SlideShare a Scribd company logo
www.sanjivanimba.org.in
Unit No.2.
DECISION SCIENCE
Presented By:
Dr. V. M. Tidake
Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem)
Professor & Head Dept. of MBA
1
Sanjivani College of Engineering, Kopargaon
Department of MBA
www.sanjivanimba.org.in
www.sanjivanimba.org.in
302-DECISION SCIENCE
Unit No.2. Transportation &
Assignment
2.2 Terminology in
Transportation Problem
Presented By:
Dr. V. M. Tidake
Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem)
Professor & Head Dept. of MBA
2
Sanjivani College of Engineering, Kopargaon
Department of MBA
www.sanjivanimba.org.in
www.sanjivanimba.org.in
TRANSPORTATION & ASSIGNMENT
 At the End of the Session Student will be able to
understand-
A. Terminology in Transportation Problem
www.sanjivanimba.org.in
Terminology of Transportation model
Balanced
Transportation
Problem: If Total
Supply equals Total
Demand.
Unbalanced
Transportation
Problem: If Total
Supply does not
equals Total Demand.
Transportation Table:
PLANT
WAREHOUSE
SUPPLYMumbai Pune Ahmedab
ad
Bangalore
10 10 10
--- 130
Hyderaba
d
10 10
---
10
120
Kolkata
10 10
---
10
130
DEMAND 210 60 110 380
70 60
60
80 50
60
www.sanjivanimba.org.in
Terminology of Transportation model
Dummy Source or Destination: It is a dummy row or column (having
0 transportation cost per cell) to be added in order to balance the
Transportation Problem.
Initial Feasible Solution: It is a solution that satisfies the demand and
supply conditions and yet it may or may not be the optimum one.
There are 03 methods to obtain the same-
a) North West Corner Method (NWCM)
b) Matrix Minima or Least Cost Method (LCM)
c) Vogel’s Approximation Method (VAM)
Optimum Solution: It is a feasible solution which also gives a
minimum cost transportation plan.
There are 02 methods to obtain the same-
a) Stepping Stone Method or
b) Modified Distribution Method (MODI)
www.sanjivanimba.org.in
EXERCISE
 List down and Explain the various terminologies used
in Transportation Problem.
www.sanjivanimba.org.in
For More Details Contact
Dr. V M Tidake
tidkevishal@gmail.com
tidkevishalmba@sanjivani.org.in
www.sanjivanimba.org.in
Thank You

More Related Content

What's hot

Transportation model
Transportation modelTransportation model
Transportation model
Lokesh Payasi
 
LEAST COST METHOD
LEAST COST METHOD LEAST COST METHOD
LEAST COST METHOD
VishalHotchandani2
 
Formulation Lpp
Formulation  LppFormulation  Lpp
Formulation Lpp
Sachin MK
 
Transportation problem
Transportation problemTransportation problem
Transportation problem
Shubhagata Roy
 
5. transportation problems
5. transportation problems5. transportation problems
5. transportation problems
Hakeem-Ur- Rehman
 
Least Cost Method - operation research
Least Cost Method - operation researchLeast Cost Method - operation research
Least Cost Method - operation research
sajan gohel
 
Simplex Method
Simplex MethodSimplex Method
Simplex Method
Sachin MK
 
Transportation problem
Transportation problemTransportation problem
Transportation problem
Kamel Attar
 
Transportation problem ppt
Transportation problem pptTransportation problem ppt
Transportation problem ppt
Dr T.Sivakami
 
The Big M Method - Operation Research
The Big M Method - Operation ResearchThe Big M Method - Operation Research
The Big M Method - Operation Research
2013901097
 
How to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - IntroductionHow to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - Introduction
Ed Dansereau
 
Linear programming - Model formulation, Graphical Method
Linear programming  - Model formulation, Graphical MethodLinear programming  - Model formulation, Graphical Method
Linear programming - Model formulation, Graphical Method
Joseph Konnully
 
9. transportation model
9. transportation model9. transportation model
9. transportation model
Sudipta Saha
 
primal and dual problem
primal and dual problemprimal and dual problem
primal and dual problem
Yash Lad
 
Canonical form and Standard form of LPP
Canonical form and Standard form of LPPCanonical form and Standard form of LPP
Canonical form and Standard form of LPP
Sundar B N
 
transportation-model.ppt
transportation-model.ppttransportation-model.ppt
transportation-model.ppt
anubhuti18
 
Transportation problems
Transportation problemsTransportation problems
Transportation problems
VishalHotchandani2
 
Transportation Modelling - Quantitative Analysis and Discrete Maths
Transportation Modelling - Quantitative Analysis and Discrete MathsTransportation Modelling - Quantitative Analysis and Discrete Maths
Transportation Modelling - Quantitative Analysis and Discrete Maths
Krupesh Shah
 
