Formulation of Transportation Problem, Initial Feasible Solution
Methods, Degeneracy in Transport Problem and Optimality Test (Modi Method and stepping stone Method)
Transportation Method
Initial Basic Feasible Solution-IBFS
North West Corner Method--NWCM ,
Least Cost Method--LCM and
Vogel’s Approximation Method--VAM
Optimality Test using Modified Distribution Method-MODI method.
Variation in transportation
Unbalance Supply and Demand
Degeneracy and its resolution
Maximization Problem
This chapter introduces the basic concepts and terminology of statistics. It discusses two main branches of statistics - descriptive statistics which involves collecting, organizing and summarizing data, and inferential statistics which allows drawing conclusions about populations from samples. The chapter also covers variables, populations, samples, parameters, statistics and how to organize and visualize data through tables, charts and graphs. It emphasizes that statistics helps turn data into useful information for decision making in business.
The document provides an overview of a time series analysis and forecasting course. It discusses key topics that will be covered including descriptive statistics, correlation, regression, hypothesis testing, clustering, time series analysis and forecasting techniques like TCSI and ARIMA models. It notes that the presentation serves as class notes and contains informal high-level summaries intended to aid the author, and encourages readers to check the website for updated versions of the document.
This document discusses transportation models and methods for finding an initial basic feasible solution and testing for optimality in transportation problems. It describes three methods - northwest corner, least cost, and Vogel's approximation - for obtaining an initial solution. It then explains how to test if the initial solution is optimal using the MODI or u-v method by calculating opportunity costs for unoccupied cells and finding a closed path if any cells have negative opportunity costs to obtain an improved solution. The process repeats until all opportunity costs are non-negative, indicating an optimal solution.
This presentation is made to represent the basic transportation model. The aim of this presentation is to implement the transportation model in solving transportation problem.
The document outlines the presentation topic of Modified Distribution Method (MODI Method) for solving transportation problems. It first discusses the prerequisite methods of Least Cost Method, Vogel's Approximation Method and North-West Corner Method. It then explains the steps of MODI Method which involves setting up cost matrices for unallocated cells and introducing dual variables to find the implicit cost and evaluate unoccupied cells to determine if the initial solution can be improved. The document provides an example problem and solution to demonstrate the application of MODI Method.
- Index numbers measure relative changes in variables like prices, quantities, values over time from a base period. They are used to frame policies, reveal trends, and for deflating purposes.
- There are different methods for constructing index numbers, including simple aggregate methods, simple average of relatives methods, and weighted index numbers that assign weights.
- Common weighted indexes include the Laspeyres method which uses base period weights, the Paasche method which uses current period weights, and the Fisher Ideal Index which takes the geometric mean of the Laspeyres and Paasche.
Transportation Method
Initial Basic Feasible Solution-IBFS
North West Corner Method--NWCM ,
Least Cost Method--LCM and
Vogel’s Approximation Method--VAM
Optimality Test using Modified Distribution Method-MODI method.
Variation in transportation
Unbalance Supply and Demand
Degeneracy and its resolution
Maximization Problem
This chapter introduces the basic concepts and terminology of statistics. It discusses two main branches of statistics - descriptive statistics which involves collecting, organizing and summarizing data, and inferential statistics which allows drawing conclusions about populations from samples. The chapter also covers variables, populations, samples, parameters, statistics and how to organize and visualize data through tables, charts and graphs. It emphasizes that statistics helps turn data into useful information for decision making in business.
The document provides an overview of a time series analysis and forecasting course. It discusses key topics that will be covered including descriptive statistics, correlation, regression, hypothesis testing, clustering, time series analysis and forecasting techniques like TCSI and ARIMA models. It notes that the presentation serves as class notes and contains informal high-level summaries intended to aid the author, and encourages readers to check the website for updated versions of the document.
This document discusses transportation models and methods for finding an initial basic feasible solution and testing for optimality in transportation problems. It describes three methods - northwest corner, least cost, and Vogel's approximation - for obtaining an initial solution. It then explains how to test if the initial solution is optimal using the MODI or u-v method by calculating opportunity costs for unoccupied cells and finding a closed path if any cells have negative opportunity costs to obtain an improved solution. The process repeats until all opportunity costs are non-negative, indicating an optimal solution.
