What are the best frameworks for a Director of Operations to use for optimizing our supply chain?

For a Director of Operations, I’d avoid treating “supply-chain optimization” as a single methodology. The strongest approach is to use a stack of complementary frameworks: one for mapping the system, one for finding constraints, one for eliminating waste, one for planning, and one for measuring financial impact.

The framework stack I’d use

Framework	Best for	What it gives you
SCOR / SCOR DS	End-to-end supply-chain architecture	Common processes, metrics, capabilities, benchmarking
Theory of Constraints (TOC)	Finding the biggest bottleneck	Focus on the constraint that limits total throughput
Lean	Removing operational waste	Lower cycle time, inventory, touches and variability
Six Sigma / DMAIC	Persistent quality/process problems	Data-driven root-cause analysis and process control
S&OP / IBP	Aligning demand, supply and financial plans	One operating plan across Sales, Finance and Operations
ABC/XYZ inventory segmentation	Inventory optimization	Different policies for different SKUs
Total Cost of Ownership (TCO)	Procurement/sourcing decisions	Looks beyond purchase price
APQC PCF + benchmarking	Process maturity and benchmarking	Standard process definitions and peer comparisons

1. SCOR: your overall operating blueprint

If you're looking for one framework to organize the whole supply chain, I'd start with ASCM's SCOR Digital Standard.

SCOR DS provides an end-to-end structure covering Orchestrate, Plan, Order, Source, Transform, Fulfill, and Return, along with performance measures, practices and capabilities.ASCM

Think of it as your supply-chain operating-system map:

Strategy → Plan → Buy → Make → Move → Deliver → Return I'd use SCOR to establish:

• Process ownership
• KPI definitions
• Where problems actually occur
• Cross-functional handoffs
• Improvement priorities
• Benchmarking structure

ascm.org

2. Theory of Constraints: find what is actually limiting you

A common operations mistake is trying to improve everything simultaneously.

TOC asks:

“What single constraint is currently limiting system throughput?”

For example:

Demand → Procurement → Production → QC → Warehouse → Shipping

If production capacity is the constraint, making the warehouse 20% more efficient may have almost no effect on total business performance.

The classic TOC cycle is:

1. Identify the constraint
2. Exploit it — maximize what you already have
3. Subordinate everything else to it
4. Elevate it — add capacity/resources
5. Repeat

For a Director of Operations, this is particularly useful for deciding what NOT to work on.

3. Lean: attack waste and flow

Use Lean after you've identified the important value streams.

Look for the classic wastes:

• Waiting
• Transportation
• Inventory
• Motion
• Overproduction
• Overprocessing
• Defects
• Unused talent

But I'd focus less on “doing Lean projects” and more on improving flow.

Useful tools include:

• Value-stream mapping
• Standard work
• 5S
• Visual management
• Kaizen
• Kanban
• SMED/changeover reduction
• Pull systems

The key question becomes:

“How quickly and reliably can an order move from demand to cash?”

4. Six Sigma / DMAIC: when the process is unstable

Lean is excellent at removing waste. Six Sigma is particularly useful when you're dealing with variation and recurring defects.

Use DMAIC:

Define → Measure → Analyze → Improve → Control

Examples:

• Supplier defects
• Picking errors
• Forecast error
• Production variability
• Late shipments
• Returns
• Invoice discrepancies

Don't automatically launch Six Sigma projects everywhere. Use it where variability is materially hurting the operation.

5. S&OP: connect operations to commercial reality

This is arguably one of the most important frameworks for a Director of Operations.

A good S&OP process creates a recurring conversation between:

Demand ↔ Supply ↔ Inventory ↔ Capacity ↔ Finance

The objective isn't merely a better forecast. It's a single agreed operating plan.

A practical monthly cadence:

1. Demand review
2. Supply/capacity review
3. Inventory review
4. Financial reconciliation
5. Executive decision meeting

This prevents Operations from discovering three weeks too late that Sales has committed to demand the supply chain can't support.

6. ABC/XYZ: stop treating every SKU identically

For inventory, combine value and demand behavior.

For example:

This is much more effective than applying one inventory policy to every SKU.

The goal isn't simply lower inventory.

It's:

Maximum service level for the minimum economically necessary inventory.

7. TCO: optimize purchasing, not just price

Procurement teams sometimes optimize:

Unit purchase price

while Operations experiences:

Total cost

TCO should potentially include:

Purchase price + freight + duties + quality costs + inspection + inventory carrying cost + MOQ impact + lead-time cost + payment terms + obsolescence + supplier management

That can dramatically change sourcing decisions.

8. APQC PCF: benchmark the processes themselves

I'd also consider APQC's Process Classification Framework if you're building a more mature operations organization.

It gives you a standardized taxonomy for defining and comparing processes, including supply-chain planning, procurement, manufacturing, warehousing, inventory and logistics.APQC+1

APQC specifically recommends combining process definitions with measures and benchmarking rather than looking at benchmark numbers in isolation.APQC

apqc.org

How I'd combine them

I'd build your operating system roughly like this:

SCOR → Where are the processes and ownership?

S&OP → What are we trying to accomplish?

TOC → What's limiting performance right now?

Lean → How do we improve flow and eliminate waste?

Six Sigma → Why is the process inconsistent?

ABC/XYZ + TCO → How should we manage inventory and suppliers economically?

APQC → How do our processes and metrics compare?

The KPI hierarchy I'd recommend

Don't give your leadership team 40 KPIs. Build a hierarchy.

Level 1 — Business outcomes

• Revenue
• Gross margin
• Operating income
• Cash conversion / working capital
• Customer service

Level 2 — Supply-chain outcomes

• OTIF
• Perfect order rate
• Inventory turns
• Cash-to-cash cycle
• Forecast accuracy/bias
• Fill rate
• Supply-chain cost as % of sales

APQC's current benchmarking guidance similarly emphasizes measures spanning cost, cycle time, efficiency, productivity and service outcomes.APQC

Level 3 — Operational drivers

• Supplier OTIF
• Supplier lead time
• Purchase-order cycle time
• Production cycle time
• Schedule adherence
• Changeover time
• Scrap/rework
• Warehouse productivity
• Picking accuracy
• Transportation utilization
• Inventory accuracy

This creates a driver tree rather than a KPI dashboard that's just a collection of numbers.

If I were starting the role tomorrow

I'd run a 30-60-90 day supply-chain diagnostic:

Days 1–30 — Understand

• Map the end-to-end SCOR processes
• Establish baseline KPIs
• Segment customers/SKUs/suppliers
• Calculate inventory and working-capital exposure
• Identify constraints
• Map major value streams

Days 31–60 — Prioritize

• Quantify the biggest performance gaps
• Identify root causes
• Separate quick wins from structural problems
• Build an improvement portfolio
• Establish S&OP cadence
• Assign process owners

Days 61–90 — Execute

• Attack the biggest constraint
• Launch 2–4 high-value improvement initiatives
• Establish daily/weekly/monthly management rhythms
• Build KPI driver trees
• Quantify financial benefits
• Create a 12-month supply-chain transformation roadmap

The important distinction is that SCOR tells you where to look; TOC tells you where to focus; Lean/Six Sigma tell you how to improve; S&OP keeps the system aligned; and the KPI/financial framework tells you whether the improvement actually matters to the business.

Total cost

TCO should potentially include:

Purchase price + freight + duties + quality costs + inspection + inventory carrying cost + MOQ impact + lead-time cost + payment terms + obsolescence + supplier management

That can dramatically change sourcing decisions.

8. APQC PCF: benchmark the processes themselves

I'd also consider APQC's Process Classification Framework if you're building a more mature operations organization.

It gives you a standardized taxonomy for defining and comparing processes, including supply-chain planning, procurement, manufacturing, warehousing, inventory and logistics.apqc.org+1

APQC specifically recommends combining process definitions with measures and benchmarking rather than looking at benchmark numbers in isolation.apqc.org

For inventory, combine value and demand behavior.

For example:

This is much more effective than applying one inventory policy to every SKU.

The goal isn't simply lower inventory.

It's:

Maximum service level for the minimum economically necessary inventory.

7. TCO: optimize purchasing, not just price

Procurement teams sometimes optimize:

Unit purchase price

while Operations experiences:

Total cost

TCO should potentially include:

Purchase price + freight + duties + quality costs + inspection + inventory carrying cost + MOQ impact + lead-time cost + payment terms + obsolescence + supplier management

That can dramatically change sourcing decisions.

8. APQC PCF: benchmark the processes themselves

I'd also consider APQC's Process Classification Framework if you're building a more mature operations organization.

It gives you a standardized taxonomy for defining and comparing processes, including supply-chain planning, procurement, manufacturing, warehousing, inventory and logistics.

