Factory Physics¶
Hopp, W. J., & Spearman, M. L. (2008). Factory Physics: Foundations of Manufacturing Management. Waveland Press.
Cited by¶
9 citations across 9 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Asymmetric Flux
- One can stabilise the accumulation where the asymmetry is desirable, ensuring capacity to hold what accumulates through thermal ballast, foreign-reserve buffers, or warehouse capacity.
This sourceDevelops the three buffers — inventory, capacity, and time — and how to size a reservoir to absorb variability, the general operations treatment of holding capacity for an accumulating quantity.
- One can stabilise the accumulation where the asymmetry is desirable, ensuring capacity to hold what accumulates through thermal ballast, foreign-reserve buffers, or warehouse capacity.
- Buffering
- Maintained capacity that absorbs perturbation between source and consumer, smoothing variation and decoupling rate mismatches, a structural pattern Hopp and Spearman (2008) place at the center of operations science as the canonical means of buffering against variability.
This sourcePlaces buffering against variability at the center of operations science, identifying inventory, capacity, and time as the three interchangeable buffers a production system uses to absorb demand and process variability.
- Maintained capacity that absorbs perturbation between source and consumer, smoothing variation and decoupling rate mismatches, a structural pattern Hopp and Spearman (2008) place at the center of operations science as the canonical means of buffering against variability.
- Impedance Mismatch and Coupling Efficiency
- The framework compresses domain-specific coupling-efficiency problems into a unified structure: identify subsystems A and B, the quantity being transferred Q, the characteristic impedance (or property) of each subsystem, the loss function (how efficiency depends on mismatch), and the redesign strategy (impedance transformer in electrical systems, synchronization mechanism in organizational systems, schema adapter in software systems), an interface-friction-and-buffering framework Hopp and Spearman (2008) generalize to operations and supply chains in Factory Physics.
This sourceDevelops inventory, capacity, and time as the three buffers that absorb variability in production systems; the five-role decomposition of reserve (resource, nominal demand, surplus, contingency, draw-down) maps directly onto the buffer-against-variability framing.
- The framework compresses domain-specific coupling-efficiency problems into a unified structure: identify subsystems A and B, the quantity being transferred Q, the characteristic impedance (or property) of each subsystem, the loss function (how efficiency depends on mismatch), and the redesign strategy (impedance transformer in electrical systems, synchronization mechanism in organizational systems, schema adapter in software systems), an interface-friction-and-buffering framework Hopp and Spearman (2008) generalize to operations and supply chains in Factory Physics.
- Mediator Availability Constraint
- Engineering bottlenecks (throughput-limiting stations in a production line, bandwidth-limiting routers in a network) are often addressable by parallel redundancy, capital investment, or technical optimization, as Hopp and Spearman (2008) systematize in Factory Physics.
This sourceDevelops inventory, capacity, and time as the three buffers that absorb variability in production systems; the five-role decomposition of reserve (resource, nominal demand, surplus, contingency, draw-down) maps directly onto the buffer-against-variability framing.
- Engineering bottlenecks (throughput-limiting stations in a production line, bandwidth-limiting routers in a network) are often addressable by parallel redundancy, capital investment, or technical optimization, as Hopp and Spearman (2008) systematize in Factory Physics.
- Receptor Saturation
- As Hopp and Spearman (2008) document for distributed-bottleneck behavior in their factory-physics treatment of capacity utilization,
This sourceDevelops inventory, capacity, and time as the three buffers that absorb variability in production systems; the five-role decomposition of reserve (resource, nominal demand, surplus, contingency, draw-down) maps directly onto the buffer-against-variability framing.
- As Hopp and Spearman (2008) document for distributed-bottleneck behavior in their factory-physics treatment of capacity utilization,
- Reserve
- The surplus persists by policy, not by accident; the contingency is named explicitly; the draw-down is conditional on a triggering deviation from the nominal, the same architecture Hopp and Spearman (2008) develop for inventory and capacity buffers in production systems.
This sourceDevelops inventory, capacity, and time as the three buffers that absorb variability in production systems; the five-role decomposition of reserve (resource, nominal demand, surplus, contingency, draw-down) maps directly onto the buffer-against-variability framing.
- The surplus persists by policy, not by accident; the contingency is named explicitly; the draw-down is conditional on a triggering deviation from the nominal, the same architecture Hopp and Spearman (2008) develop for inventory and capacity buffers in production systems.
- Resource Management
- Resource management appears pervasively across systems at every scale, a point Hopp and Spearman (2008) develop in their Factory Physics treatment of capacity, variability, and inventory across manufacturing and service operations.
This sourceDevelops inventory, capacity, and time as the three buffers that absorb variability in production systems; the five-role decomposition of reserve (resource, nominal demand, surplus, contingency, draw-down) maps directly onto the buffer-against-variability framing.
Supported in partVerified against the work's full text
Publisher's page confirms Factory Physics covers capacity, inventory, and variability in manufacturing management, but says nothing about resource management being pervasive at every scale.
“The authors compare and contrast common problems, including shop floor control, long-range aggregate planning, workforce planning and capacity management.”
- Resource management appears pervasively across systems at every scale, a point Hopp and Spearman (2008) develop in their Factory Physics treatment of capacity, variability, and inventory across manufacturing and service operations.
Domain-specific¶
- Plan-Execute Gap
- Traditional MRP explodes a master production schedule into timed work orders using two idealising assumptions: fixed, constant lead times and effectively infinite capacity.
This sourceA critique of MRP's faulty planning assumptions, including capacity checks (RCCP and CRP) introduced as fixes.
Supported in partVerified against the work's full text
“provides fixes that address some of MRP's faulty [assumptions] (e.g. capacity checks in RCCP and CRP)”
- Traditional MRP explodes a master production schedule into timed work orders using two idealising assumptions: fixed, constant lead times and effectively infinite capacity.
- Staging Area
- The structural commitment — a ready-state reserve, adjacent to the point of active need but outside the active flow, holding prepared resources at bounded residence and short transition latency, decoupling preparation cadence from consumption cadence — genuinely recurs as a co-instance across an unusually wide range of substrates: manufacturing (kanban supermarkets, work-in-process buffers, finished-goods staging), incident command and emergency response (ICS mustering areas, fire-line staging, pre-positioning for hurricanes), cloud computing (hot spares, pre-warmed VM pools, reserved surge capacity), data engineering (staging tables in ETL/ELT), retail (back-of-house ready stock), healthcare (pre-op holding, recovery rooms, ED triage bays as staged patients awaiting transition), hospitality (room-ready housekeeping pools), and construction (staging yards adjacent to build sites).
This sourceThe manufacturing buffer the cited textbook describes, with kanban systems letting workstations draw needed parts from a supermarket just when they need them.
Supported in partVerified against a saved copy of the source
“saw workstations as acting like customers in a supermarket, getting just what they need when they need it”
- The structural commitment — a ready-state reserve, adjacent to the point of active need but outside the active flow, holding prepared resources at bounded residence and short transition latency, decoupling preparation cadence from consumption cadence — genuinely recurs as a co-instance across an unusually wide range of substrates: manufacturing (kanban supermarkets, work-in-process buffers, finished-goods staging), incident command and emergency response (ICS mustering areas, fire-line staging, pre-positioning for hurricanes), cloud computing (hot spares, pre-warmed VM pools, reserved surge capacity), data engineering (staging tables in ETL/ELT), retail (back-of-house ready stock), healthcare (pre-op holding, recovery rooms, ED triage bays as staged patients awaiting transition), hospitality (room-ready housekeeping pools), and construction (staging yards adjacent to build sites).
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 3 of 9 citations: 3 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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