This presentation is made to represent the basic transportation model. The aim of this presentation is to implement the transportation model in solving transportation problem.
The document outlines the presentation topic of Modified Distribution Method (MODI Method) for solving transportation problems. It first discusses the prerequisite methods of Least Cost Method, Vogel's Approximation Method and North-West Corner Method. It then explains the steps of MODI Method which involves setting up cost matrices for unallocated cells and introducing dual variables to find the implicit cost and evaluate unoccupied cells to determine if the initial solution can be improved. The document provides an example problem and solution to demonstrate the application of MODI Method.
- Index numbers measure relative changes in variables like prices, quantities, values over time from a base period. They are used to frame policies, reveal trends, and for deflating purposes.
- There are different methods for constructing index numbers, including simple aggregate methods, simple average of relatives methods, and weighted index numbers that assign weights.
- Common weighted indexes include the Laspeyres method which uses base period weights, the Paasche method which uses current period weights, and the Fisher Ideal Index which takes the geometric mean of the Laspeyres and Paasche.
Lecture: Joint, Conditional and Marginal Probabilities Marina Santini
The document discusses joint, conditional, and marginal probabilities. It begins with an introduction to joint and conditional probabilities, defining conditional probability as the probability of event A given event B. It then presents the multiplication rule for calculating joint probabilities from conditional probabilities and marginal probabilities. The document provides examples and calculations to illustrate these probability concepts. It concludes with short quizzes to test understanding of applying the multiplication rule.
Transportation Problem In Linear ProgrammingMirza Tanzida
This work is an assignment on the course of 'Mathematics for Decision Making'. I think, it will provide some basic concept about transportation problem in linear programming.
The document describes a transportation problem and its solution. A transportation problem aims to minimize the cost of distributing goods from multiple sources to multiple destinations, given supply and demand constraints. It describes the basic components and phases of solving a transportation problem, including obtaining an initial feasible solution and then optimizing the solution using methods like the stepping stone method. The stepping stone method traces paths between cells on the transportation table to find negative cost cycles, and adjusts values to further optimize the solution.
The document summarizes the transportation problem in operations research. The objective is to transport goods from multiple origins to destinations in a way that minimizes total transportation costs. The problem can be formulated as a linear programming problem that minimizes costs subject to supply and demand constraints, with the decision variables representing quantities shipped between origin-destination pairs. A tabular representation shows the costs of shipping between all origin-destination combinations.
The Traveling Salesman Problem (TSP) involves finding the minimum cost tour that visits each customer exactly once and returns to the starting depot. Key heuristics to solve the TSP include nearest neighbor, insertion methods, and 2-opt exchanges. The Vehicle Routing Problem (VRP) extends the TSP by routing multiple vehicles of limited capacity from a central depot to serve customer demands. Common heuristics for the VRP include savings algorithms and sweep methods.
This document contains multiple statistics exercises involving chi-square tests of goodness of fit and independence. It includes examples of contingency tables with observed and expected frequencies, calculations of chi-square test statistics, and statements of null and alternative hypotheses. Students are asked to perform chi-square analyses to determine if data follow particular distributions or if two variables are independent. The exercises cover concepts like degrees of freedom, contingency tables, chi-square distributions, and testing hypotheses with chi-square tests.
The document discusses transportation problems and their solutions. It defines transportation problems as dealing with assigning origins to destinations to maximize effectiveness. It outlines the history of transportation models and some common applications. It then describes the standard process of formulating a transportation problem and several algorithms for solving transportation problems, including the North West Corner Rule, Row Minima Method, Column Minima Method, Least Cost Method, and Vogel's Approximation Method.
The document discusses transportation and assignment models in operations research. The transportation model aims to minimize the cost of distributing a product from multiple sources to multiple destinations, while satisfying supply and demand constraints. The assignment model finds optimal one-to-one matching between sources and destinations to minimize costs. Some solution methods for transportation problems include the northwest corner method, row minima method, column minima method, and least cost method. The Hungarian method is commonly used to solve assignment problems by finding the minimum cost matching.
A study on customer satisfaction towards smartphone with special reference to...RajaKrishnan M
A study on customer satisfaction towards smartphone with special reference to Tirupur city - The study was undertaken by B.Com CA student in the year of 2016-2017.
