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The calculations

orderdata reorderEnter row vector of states states Enter row vector A of actions (padded) AEnter row vector C of order costs (padded) C Enter row vector D of demand values DEnter row vector PD of demand probabilities PD Enter unit selling price SP SPEnter backorder penalty cost BP BP PA =1.0000 0 0 0 0 0.6000 0.2000 0.2000 0 00.2000 0.2000 0.2000 0.2000 0.2000 0.8000 0.2000 0 0 00.4000 0.2000 0.2000 0.2000 0 0.4000 0.2000 0.2000 0.2000 00.6000 0.2000 0.2000 0 0 0.2000 0.2000 0.2000 0.2000 0.20000.2000 0.2000 0.2000 0.2000 0.2000 0.4000 0.2000 0.2000 0.2000 00.4000 0.2000 0.2000 0.2000 0 0.4000 0.2000 0.2000 0.2000 00.2000 0.2000 0.2000 0.2000 0.2000 0.2000 0.2000 0.2000 0.2000 0.20000.2000 0.2000 0.2000 0.2000 0.2000 GA =0 -40 -80 -120 -160 -300 -100 100 60 20-480 -280 -80 120 320 0 200 160 120 80-300 -100 100 300 260 -300 -100 100 300 2600 200 400 360 320 -300 -100 100 300 500-300 -100 100 300 500 0 200 400 600 5600 200 400 600 560 0 200 400 600 5600 200 400 600 800 0 200 400 600 8000 200 400 600 800

Infinite-horizon strategy (no discounting)

polit Data needed:- - - - - - - - - - - - - - - Enter type number to show gain type typeEnter row vector of states states Enter row vector A of possible actions AEnter value of alpha (= 1 for no discounting) 1 Enter matrix PA of transition probabilities PAEnter matrix GA of gains GA Enter row vector PD of demand probabilities PDIndex Action Value 1 0 -802 2 -44 3 4 -804 0 1125 2 52 6 2 527 0 256 8 2 1009 2 100 10 0 35211 0 352 12 0 35213 0 400 14 0 40015 0 400 Initial policy: action numbers2 1 1 1 1 Policy: actions2 0 0 0 0 New policy: action numbers3 2 2 1 1 Policy: actions4 2 2 0 0 Long-run distribution0.2800 0.2000 0.2000 0.2000 0.1200 Test values for selecting new policyIndex Action Test Value 1.0000 0 -248.00002.0000 2.0000 -168.8000 3.0000 4.0000 -41.60004.0000 0 -48.8000 5.0000 2.0000 -5.60006.0000 2.0000 -5.6000 7.0000 0 131.20008.0000 2.0000 138.4000 9.0000 2.0000 138.400010.0000 0 294.4000 11.0000 0 294.400012.0000 0 294.4000 13.0000 0 438.400014.0000 0 438.4000 15.0000 0 438.4000Optimum policy State Action Value0 4.0000 -168.0000 1.0000 2.0000 -132.00002.0000 2.0000 12.0000 3.0000 0 168.00004.0000 0 312.0000 Long-run expected gain per period G126.4000

Infinite-horizon strategy (with discounting)

polit Data needed:- - - - - - - - - - - - - - - Enter case number to show gain type typeEnter row vector of states states Enter row vector A of possible actions AEnter value of alpha (= 1 for no discounting) 1/1.02 Enter matrix PA of transition probabilities PAEnter matrix GA of gains GA Enter row vector PD of demand probabilities PDIndex Action Value 1 0 -802 2 -44 3 4 -804 0 112 5 2 526 2 52 7 0 2568 2 100 9 2 10010 0 352 11 0 35212 0 352 13 0 40014 0 400 15 0 400Initial policy: action numbers 2 1 1 1 1Policy: actions 2 0 0 0 0New policy: action numbers 3 2 2 1 1Policy: actions 4 2 2 0 0Test values for selecting policy Index Action Test Value1.0e+03 * 0.0010 0 6.07460.0020 0.0020 6.1533 0.0030 0.0040 6.27760.0040 0 6.2740 0.0050 0.0020 6.31550.0060 0.0020 6.3155 0.0070 0 6.45330.0080 0.0020 6.4576 0.0090 0.0020 6.45760.0100 0 6.6155 0.0110 0 6.61550.0120 0 6.6155 0.0130 0 6.75760.0140 0 6.7576 0.0150 0 6.7576Optimum policy State Action Value1.0e+03 * 0 0.0040 6.27760.0010 0.0020 6.3155 0.0020 0.0020 6.45760.0030 0 6.6155 0.0040 0 6.7576