Mb 106 quantitative techniques 13
Mb 106 quantitative techniques 13Mb 106 quantitative techniques 13
Mb 106 quantitative techniques 13
KrishnaRoy45
 
Simplex method concept,
Simplex method concept,Simplex method concept,
Simplex method concept,
Dronak Sahu
 

What's hot (20)

Transportation model
Transportation modelTransportation model
Transportation model
 
LEAST COST METHOD
LEAST COST METHOD LEAST COST METHOD
LEAST COST METHOD
 
Formulation Lpp
Formulation  LppFormulation  Lpp
Formulation Lpp
 
Transportation problem
Transportation problemTransportation problem
Transportation problem
 
5. transportation problems
5. transportation problems5. transportation problems
5. transportation problems
 
Least Cost Method - operation research
Least Cost Method - operation researchLeast Cost Method - operation research
Least Cost Method - operation research
 
Simplex Method
Simplex MethodSimplex Method
Simplex Method
 
Transportation problem
Transportation problemTransportation problem
Transportation problem
 
Transportation problem ppt
Transportation problem pptTransportation problem ppt
Transportation problem ppt
 
The Big M Method - Operation Research
The Big M Method - Operation ResearchThe Big M Method - Operation Research
The Big M Method - Operation Research
 
How to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - IntroductionHow to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - Introduction
 
Linear programming - Model formulation, Graphical Method
Linear programming  - Model formulation, Graphical MethodLinear programming  - Model formulation, Graphical Method
Linear programming - Model formulation, Graphical Method
 
9. transportation model
9. transportation model9. transportation model
9. transportation model
 
primal and dual problem
primal and dual problemprimal and dual problem
primal and dual problem
 
Canonical form and Standard form of LPP
Canonical form and Standard form of LPPCanonical form and Standard form of LPP
Canonical form and Standard form of LPP
 
transportation-model.ppt
transportation-model.ppttransportation-model.ppt
transportation-model.ppt
 
Transportation problems
Transportation problemsTransportation problems
Transportation problems
 
Transportation Modelling - Quantitative Analysis and Discrete Maths
Transportation Modelling - Quantitative Analysis and Discrete MathsTransportation Modelling - Quantitative Analysis and Discrete Maths
Transportation Modelling - Quantitative Analysis and Discrete Maths
 
Mb 106 quantitative techniques 13
Mb 106 quantitative techniques 13Mb 106 quantitative techniques 13
Mb 106 quantitative techniques 13
 
Simplex method concept,
Simplex method concept,Simplex method concept,
Simplex method concept,
 

Similar to 2.2 terminology of transportation problem

2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method
Vishal Tidake
 
2.1 introduction to transportation
2.1 introduction to transportation2.1 introduction to transportation
2.1 introduction to transportation
Vishal Tidake
 
2.6 initial feasible solution by vam
2.6 initial feasible solution by vam2.6 initial feasible solution by vam
2.6 initial feasible solution by vam
Vishal Tidake
 
2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy
Vishal Tidake
 
2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method
Vishal Tidake
 
2.9 optimal solution by modi method
2.9 optimal solution by modi method2.9 optimal solution by modi method
2.9 optimal solution by modi method
Vishal Tidake
 
2.3 procedure to solve transportation problem
2.3 procedure to solve transportation problem2.3 procedure to solve transportation problem
2.3 procedure to solve transportation problem
Vishal Tidake
 
2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm
Vishal Tidake
 
2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam
Vishal Tidake
 
2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method
Vishal Tidake
 
2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm
Vishal Tidake
 
2.14 case 4 case of maximization
2.14 case 4 case of maximization2.14 case 4 case of maximization
2.14 case 4 case of maximization
Vishal Tidake
 
2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment
Vishal Tidake
 
2.15 introduction to assignment
2.15 introduction to assignment2.15 introduction to assignment
2.15 introduction to assignment
Vishal Tidake
 
3.1.8 comenting markov chain
3.1.8 comenting markov chain3.1.8 comenting markov chain
3.1.8 comenting markov chain
Vishal Tidake
 
3.4 decision making under risk
3.4 decision making under risk3.4 decision making under risk
3.4 decision making under risk
Vishal Tidake
 
3.1.7 case 2 markov chain
3.1.7 case 2 markov chain3.1.7 case 2 markov chain
3.1.7 case 2 markov chain
Vishal Tidake
 
3.1.4 Steady State Probability
3.1.4 Steady State Probability3.1.4 Steady State Probability
3.1.4 Steady State Probability
Vishal Tidake
 
3.1 introduction decision theory
3.1 introduction decision theory3.1 introduction decision theory
3.1 introduction decision theory
Vishal Tidake
 