This document discusses sequencing problems and queuing theory. It defines sequencing problems as determining the optimal order of jobs processed on machines to minimize total time. It describes different types of sequencing problems involving various numbers of jobs and machines. The document then provides algorithms for solving sequencing problems with two machines and more than two machines. It also discusses queuing theory concepts like arrival patterns, service mechanisms, queue discipline, and queuing models like M/M/1.
Final report on Consumer Buying Behavior and Factors Affecting their Buying B...Pran Mahato
This document is a project report submitted by Pran Kumar Mahato to the Central University of Jharkhand in partial fulfillment of an Integrated Master of Business Administration degree. The report studies consumer buying behavior and factors affecting buying behavior at Big Bazaar in Bokaro, India. It includes sections on objectives, scope, importance, company profile, literature review, research methodology, analysis and evaluation, recommendations, and conclusions. The report was conducted under the guidance of Shikha Sharma, an HR executive at Big Bazaar.
Steps to solve Transportation models by North west corner method are given the presentation. North west corner method is one of the well known methods used to solve the transportation models.
Solving Degenaracy in Transportation Problemmkmanik
- The document discusses solving degeneracy in transportation problems using the example of a transportation problem with 4 sources and 5 destinations.
- An initial basic feasible solution is found using the least cost method, but it results in a degenerate solution since the number of allocated cells is less than m + n - 1.
- To solve the degeneracy, an unallocated cell is selected and allocated a value to satisfy the condition. Here, an unallocated cell value of 5 is selected and assigned the value ε.
- The solution is then optimized using the U-V method by calculating Uj + Vi = Cij for allocated cells and penalties Pij for unallocated cells until all penalties are less than
Transportation Problem in Operational ResearchNeha Sharma
The document discusses the transportation problem and methods for finding its optimal solution. It begins by defining key terminology used in transportation models like feasible solution, basic feasible solution, and optimal solution. It then outlines the basic steps to obtain an initial basic feasible solution and subsequently improve it to reach the optimal solution. Three common methods for obtaining the initial solution are described: the Northwest Corner Method, Least Cost Entry Method, and Vogel's Approximation Method. The document also addresses how to solve unbalanced transportation problems and provides examples applying the methods.
This document provides an overview of time series analysis and its key components. It discusses that a time series is a set of data measured at successive times joined together by time order. The main components of a time series are trends, seasonal variations, cyclical variations, and irregular variations. Time series analysis is important for business forecasting, understanding past behavior, and facilitating comparison. There are two main mathematical models used - the additive model which assumes data is the sum of its components, and the multiplicative model which assumes data is the product of its components. Decomposition of a time series involves discovering, measuring, and isolating these different components.
Transportation Modelling - Quantitative Analysis and Discrete MathsKrupesh Shah
This document provides information about different methods for solving transportation problems. It begins with an introduction to transportation modeling and describes how to set up a transportation problem matrix with supply, demand, and shipping costs. It then explains four methods to obtain an initial feasible solution: Northwest Corner Rule, Least Cost Method, Vogel's Approximation Method, and Modified Distribution (MODI) Method. The MODI Method is described as the preferred approach for finding an optimal solution, involving setting row and column values to satisfy the transportation problem and identify penalties for non-basic cells. The document provides a numerical example demonstrating the use of the MODI Method to arrive at the optimal transportation solution.
Modified distribution method (modi method)Dinesh Suthar
The document describes the Modified Distribution Method (MODI Method) for finding the optimal transportation plan. It involves the following steps: 1) Determine an initial basic feasible solution, 2) Calculate dual variables to find opportunity costs, 3) Select the cell with most negative opportunity cost to add to the solution, 4) Draw a closed loop and update values along the loop until all opportunity costs are non-negative, indicating optimality. The example shows applying the MODI Method to find the least-cost shipment plan to meet brick orders from two plants. The optimal solution ships a total of 80 tons at a cost of Rs. 2,490.
Quantitative Analysis for Business Decision - Chapter 1kishoressrinivas
This document discusses data collection and classification. It defines primary data as data originally collected for the first time through methods like personal interviews, questionnaires, and observation. Secondary data comes from existing sources like published books, journals, and newspapers. There are two main types of classification - qualitative, which organizes data by descriptive attributes, and quantitative, which organizes data numerically as discrete or continuous variables. The objectives of classification are to simplify complex data, establish relationships between series, and present information in a condensed form.
