1 / 12

Using Spreadsheets in Management Science Models

Using Spreadsheets in Management Science Models. Spreadsheets have become a powerful tool in management science modeling. Several reasons for the popularity of spreadsheets: Data are submitted to the modeler in spreadsheets

vaughan
Télécharger la présentation

Using Spreadsheets in Management Science Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Using Spreadsheets in Management Science Models • Spreadsheets have become a powerful tool in management science modeling. • Several reasons for the popularity of spreadsheets: • Data are submitted to the modeler in spreadsheets • Data can be analyzed easily using statistical and mathematical tools readily available in the spreadsheet. • Data and information can easily be displayed using graphical tools. 2-656-97 Méthodes d ’aide à la décision en RO

  2. Basic Excel functions and operators • Arithmetic Operations • Addition of cells A1and B1: • Subtracting cell B1 from A1: • Multiplication of cell A1 by B1: • Division of cell A1 by B1: • Cell A1 raised to the power in cell B1: = A1 + B1 = A1 - B1 = A1 * B1 = A1 / B1 = A1^ B1 2-656-97 Méthodes d ’aide à la décision en RO

  3. Basic Excel functions and operators • Relative and absolute addresses • All row and column references are considered relative unless preceded by a “$” sign • When copied, ‘relative addresses’ change relative to the original cell position.Example: Cell E5 =A1+B$3+$C4+$D$6 = C5+D$3+$C8+$D$6 Cell G9 2-656-97 Méthodes d ’aide à la décision en RO

  4. Basic Excel functions and operators • The F4 key • Pressing F4 will automatically put a $ sign in highlighted portions of formulas. • Press the F4 key once: The sign “$” appears in front of all rows and columns of the highlighted area of the formula. • Press the F4 key twice: The “$” sign appears in front of only the row references of the highlighted area of the formula. • Press the F4 key third time: The “$” sign appears in front of only the column references of the highlighted area of the formula. • Press the F4 key forth time: All the “$” signs are eliminated. 2-656-97 Méthodes d ’aide à la décision en RO

  5. Basic Excel functions and operators • Arithmetic functions • Sum =SUM(A1:A3) • Returns the sum A1+A2+A3 • Average =Average(A1:A3) • Returns the arithmetic average of cells A1, A2, A3 • SUMPRODUCT =SUMPRODUCT(A1:A3,B1:B3) • Returns the sum of products A1·B1+A2·B2+A3·B3 • ABS =ABS(A3) • Returns the absolute value of the entry in cell A3. 2-656-97 Méthodes d ’aide à la décision en RO

  6. Basic Excel functions and operators • Arithmetic functions – continued • SQRT =SQRT(A3) • Returns ÖA3 • MAX =MAX(A1:A9) • Returns the Maximum of the entries in cells A1 through A9. • MIN =MIN(A1:A9) • Returns the Minimum of the entries in cells A1 through A9. 2-656-97 Méthodes d ’aide à la décision en RO

  7. Basic Excel functions and operators • Statistical functions • RAND() =RAND() • Generate a random number between 0 and 1 from a uniform distribution. • Probabilities and variable values under the normal distribution • NORMDISTNORMINV=NORMDIST(25,20,3,TRUE)=NORMINV(.55,20,3)Returns P(X<25) when m = 20 Returns x0,, such that P(X<x0)=.55 and s = 3 when m = 20 and s = 3 • NORMSDISTNORMSMINV=NORMSDIST(1.78)=NORMSINV(.55)Returns P(Z<1.78) Returns z0, such that P(Z<z0)=.55 2-656-97 Méthodes d ’aide à la décision en RO

  8. Basic Excel functions and operators • Statistical functions • Probabilities and variable values under the t- distribution • TDISTTINV=TDIST(1.5,12,1)=TINV(.05,15)Returns P(t>1.5) Returns t0,, such that when n=12 P(t<-t0)=.025 and P(t>t0)=.025 when n=15.Note:=TDIST(1.5,12,2) returns P(t<-1.5) + P(t>1.5) when n=12. 2-656-97 Méthodes d ’aide à la décision en RO

  9. Basic Excel functions and operators • Statistical functions – Other probability distributions • Poisson =POISSON(7,5,TRUE) • Returns P(X<7) for Poisson with l = 5.Note: false returns the probability density P(X = 7) • EXPONDIST =EXPONDIST(40,1/20,TRUE) • Returns P(X<40) for the exponential distribution with 1/m=20Note: false returns the probability density f(40)=20exp(-20(40)) 2-656-97 Méthodes d ’aide à la décision en RO

  10. Basic Excel functions and operators • Conditional functions: • IF =IF(A4>4,B1+B2, B1 – B2) • Returns B1+B2 if A4>4, and B1 – B2 if A4£4. • SUMIF =SUMIF(F1:F12,“>60”,G1:G12) • Returns G1+G2+…+G12 only if F1+F2+…+F12>60 2-656-97 Méthodes d ’aide à la décision en RO

  11. Basic Excel functions and operators • VLOOKUP =VLOOKUP(6.6,A1:E6,4) • If the values in column A of a given table [A1:E6] are sorted (in an ascending order), VLOOKUP finds the largest value in column A that is less than or equal to 6.6, identifies the row it belongs to, and returns the value in the fourth column that correspond to this row.Note: If the values in column A are not sorted, =VLOOKUP(6.6,A1:E6,4,FALSE) finds the value 6.6 in column A, identifies the row it belongs to, and returns the value in the fourth column that corresponds to this row. 2-656-97 Méthodes d ’aide à la décision en RO

  12. Basic Excel functions and operators • Statistical/Optimization • Data Analysis [Selected from the Tools menu]. Useful entries: • Descriptive Statistics • Regression • Exponential Smoothing • Anova 2-656-97 Méthodes d ’aide à la décision en RO

More Related