3.7 case 2 decision theory
3.7 case 2 decision theory3.7 case 2 decision theory
3.7 case 2 decision theory
Vishal Tidake
 

Similar to 2.2 terminology of transportation problem (20)

2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method
 
2.1 introduction to transportation
2.1 introduction to transportation2.1 introduction to transportation
2.1 introduction to transportation
 
2.6 initial feasible solution by vam
2.6 initial feasible solution by vam2.6 initial feasible solution by vam
2.6 initial feasible solution by vam
 
2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy
 
2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method
 
2.9 optimal solution by modi method
2.9 optimal solution by modi method2.9 optimal solution by modi method
2.9 optimal solution by modi method
 
2.3 procedure to solve transportation problem
2.3 procedure to solve transportation problem2.3 procedure to solve transportation problem
2.3 procedure to solve transportation problem
 
2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm
 
2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam
 
2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method
 
2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm
 
2.14 case 4 case of maximization
2.14 case 4 case of maximization2.14 case 4 case of maximization
2.14 case 4 case of maximization
 
2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment
 
2.15 introduction to assignment
2.15 introduction to assignment2.15 introduction to assignment
2.15 introduction to assignment
 
3.1.8 comenting markov chain
3.1.8 comenting markov chain3.1.8 comenting markov chain
3.1.8 comenting markov chain
 
3.4 decision making under risk
3.4 decision making under risk3.4 decision making under risk
3.4 decision making under risk
 
3.1.7 case 2 markov chain
3.1.7 case 2 markov chain3.1.7 case 2 markov chain
3.1.7 case 2 markov chain
 
3.1.4 Steady State Probability
3.1.4 Steady State Probability3.1.4 Steady State Probability
3.1.4 Steady State Probability
 
3.1 introduction decision theory
3.1 introduction decision theory3.1 introduction decision theory
3.1 introduction decision theory
 
3.7 case 2 decision theory
3.7 case 2 decision theory3.7 case 2 decision theory
3.7 case 2 decision theory
 

More from Vishal Tidake

Working Capital Management.pptx
Working Capital Management.pptxWorking Capital Management.pptx
Working Capital Management.pptx
Vishal Tidake
 
Cash Flow Statement.pptx
Cash Flow Statement.pptxCash Flow Statement.pptx
Cash Flow Statement.pptx
Vishal Tidake
 
2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx
Vishal Tidake
 
Ratio Analysis.pptx
Ratio Analysis.pptxRatio Analysis.pptx
Ratio Analysis.pptx
Vishal Tidake
 
Chapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptxChapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptx
Vishal Tidake
 
1.6 key strategies of financial management
1.6 key strategies of financial management1.6 key strategies of financial management
1.6 key strategies of financial management
Vishal Tidake
 
1.5 a's of financial management
1.5 a's of financial management1.5 a's of financial management
1.5 a's of financial management
Vishal Tidake
 
1.4 functions of financial management
1.4 functions of financial management1.4 functions of financial management
1.4 functions of financial management
Vishal Tidake
 
1.3 approaches to finance
1.3 approaches to finance1.3 approaches to finance
1.3 approaches to finance
Vishal Tidake
 
1.2 introduction to financial management
1.2 introduction to financial management1.2 introduction to financial management
1.2 introduction to financial management
Vishal Tidake
 
1.1 introduction to finance
1.1 introduction to finance1.1 introduction to finance
1.1 introduction to finance
Vishal Tidake
 
Accounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M TidakeAccounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M Tidake
Vishal Tidake
 
5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution
Vishal Tidake
 
5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution
Vishal Tidake
 
5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution
Vishal Tidake
 
5.2.6 case 1 poisson probability distribution
5.2.6 case 1 poisson probability distribution5.2.6 case 1 poisson probability distribution
5.2.6 case 1 poisson probability distribution
Vishal Tidake
 
5.2.5 case 2 binomial probability distribution
5.2.5 case 2 binomial probability distribution5.2.5 case 2 binomial probability distribution
5.2.5 case 2 binomial probability distribution
Vishal Tidake
 
5.2.4 case 1 binomial probability distribution
5.2.4 case 1 binomial probability distribution5.2.4 case 1 binomial probability distribution
5.2.4 case 1 binomial probability distribution
Vishal Tidake
 
5.10 case 7 probability
5.10 case 7 probability5.10 case 7 probability
5.10 case 7 probability
Vishal Tidake
 
5.9 case 6 probability
5.9 case 6 probability5.9 case 6 probability
5.9 case 6 probability
Vishal Tidake
 

More from Vishal Tidake (20)

Working Capital Management.pptx
Working Capital Management.pptxWorking Capital Management.pptx
Working Capital Management.pptx
 
