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™apmOptimizerAsset�Maintenance�andLifecycle�Cost�Optimization
apmOptimizer�is�a�decision-support�solution�that�helps�organizations�reduce�their�maintenance�and�lifecycle�asset�costs,�while�increasing�their�availability,�confidence� and� performance.� � apmOptimizer� uses� innovative� unique�algorithms� and� RCM/ILS� methodologies� to� build� an� optimal� asset�maintenance� model� that� covers� maintenance� policies,� maintenance�schedules,�maintenance-related�resources�and�supply�chain�logistics.��The�costs�of�spare�parts,�maintenance�and�logistics�represent�a�major�factor�of�current�and�future�asset�expenditures.�These�costs�must�be�carefully�considered�during�the�design,�deployment�and�operation�phases.�Incorrectly�defining�maintenance�strategy�may�impact�assetsʼ�performance�for�their�entire�lifespan�and�considerably�decrease�profit�margins.�At�the�same�time,��critical�choices�must�be�made�in�order�to�achieve�efficiency�goals�within�budgetary�constraints.�
apmOptimizerʼs�reliability-based�algorithms�perform�exact�analytical�calculations�(not�Monte-Carlo�simulations)�and�bottom-up�result�propagation�to�optimize� the�number�of�spares� (and�spare�mix)� in�order� to� reduce�the�spare�provisioning�budget.�These�calculations�require�only�a�few�minutes,�even�for�large�projects.�
The�apmOptimizer�is�the�best�maintenance�strategy�and�spare�parts�optimization�solution,�whether�you�are�designing�a�new�asset,�completely�reviewing�your�entire�maintenance�concept�or�improving�your�current�maintenance�strategies.�
BQRʼs�algorithms�are�superior�to�all�existing�commercial�algorithms�for�maintenance�planning�optimization�and�spare�provisioning.�
Optimizing� Your� Maintenance� Strategy� andSparing�is�the�Key�to�Cost�Savings�and�Efficiency�
Superior�Optimization�Algorithms�
apmOptimizer�Workflow
AerospaceAutomotiveRailDefenseWind�Energy
Oil�&�GasIndustrial�ManufacturingPharmaceuticalElectronicsChemical
Asset ERP�/�EAM�/�CMMS
Standards
MethodologiesRCM�,�RBI�,�MSG�-3,�ILS
Reliability�DataBases
External�DataCARE
Failure�Modes
Core�DataBase
Predicted�Data
apmOptimizer
Deliverables
Optimal�Maint.�Concept
Optimal�Metrics
Optimization�Reports
$
LORO BusinessAnalytics
Life�cycleCosts
ProductionPerformance
PMO
PIO
S2A
R2A
Optimization�ModulesInput�Data
Initial�MaintenanceConcept
Reliability�Data $
Asset�Model
EquipmentTree
SparesProvisioning
MaintenanceProcedures
MaintenanceSites
ResourcesAllocation
Field�Data�-SCADA,�CMS
apmOptimizer's�model�can�handle�large�and�complex�systems�with�ease,�taking�into�account�a�large�variety�of�environmental�attributes�consistently�and�efficiently.�
�
apmOptimizer�further�enhances�spare�optimization�results�by�integrating�the�optimal�repair�policy�using�LORA�(Level�Of�Repair-Discard�Analysis)�methodology.�
In�contrast�to�other�methods�that�use�trial-and-error�to�find�alternatives,�apmOptimizer�performs�analytical�calculations�using�exact�stochastic�definitions�of�random�events.�
™apmOptimizer ™apmOptimizer Solution�Modules
5�Mazal�Eliezer�St.�Rishon-lezion�75101,�Israel +972-3-962-5911��� [email protected]
apmOptimizer�optimizes�maintenance�strategy�and�drives�organizations� from� corrective�maintenance� to� predictive�maintenance.
