Afkortingen SCM
HOOFDSTUK 1
KPI Key Performance Indicator
OM Operations Management
R&D Research & Development
SWOT Strengths, Weaknesses, Opportunities, Threats
SCOR Supply Chain Operations Reference
SCC Supply Chain Counsel
HOOFDSTUK 2
A Actual value
b slope of the line
ct seasonal relatives
ES Exponential Smoothing
F Forecast value
LCL Lower Control Limit
MA Moving Average
MAD Mean Absolute Deviation
MAPE Mean Absolute Percentage Error
MSE Mean Squared Error
S previous forecast plus smoothed error
SA Simple Average
TAF Trend-Adjusted exponential smoothing
UCL Upper Control Limit
w Weight
WMA Weighted Moving Average
x predictor (independent) variable
y value of the time series
smoothing constant
1
, HOOFDSTUK 3
BEP Break-Even Point
d total demand per day
Di demand for I
FC Fixed Costs
NR number of required machines (processing requirements)
P Profit
pi standard processing time for i
Q Quantity
R Revenue per unit
T processing time available
t task time
TC Total Costs
TR Total Revenue
v Variable cost per unit
VC Variable Costs
HOOFDSTUK 4
ALB Assembly Line Balancing
c Cycle time
CAM Computer-Aided Manufacturing
CIM Computer-Integrated Manufacturing
FMS Flexible Manufacturing System
GALB General Assembly Line Balancing
Nactual Actual Numbers of stations
NIC Numeric Controlled Machines
Nmin theoretical Minimum Numbers of stations
PW Positional Weight
SALBP Single Assembly Line Balancing Problem
tk Task time
HOOFDSTUK 5
D Demand
GATT General Agreement on Tariffs & Trade
LP Linear Programming
NAFTA North American Free Trade Agreement
S Supply
WTO World Trade Organization
2
HOOFDSTUK 1
KPI Key Performance Indicator
OM Operations Management
R&D Research & Development
SWOT Strengths, Weaknesses, Opportunities, Threats
SCOR Supply Chain Operations Reference
SCC Supply Chain Counsel
HOOFDSTUK 2
A Actual value
b slope of the line
ct seasonal relatives
ES Exponential Smoothing
F Forecast value
LCL Lower Control Limit
MA Moving Average
MAD Mean Absolute Deviation
MAPE Mean Absolute Percentage Error
MSE Mean Squared Error
S previous forecast plus smoothed error
SA Simple Average
TAF Trend-Adjusted exponential smoothing
UCL Upper Control Limit
w Weight
WMA Weighted Moving Average
x predictor (independent) variable
y value of the time series
smoothing constant
1
, HOOFDSTUK 3
BEP Break-Even Point
d total demand per day
Di demand for I
FC Fixed Costs
NR number of required machines (processing requirements)
P Profit
pi standard processing time for i
Q Quantity
R Revenue per unit
T processing time available
t task time
TC Total Costs
TR Total Revenue
v Variable cost per unit
VC Variable Costs
HOOFDSTUK 4
ALB Assembly Line Balancing
c Cycle time
CAM Computer-Aided Manufacturing
CIM Computer-Integrated Manufacturing
FMS Flexible Manufacturing System
GALB General Assembly Line Balancing
Nactual Actual Numbers of stations
NIC Numeric Controlled Machines
Nmin theoretical Minimum Numbers of stations
PW Positional Weight
SALBP Single Assembly Line Balancing Problem
tk Task time
HOOFDSTUK 5
D Demand
GATT General Agreement on Tariffs & Trade
LP Linear Programming
NAFTA North American Free Trade Agreement
S Supply
WTO World Trade Organization
2