This document discusses transportation problems and their solutions. It describes transportation problems as involving determining which factories should supply which warehouses and in what amounts. It presents transportation problems as linear programming problems that can be formulated into a matrix. It then describes various methods for finding initial basic feasible solutions such as the North West Corner Method and Minimum Cost Method. It also discusses testing solutions for optimality and special cases like unbalanced problems, degeneracy, and maximization problems.
Modi Method to find least cost in Trasportation Problemmkmanik
The document describes the MODI (minimization of distribution cost) method for solving transportation problems. It involves finding an initial basic feasible solution, such as with the Northwest Corner method, and then optimizing it using the U-V method. An example problem is provided and solved step-by-step using the U-V method. The method finds penalty values for unallocated cells, identifies positive penalties to create new basic cells, and performs matrix iterations by adding/subtracting values along closed loops until an optimal solution is reached with all negative or zero penalties.
The document discusses rolling contact bearings. It begins by defining bearings and their purpose of supporting loads while permitting relative motion. It then discusses the different types of rolling contact bearings, including deep groove ball bearings, angular contact bearings, cylindrical roller bearings, taper roller bearings, and self-aligning bearings. The document also covers bearing materials, static load capacity, and Stribeck's equation for calculating static load capacity.
Operation research unit 2 Duality and methodsDr. L K Bhagi
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can calm the mind and body by lowering heart rate and blood pressure. Meditation may also have psychological benefits like improving mood and reducing rumination.
Lecture: Joint, Conditional and Marginal Probabilities Marina Santini
The document discusses joint, conditional, and marginal probabilities. It begins with an introduction to joint and conditional probabilities, defining conditional probability as the probability of event A given event B. It then presents the multiplication rule for calculating joint probabilities from conditional probabilities and marginal probabilities. The document provides examples and calculations to illustrate these probability concepts. It concludes with short quizzes to test understanding of applying the multiplication rule.
Transportation Problem In Linear ProgrammingMirza Tanzida
This work is an assignment on the course of 'Mathematics for Decision Making'. I think, it will provide some basic concept about transportation problem in linear programming.
The document describes a transportation problem and its solution. A transportation problem aims to minimize the cost of distributing goods from multiple sources to multiple destinations, given supply and demand constraints. It describes the basic components and phases of solving a transportation problem, including obtaining an initial feasible solution and then optimizing the solution using methods like the stepping stone method. The stepping stone method traces paths between cells on the transportation table to find negative cost cycles, and adjusts values to further optimize the solution.
The document summarizes the transportation problem in operations research. The objective is to transport goods from multiple origins to destinations in a way that minimizes total transportation costs. The problem can be formulated as a linear programming problem that minimizes costs subject to supply and demand constraints, with the decision variables representing quantities shipped between origin-destination pairs. A tabular representation shows the costs of shipping between all origin-destination combinations.
The Traveling Salesman Problem (TSP) involves finding the minimum cost tour that visits each customer exactly once and returns to the starting depot. Key heuristics to solve the TSP include nearest neighbor, insertion methods, and 2-opt exchanges. The Vehicle Routing Problem (VRP) extends the TSP by routing multiple vehicles of limited capacity from a central depot to serve customer demands. Common heuristics for the VRP include savings algorithms and sweep methods.
This document contains multiple statistics exercises involving chi-square tests of goodness of fit and independence. It includes examples of contingency tables with observed and expected frequencies, calculations of chi-square test statistics, and statements of null and alternative hypotheses. Students are asked to perform chi-square analyses to determine if data follow particular distributions or if two variables are independent. The exercises cover concepts like degrees of freedom, contingency tables, chi-square distributions, and testing hypotheses with chi-square tests.
The document discusses transportation problems and their solutions. It defines transportation problems as dealing with assigning origins to destinations to maximize effectiveness. It outlines the history of transportation models and some common applications. It then describes the standard process of formulating a transportation problem and several algorithms for solving transportation problems, including the North West Corner Rule, Row Minima Method, Column Minima Method, Least Cost Method, and Vogel's Approximation Method.