apmOptimizer�provides�the�highest�savings�for�spare�parts�while� fulf i l l ing� asset� confidence� and� availabil ity�requirements.�
apmOptimizer� enables� the� scheduling� of� preventive� and� predictive�maintenance� actions� in� a� way� that� maximizes� asset� availability.�apmOptimizer�bundles�tasks�together�to�ensure�optimal�maintenance�resource� usage� and� minimal� shutdowns.� apmOptimizer� enables�optimal� use� of� plant� shutdowns� for� performing� maintenance� and�minimizes�unplanned�stoppages�due�to�failures.
apmOptimizerʼs� intelligent� proprietary� algorithms� make� it� the� best�strategic�decision-support�solution�in�the�market.�apmOptimizer�builds�a�comprehensive�asset�model�and�performs�an�initial�assessment�of�the�maintenance� concept.� This� model� is� based� on� information� from�maintenance� procedures,� historical� failure� data,� reliability� data,�logistical� infrastructure,� resource� allocation,� supply� chain� data,�operating� profiles,� costs� and� maintenance� timing.� The� optimization�process� then� provides� detailed� spare� quantity� recommendations� for�the�required�confidence�and/or�operational�availability.�
Spare�Parts�Confidence:apmOptimizer�provides�the�stock�quantities�to�fulfill�the�requested�confidence�level�for�having�a�spare�in�inventory.�This�module�takes�into�account�the�number�of�units�in�service,�failure�rates�and�Turn�Around�Time�(TAT).�
Spare�Parts�Operational�Availability:apmOptimizer�optimizes�spare�quantities�for�maximum�asset�operational�availability�at�minimum�cost.�This�module�works�on�the�assetʼs�availability�rather�than�stock�confidence.�
apmOptimizer� can� further� enhance� spare� optimization�by�optimizing�logistics� infrastructure� parameters� and� repair-discard� policies.� This�provides� a� variety� of� new� spare� recommendations� that� significantly�increase�availability�and�revenue.�apmOptimizer�eliminates�dead�stock,�defines� spare� partsʼ� locations,� defines� the� exact� quantity� to� hold� in�each� location�and�optimizes�spare�sharing�between�central,� local�and�forwarded�stocks.
apmOptimizer� also� provides� powerful� cost� analysis� information� for� a�variety�of�asset�management/acquisition�alternatives.�Multiple�sparing�alternatives�can�be�assessed�and�compared�in�terms�of�overall�cost�of�ownership� and� operational� performance� over� their� anticipated�lifespan.� The� most� suitable� solution� can� then� be� selected� for�implementation.�
The� Maintenance� Optimization� solution� can� work� integrally� with�unique�maintenance�documentation�systems�for�better�data�collection�and�for�easy�implementation�of�optimization�results.�This�data�provides�users� with� a� full� and� exact� modeling� of� the� system� and� the� best�optimization�results�suited�for�field�implementation.�
The Maintenance Optimization solution is built from the following modules: Preventive Maintenance Optimization (PMO), Periodical Inspection Optimization (PIO), RCM, FMECA, FTA, RBD and Field Data Analysis(FDA) ,Performance Analysis (PA) and Lifecycle Cost Analysis (LCC).
Significantly� reduces� expensive� and� disruptive�corrective�maintenance�
Finetunes� preventive� maintenance� according� to� an�organizationʼs�needs�
Enables�optimization�based�on�realtime�data�collected�from�a�wide�variety�of�sensor�types�
apmOptimizerʼs�solutions�can�be�used�together�or�separately�for� Predictive� Maintenance� and� Sparing,� as� needed.�
Maintenance�Optimization�Solution�� Sparing�Optimization�Solution��
Maintenance�Optimization�Solution�Benefits:�
The Sparing Optimization solution is built from the following modules: Sparing to Confidence (S2C), Sparing to Availability (S2A), Level Of Repair Optimization (LORO), and Lifecycle Cost Analysis (LCC)
Optimal�spare�quantities�for�required�confidence�levels�for�each�stock�site�
Best�operational�availability�for�a�specified�provisioning�budget
Lowest�provisioning�cost�for�a�specified�operational�availability�
Spare�mix�alternatives�for�meeting�requirements�at�minimal�cost�
Both�initial�and�replenishment�spare�quantities�
Spare�Optimization�Solution�Benefits: