SlideShare a Scribd company logo
MOS 3330: Operations Management Formula Sheet
                                                                         Inventory Management
                                                          ½
EOQ                                  Q* = (2DCO/CH)               TC = CO(D/Q) + CH(Q/2)                       R=dL           Order cycle time = (#days/yr)/(#orders)
EOQ quantity discount                TC = CO(D/Q) + CH(Q/2) + P·D
                                                                     ½
EPQ                                  Q* = [2DCO/CH(1 – d/p)]                                              Length of production run = Q/p
                                     TC = CO(D/Q) + CH(Q/2)(1 – d/p)                                      Max. inventory level = Q(1 – d/p)
Safety stock                         Q system: R =       d L + zσd(L½)                                    P system: Q =        d (P + L) + zσd(P + L)½ – I
                                                                                 Forecasting
Naïve                                Ft+1 = Dt                                                            Simple MA                    Ft+1 = (Dt + Dt–1 + L + Dt–(N–1)) / N
Weighted MA                          Ft+1 = WtDt + Wt–1Dt–1 + L + Wt–(N–1)Dt–(N–1)                        Exp. smoothing               Ft+1 = αDt + (1 – α)Ft
Adj. exp. smooth.                    AFt+1 = Ft+1 + Tt+1 = [αDt + (1 – α)Ft] + [β(Ft+1 – Ft) + (1 – β)Tt]
Seasonality                          Ft+1,i = forecast for season i in t+1 = SiFt+1                       Si = seasonal factor for season i = Di/ΣDi
                                     Ft+1 = forecast for total demand in t+1                              Di = actual total past demand for season i
Mean Absolute Deviation = Σ⏐Dt – Ft⏐/ N                                                                   Mean Squared Error = Σ (Dt – Ft)2 / N
Mean Absolute Percentage Deviation = Σ⏐Dt – Ft⏐/ ΣDt                                                      Cumulative Error = Σ(Dt – Ft)
                                                                 Aggregate Production Planning
Inventoryt = Inventoryt–1 + Productiont – Demandt                                       Avg. demand = (total demand – open. Inv) / (# of periods)
Cumulative avg. demand = (total cumulative demand – open. Inv) / (# of cumulative periods)
                                                                                    MRP
Netting                 (Net requirements) = (Gross reqts) – (On-hand inventory) – (Quantity on order)
                                                                                 Scheduling
Job flow time           = (waiting time) + (processing time)                            Makespan                       = finish time for the last job
Job lateness            = Σall jobs (finish time − due time)                            Job tardiness                  = Σonly late jobs (finish time − due time)
Avg. # of jobs in the system = (Σall jobs job flow time)/(makespan)
                                                                          Quality Management
Yield                   = (# of units to be produced)×(%good units) + (# of units to be produced)×(1 − %good units)×(%reworked)
Labour index            = (quality cost) / (direct labour hours)                        Production index                           = (quality cost) / (product yield)
Sales index             = (quality cost) / (sales)                                      Quality-productivity index                 = (product yield) / (production cost)
Cost index              = (quality cost) / (production cost)
                                                                     Statistical Process Control
p-chart
                        UCL =    p    +z[   p (1 – p )/n]1/2                            LCL =      p    –z[    p (1 – p )/n]1/2
c-chart                                          1/2                                                             1/2
                        UCL =    c    + z (c)                                           LCL =      c   – z (c)
R-chart
                        UCL = D4 R                                                      LCL = D3 R
x-bar-chart
                        UCL =    x    + A2 R                                            LCL =      x    – A2 R
Pattern test conditions:                                                                •     14 points alternating up or down
•   8 consecutive points on one side of the center line                                 •     2 out of 3 consecutive points in zone A
•   8 consecutive points up (or down)                                                   •     4 out of 5 consecutive points in zone A or B

   Service level         90%             95%              96%             97%               98%               99%
         z               1.28            1.65             1.75            1.88              2.05              2.33

  n        2      3        4      5          6          7      8          9       10         11         12      13      14       15       16      17     18      19     20
  A2      1.88   1.02     0.73   0.58       0.48       0.42   0.37       0.34    0.31       0.29       0.27    0.25    0.24     0.22     0.21    0.20   0.19    0.19   0.18
  D3       0      0        0      0          0         0.08   0.14       0.18    0.22       0.26       0.28    0.31    0.33     0.35     0.36    0.38   0.39    0.40   0.41
  D4      3.27   2.57     2.28   2.11       2.00       1.92   1.86       1.82    1.78       1.74       1.72    1.69    1.67     1.65     1.64    1.62   1.61    1.60   1.59

