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Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Dear students get fully solved assignments
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“ help.mbaassignments@gmail.com ”
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This document summarizes an algorithm for outsourcing and hiring workers in an online labor market. The TFO (Team Formation with Outsourcing) model aims to balance workloads and compatibility between workers while minimizing labor costs. It considers hiring workers at a fixed salary with costs for hiring and firing, and outsourcing work at an extra premium. The algorithm uses an online primal-dual technique to determine whether to hire or outsource at each step, based on these various costs. It was shown to achieve good competitive ratios compared to alternative approaches through experiments.
This document provides information about obtaining fully solved assignments from an assignment help service. It lists a mail ID and phone number to contact along with details about the subject code, semester, credits, and marks for an Operations Research assignment from the Winter 2013 semester. The assignment contains 6 questions and provides evaluation criteria. Students are instructed to answer all questions and note the word count requirement for longer questions.
This document discusses various applications of linear programming (LP) in areas such as marketing, finance, and operations management. In marketing, LP can be used for media selection and marketing research problems. It provides examples of using LP to determine an optimal advertising plan that maximizes exposure quality within a budget. In finance, LP is used for portfolio selection and financial planning problems. Operations management applications covered include make-or-buy decisions, production scheduling, workforce assignment, and blending problems.
The production possibilities frontier (PPF) indicates the maximum output combinations of two goods or services an economy can achieve with full employment of available resources. It assumes resources and technology are fixed. The opportunity cost refers to the next best alternative forgone in making a choice. It provides a basis for decision making, price determination, and efficient allocation of resources by analyzing the costs of all alternatives.
This document discusses different types of constrained optimization problems:
1) Maximizing utility subject to a budget constraint using substitution and Lagrange methods. The Lagrange method forms a Lagrangian function to incorporate the constraint.
2) Minimizing cost subject to a fixed output level. A firm aims to minimize labor and capital costs subject to producing a given output level using the production function.
3) Maximizing profit subject to a fixed production level. A firm aims to maximize profit (total revenue minus total cost) subject to producing a given output level using the production function. The Lagrange method can be used to solve nonlinear profit maximization problems.
This document discusses variations of the interval linear assignment problem. It begins with an introduction to assignment problems and defines them as problems that assign resources to activities to minimize cost or maximize profit on a one-to-one basis. It then provides the mathematical model for standard assignment problems and discusses variations such as non-square matrices, maximization/minimization objectives, constrained assignments, and alternate optimal solutions. The document also gives examples of managerial applications and provides two numerical examples solving interval linear assignment problems using an interval Hungarian method.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
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Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
This document summarizes an algorithm for outsourcing and hiring workers in an online labor market. The TFO (Team Formation with Outsourcing) model aims to balance workloads and compatibility between workers while minimizing labor costs. It considers hiring workers at a fixed salary with costs for hiring and firing, and outsourcing work at an extra premium. The algorithm uses an online primal-dual technique to determine whether to hire or outsource at each step, based on these various costs. It was shown to achieve good competitive ratios compared to alternative approaches through experiments.
This document provides information about obtaining fully solved assignments from an assignment help service. It lists a mail ID and phone number to contact along with details about the subject code, semester, credits, and marks for an Operations Research assignment from the Winter 2013 semester. The assignment contains 6 questions and provides evaluation criteria. Students are instructed to answer all questions and note the word count requirement for longer questions.
This document discusses various applications of linear programming (LP) in areas such as marketing, finance, and operations management. In marketing, LP can be used for media selection and marketing research problems. It provides examples of using LP to determine an optimal advertising plan that maximizes exposure quality within a budget. In finance, LP is used for portfolio selection and financial planning problems. Operations management applications covered include make-or-buy decisions, production scheduling, workforce assignment, and blending problems.
The production possibilities frontier (PPF) indicates the maximum output combinations of two goods or services an economy can achieve with full employment of available resources. It assumes resources and technology are fixed. The opportunity cost refers to the next best alternative forgone in making a choice. It provides a basis for decision making, price determination, and efficient allocation of resources by analyzing the costs of all alternatives.
This document discusses different types of constrained optimization problems:
1) Maximizing utility subject to a budget constraint using substitution and Lagrange methods. The Lagrange method forms a Lagrangian function to incorporate the constraint.
2) Minimizing cost subject to a fixed output level. A firm aims to minimize labor and capital costs subject to producing a given output level using the production function.
3) Maximizing profit subject to a fixed production level. A firm aims to maximize profit (total revenue minus total cost) subject to producing a given output level using the production function. The Lagrange method can be used to solve nonlinear profit maximization problems.
