Plug-in del sintetizzatore ECAD
Plug-in di declassamento dei componenti e previsione MTBF per un singolo PCB
Plan, stock, and maintain just right
at the lowest lifeācycle cost.
apmOptimizer® is BQR’s decision-support suite for optimizing system / asset / fleet maintenance policies and logistics from, design through operation. It unifies Life Cycle Cost (LCC), Level Of Repair Analysis (LORA), Spare Parts & Inventory, Scheduled / Preventive / Predictive Maintenance (PdM), Risk-Based Inspection (RBI) and performance analysis into one workflow. Import structures and failure data from CARE® (FME(C)A, RBD, failure rates) or Excel / CSV, then model mission profiles, repair policies, lead times and budgets. apmOptimizer® computes the maintenance plan and spares strategy that meets availability targets at minimum LCC, often reducing total maintenance and downtime costs by up to 35%.
apmOptimizer® is On-Prem (not cloud).
Key Features
Life Cycle Cost (LCC)
Optimization with CAPEX/OPEX breakdowns and scenario comparisons.
ā
āā
Level Of Repair
Repair / replace / overhaul decisions with echelon policies and resource constraints.
Scenario Manager
Including site dependent requirements and mission profiles.
Availability
Availability modeling with MTTR / MTBFādriven KPIs.
āā
Field Data Analysis
Fit distributions (Weibull, Exponential, LogāNormal) and update plans accordingly.
Predictive Maintenance
Decision making tool for comparing ROI on investments in PdM systems.
Spare Parts Optimization
Stock levels, reorder points, service levels, multiāechelon policies.
Scheduled Maintenance Optimization
PM intervals, inspections, and overhaul cycles.
RCM / MSGā3 Program Builder
Structure tasks from FME(C)A into actionable maintenance plans.
Key Modules
LCC:
Life Cycle Cost analysis with CAPEX / OPEX breakdowns and scenario comparisons.
Scheduled Maintenance Optimization:
Optimize PM intervals, inspection frequencies and overhaul cycles.
RCM & MSGā3 Management:
Structure tasks from FME(C)A into actionable maintenance programs compliant with industry practices.
LORA:
Level Of Repair Analysis to select repair / replace / overhaul strategies and echelon policies.
PdM & RBI:
Balance condition-based maintenance and inspection plans; ROI assessment for sensors / IIoT.
Field Data Analysis:
Extract failure distributions from field failure logs.
Spare Parts & Inventory Optimization: S
tock levels, reorder points, multi-echelon policies, lead-time and obsolescence handling.
Performance Analysis:
Evaluate availability, downtime, throughput and service level KPIs under mission profiles.
Advanced Modeling Capabilities
Failure modes
Evident, gradual and hidden; mixed distributions (Exponential, Weibull, LogāNormal, Normal).
Constraints & Objectives
Minimize LCC subject to availability / serviceālevel targets and budget / resource limits.
ā
Redundancy and Sparing
hot / cold standby rules, repair queues and resources.
Analysis Capabilities
Analytical solvers for sensitivity, uncertainty and whatāif exploration.
āLogistics
Warehouses / echelons, supplier lead times, minimum order quantities, shelfālife and obsolescence.
System Maintenance Tree & Map
Maintenance Breakdown Tree:
Includes reliability, maintainability and cost data.
Logistic Support Map:
Presents the operation sites, stocks, repair shops, OEMs and transportation routes for each item in the maintenance breakdown tree.
ā
Reliability Block Diagram
Presents the redundancy model of the selected block (Serial, Parallel, K out of N or Stand-By).
Core Benefits
Cut costs
Reduce maintenance, downtime and spare stock while sustaining high SLA / availability.
Smart inventory
Avoid stockāouts and overstock with optimized reorder points and spares.
Faster, better decisions
Rapid analytic runs to converge on feasible, budgetāaligned plans.
Strategic clarity
Quantify tradeāoffs (CAPEX vs. OPEX, PM vs. PdM) with clear ROI indicators.
Designātime integration
Plan logistics and maintenance during design for smoother rollout.
Operational resilience
Fewer bottlenecks, improved readiness and customer satisfaction.
HOW It Works
Data intake
Import product tree, parts and failure data from CARE® (FME(C)A/RBD) or Excel/CSV; define mission profiles and environments.
Model Policies
Set repair/replace strategies, inspection tasks, PdM triggers, logistics echelons, lead times and cost parameters.
Optimize
Run LCC, spares and schedule optimizers; iterate PdM/RBI and LORA decisions to meet availability and budget targets.
Validate & Sensitivity
Use analytics to test robustness to demand, failure rate and leadātime uncertainty.
Report & Deploy
Publish maintenance plans, stock lists and KPIs; export to Excel/Word/HTML and share with operations and procurement.
Integration with BQR's Toolchain
apmOptimizer® operates as part of BQR’s integrated
RAMS reliability ecosystem:
Extracts schematic/BOM and context from ECAD at design time.
Supplies realistic component stresses and MTBF to inform failure rates and lifing assumptions.
Provides FME(C)A, RBD and failure data; closes the loop with safety/maintainability analyses.
Together, these tools provide a digitalātwin maintenance & reliability workflow from schematic to system maintainability, safety and reliability.
Outputs & KPIs
-
LCC breakdown (CAPEX, spares, labor, downtime, logistics).
-
Availability, readiness and expected downtime per asset / fleet; MTTR/MTBFādriven KPIs.
-
Optimized maintenance program (task list, intervals, resource plan).
-
Spare parts policies (stock levels, reorder points, service levels, multiāechelon allocations).
-
ROI for sensors / IIoT and inspection equipment; recommended PdM / RBI configuration.
-
Exportable reports: Excel, Word and HTML; dashboards and Pareto views for cost / risk drivers.
Typical Use Cases
-
Fleets and rolling stock, aviation ground support and defense systems.
-
Oil & gas, utilities, and process industries (rotating equipment, pipelines, substations).
-
Highāthroughput manufacturing lines, robotics and automation cells.
-
Data centers and telecom infrastructure (availabilityācritical services).