More Related Content

Viewers also liked

Cost-benefit analysis of RetBus (Goni Ross)
Cost-benefit analysis of RetBus (Goni Ross)Cost-benefit analysis of RetBus (Goni Ross)
Cost-benefit analysis of RetBus (Goni Ross)
flmkessels
 
Standard & labour costing
Standard & labour costingStandard & labour costing
Standard & labour costing
amitrawool32
 
How to use vlookup & simple formula's for inventory
How to use vlookup & simple  formula's for inventoryHow to use vlookup & simple  formula's for inventory
How to use vlookup & simple formula's for inventory
howto-excel
 
Model eoq
Model eoqModel eoq
Model eoq
Rutuja Chudnaik
 
Standard Costing
Standard CostingStandard Costing
Standard Costing
Tanmay C. Sant
 
3...economic order quantity
3...economic order quantity3...economic order quantity
3...economic order quantity
DEVIKA ANTHARJANAM
 
Inventory Control & Management
Inventory Control & ManagementInventory Control & Management
Standard costing presentation
Standard costing presentationStandard costing presentation
Standard costing presentation
Jay Singh
 
Ca chap 13 standard costing&variance analysis(2)
Ca chap 13 standard costing&variance analysis(2)Ca chap 13 standard costing&variance analysis(2)
Ca chap 13 standard costing&variance analysis(2)
DSDEVDA
 
Economic Order Quantity Models
Economic Order Quantity ModelsEconomic Order Quantity Models
Economic Order Quantity Models
Shashank Shekhar
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
Dr. Nirav Vyas
 
Material management & Inventory control
Material management & Inventory controlMaterial management & Inventory control
Material management & Inventory control
Dushyant Kalchuri
 
Material Management & Inventory Management
Material Management & Inventory ManagementMaterial Management & Inventory Management
Material Management & Inventory Management
HR at VASHI ELECTRICALS PVT. LTD.
 
Economic Order Quality Eoq
Economic Order Quality  EoqEconomic Order Quality  Eoq
Economic Order Quality Eoq
sikander kushwaha
 
Inventory Control
Inventory ControlInventory Control
Inventory Control
Shalini Khutliwala
 
Expressions & Formulas (Algebra 2)
Expressions & Formulas (Algebra 2)Expressions & Formulas (Algebra 2)
Expressions & Formulas (Algebra 2)
rfant
 
Cost of quality
Cost of qualityCost of quality
Cost of quality
Hassan Asif
 

Viewers also liked (17)

Cost-benefit analysis of RetBus (Goni Ross)
Cost-benefit analysis of RetBus (Goni Ross)Cost-benefit analysis of RetBus (Goni Ross)
Cost-benefit analysis of RetBus (Goni Ross)
 
Standard & labour costing
Standard & labour costingStandard & labour costing
Standard & labour costing
 
How to use vlookup & simple formula's for inventory
How to use vlookup & simple  formula's for inventoryHow to use vlookup & simple  formula's for inventory
How to use vlookup & simple formula's for inventory
 
Model eoq
Model eoqModel eoq
Model eoq
 
Standard Costing
Standard CostingStandard Costing
Standard Costing
 
3...economic order quantity
3...economic order quantity3...economic order quantity
3...economic order quantity
 
Inventory Control & Management
Inventory Control & ManagementInventory Control & Management
Inventory Control & Management
 
Standard costing presentation
Standard costing presentationStandard costing presentation
Standard costing presentation
 
Ca chap 13 standard costing&variance analysis(2)
Ca chap 13 standard costing&variance analysis(2)Ca chap 13 standard costing&variance analysis(2)
Ca chap 13 standard costing&variance analysis(2)
 
Economic Order Quantity Models
Economic Order Quantity ModelsEconomic Order Quantity Models
Economic Order Quantity Models
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
 
Material management & Inventory control
Material management & Inventory controlMaterial management & Inventory control
Material management & Inventory control
 
Material Management & Inventory Management
Material Management & Inventory ManagementMaterial Management & Inventory Management
Material Management & Inventory Management
 
Economic Order Quality Eoq
Economic Order Quality  EoqEconomic Order Quality  Eoq
Economic Order Quality Eoq
 