Finite-horizon calculations

dpinit Initialize for finite horizon calculationsMatrices A, PA, and GA, padded if necessary Enter type number to show gain type typeEnter vector of states states Enter row vector A of possible actions AEnter matrix PA of transition probabilities PA Enter matrix GA of gains GAEnter row vector PD of demand probabilities PD Call for dprogdprog States and expected total gains0 1 2 3 4 -44 112 256 352 400States Actions 0 21 0 2 03 0 4 0dprog States and expected total gains0 1.0000 2.0000 3.0000 4.0000 135.2000 178.4000 315.2000 478.4000 615.2000States Actions 0 41 2 2 23 0 4 0dprog States and expected total gains0 1.0000 2.0000 3.0000 4.0000 264.4800 300.4800 444.4800 600.4800 744.4800States Actions 0 41 2 2 23 0 4 0dprog States and expected total gains0 1.0000 2.0000 3.0000 4.0000 390.8800 426.8800 570.8800 726.8800 870.8800States Actions 0 41 2 2 23 0 4 0dprog States and expected total gains0 1.0000 2.0000 3.0000 4.0000 517.2800 553.2800 697.2800 853.2800 997.2800States Actions 0 41 2 2 23 0 4 0dprog States and expected total gains1.0e+03 * 0 0.0010 0.0020 0.0030 0.00400.6437 0.6797 0.8237 0.9797 1.1237 States Actions0 4 1 22 2 3 04 0

Questions & Answers

Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
Jyoti Reply
I only see partial conversation and what's the question here!
Crow Reply
what about nanotechnology for water purification
RAW Reply
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
Damian
yes that's correct
Professor
I think
Professor
what is the stm
Brian Reply
is there industrial application of fullrenes. What is the method to prepare fullrene on large scale.?
Rafiq
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
Damian
How we are making nano material?
LITNING Reply
what is a peer
LITNING Reply
What is meant by 'nano scale'?
LITNING Reply
What is STMs full form?
LITNING
scanning tunneling microscope
Sahil
how nano science is used for hydrophobicity
Santosh
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest. Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.? How this robot is carried to required site of body cell.? what will be the carrier material and how can be detected that correct delivery of drug is done Rafiq
Rafiq
if virus is killing to make ARTIFICIAL DNA OF GRAPHENE FOR KILLED THE VIRUS .THIS IS OUR ASSUMPTION
Anam
analytical skills graphene is prepared to kill any type viruses .
Anam
what is Nano technology ?
Bob Reply
write examples of Nano molecule?
Bob
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
Is there any normative that regulates the use of silver nanoparticles?
Damian Reply
what king of growth are you checking .?
Renato
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
Stoney Reply
why we need to study biomolecules, molecular biology in nanotechnology?
Adin Reply
?
Kyle
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
Adin
why?
Adin
what school?
Kyle
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
Damian Reply
research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
Praveena Reply
hi
Loga
what does nano mean?
Anassong Reply
nano basically means 10^(-9). nanometer is a unit to measure length.
Bharti
how did you get the value of 2000N.What calculations are needed to arrive at it
Smarajit Reply
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Source:  OpenStax, Topics in applied probability. OpenStax CNX. Sep 04, 2009 Download for free at http://cnx.org/content/col10964/1.2
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