The document discusses transportation and assignment models in operations research. The transportation model aims to minimize the cost of distributing a product from multiple sources to multiple destinations, while satisfying supply and demand constraints. The assignment model finds optimal one-to-one matching between sources and destinations to minimize costs. Some solution methods for transportation problems include the northwest corner method, row minima method, column minima method, and least cost method. The Hungarian method is commonly used to solve assignment problems by finding the minimum cost matching.
A study on customer satisfaction towards smartphone with special reference to...RajaKrishnan M
A study on customer satisfaction towards smartphone with special reference to Tirupur city - The study was undertaken by B.Com CA student in the year of 2016-2017.
This document discusses sequencing problems and queuing theory. It defines sequencing problems as determining the optimal order of jobs processed on machines to minimize total time. It describes different types of sequencing problems involving various numbers of jobs and machines. The document then provides algorithms for solving sequencing problems with two machines and more than two machines. It also discusses queuing theory concepts like arrival patterns, service mechanisms, queue discipline, and queuing models like M/M/1.
Final report on Consumer Buying Behavior and Factors Affecting their Buying B...Pran Mahato
This document is a project report submitted by Pran Kumar Mahato to the Central University of Jharkhand in partial fulfillment of an Integrated Master of Business Administration degree. The report studies consumer buying behavior and factors affecting buying behavior at Big Bazaar in Bokaro, India. It includes sections on objectives, scope, importance, company profile, literature review, research methodology, analysis and evaluation, recommendations, and conclusions. The report was conducted under the guidance of Shikha Sharma, an HR executive at Big Bazaar.
Steps to solve Transportation models by North west corner method are given the presentation. North west corner method is one of the well known methods used to solve the transportation models.
Solving Degenaracy in Transportation Problemmkmanik
- The document discusses solving degeneracy in transportation problems using the example of a transportation problem with 4 sources and 5 destinations.
- An initial basic feasible solution is found using the least cost method, but it results in a degenerate solution since the number of allocated cells is less than m + n - 1.
- To solve the degeneracy, an unallocated cell is selected and allocated a value to satisfy the condition. Here, an unallocated cell value of 5 is selected and assigned the value ε.
- The solution is then optimized using the U-V method by calculating Uj + Vi = Cij for allocated cells and penalties Pij for unallocated cells until all penalties are less than
Transportation Problem in Operational ResearchNeha Sharma
The document discusses the transportation problem and methods for finding its optimal solution. It begins by defining key terminology used in transportation models like feasible solution, basic feasible solution, and optimal solution. It then outlines the basic steps to obtain an initial basic feasible solution and subsequently improve it to reach the optimal solution. Three common methods for obtaining the initial solution are described: the Northwest Corner Method, Least Cost Entry Method, and Vogel's Approximation Method. The document also addresses how to solve unbalanced transportation problems and provides examples applying the methods.
This document provides an overview of time series analysis and its key components. It discusses that a time series is a set of data measured at successive times joined together by time order. The main components of a time series are trends, seasonal variations, cyclical variations, and irregular variations. Time series analysis is important for business forecasting, understanding past behavior, and facilitating comparison. There are two main mathematical models used - the additive model which assumes data is the sum of its components, and the multiplicative model which assumes data is the product of its components. Decomposition of a time series involves discovering, measuring, and isolating these different components.
Transportation Modelling - Quantitative Analysis and Discrete MathsKrupesh Shah
This document provides information about different methods for solving transportation problems. It begins with an introduction to transportation modeling and describes how to set up a transportation problem matrix with supply, demand, and shipping costs. It then explains four methods to obtain an initial feasible solution: Northwest Corner Rule, Least Cost Method, Vogel's Approximation Method, and Modified Distribution (MODI) Method. The MODI Method is described as the preferred approach for finding an optimal solution, involving setting row and column values to satisfy the transportation problem and identify penalties for non-basic cells. The document provides a numerical example demonstrating the use of the MODI Method to arrive at the optimal transportation solution.
Modified distribution method (modi method)Dinesh Suthar
The document describes the Modified Distribution Method (MODI Method) for finding the optimal transportation plan. It involves the following steps: 1) Determine an initial basic feasible solution, 2) Calculate dual variables to find opportunity costs, 3) Select the cell with most negative opportunity cost to add to the solution, 4) Draw a closed loop and update values along the loop until all opportunity costs are non-negative, indicating optimality. The example shows applying the MODI Method to find the least-cost shipment plan to meet brick orders from two plants. The optimal solution ships a total of 80 tons at a cost of Rs. 2,490.
