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A list of electronic abbreviations and acronyms

Do not hesitate to send me proposals for missing entries!

AFP Atomic Force Probing
ASIC Application Specific Integrated Circuit
CAFM Conductive Atomic Force Microscopy
CMOS Complementary Metal Oxide Semiconductor
CTE Coefficient of Thermal Expansion
DIP Dual in-line plastic package
DUT Device Under Test
EBAC Electron Beam Absorbed Current
EBIC Electron Beam Induced Current
EBSC Electron Backscatter Diffraction
EFI Electrical Fault Isolation
EOS Electrical Overstress
ESD Electrostatic Discharge
FIB Focused Ion Beam
GB Grain Boundaries
IC Integrated Circuit
LSI Large Scale Integration
LVP Low Visibility Procedure
OBIRCH Optical Beam Induced Resistance Change
PCB Printed Circuit Board
PVC Passive Voltage Contrast
RCI Resistive Contrast Imaging
ROI Region of Interest
RST Remaining Siclicium Thickness
SEM Scanning Electron Microscopy
SIL Safety Integrity Level
SMU Source Measure Unit
SRAM Static Random Access Memory
TEM Transmission Electronic Microscopy
TMA Thermomechanical Analysis
VDD Voltage Drain Drain (positive)
VLSI Very Large Scale Integration
VSS Voltage Source Source (negative, ground)
XRM X-Ray Microscope

Interesting conferences

Qualita 2019 Montréal, Canada 2019, June 25 – June 28
IESM 2019 Shanghai, Canada 2019, September 25 – September 27

A list of industrial maintenance acronyms and abbreviations

Do not hesitate to send us proposals for missing entries!

A Availability
ABAO As bad as old
AGAN As good as new
AHP Analytical hierarchy process
AM Asset management
ANP Analytic network process
BN Bayesian network
BSC Balanced score card
CBM Condition based maintenance
CM Corrective maintenAs bad as old
CTQ Critical to quality characteristics
CMMS Computerized maintenance management system
CPM Critical path method
DMAIC Define, measure, analyse, improve, control
DOM Design-out maintenance
DPMO Defect per million opportunities
ERP Enterprse resource planning
ETA Event tree analysis
EUC Equipment under control
FBM Failure based maintenance
FMEA Failure mode and effect analysis
FTA Fault tree analysis
HAZAN Hazard and risk analysis
HAZOP Hazard and operational study
IoT Internet of things
KPI Key performance indicatoir
LCC Life cycle cost
LCP Life cycle profit
LMP Life management programme
LSS Lean Six Sigma
MCDM Multi criteria decision making
MDT Mean down time
MTBF Mean time between failures
MUT Mean up time
OEE Overall equipment effectiveness
OEM Original equipment manufacturer
OM Opportunistic maintenance
PDCA Plan, do, check, act
PDMP Piecewise determinsitic Markov process
PM Preventive maintenance
PSR Periodic safety review
RAMS Reliability, availability, maintainability, safety
RBIM Risk based inspection and maintenance
RBM Risk based maintenance
RCM Reliability centered maintenance
ROI Return on investment
RPN Risk priority number
SIL Safty integrity level
SIOPC Supplier input process output customer
SIS Safety instrumented system
SMED Single minute exchange of dies
SSC Structure, system and components
TBM Time based maintenance
TTF Time to failure
TPM Total productive maintenance
TPS Toyota Production System
TQM Total quality management
VOC Voice of customer

Best wishes for 2017!


Which relations between maintenance operations and risk management?

This is the question addressed by Mrs Soumia Hadni in her PhD thesis entitled “Maintenance Impact on Safety”. On the one hand, look maintenance reduces the probability of major risk hazard for the process. On the other hand, the inspection/repair/replacement activity induces a specific risk related to the maintenance action . We believe it is worth to estimate both, at least in a rough model.

Her public defence will be held in French this Tiesday 24 November at 9:30 AM, Auditorium 5, Faculty of Engineering, University of Mons, Rue de Houdain 9, Mons and will be  open for a wide audience. Everybody is welcome.

summary is available here.

Agoria – No Future without Technology

The General Assembly of the Contracting Group at Agoria was te opportunity to give a speech about Intelligent Maintenance. The discussion that followed led to the conclusion that technology needs favorable economic conditions and more support for STEM (Science Technology Engineering and Mathematics) jobs and training. Here is the Presentation