APQC specifically recommends combining process definitions with measures and benchmarking rather than looking at benchmark numbers in isolation.

Optimizing a supply chain requires a mix of strategic alignment, operational efficiency, and continuous improvement. As a Director of Operations, leveraging proven frameworks helps structure complex data, align cross-functional teams, and drive measurable ROI.

• SCOR (Supply Chain Operations Reference) Model : Maintained by the Association for Supply Chain Management (ASCM), SCOR is the gold standard for evaluating and improving supply chain and operations management. It breaks the supply chain down into six core processes: Plan, Source, Make, Deliver, Return, and Enable. Use it to standardize metrics, benchmark performance against industry standards, and map out end-to-end processes.
• Lean Manufacturing / Six Sigma (DMAIC) : Combining Lean (waste elimination) and Six Sigma (variation reduction) via the DMAIC cycle (Define, Measure, Analyze, Improve, Control) is essential for operational excellence. Apply this to eliminate bottlenecks, reduce lead times, and drive continuous quality improvement on the warehouse floor or in transportation workflows.
• Theory of Constraints (TOC) : Developed by Eliyahu M. Goldratt, TOC posits that every complex system has at least one constraint (bottleneck) that limits its ability to reach its highest potential. Use the 5 Focusing Steps (Identify, Exploit, Subordinate, Elevate, Re-evaluate) to systematically find and smash the tightest bottleneck in your fulfillment or manufacturing pipeline.
• S&OP (Sales and Operations Planning) : An integrated business management process that keeps demand and supply in balance. A mature S&OP framework aligns executive strategy with multi-departmental execution (sales, finance, operations, and procurement) to reduce excess inventory and mitigate stockouts.
• Agile Supply Chain Framework : Essential for volatile markets, this framework focuses on velocity, adaptability, and responsiveness. Instead of just optimizing for cost (lean), an agile framework builds redundancy, localized sourcing options, and rapid-response protocols to pivot quickly during market disruptions.
• VMI (Vendor-Managed Inventory) & CPFR (Collaborative Planning, Forecasting, and Replenishment) : These collaborative frameworks shift the burden of inventory management to trusted suppliers or create joint forecasting models with key retail/manufacturing partners. Implementing CPFR drastically improves forecast accuracy and cuts down the bullwhip effect across tiers.

To help narrow down which of these frameworks to tackle first, let me know:

• What is your primary pain point right now (e.g., high inventory costs, late deliveries, or poor forecast accuracy)?
• Is your supply chain primarily manufacturing, retail/distribution, or service-based?

For a Director of Operations, I’d avoid treating supply-chain optimization as a single methodology. The strongest approach is to use a stack of complementary frameworks—one for diagnosing the end-to-end system, others for planning, inventory, process improvement, and constraints.

The 7 frameworks I’d prioritize

Framework	Best for	What you use it to do
SCOR	End-to-end supply chain	Map, benchmark, and prioritize improvements
S&OP / IBP	Demand vs. supply alignment	Connect sales, operations, inventory, capacity, and finance
Lean	Operational efficiency	Eliminate waste, delays, excess inventory, and unnecessary work
Six Sigma / DMAIC	Quality & process variation	Solve recurring operational problems with data
Theory of Constraints	Bottlenecks	Find and exploit the constraint limiting throughput
ABC/XYZ segmentation	Inventory	Differentiate stocking and service policies by SKU
Total Cost to Serve	Strategic tradeoffs	Optimize the whole economics rather than individual departments

1. SCOR — your overarching diagnostic framework

If you want one framework to organize the supply chain, I'd start with SCOR (Supply Chain Operations Reference).

The current SCOR Digital Standard from ASCM provides a standardized way to map processes, benchmark performance, identify gaps, and prioritize improvements across the supply chain.ASCM

Use it to ask:

• Where are our biggest process failures?
• Where are lead times accumulating?
• Where are we carrying unnecessary inventory?
• Where do supplier, manufacturing, and fulfillment processes break down?
• Which KPIs should each process owner be accountable for?

Director-level application: create an end-to-end map from supplier → procurement → production → warehouse → transportation → customer, then establish KPIs and improvement priorities for every major process.

2. S&OP / IBP — your operating rhythm

I'd make Sales & Operations Planning (S&OP) the management cadence that ties the supply chain together.