Quantitative Analysis for Business Decision - Chapter 1kishoressrinivas
This document discusses data collection and classification. It defines primary data as data originally collected for the first time through methods like personal interviews, questionnaires, and observation. Secondary data comes from existing sources like published books, journals, and newspapers. There are two main types of classification - qualitative, which organizes data by descriptive attributes, and quantitative, which organizes data numerically as discrete or continuous variables. The objectives of classification are to simplify complex data, establish relationships between series, and present information in a condensed form.
This document discusses transportation problems and their solutions. It describes transportation problems as involving determining which factories should supply which warehouses and in what amounts. It presents transportation problems as linear programming problems that can be formulated into a matrix. It then describes various methods for finding initial basic feasible solutions such as the North West Corner Method and Minimum Cost Method. It also discusses testing solutions for optimality and special cases like unbalanced problems, degeneracy, and maximization problems.
Modi Method to find least cost in Trasportation Problemmkmanik
The document describes the MODI (minimization of distribution cost) method for solving transportation problems. It involves finding an initial basic feasible solution, such as with the Northwest Corner method, and then optimizing it using the U-V method. An example problem is provided and solved step-by-step using the U-V method. The method finds penalty values for unallocated cells, identifies positive penalties to create new basic cells, and performs matrix iterations by adding/subtracting values along closed loops until an optimal solution is reached with all negative or zero penalties.
The document discusses rolling contact bearings. It begins by defining bearings and their purpose of supporting loads while permitting relative motion. It then discusses the different types of rolling contact bearings, including deep groove ball bearings, angular contact bearings, cylindrical roller bearings, taper roller bearings, and self-aligning bearings. The document also covers bearing materials, static load capacity, and Stribeck's equation for calculating static load capacity.
Operation research unit 2 Duality and methodsDr. L K Bhagi
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can calm the mind and body by lowering heart rate and blood pressure. Meditation may also have psychological benefits like improving mood and reducing rumination.
MEC395 Measurement System Analysis (MSA)Dr. L K Bhagi
Discussed SPC, variable Gauge R&R, Repeatability and Reproducibility with Examples calculation of variable Gauge R&R, Bias, Linearity and Stability with examples.
Sheet Metal Working, Temperature and sheet metal forming, Applications Sheet Metal Parts, Categories of sheet metal processes, Shearing, stages in shearing action, Punch and Die Sizes, Sheet Metal Bending
Eco-industrial park and cleaner productionDr. L K Bhagi
1. Industrial ecology is the study of material and energy flows through industrial systems.
2. It takes a multidisciplinary approach and examines issues from perspectives involving the environment, society, economics, and technology to promote sustainable development.
3. The goal is to shift industrial processes from linear open loop systems that produce waste, to closed loop systems where wastes can be used as inputs for new processes.
The document contains a series of questions and answers related to gears and gear design. It discusses topics like tooth interference, torque transmission ratios, speed reductions, minimum number of teeth, center distance calculations, and stress analysis. For each question, the relevant concepts and equations are explained to arrive at the solution. Gear terminology and relationships between different gear types and shaft arrangements are also covered.
The document discusses helical gears. Some key points:
- Helical gears have teeth cut at an angle (helix angle) ranging usually between 15-30 degrees, compared to spur gears which have straight teeth parallel to the shaft axis.
- Helical gears can be parallel, crossed, or herringbone. Herringbone gears cancel thrust loads by using two sets of teeth with opposite hands.
- Helical gears carry more load than equivalent spur gears because the teeth act over a larger effective area due to the helix angle. However, efficiency is lower for helical gears due to increased sliding contact.