Inventory Control
Inventory ControlInventory Control
Inventory Control
 
Expressions & Formulas (Algebra 2)
Expressions & Formulas (Algebra 2)Expressions & Formulas (Algebra 2)
Expressions & Formulas (Algebra 2)
 
Cost of quality
Cost of qualityCost of quality
Cost of quality
 

Similar to Formula

Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
Ravikishore Reddy
 
Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
Ravikishore Reddy
 
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATIONcontrollers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
rahulkatre9
 
Application of Non-linear Electronics in Digital Communication
Application of Non-linear Electronics in Digital CommunicationApplication of Non-linear Electronics in Digital Communication
Application of Non-linear Electronics in Digital Communication
Mohammad reza Zahabi
 
Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
Ravikishore Reddy
 
ScilabTEC 2015 - J. Richalet
ScilabTEC 2015 - J. RichaletScilabTEC 2015 - J. Richalet
ScilabTEC 2015 - J. Richalet
Scilab
 
Chemical kinetics
Chemical kineticsChemical kinetics
Chemical kinetics
Chaudhry Hassan Ali
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
AyushMahapatra5
 
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdfreservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
RTEFGDFGJU
 
Algorithms - Rocksolid Tour 2013
Algorithms  - Rocksolid Tour 2013Algorithms  - Rocksolid Tour 2013
Algorithms - Rocksolid Tour 2013
Gary Short
 
Recurrence relation solutions
Recurrence relation solutionsRecurrence relation solutions
Recurrence relation solutions
subhashchandra197
 
CS330-Lectures Statistics And Probability
CS330-Lectures Statistics And ProbabilityCS330-Lectures Statistics And Probability
CS330-Lectures Statistics And Probability
bryan111472
 
AsymptoticAnalysis.ppt
AsymptoticAnalysis.pptAsymptoticAnalysis.ppt
AsymptoticAnalysis.ppt
SiddheshUpadhyay3
 
Engine Cycles Analysis
Engine Cycles AnalysisEngine Cycles Analysis
Ct signal operations
Ct signal operationsCt signal operations
Ct signal operations
mihir jain
 
SIGNAL OPERATIONS
SIGNAL OPERATIONSSIGNAL OPERATIONS
SIGNAL OPERATIONS
mihir jain
 
VHDL and Cordic Algorithim
VHDL and Cordic AlgorithimVHDL and Cordic Algorithim
VHDL and Cordic Algorithim
Subeer Rangra
 
bode_plot By DEV
 bode_plot By DEV bode_plot By DEV
bode_plot By DEV
Devchandra Thakur
 
Algorithm Design and Analysis
Algorithm Design and AnalysisAlgorithm Design and Analysis
Algorithm Design and Analysis
Reetesh Gupta
 
Ch07s
Ch07sCh07s

Similar to Formula (20)

Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
 
Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
 
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATIONcontrollers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
controllers ITS TYPES AND CLASSIFICATION BASED ON APPLICATION
 
Application of Non-linear Electronics in Digital Communication
Application of Non-linear Electronics in Digital CommunicationApplication of Non-linear Electronics in Digital Communication
Application of Non-linear Electronics in Digital Communication
 
Bull whip effect
Bull whip effectBull whip effect
Bull whip effect
 
ScilabTEC 2015 - J. Richalet
ScilabTEC 2015 - J. RichaletScilabTEC 2015 - J. Richalet
ScilabTEC 2015 - J. Richalet
 
Chemical kinetics
Chemical kineticsChemical kinetics
Chemical kinetics
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdfreservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
 
Algorithms - Rocksolid Tour 2013
Algorithms  - Rocksolid Tour 2013Algorithms  - Rocksolid Tour 2013
Algorithms - Rocksolid Tour 2013
 
Recurrence relation solutions
Recurrence relation solutionsRecurrence relation solutions
Recurrence relation solutions
 
CS330-Lectures Statistics And Probability
CS330-Lectures Statistics And ProbabilityCS330-Lectures Statistics And Probability
CS330-Lectures Statistics And Probability
 
AsymptoticAnalysis.ppt
AsymptoticAnalysis.pptAsymptoticAnalysis.ppt
AsymptoticAnalysis.ppt
 
Engine Cycles Analysis
Engine Cycles AnalysisEngine Cycles Analysis
Engine Cycles Analysis
 
Ct signal operations
Ct signal operationsCt signal operations
Ct signal operations
 
