executive stakeholders.
12 chapters in this module
  1. Translating downtime reduction into gross margin impact
  2. Linking quality improvements to customer defect penalties avoided
  3. Demonstrating working capital savings from reduced WIP
  4. Highlighting safety incident reduction from automation
  5. Projecting labor reallocation benefits without headcount cuts
  6. Using sensitivity analysis to show risk-adjusted returns
  7. Including option value of delaying full commitment
  8. Comparing internal rate of return across upgrade scenarios
  9. Aligning proposed investments with strategic capacity pillars
  10. Visualizing payback periods using stacked bar timelines
  11. Preparing appendix materials for due diligence requests
  12. Anticipating questions about alternative uses of capital
Module 12. Sustaining Gains and Continuous Improvement
Embed feedback loops that keep automated systems performing at peak levels.
12 chapters in this module
  1. Scheduling regular OEE deep dives by value stream team
  2. Reviewing predictive maintenance alerts for false positives
  3. Updating control logic based on production anomaly logs
  4. Conducting quarterly reviews of automation performance vs target
  5. Refining cycle time standards after process stabilization
  6. Harvesting ideas from frontline operators for small tweaks
  7. Auditing backup procedures for PLC program restoration
  8. Refreshing operator certification on emergency stop protocols
  9. Benchmarking against peer facilities every twelve months
  10. Integrating lean events into automated line kaizen cycles
  11. Adjusting staffing models as automation reliability improves
  12. Planning technology refresh cycles before end-of-life hits

Frequently asked

Is this course about selecting robot brands or control systems?
No. This course does not recommend technologies or vendors. It teaches how to evaluate your own operational needs and make decisions based on your production context.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates to use with my team?
Yes. Every module includes downloadable templates and real-world examples you can adapt for your facility assessments and meetings.
Can this be applied to both discrete and process manufacturing?
Yes. The principles apply to any industrial setting where automation decisions affect throughput, quality, and reliability.
What if my plant uses older control systems?
The course is designed specifically for environments with mixed-age equipment and focuses on pragmatic upgrade pathways.
What formats do the templates come in?
The implementation playbook downloads as PDF and editable XLSX. The course reads in your learning environment and exports to PDF for offline use. The files are yours to keep.
Can I share this with my team?
The licence is per person. Team pricing opens from three seats: reply to the order confirmation with TEAM and we will set it up.
How quickly can I start?
The diagnostic is one sitting and the templates work straight out of the kit. Account access takes up to 24 hours rather than being instant, because every order is checked and updated against the latest sources before it is delivered.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside regular duties over 6–8 weeks..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee·Know your weakest area today·210 scored questions·Course included· Account access within 24 hours
30-day money-back guarantee, no questions asked.
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