The objective is to answer:

"Given what we expect customers to buy, what can we actually supply, when, and at what cost?" A good monthly S&OP cycle typically brings together:

1. Demand forecast
2. Supply/capacity plan
3. Inventory position
4. Supplier constraints
5. Production constraints
6. Logistics constraints
7. Financial implications
8. Executive decisions/tradeoffs

More advanced organizations move toward continuous, scenario-based planning rather than treating the forecast as a single number.McKinsey & Company+1

Director-level application: make S&OP the place where conflicts get resolved—not a meeting where people merely report numbers.

3. Lean — attack operational waste

Use Lean when the problem is how work flows.

Look for the classic sources of waste:

• Waiting
• Excess inventory
• Transportation
• Motion
• Overproduction
• Overprocessing
• Defects
• Underutilized people

For example, if an order takes 10 days to fulfill but only requires 6 hours of actual work, Lean asks:

"Where did the other 9+ days go?"

This is particularly powerful in warehouses, purchasing, production scheduling, order management, receiving, and fulfillment.

4. Six Sigma / DMAIC — solve persistent problems

Lean tells you where waste is; Six Sigma is particularly useful for understanding why variation and defects occur.

The DMAIC cycle is:

Define → Measure → Analyze → Improve → Control

Use it for problems such as:

• Supplier quality problems
• Picking errors
• Forecast inaccuracies
• Production defects
• Late shipments
• Inventory discrepancies
• Recurring customer complaints

Don't launch Six Sigma projects for everything. Reserve it for problems where variation or root-cause complexity warrants deeper analysis.

5. Theory of Constraints — find the bottleneck

This is one of the most useful frameworks for an operations leader because organizations frequently try to improve everything except the thing actually limiting output.

Ask:

"What is currently preventing the system from producing more?" Then:

1. Identify the constraint.
2. Exploit it—get maximum useful output from it.
3. Subordinate other processes to it.
4. Elevate the constraint if necessary.
5. Once it moves, find the next constraint.

For example, if a packaging line is your bottleneck, making upstream purchasing 20% more efficient may accomplish almost nothing if finished goods still can't get through packaging.

This helps prevent the classic departmental-optimization problem where procurement, manufacturing, warehousing, and logistics each hit their own targets while the end-to-end system gets worse.

6. ABC/XYZ segmentation — stop treating every SKU the same

This is particularly important for inventory optimization.

ABC generally segments by economic importance:

• A: high-value/important
• B: medium
• C: low

XYZ adds demand predictability:

• X: predictable
• Y: variable
• Z: highly unpredictable

So an AX SKU and a CZ SKU shouldn't have the same forecasting, replenishment, safety-stock, or service-level policy.

More sophisticated supply chains increasingly use dynamic segmentation based on customer requirements, lead times, variability, and economics.McKinsey & Company+1

7. Total Cost to Serve — the executive framework

This is the one I'd emphasize at the Director level.

Don't optimize:

procurement cost or

freight cost or

warehouse cost individually.

Optimize:

total cost to serve the customer while meeting the required service level. For example, a supplier with a 5% cheaper unit price may actually be more expensive if it creates:

• larger MOQs
• longer lead times
• more inventory
• more stockouts
• more expedited freight
• more quality problems
• more administrative work

The right question becomes:

"What is the total economic impact of this decision across the entire system?"

How I'd combine them

If I were building an operating system for a Director of Operations, I'd use this hierarchy:

SCOR ↓ Map the entire supply chain

S&OP ↓ Create the planning and decision cadence

ABC/XYZ + Total Cost to Serve ↓ Segment customers, products, and inventory policies

Lean + Six Sigma ↓ Improve processes and eliminate waste/variation

Theory of Constraints ↓ Focus resources on the current system bottleneck

Analytics/automation/AI ↓ Automate decisions and exception management where the process is mature

This combination is much more powerful than simply saying "we're going to implement Lean."

The KPI framework I'd put underneath it

I'd also build a balanced supply-chain scorecard, rather than allowing every department to optimize its own metric:

Customer

• OTIF
• Fill rate
• Perfect order rate
• Customer lead time

Inventory

• Inventory turns
• Days of supply
• Stockout rate
• Excess/obsolete inventory

Operations

• Throughput
• OEE, where applicable
• Schedule adherence
• Cycle time

Procurement

• Supplier OTIF
• Supplier lead time
• Quality/PPM
• Purchase-price variance

Logistics

• Freight cost/order
• Transportation utilization
• Warehouse productivity

Financial

• Cost to serve
• Gross margin
• Working capital
• Cash conversion cycle

The key is to tie these together. A supply-chain transformation should ultimately connect operational metrics to P&L and balance-sheet outcomes; McKinsey similarly emphasizes that isolated process improvements often fail when the underlying operating model isn't changed.McKinsey & Company+1

If you only implement five

I'd choose:

1. SCOR — diagnose the system.
2. S&OP — manage demand/supply decisions.
3. ABC/XYZ — optimize inventory policies.
4. Lean + Six Sigma — improve processes.
5. Theory of Constraints + Total Cost to Serve — prioritize where to spend resources.