Cash Flow Statement.pptx
Cash Flow Statement.pptxCash Flow Statement.pptx
Cash Flow Statement.pptx
 
2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx
 
Ratio Analysis.pptx
Ratio Analysis.pptxRatio Analysis.pptx
Ratio Analysis.pptx
 
Chapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptxChapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptx
 
1.6 key strategies of financial management
1.6 key strategies of financial management1.6 key strategies of financial management
1.6 key strategies of financial management
 
1.5 a's of financial management
1.5 a's of financial management1.5 a's of financial management
1.5 a's of financial management
 
1.4 functions of financial management
1.4 functions of financial management1.4 functions of financial management
1.4 functions of financial management
 
1.3 approaches to finance
1.3 approaches to finance1.3 approaches to finance
1.3 approaches to finance
 
1.2 introduction to financial management
1.2 introduction to financial management1.2 introduction to financial management
1.2 introduction to financial management
 
1.1 introduction to finance
1.1 introduction to finance1.1 introduction to finance
1.1 introduction to finance
 
Accounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M TidakeAccounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M Tidake
 
5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution
 
5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution
 
5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution
 
5.2.6 case 1 poisson probability distribution
5.2.6 case 1 poisson probability distribution5.2.6 case 1 poisson probability distribution
5.2.6 case 1 poisson probability distribution
 
5.2.5 case 2 binomial probability distribution
5.2.5 case 2 binomial probability distribution5.2.5 case 2 binomial probability distribution
5.2.5 case 2 binomial probability distribution
 
5.2.4 case 1 binomial probability distribution
5.2.4 case 1 binomial probability distribution5.2.4 case 1 binomial probability distribution
5.2.4 case 1 binomial probability distribution
 
5.10 case 7 probability
5.10 case 7 probability5.10 case 7 probability
5.10 case 7 probability
 
5.9 case 6 probability
5.9 case 6 probability5.9 case 6 probability
5.9 case 6 probability
 

Recently uploaded

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfEnhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
GetInData
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Aggregage
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Lars Albertsson
 
Natural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptxNatural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptx
fkyes25
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
AndrzejJarynowski
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
slg6lamcq
 
Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......
Sachin Paul
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Bill641377
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
soxrziqu
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Sm321
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 

Recently uploaded (20)

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfEnhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
 
Natural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptxNatural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptx
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
 
Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 

2.2 terminology of transportation problem

  • 1. www.sanjivanimba.org.in Unit No.2. DECISION SCIENCE Presented By: Dr. V. M. Tidake Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem) Professor & Head Dept. of MBA 1 Sanjivani College of Engineering, Kopargaon Department of MBA www.sanjivanimba.org.in
  • 2. www.sanjivanimba.org.in 302-DECISION SCIENCE Unit No.2. Transportation & Assignment 2.2 Terminology in Transportation Problem Presented By: Dr. V. M. Tidake Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem) Professor & Head Dept. of MBA 2 Sanjivani College of Engineering, Kopargaon Department of MBA www.sanjivanimba.org.in
  • 3. www.sanjivanimba.org.in TRANSPORTATION & ASSIGNMENT  At the End of the Session Student will be able to understand- A. Terminology in Transportation Problem
  • 4. www.sanjivanimba.org.in Terminology of Transportation model Balanced Transportation Problem: If Total Supply equals Total Demand. Unbalanced Transportation Problem: If Total Supply does not equals Total Demand. Transportation Table: PLANT WAREHOUSE SUPPLYMumbai Pune Ahmedab ad Bangalore 10 10 10 --- 130 Hyderaba d 10 10 --- 10 120 Kolkata 10 10 --- 10 130 DEMAND 210 60 110 380 70 60 60 80 50 60
  • 5. www.sanjivanimba.org.in Terminology of Transportation model Dummy Source or Destination: It is a dummy row or column (having 0 transportation cost per cell) to be added in order to balance the Transportation Problem. Initial Feasible Solution: It is a solution that satisfies the demand and supply conditions and yet it may or may not be the optimum one. There are 03 methods to obtain the same- a) North West Corner Method (NWCM) b) Matrix Minima or Least Cost Method (LCM) c) Vogel’s Approximation Method (VAM) Optimum Solution: It is a feasible solution which also gives a minimum cost transportation plan. There are 02 methods to obtain the same- a) Stepping Stone Method or b) Modified Distribution Method (MODI)
  • 6. www.sanjivanimba.org.in EXERCISE  List down and Explain the various terminologies used in Transportation Problem.
  • 7. www.sanjivanimba.org.in For More Details Contact Dr. V M Tidake tidkevishal@gmail.com tidkevishalmba@sanjivani.org.in