- Additional geometry considerations are required for helical gears, including normal and transverse pit
Introduction to casting, Major classifications of casting, Casting terminology, Characteristics of molding sand, Constituents of foundry sand, Patterns and their types, Cores and types of cores, Gating system, Types of gates, Solidification, Riser system, Types of riser, Types of allowances, Directional Solidification, Defects in casting, Riser design(Chvorinov's rules), Advanced casting techniques:Shell molding, Permanent mould casting, Vacuum die casting, Low pressure die casting, Continuous casting, Squeeze casting, Slush casting, Vacuum casting, Die Casting, Centrifugal casting, Investment casting
Introduction to casting, Major classifications of casting, Casting terminology, Characteristics of molding sand, Constituents of foundry sand, Patterns and their types, Cores and types of cores, Gating system, Types of gates, Solidification, Riser system, Types of riser, Types of allowances, Directional Solidification, Defects in casting, Riser design(Chvorinov's rules), Advanced casting techniques:Shell molding, Permanent mould casting, Vacuum die casting, Low pressure die casting, Continuous casting, Squeeze casting, Slush casting, Vacuum casting, Die Casting, Centrifugal casting, Investment casting
Design of Flat belt, V belt and chain drivesDr. L K Bhagi
Geometrical relationships, Analysis of belt tensions, Condition for maximum power transmission, Characteristics of belt drives, Selection of flat belt, V- belt, Selection of V belt, Roller chains, Geometrical relationship, Polygonal effect, Power rating of roller chains, Design of chain drive, Introduction to belt drives and belt construction, Introduction to chain drives
Springs - DESIGN OF MACHINE ELEMENTS-IIDr. L K Bhagi
Introduction to springs, Types and terminology of springs, Stress and deflection equations, Series and parallel connection, Design of helical springs, Design against fluctuating load, Concentric springs, Helical torsion springs, Spiral springs, Multi-leaf springs, Optimum design of helical spring
General introduction to manufacturing processesDr. L K Bhagi
Manufacturing processes definition, Classification of manufacturing processes, Typical examples of applications, Manufacturing capability, Selection of materials, Selection of manufacturing process
This document is a series of lecture slides about sheet metal working and bending processes. It discusses topics like mechanics of sheet metal bending, bend allowance, numerical problems calculating blank size and bending force, springback and methods to eliminate it, including overbending and stretch forming. It also covers drawing as a sheet metal forming operation used to make cup-shaped or complex curved parts by pushing metal into a die cavity with a punch.
Press tool operations, Shearing action, Shear operations, Numerical problems, Drawing, Draw die design, Spinning, Bending, Stretch forming, Embossing and coining, Types of sheet metal dies, Analysis of sheet metal
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Digital Artefact 1 - Tiny Home Environmental Design
Operation research unit 3 Transportation problem
1. OPERATION RESEARCH
UNIT – III (Transportation and Assignment)
Dr. Loveleen Kumar Bhagi
Associate Professor
School of Mechanical Engineering
LPU
Formulation of Transportation Problem, Initial Feasible Solution
Methods, Optimality Test, Degeneracy in TP, Assignment Problem,
Hungerian Method,Traveling Salesman Problem
Commodities areTRANSPORTED while peopleTRAVEL
2. Transportation Model
The transportation model deals with a special class of linear programming problem in which the
objective is to transport a homogeneous commodity from various origins or factories or supply
centers to different destinations or markets or demand centers at a total minimum cost.
