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[L1] Functional orientation
Each department optimizes its own goals (sales=revenue, ops=cost, purchasing=price, SC=inventory), causing silos, hand-offs, and fragmented ownership between functions.
[L1] Process orientation
Cross-functional, end-to-end, customer-focused view of work; fewer hand-offs and higher quality when they do occur, since parties understand each other's needs.
[L1] Input-transformation-output model
Suppliers -> Inputs -> Transformation -> Outputs -> Customers, wrapped by a Management System (with a filter) and surrounded by Context. Management system plans/controls/measures/improves.
[L1] Undesired outputs
Defects, delays, waste, emissions - byproducts of a process that no one wants.
[L1] Sociotechnical systems
Systems have a hard part (machines, equipment, materials, tech) and a soft part (people, incentives, skills, motivation); performance depends on both jointly. Illustrated by the Hawthorne lighting experiments.
[L1] Product-process matrix
Matches process type to volume/variety: Project -> Job shop -> Batch -> Line -> Continuous, as volume rises and variety falls. Mismatch (off-diagonal) = poor fit.
[L1] Effectiveness
External view: does the process meet customer/market requirements (quality, cost, delivery)?
[L1] Efficiency
Internal view: how well resources are used relative to a standard or benchmark.
[L1] Productivity
Total outputs / total inputs - an absolute ratio, not relative to a benchmark.
[L1] Principle #1
All operations are composed of processes.
[L1] Principle #2
Variation is inherent in all process inputs, tasks, and outputs. (Can be buffered by time, inventory, or capacity.)
[L1] Principle #3
Work-in-process is determined by throughput rate and throughput time (Little's Law).
[L1] Principle #4
Complexity in process design amplifies managerial challenges.
[L1] Principle #5
Process choice requires fit between the task and external requirements.
[L1] Principle #6
No single measure can capture the performance of a process.
[L1] Principle #7
Process metrics can drive unintended behavior.
[L1] Principle #8
Processes are improved by reductions in throughput time or in undesired variation. (Subprinciple: unmanaged processes deteriorate over time.)
[L1] Principle #9
The rate of process improvement is subject to diminishing returns.
[L1] Principle #10
Processes do not operate in isolation. (Structure drives behavior.)
[L1] Process Change Cycle - 4 stages
Process Measurement -> Process Characterization -> Process Analysis -> Process Improvement (Baker & Maddux).
[L1] Process Change Cycle - alt names
Change Driver -> Change Description -> Change Dissection -> Change Delivery (same 4 stages as above, different framing).
[L1] Rummler & Brache 11 steps (in order)
1) Identify critical business issue 2) Select critical process 3) Select team 4) Train team 5) Develop is-map 6) Find disconnects 7) Analyze disconnects 8) Develop should-map 9) Establish measures 10) Recommend changes 11) Implement changes.
[L1] Internal interface: Operations-Marketing/Sales
Clash over production planning (forecast trust), capacity planning, quality (conformance vs market fit), and new product introduction pace.
[L1] Internal interface: Operations-Engineering
Clash over design for manufacturability, pace of new product introduction, and need for reserve capacity for test/experimental runs.
[L1] Internal interface: Operations-Finance
Clash over equipment utilization (finance wants high utilization to "justify" cost; ops sees idle capacity as fine) and inventory (finance sees cost; ops sees useful buffer).
[L2] Mapping rule: gemba
Go to the actual workplace to capture the real process, not the process as people think it works.
[L2] Mapping rule: vital few
Capture the main aspects and stages, not every possible detail - aim for useful, not exhaustive.
[L2] Mapping rule: consistent methodology
Apply the same mapping method throughout so results are comparable.
[L2] Flowchart (basic)
Shows the sequence of activities, decisions and flows; builds shared understanding of how a process works.
[L2] Value-stream mapping
Maps material and information flow with a timeline; good for repetitive operations, Lean improvement, current-vs-future state comparison. Limitation: static, linear, one product family at a time.
[L2] Spaghetti diagram
Maps the physical movement of people/materials; measures total distance traveled and number of times an item is handled. Captures empirical "as-is" reality, unlike a theoretical flow diagram.
[L2] IDEF0
Hierarchical mapping method; each box = a process, distinguishing Inputs, Outputs, Controls/constraints, Mechanisms/resources. Can decompose from Level 0 into more detail.
[L2] Measurement categories (Ch.7)
Quality (defects, complaints, rework), Quantity (inventory, output), Time (throughput time, lead time, lateness), Cost/resource use, Flexibility, Environmental/social effects.
