Cronehoune) wey Demomd (» Yer, it is femible solution . The given set of Now veqotive allotments soci ses 3 RIM ace herce, the current Soliction Goi | >Hsfier Royo total Column -to be bone. eet, (E> Astat ® mek Ss Nom ~ degenerate « acti ellen ee “equol to mtn Eve c iow Saad. :squat ko Zero, (a FTE" Come the Cuore” solic Pray = Cy ~ Cu, +¥) Se ee ee as: 1 ae @ Ay should be colewecect for All the U. fe (otag We (Uraltotied celts’) feat Snes vain ever leflech er tet amd tromnpovtation scheclule» Butt ma) Ui oma Vi are ae ke ‘ascertained abe Occupy > twrteael oe edna os Alloticcd Cells. [kos time for oledoting 1 ae : Ww, Sone 3 : 19 5 to i. = wm, G Bee Po 25 i : (en Po a 2 Nj 2 Ey(ole) - v. + satist jc —> eOcoupicd Cells 4 Sead : eo Colm By, > itive get the positive value only Sqm stat ) entioned , vot dhe ‘value ar. \ Be ce chad youl ee Senet (oDP gesxitions clue! e! és partner will trade Off e es Consicenng pl iy 3, ‘ : sy Biiid) ther dinceton fr Chena ea 5 A phe derived Optimum solution. oi 2 considerotionn > nee ks SE the vos escalate (Imcremre) then possibilty |e suivity conalysis choomct exist hence Curren | r Solution Shall vemoin unchomge FF the wet tromportation cost clecveanes Bae existing evel thew there 1S a possibilty ef en amalysis ond the opm Soludion 15 be re-examined for ophimotity (Cprierslity ofpsfao2> Determination of Optimum Solubiow using MODI amahed after yevising the Cost im the cell By by a1.© (xe) + Ex) + x5) + Gs) +, = 2 230/- Shae cut, Wehelel! Lavping wt hed chistlllden q Soha} In =a Jn Alternate Optimacad Solution We! got aae- dlabuik $0. B95 TI ABO Mapeey fom 25 j j2023 Biron Tremsportation Problem : Core -9 oe a cr Pc Copoortty (Supply) | | | w |. ewe {3 16 i x 32 48 BS) Ye {le 32 y Requirement — 144 204 sa (Dunreved 0 4 Situation = ely 1 Gtuain 1 2 : to NDe the gwen Pramportation problem, if Tetal Suppl” TWh Demand ‘then Ywetrodkuced a dummy destinationo = spate be will actively porter ony chow footer, acs ee s gether oF dummy i) Although destinetion 5 they Siqmsficomce on the objective: KG Chlewlodtons utr “Yhoy cum Fae TTronopertation problems.en yt He 5! Tso svik 775 TE ~ ox ee) + 1x91) Mee) 4+ Gr X BY) + (HEI 91) Teepe epicd soon errernnt a ail 21 | 2 | 91 | o-est oe | | | —> | set-yor oy feat }x_ 2 )on-e er ele sm | c-s<3 y - | ie AML seq peg 3 Pen) 2a |e AG 3 smapod ~oypaymodeway prop” of promapeq Ma“a2 ‘lo © | ! Vaal WwW eae! i) Bere 22 ow | | goto: us 32 __ las lo | am A; Gndout iS ° ~16 - 48 gubtrac (a, 20) We The Net cost change iw all umoceupied cells ave etther positive or revo. Hence the Current solution is Ww) App Optimal « the in % Optimum Tomsportatio Schedule By hed W> Po 5 X 7 Pe X > Pw X> Pry wager Y> Par omd V-> Py rele % Minimum Tromnpoctation Cost: rom oO eG X42) +@axsa) +(oxd0)+ (lo x 144) + me _ Gaxic) 2 Geqc] — her ved) rae Ay So tow Optimala om x attached orth cost mectoix ‘ finding the vohether he giver x lem 1S batomed or Ul yo Step