1 / 5

What is sensitivity analysis? Why do we perform sensitivity analysis?

What is sensitivity analysis? Why do we perform sensitivity analysis? How far do we like to perform sensitivity analysis? In an LP sensitivity analysis, what type of conditions or information are considered? In an LP sensitivity analysis, what type of conclusions are considered?.

davidtinker
Download Presentation

What is sensitivity analysis? Why do we perform sensitivity analysis?

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. What is sensitivity analysis? Why do we perform sensitivity analysis? How far do we like to perform sensitivity analysis? In an LP sensitivity analysis, what type of conditions or information are considered? In an LP sensitivity analysis, what type of conclusions are considered? IE 416, Chap 5:1, July 98

  2. Shadow Price: SP page 230 Shadow price for the i th constraint of an LP is the amount by which the optimal z-value is improved if the rhs of the i th constraint is increased by 1. Reduced Cost: RC page 236 For any nonbasic variable Xk, the reduced cost is the amount by which the objective function coefficient of Xk must be improved before the LP will have an optimal solution in which Xk is a basic variable IE 416, Chap 4:3, July 98

  3. Terms Used in Different Books on Simplex method WinstonWinQSB System Binding Tight Non-binding Loose Slack Slack Excess Surplus Reduced cost Opportunity cost Shadow price Dual price IE 416, Chap 4:4, July 98

  4. Summary of LP Sensitivity Analysis, Notations O.F. Z=CBV*XBV + CNBV*XNBV S.T. ab1*X1 + ab2*X2 + … =< bb an1*X1 + an2*X2 + …. =<bn Where: CBV = coefficient of basic variable in Z CNBV = ….. nonbasic variable in Z XBV = basic variable in optimal solution XNBV = nonbasic variable in optimal solution bb = right hand side of binding constraint bn = right hand side of nonbinding constraint SPi = shadow price of constraint i RCi = reduced cost of XNBV C’BV = new CBV , C’NBV = new CNBV , b’b= new bb , b’n= new bn IE 416, Chap 5, Feb. 98

  5. Summary of LP Sensitivity Analysis Summary information from output of the Quant software: Coefficient of OF. RHS . Variable RC Min CurrentMaxConstraintsi/eiSPMinCurrentMax Summary sensitivity analysis: . IF .. THEN . Basis (var)bfs (value)Z (value) . min C’BV maxsame same Z+( CBV)XBV C’Bv out of rangechange change change min C’NBV maxsame same same C’NBv out of rangeXNBV ->X’BV change change min b’b maxsame change Z+SPb( bb) b’b out of rangechange change change min b’n maxsame same same b’n out of rangechange change change Note: y = y’ - y Note: If output of the Lindo is being used then Z SPb( bb); Use + if O.F. is max; Use - if O.F. is min IE 416, Chap 5, Dec. 98

More Related