How Did TotalPlant™ Reengineering Drive Transformation at Honeywell IAC?
- Jun 29, 2024
- 7 min read
Updated: 6 days ago

Honeywell’s Industrial Automation & Control (IAC) operation in Phoenix used a factory-focused reengineering approach called TotalPlant™ to improve quality and flow. Publicly documented accounts describe a transformation anchored on four principles—process mapping, fail-safing, teamwork, and communication—and report major gains (e.g., defect reduction, cycle-time and inventory improvements) over a few years. (Academia)This article breaks down what’s known, what’s transferable, and how to apply the same approach in your organization with a practical, step-by-step playbook and templates.
Background: what TotalPlant™ meant in this transformation
In the IAC case, TotalPlant™ is described as a factory-focused program intended to unify business and operational execution, with a strong customer satisfaction orientation and quality-system discipline. (Academia)
It is also worth noting that “TotalPlant” is used by Honeywell in other contexts (e.g., plant solutions/modernization branding). Don’t let that distract you—the transferable learning here is the reengineering method and operating model, not a specific product. (Process Automation)
The context at Honeywell IAC (what public sources say)
Publicly available material describes Honeywell’s IAC unit in Phoenix designing/manufacturing process control systems (including the TDC 3000X family) for heavy-industry customers. (OrgEvo)
A detailed published case study reports that, over a little more than three years, teams reduced:
defect rates (reported ~70%)
customer rejects (reported ~57%)
cycle time on parts (reported ~72%)
inventory investment (reported ~46%)
customer lead times (reported >70%) (Academia)
These reported outcomes are significant—but the deeper lesson is how the work was structured and governed so execution stayed consistent.
The four principles that made TotalPlant™ work
Multiple sources describing the Honeywell IAC transformation highlight four pillars: process mapping, fail-safing, teamwork, and communication. (OrgEvo)
1) Process mapping
Process mapping creates a shared, visual “language” of how work and information flow across functions—useful for spotting handoffs, delays, rework loops, and unnecessary approvals. (OrgEvo)
2) Fail-safing (defect prevention)
Fail-safing focuses on preventing defects by identifying failure modes, isolating root causes, and implementing controls—often iterating via PDCA/PDSA-style loops. (OrgEvo)
3) Teamwork (cross-functional execution)
The case study emphasizes empowered, factory-focused teams—and the practical challenge of preventing “sub-optimization” across value-chain handoffs (“white spaces”). (Academia)
4) Communication (alignment + adoption)
Open communication is treated as a foundational capability: communicating vision, reinforcing behaviors daily, and training teams in conflict resolution and problem-solving. (OrgEvo)
What organizations often get wrong when copying BPR
Business Process Reengineering (BPR) is widely defined as fundamental rethinking and radical redesign of core processes to achieve dramatic performance improvement. (Springer)Common failure patterns include:
Mapping without measurement: beautiful diagrams, no cycle-time/defect baseline
Local optimization: teams improve their silo but worsen end-to-end flow (“white spaces”) (Academia)
Tool-first thinking: “we bought software” instead of fixing process definitions and decision rights
Weak governance: no steering cadence, unclear priorities, no change control
Culture ignored: insufficient training/enablement; managers still “run” teams instead of enabling them (OrgEvo)
A practical implementation playbook (reuse this)
Below is a proven, transferable sequence that mirrors the logic behind the TotalPlant™ pillars, while aligning with standard quality management concepts like the process approach and PDCA. (ISO)
Step 1: Define the “end-to-end” scope (and pick a single process owner)
Inputs: customer complaint themes, cost-of-poor-quality signals, delivery delays, inventory painRoles: executive sponsor, process owner, operations lead, quality lead, IT/analytics, frontline repsOutputs: one-page charter:
process boundaries (start/end)
customer(s) and their CTQs (critical-to-quality)
baseline KPIs (see Step 2)
non-negotiables (safety, compliance, customer commitments)
Checkpoint: one accountable owner for end-to-end performance (not per department).
Internal read (helpful for setting boundaries and levels):https://www.orgevo.in/post/a-quick-guide-to-business-process-architecture-mapping
Step 2: Establish the baseline and measurement spec (before redesign)
Track a small set of operational KPIs:
lead time / cycle time (end-to-end)
defects/rework rate (by defect type)
customer rejects/returns (if applicable)
inventory/queue time (where work piles up)
first-pass yield (where relevant)
Outputs: measurement spec (definitions, data source, refresh cadence, dashboard owner)
Internal read (useful for operational KPI systems):https://www.orgevo.in/post/how-can-you-implement-an-effective-performance-management-system-in-your-company
Step 3: Build the “As-Is” process map (with real work, not theory)
Use a facilitated mapping session, focusing on:
handoffs and waiting points
approvals and re-entry loops
information dependencies (what must be true for the next step)
decision rules (what triggers yes/no)
Process mapping is explicitly positioned as a way to see across functional boundaries and create a common language for change. (Academia)
Outputs: As-Is map + list of constraints + “top 10 delays”
Step 4: Quantify cycle time and identify non-value-added work
Calculate:
elapsed time end-to-end
time in work vs time waiting
travel/transfer distance (physical or digital)
variance (why some cases take 2× longer)
Then tag steps as:
value-added
required non-value-added (e.g., regulatory)
pure waste (remove)
Step 5: Redesign into a “Should-Be” map (optimize the whole system)
This is where many teams fail—because they redesign locally. Use these guardrails:
optimize for the customer outcome, not departmental efficiency
reduce handoffs and approval layers
standardize decision rules where possible
move decisions closer to where work happens (with controls)
Output: Should-Be map + policy changes + decision-rights updates
Internal read (continuous improvement mechanics):https://www.orgevo.in/post/how-can-you-implement-effective-operations-optimization-and-continuous-process-improvement-cpi-in