fee dei unbolomeect thew convert unbalanced pnaron0 dO Erp) rom portation Problem to balomeed TP by cpproprotely imbrodlucing, dummy's amd then proceed te cep oe > i) Determanation Minimizabion Conc] ere Foes Males Conversion of Matis 1 =gation core to _ “the entire matrix amd Pee rest port vole RGN the cclls ding “the highest profit ke BM eae. the Wqhert) profi vole. techniques +0 cetenning w iD) Apply omy one: OF the IRES 4he imitiol solution Y) Apply Mop! method to dlekensontiets ie prin solucti vi) After determanotrion Of Oph ‘romlesperh taal By, pescrlenisto, denver: rosaries d QHomtity ollobted im the optimnbow colubionw Bmax var is dered ose B \ta Grit in step 4 1s exther a Rerematy Pat Mtfe Cost Motaix given => Dere. Profit: Maton A fol! Fee Gon of Pa he 1 one Moximiratios of “Tromportation Cost a Core -6 goede SHB OTL ase 8 | eerie st Salen Ss Si Sa Copeet ty NSC eae ae ae elem meee ie vx se ee tents [20-15 -3 +s = [ass -4 ie-3-2 | es, | aes =6 yee | ie oe - | | [eorte-4 J2a-\c-6 [25-1674 |ie-16-5 || oe 20 9 =o 25 aS = oe : s he = mo-15 -3 |a2-15-4 |25-15-6 |IR-15-5 | ‘ 15 > es =O =A =a ier Requine- ~ments Sep 22 4 Checking rol L i \ 1A he “Shep! 1 moda ae The Aggreqote Supply 4 aggregate demomd one equal , Hence the current {ropertestion. prolslem said to be SE the Mate is ‘Untatonccd” con Calomce ds Tc alamied # Gud pital a i into a >) eee Motnx (Converting Moxinaration cose intoshowd be in positeracoselrap— wer! Peo oe a a= sen TOP = Pet Bette = ee BY oe | : | : 30| te | 220 | wa robo woypou ioeddiy spteg) - wens aster oma Tee 40 wyote Oe ce A Sy hn Ses Neos! oe Reo ae Sag) Cl ya F Moximum Profit Galewlaon ~ (tox +(6 x2) + (ax1 +@x oe (sxs) + (xe) +(13 x -2) = = 4 +la+a+o0 +40 + O ay eae ~ ~ a6. = 2 155]— + no of Allotments Cores OF Profit = Selling Pree - Production Cost pew umd & Raw Makenals cost Per wet ~ “Trew por tortion Cost- per unk - sTep-4 A Determination of Profit MarniDek eaeio~ off Expected Pes? core Ito enwirortion cone) “s Appro Riemat om Determination of IBFS (Noe!ww oF PMbT 260 sprouyao Pay ee a r wia bwhpoyes symouaayo anyweb von, = Big © 29q WqIAP 210g 1 HME FE HL . = t = Spemyonyo qenpey a - f= Spogony = ra “ res T-8 = a e T-'+S = = \ hs = oe Jee = sprouy anit to ON OH 2 Sb Sor aed : 3777 IVI7 2 = aby A er | oF) / eer a g ol A e € ore 4 ee) ise) 5 3 ; =| =. \ u | os a fey | al TI oul > fon |e eee ae ess | ts oo t e = a z S or G \ Bese“ ‘Zio) = 3 $A lxa | a | 0 | aa bes es a i a = Goren Mo yoni y oad x Vo sben) saan to “8 HpOwasagog] +: dota sh: Beer €,,S, ond Fe, Ss, we opportunty cost Hence Lets Soleo Ey > So Os eae cel is Negative, © for realistment of Quomtbities -welt ost Ste Net cock Chamge im oll the umomeplesl alla cell Be athe zero or positive « tence Umea rf ita is Optmol . oan F Optimum Tremsportation Schedule: Ay Me S, , Fy Sy : : . Bieri Prot = (io x 6) + Go x -2) +0 9 X2)+ (BOKE) +(oKS) +(40x0) 60+ € ig) + C240) + loo + 640 + 100" Bie é x- Jie de