SIGNAL OPERATIONS
SIGNAL OPERATIONSSIGNAL OPERATIONS
SIGNAL OPERATIONS
 
VHDL and Cordic Algorithim
VHDL and Cordic AlgorithimVHDL and Cordic Algorithim
VHDL and Cordic Algorithim
 
bode_plot By DEV
 bode_plot By DEV bode_plot By DEV
bode_plot By DEV
 
Algorithm Design and Analysis
Algorithm Design and AnalysisAlgorithm Design and Analysis
Algorithm Design and Analysis
 
Ch07s
Ch07sCh07s
Ch07s
 

Formula

  • 1. MOS 3330: Operations Management Formula Sheet Inventory Management ½ EOQ Q* = (2DCO/CH) TC = CO(D/Q) + CH(Q/2) R=dL Order cycle time = (#days/yr)/(#orders) EOQ quantity discount TC = CO(D/Q) + CH(Q/2) + P·D ½ EPQ Q* = [2DCO/CH(1 – d/p)] Length of production run = Q/p TC = CO(D/Q) + CH(Q/2)(1 – d/p) Max. inventory level = Q(1 – d/p) Safety stock Q system: R = d L + zσd(L½) P system: Q = d (P + L) + zσd(P + L)½ – I Forecasting Naïve Ft+1 = Dt Simple MA Ft+1 = (Dt + Dt–1 + L + Dt–(N–1)) / N Weighted MA Ft+1 = WtDt + Wt–1Dt–1 + L + Wt–(N–1)Dt–(N–1) Exp. smoothing Ft+1 = αDt + (1 – α)Ft Adj. exp. smooth. AFt+1 = Ft+1 + Tt+1 = [αDt + (1 – α)Ft] + [β(Ft+1 – Ft) + (1 – β)Tt] Seasonality Ft+1,i = forecast for season i in t+1 = SiFt+1 Si = seasonal factor for season i = Di/ΣDi Ft+1 = forecast for total demand in t+1 Di = actual total past demand for season i Mean Absolute Deviation = Σ⏐Dt – Ft⏐/ N Mean Squared Error = Σ (Dt – Ft)2 / N Mean Absolute Percentage Deviation = Σ⏐Dt – Ft⏐/ ΣDt Cumulative Error = Σ(Dt – Ft) Aggregate Production Planning Inventoryt = Inventoryt–1 + Productiont – Demandt Avg. demand = (total demand – open. Inv) / (# of periods) Cumulative avg. demand = (total cumulative demand – open. Inv) / (# of cumulative periods) MRP Netting (Net requirements) = (Gross reqts) – (On-hand inventory) – (Quantity on order) Scheduling Job flow time = (waiting time) + (processing time) Makespan = finish time for the last job Job lateness = Σall jobs (finish time − due time) Job tardiness = Σonly late jobs (finish time − due time) Avg. # of jobs in the system = (Σall jobs job flow time)/(makespan) Quality Management Yield = (# of units to be produced)×(%good units) + (# of units to be produced)×(1 − %good units)×(%reworked) Labour index = (quality cost) / (direct labour hours) Production index = (quality cost) / (product yield) Sales index = (quality cost) / (sales) Quality-productivity index = (product yield) / (production cost) Cost index = (quality cost) / (production cost) Statistical Process Control p-chart UCL = p +z[ p (1 – p )/n]1/2 LCL = p –z[ p (1 – p )/n]1/2 c-chart 1/2 1/2 UCL = c + z (c) LCL = c – z (c) R-chart UCL = D4 R LCL = D3 R x-bar-chart UCL = x + A2 R LCL = x – A2 R Pattern test conditions: • 14 points alternating up or down • 8 consecutive points on one side of the center line • 2 out of 3 consecutive points in zone A • 8 consecutive points up (or down) • 4 out of 5 consecutive points in zone A or B Service level 90% 95% 96% 97% 98% 99% z 1.28 1.65 1.75 1.88 2.05 2.33 n 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 A2 1.88 1.02 0.73 0.58 0.48 0.42 0.37 0.34 0.31 0.29 0.27 0.25 0.24 0.22 0.21 0.20 0.19 0.19 0.18 D3 0 0 0 0 0 0.08 0.14 0.18 0.22 0.26 0.28 0.31 0.33 0.35 0.36 0.38 0.39 0.40 0.41 D4 3.27 2.57 2.28 2.11 2.00 1.92 1.86 1.82 1.78 1.74 1.72 1.69 1.67 1.65 1.64 1.62 1.61 1.60 1.59