[L2] Sandcone model
Process improvement must build in sequence: capable -> dependable/in control -> faster (swift, even flow). You can't skip layers and expect improvements to stick.
[L2] Backsliding
A process improvement slides back to its original performance level, wasting the investment; often caused by short-term metrics and lack of follow-up.
[L2] Bunny-hop
Repeated cycles of backsliding as each new manager launches a new improvement wave that quickly fades, causing "initiative fatigue" among staff.
[L3] Competitive priorities
Quality, delivery speed, delivery reliability, price/cost, volume flexibility, product-mix flexibility - the market-facing factors operations must support.
[L3] Order qualifier (OQ)
Minimum criteria required just to be considered by the customer; threshold-based; meeting it does not win the order, but falling below it removes you from consideration.
[L3] Order winner (OW)
Criteria that cause the customer to choose one qualified supplier over another; requires being relatively better than competitors, not just adequate.
[L3] Six decision categories
Process, Capacity, Facilities, Vertical integration/SCM, Organization, Planning & control systems.
[L3] Lead capacity strategy
Install capacity ahead of demand. Pro: short lead times, flexibility. Con: lower utilization, cost of excess capacity.
[L3] Lag capacity strategy
Install capacity only after demand is established. Pro: high utilization. Con: risk of under-capacity, lost orders.
[L3] Track capacity strategy
Increase capacity incrementally to follow demand closely; alternates between slight excess and slight shortfall.
[L4] Flow rate / throughput rate (R)
Average number of units completed per unit of time.
[L4] Flow time / throughput time (T)
Average time a unit spends in the process, start to finish.
[L4] Inventory / WIP (I)
Average number of units inside the process at a given time.
[L4] Little's Law
I = R x T (equivalently WIP=THCT, or L=lambdaW). Requires a stable process (consistent in/outflow) and consistent units.
[L4] Capacity (per resource)
Available resource time / time required per flow unit.
[L4] Bottleneck
The resource with the lowest effective capacity; determines the capacity of the whole process. Improving a non-bottleneck does not raise total output.
[L4] Flow-time efficiency
Theoretical flow time / Actual flow time. Low ratio = most elapsed time is non-value-adding (waiting, queuing, rework).
[L4] Utilization (rho)
rho = R / Rp, where R = actual throughput rate (= inflow rate when stable) and Rp = process/service rate (capacity).
[L4] Coefficient of variation (C)
Standard deviation / mean. Ca = for interarrival times, Cs = for processing times.
[L4] Single-server queueing formula
Iq = [rho^2 / (1-rho)] x [(Ca^2 + Cs^2) / 2]. Iq = avg inventory waiting in queue (not being served).
[L4] M/M/1 special case
When Ca = Cs = 1 (exponential arrivals & service), formula reduces to Iq = rho^2 / (1-rho).
[L4] Three buffers against variation
Capacity buffer (excess capacity), Inventory buffer (hold stock), Time buffer (longer lead times/queues). Substitutes for each other to a degree.
[L5] S&OP purpose
Long-term, aggregate planning process that balances demand and supply and links strategic planning to operational planning; ~1.5-2 year horizon, monthly periods, product-family level.
[L5] S&OP monthly process - 4 stages
1) Demand planning (marketing/sales forecasts) 2) Supply planning (purchasing/SC feasibility) 3) Balancing meeting (resolve demand-supply mismatch, capacity strategy, finance checks viability) 4) Decision meeting (executives finalize total volume).
[L5] Level strategy
Produce at a constant rate regardless of demand fluctuation; relies on inventory to absorb variation. Fits high-volume, standardized, stable products.
[L5] Chase strategy
Adjust production rate to match demand as closely as possible; relies on flexible capacity (overtime, hiring). Fits low-volume, customized, variable products.
[L5] Hybrid strategy
Mix of level and chase - partially adjusts production, partially uses inventory as buffer.
[L5] Grimson & Pyke S&OP maturity - 5 stages
1) No S&OP 2) Reactive 3) Standard 4) Advanced 5) Proactive. Progression: silos -> cross-functional/external collaboration; no ownership -> executive-supported teams; operational metrics -> forecast accuracy/profitability metrics; spreadsheets -> integrated ERP.
[L5] Grimson & Pyke key conclusion
Business-process maturity, collaboration, and leadership matter more than sophisticated IT - software enables S&OP but doesn't create it.