Step 6: Implement fail-safing (defect prevention) as a formal loop
A practical fail-safing loop:
classify defects and frequency
identify root causes (process, training, tooling, information)
design preventive controls (checks, automation, poka-yoke, standard work)
run PDCA/PDSA iteration cycles to validate improvement (The W. Edwards Deming Institute)
update standards and training; audit adherence
Output: defect-prevention register + control plan + updated SOPs
Step 7: Build the team operating model (so improvements stick)
In the Honeywell case, teamwork was built deliberately through training, empowerment, and shifting managers to enable rather than “run” teams. (Academia)
Minimum viable team model:
cross-functional core team (process owner + frontline + quality + IT)
weekly improvement cadence (30–45 minutes)
visible backlog + prioritization rules
escalation path for policy/structural blockers
recognition tied to end-to-end outcomes (not silo output)
Output: RACI + cadence + backlog system
Step 8: Communication and change enablement (treat it as a capability)
Communication in TotalPlant™ wasn’t “send a memo”—it was skills + daily reinforcement (conflict handling, listening, problem-solving). (OrgEvo)
Outputs:
stakeholder map (who is impacted, how, and when)
training plan (skills + tools)
adoption metrics (SOP usage, compliance, cycle-time stability)
Internal read (large change governance):https://www.orgevo.in/post/how-can-you-implement-effective-integrated-strategic-change-and-large-group-interventions-in-your-co
Templates you can copy
1) Process mapping session checklist (2 hours)
✅ confirm process boundaries and owner
✅ list customers + CTQs
✅ walk the real workflow (5–10 recent cases)
✅ capture all handoffs and approvals
✅ tag where work waits and why
✅ agree baseline KPIs and data sources
✅ produce As-Is map + top 10 improvement targets
2) “White space” handoff audit (prevents sub-optimization)
For each handoff between teams:
What triggers the handoff?
What information must be complete?
What defects occur at this boundary?
What is the average waiting time here?
Who can fix the root cause—and do they have authority?
What single metric proves this handoff improved?
This directly addresses the cross-link gaps highlighted in the Honeywell case study discussion of “white spaces.” (Academia)
3) Control plan (fail-safing)
Defect type | Root cause | Preventive control | Owner | Check frequency | Evidence |
Example: wrong configuration | unclear spec | mandatory spec checklist + automated validation | Eng | every order | checklist + log |
What to copy from Honeywell IAC (and what not to)
Copy this
Use process mapping + measurement to expose real constraints (asq.org)
Formalize defect prevention and iterate with PDCA/PDSA (The W. Edwards Deming Institute)
Build cross-functional teams that own end-to-end outcomes, not departmental metrics (Academia)
Treat communication as a trained capability, not a broadcast (OrgEvo)
Don’t copy this blindly
“Radical” redesign without data discipline
Incentives that reward speed while hiding quality problems
Tool-driven “reengineering” without decision-rights change
DIY vs. expert support
DIY works when
you can assign a true end-to-end process owner
your baseline data is available (even if messy)
leadership will remove blockers quickly (policy, approvals, resourcing)
Consider expert help when
multiple plants/regions must align on one operating model
handoff issues span procurement → manufacturing → distribution
you need governance across quality systems, IT architecture, and change enablement at scale
Internal read (capability-based structuring for transformations):https://www.orgevo.in/post/how-can-you-build-a-robust-capability-architecture-with-ai-to-achieve-strategic-objectives
Conclusion
The TotalPlant™ reengineering story at Honeywell IAC is compelling because it ties “reengineering” to a concrete operating model: map the work, prevent defects, enable teams, and communicate relentlessly—then measure what changed. Public sources report dramatic gains across defects, cycle times, inventory, and lead times, reinforcing that execution discipline matters as much as redesign. (Academia)
If you want help implementing this in your organization, contact OrgEvo Consulting.
FAQ
1) What is business process reengineering (BPR) in practical terms?
BPR is the fundamental rethinking and redesign of core processes to achieve major improvements in measures like cost, quality, service, and speed. (Springer)
2) What’s the difference between process mapping and process redesign?
Mapping documents how work actually flows today; redesign changes structure, decision rights, controls, and handoffs to improve outcomes. (asq.org)
3) How do you measure cycle time correctly?
Measure elapsed time start-to-finish and split it into “work time” vs “waiting time,” then analyze variance (why some cases take longer).
4) What is fail-safing and how is it different from inspection?
Fail-safing prevents defects by designing controls into the process; inspection finds defects after they occur. PDCA/PDSA loops help validate prevention changes. (The W. Edwards Deming Institute)
5) Why do reengineering efforts fail even with a good process map?
Because teams optimize locally, governance is weak, and decision rights don’t change—so the process reverts to old behaviors.
6) How do you prevent “white space” failures between departments?
Audit handoffs, set completeness criteria for inputs, measure waiting time at boundaries, and assign end-to-end ownership so teams optimize the whole chain. (Academia)
7) Does ISO 9000/9001 matter for reengineering?
ISO guidance emphasizes the process approach and PDCA as a way to manage and improve processes, which supports disciplined reengineering and control. (ISO)
8) What’s a reasonable first process to reengineer?
Choose one with high customer pain (rejects, delays), high rework/defects, and cross-functional handoffs—where improvements will show quickly.
References
Honeywell IAC BPR / TotalPlant™ case study write-up (publicly posted PDF page text) (Academia)
ISO guidance on the process approach and PDCA (ISO)
Deming Institute: PDSA cycle (The W. Edwards Deming Institute)
ASQ: process mapping + PDCA cycle (asq.org)
Supporting mention of the four TotalPlant™ principles in OD literature excerpts (PubHTML5)




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