That gives a Director of Operations a practical framework covering strategy → planning → inventory → execution → continuous improvement → financial impact.

If you tell me your industry, approximate company size, and whether you're primarily manufacturing, distribution, services, or e-commerce, I can turn this into a 90-day supply-chain optimization playbook with specific KPIs, meeting cadence, analyses, and projects.

Operations

• Throughput
• OEE, where applicable
• Schedule adherence
• Cycle time

Procurement

• Supplier OTIF
• Supplier lead time
• Quality/PPM
• Purchase-price variance

Logistics

• Freight cost/order
• Transportation utilization
• Warehouse productivity

Financial

• Cost to serve
• Gross margin
• Working capital
• Cash conversion cycle

The key is to tie these together. A supply-chain transformation should ultimately connect operational metrics to P&L and balance-sheet outcomes; McKinsey similarly emphasizes that isolated process improvements often fail when the underlying operating model isn't changed.

If you only implement five

I'd choose:

total cost to serve the customer while meeting the required service level.

If you’re a Director of Operations, I’d avoid picking one “supply-chain framework.” The strongest approach is to use SCOR as the operating model, then layer Lean/Six Sigma, S&OP/IBP, inventory optimization, and KPI management on top.

The frameworks I’d prioritize

Framework	Best for	What you actually use it for
SCOR / SCOR DS	End-to-end supply-chain design	Map processes, identify gaps, benchmark performance
Lean	Removing waste and improving flow	Reduce lead times, excess handling, rework, waiting
Six Sigma / DMAIC	Solving chronic problems	Root-cause analysis, variation reduction, quality
S&OP / IBP	Aligning demand, supply & finance	Make/Buy decisions, capacity, inventory, forecasts
Inventory segmentation	Working capital	Set differentiated service levels, safety stock & reorder policies
TOC	Capacity constraints	Find and exploit the bottleneck
APQC PCF	Process governance & benchmarking	Standardize processes, ownership and KPIs

1. SCOR — your overarching framework

My first choice would be SCOR (Supply Chain Operations Reference), particularly the current SCOR Digital Standard from ASCM.

SCOR gives you a common language for looking across the entire chain rather than optimizing individual departments. The current framework covers Orchestrate, Plan, Order, Source, Transform, Fulfill and Return, and is explicitly designed around process assessment, metrics and improvement.ASCM+1

For a Director of Operations, I'd use it to build a simple hierarchy:

Strategy → Process → KPI → Root cause → Improvement initiative → Financial impact

For example:

Poor OTIF → Fulfill → carrier/warehouse variability → root-cause analysis → routing/warehouse project → $X annual savings. That keeps improvement projects connected to business outcomes.

2. Lean — for operational efficiency

Use Lean when the problem is primarily:

• Too much waiting
• Excess movement/handling
• Long lead times
• Excess inventory/WIP
• Rework
• Poor warehouse flow
• Overprocessing
• Unnecessary approvals

The key concept isn't simply "cut costs." It's improve flow and eliminate activities that don't create customer value.

For operations, I'd particularly use:

Value-stream mapping → identify bottlenecks/waste → redesign flow → standard work → visual management → daily management.

3. Six Sigma / DMAIC — for problems that won't go away

Lean is excellent for flow; Six Sigma is excellent for variation and root causes.

Use DMAIC:

Define → Measure → Analyze → Improve → Control

For example, if your supplier OTIF has been stuck around 82% for six months, don't launch another generic "supplier improvement initiative." Use DMAIC to determine whether the problem is:

• Forecast accuracy
• Supplier capacity
• PO timing
• MOQ constraints
• Transportation
• Receiving
• Quality holds
• Master-data problems

Then attack the actual cause.

4. S&OP / IBP — for balancing demand and supply

This is arguably the most important management framework once you have meaningful demand/supply complexity.