Dr. L K Bhagi, School of Mechanical Engineering, LPU
2
19. Dr. L K Bhagi, School of Mechanical Engineering, LPU
19
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5 3 2
6
1
10
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
20. Dr. L K Bhagi, School of Mechanical Engineering, LPU
20
VAM Destinations/Demand
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5 3 2
6
1
10
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
21. Dr. L K Bhagi, School of Mechanical Engineering, LPU
21
VAM Destinations/Demand
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5 3 2/1
6
1/0
10
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
22. Dr. L K Bhagi, School of Mechanical Engineering, LPU
22
VAM Destinations/Demand
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5 3 2/1
6
1/0
10
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
23. Dr. L K Bhagi, School of Mechanical Engineering, LPU
23
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5 3 2/1
6
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
24. Dr. L K Bhagi, School of Mechanical Engineering, LPU
24
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5/0 3 2/1
6/1
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
25. Dr. L K Bhagi, School of Mechanical Engineering, LPU
25
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
7 5/0 3 2/1
6/1
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X
3 3 4
26. Dr. L K Bhagi, School of Mechanical Engineering, LPU
26
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7 5/0 3 2/1
6/1
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
27. Dr. L K Bhagi, School of Mechanical Engineering, LPU
27
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6 5/0 3 2/1
6/1/0
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
28. Dr. L K Bhagi, School of Mechanical Engineering, LPU
28
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6 5/0 3 2/1
6/1/0
1/0
10
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
29. Dr. L K Bhagi, School of Mechanical Engineering, LPU
29
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6/0 5/0 3/0 2/1/0
6/1/0
1/0
10/0
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
6 3 1
30. Dr. L K Bhagi, School of Mechanical Engineering, LPU
30
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6/0 5/0 3/0 2/1/0
6/1/0
1/0
10/0
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
6 3 1
31. Dr. L K Bhagi, School of Mechanical Engineering, LPU
31
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6/0 5/0 3/0 2/1/0
6/1/0
1/0
10/0
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
6 3 1
𝑇𝐶 = 2 × 1 + 3 ×5+1×1+5×6+15×3+9× 1
= 𝑅𝑠. 102
32. Dr. L K Bhagi, School of Mechanical Engineering, LPU
32
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1
7/6/0 5/0 3/0 2/1/0
6/1/0
1/0
10/0
5
1
1 3 5 6
3 5 4 2
3 X 4 2
1 1 5
1 X X
3 3 4
6 3 1
𝑇𝐶 = 2 × 1 + 3 ×5+1×1+5×6+15×3+9× 1
= 𝑅𝑠. 102
35. Dr. L K Bhagi, School of Mechanical Engineering, LPU
35
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3 11 7
B 1 0 6 1
C 5 8 15 9
1 5
1
6 3 1
𝑇𝐶 = 2 × 1 +
3 ×5+1×1+5×6+15×3+9× 1
= 𝑅𝑠. 102
36. Dr. L K Bhagi, School of Mechanical Engineering, LPU
36
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
37. Dr. L K Bhagi, School of Mechanical Engineering, LPU
37
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
38. Dr. L K Bhagi, School of Mechanical Engineering, LPU
38
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
39. Dr. L K Bhagi, School of Mechanical Engineering, LPU
39
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
40. Dr. L K Bhagi, School of Mechanical Engineering, LPU
40
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
41. Dr. L K Bhagi, School of Mechanical Engineering, LPU
41
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
42. Dr. L K Bhagi, School of Mechanical Engineering, LPU
42
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
43. Dr. L K Bhagi, School of Mechanical Engineering, LPU
43
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
44. Dr. L K Bhagi, School of Mechanical Engineering, LPU
44
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
45. Dr. L K Bhagi, School of Mechanical Engineering, LPU
45
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
46. Dr. L K Bhagi, School of Mechanical Engineering, LPU
46
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
47. Dr. L K Bhagi, School of Mechanical Engineering, LPU
47
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
48. Dr. L K Bhagi, School of Mechanical Engineering, LPU
48
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
49. Dr. L K Bhagi, School of Mechanical Engineering, LPU
49
VAM Destinations
Sources
or
Supply
Centres
P Q R S
A 2 3
B 1
C 5 15 9
𝑇𝐶 = 𝑅𝑠. 102
50. Dr. L K Bhagi, School of Mechanical Engineering, LPU
50
51. Dr. L K Bhagi, School of Mechanical Engineering, LPU
51
52. Dr. L K Bhagi, School of Mechanical Engineering, LPU
52
53. Dr. L K Bhagi, School of Mechanical Engineering, LPU
53
54. Dr. L K Bhagi, School of Mechanical Engineering, LPU
54
57. Dr. L K Bhagi, School of Mechanical Engineering, LPU
57
58. Dr. L K Bhagi, School of Mechanical Engineering, LPU
58
59. Dr. L K Bhagi, School of Mechanical Engineering, LPU
59
Modi method helps in comparing the relative advantage of alternative
allocations for all the unoccupied cells simultaneously.
The Modified-distribution (MODI) method (also called u-v method or
method of multipliers) is used to calculate opportunity cost associated with
each unoccupied cell and then improving the current solution leading to an
optimal solution.
60. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
60
61. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
61
62. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
62
63. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
63
64. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
64
65. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
65
66. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
66
67. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
67
68. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
68
69. Test For Optimality > Stepping Stone Method
Dr. L K Bhagi, School of Mechanical Engineering, LPU
69