A good S&OP process connects:

Demand → Supply → Inventory → Capacity → Financial plan → Executive decision

The Director of Operations should be asking every month:

"Given what we expect customers to buy, what can we actually supply, when can we supply it, how much inventory/capacity will that require, and what does it do to the P&L?" That prevents Sales, Operations, Procurement and Finance from each optimizing their own numbers.

5. Inventory segmentation — for working capital

Don't manage every SKU identically.

I'd combine ABC analysis + demand variability + criticality + margin/service requirements.

For example:

The goal is not simply lower inventory.

It's:

Minimum inventory consistent with the required service level.

6. Theory of Constraints — when capacity is the problem

TOC is incredibly useful when everyone says they're busy but the business still isn't producing enough.

Ask:

What is the single constraint limiting total system throughput? Then:

1. Identify the constraint.
2. Get maximum useful output from it.
3. Align everything else around it.
4. Increase its capacity.
5. Find the next constraint.

This can be much more powerful than asking every department to become 5% more efficient.

7. APQC PCF — for process governance

I'd use APQC's Process Classification Framework (PCF) when you're trying to establish consistent processes, ownership and benchmarks across the organization.

APQC describes the PCF as a standardized taxonomy that lets organizations define, compare and benchmark processes; its supply-chain framework covers the processes and measures needed to assess supply-chain performance.APQC+1

It's particularly useful if you have grown quickly and have:

• Different processes by location
• Tribal knowledge
• Unclear ownership
• Inconsistent KPIs
• ERP processes that don't match reality
• Lots of manual workarounds

How I'd combine them

Rather than implementing seven frameworks independently, I'd create this Operations Excellence stack:

                 BUSINESS STRATEGY
                        │
                 S&OP / IBP
                        │
              ┌─────────┴─────────┐
              │                   │
           DEMAND              SUPPLY
              │                   │
              └─────────┬─────────┘
                        │
                    SCOR DS
                        │
       ┌────────────────┼────────────────┐
       │                │                │
     LEAN            SIX SIGMA          TOC
       │                │                │
       └────────────────┼────────────────┘
                        │
             INVENTORY OPTIMIZATION
                        │
                KPI / DAILY MANAGEMENT
                        │
                  FINANCIAL RESULTS

The KPI framework I'd put underneath it

I'd keep the executive dashboard relatively small.

Customer

• OTIF / service level
• Fill rate
• Perfect order rate

Speed

• End-to-end lead time
• Order cycle time
• Supplier lead time

Inventory

• Inventory turns
• Days of supply
• Excess & obsolete inventory
• Cash tied up in inventory

Cost

• Freight per unit/order
• Procurement savings
• Cost to serve
• Warehousing cost

Quality

• Supplier PPM
• Defect/rework rate
• Returns

Planning

• Forecast accuracy
• Forecast bias
• Schedule adherence
• Capacity utilization

Financial

• Gross margin
• Working capital
• Cash conversion cycle
• Savings realized vs. plan

The critical point is to connect operational KPIs to financial outcomes. Otherwise you can end up celebrating improvements that actually make the business worse.

If I were stepping into the Director role

I'd probably use this sequence:

First 30 days — Diagnose

• Map the end-to-end supply chain using SCOR.
• Establish baseline KPIs.
• Identify the top 5 constraints.
• Quantify inventory, service and cost problems.

Days 30–60 — Prioritize

• Segment inventory.
• Analyze demand/supply alignment.
• Identify the system constraint.
• Run Pareto/root-cause analyses.
• Quantify the financial opportunity.

Days 60–90 — Execute

• Launch 3–5 high-value improvement projects.
• Establish S&OP cadence.
• Implement daily/weekly operational management.
• Assign KPI ownership.
• Track benefits in dollars, not just percentages.

After 90 days — Institutionalize

• Standard work
• Process ownership
• Continuous-improvement pipeline
• Supplier performance management
• Quarterly network/capacity reviews

If you only adopt three: I'd choose SCOR + Lean/Six Sigma + S&OP/IBP. SCOR tells you where and what to improve, Lean/Six Sigma tells you how to improve it, and S&OP makes sure the organization is making the right decisions before problems hit operations.

For reference, ASCM currently provides SCOR DS as an open-access supply-chain standard, while APQC's PCF is particularly strong for process standardization and benchmarking.ASCM+1

If you tell me your industry, approximate revenue/SKU count, number of warehouses/plants, and whether you're primarily manufacturing, distribution, or e-commerce, I can turn this into a Director of Operations supply-chain framework with a KPI dashboard, meeting cadence, and 90-day implementation plan tailored to your environment.