This document discusses variations of the interval linear assignment problem. It begins with an introduction to assignment problems and defines them as problems that assign resources to activities to minimize cost or maximize profit on a one-to-one basis. It then provides the mathematical model for standard assignment problems and discusses variations such as non-square matrices, maximization/minimization objectives, constrained assignments, and alternate optimal solutions. The document also gives examples of managerial applications and provides two numerical examples solving interval linear assignment problems using an interval Hungarian method.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
This document discusses packing problems and how to formulate and solve them as mixed integer linear programs (MILPs) using the Gurobi optimization solver. Packing problems involve fitting objects into containers in the most dense packing possible or using the fewest number of containers. The document provides examples of packing problems and presents an MILP formulation for packing rectangles. It explains why MILPs are suitable for packing problems and how to model the constraints, variables, and objective function. Finally, it outlines the basic steps for solving a packing problem MILP using Gurobi: defining the model struct, modifying parameters, running the optimization, and printing the solution.
This document provides information about getting fully solved assignments from an assignment help service. Students are instructed to send their semester and specialization name to the provided email address or call the given phone number to receive help with their assignments. Mailing is preferred over calling except in emergencies. The document then provides a sample assignment question related to operations research on the topics of linear programming, transportation problem, simulation, integer programming, PERT/CPM, and queuing systems.
This document provides information about getting solved assignments for the MBA Semester 2 Operations Research subject. It includes 6 questions related to operations research concepts like linear programming, transportation problems, assignment problems, and simulation. Students can get assignments solved at Rs. 125 each by emailing or calling the provided contact information. The questions cover topics like the framework of operations research, graphical and algebraic methods for linear programming problems, important terms in transportation problems, the Hungarian method for assignment problems, Monte Carlo simulation, assumptions of game theory, characteristics of Markov chains, and job prioritization rules.
This document discusses statistical cost estimation techniques, including variable costs, fixed costs, and mixed costs. It explains how to use the scattergraph method and regression analysis to derive a total cost equation and estimate mixed costs. Specifically, it discusses using regression to interpret results like the correlation coefficient, coefficient of determination, and t-statistic. It provides an example of using multiple regression with two predictor variables and interpreting those results. Finally, it discusses potential problems that can occur with regression data like curvilinear costs, outliers, spurious relations, and violating assumptions.
This document discusses various methods for determining and estimating cost behavior. It defines different types of costs such as fixed, variable, and mixed costs. It also explains cost functions and how managers can use cost functions to understand how costs change with activity levels. The document outlines some common assumptions made in estimating cost behavior and lists several quantitative and qualitative approaches to cost estimation including the industrial engineering method, conference method, account analysis method, and high-low method.
The document discusses the assignment problem and the Hungarian method for solving it. It provides definitions for key terms like balanced vs unbalanced assignment problems and dummy jobs/persons. It also outlines the mathematical formulation of assignment problems and lists some common application areas. The summary describes the Hungarian method as follows:
1) It is used to solve assignment problems by finding the minimum cost matching between people/objects and tasks.
2) The method works on a cost matrix representing all possible assignments.
3) It uses the principle that the optimal solution does not change if a constant is subtracted from rows/columns with a total cost of zero.
This document discusses replacement models for equipment and machines. It presents three models: 1) where maintenance costs increase over time and money value is constant, 2) where maintenance costs and money value both change over time, and 3) group replacement policy. It provides examples of calculating optimal replacement times using discounted cash flows and accounting for probability of failure in a group. The examples are solved to determine when equipment should be replaced to minimize average annual costs.
This document provides an overview of techniques for formalized sensitivity analysis and expected value decisions. It discusses determining sensitivity to parameter variation, using three estimates to analyze sensitivity, calculating expected values of cash flows and alternatives, and using decision trees to model staged evaluations under uncertainty. The techniques aim to account for variability in parameters, quantify uncertainty through probabilities, and identify best decisions considering risk.
The document defines short-run and long-run costs, and explains the relationships between total, fixed, and variable costs. It also defines average and marginal costs. Specifically, it states that in the short-run, output can be increased or decreased while fixed costs remain unchanged. Total cost equals fixed plus variable cost. Average and marginal cost curves are also discussed, with average cost initially declining and then increasing due to diminishing returns.
Analysis Of Purchasing Cost Savings Potential Using Cobb Douglas Production F...Bill Kohnen
Analysis of Purchasing Cost Savings Potential using Cobb Douglas Production Function. Abstract for Asian Technical Purchasing Conference
Singapore 2012
Author: Bill Kohnen
The document discusses various factors and methods used for facility location analysis. It describes key location factors such as proximity to suppliers, customers, labor, and community considerations. Methods covered include factor rating, load-distance modeling, center of gravity, break-even analysis, and transportation modeling. An example uses the load-distance model to evaluate potential warehouse locations based on distance to stores. The document provides information on different analytical approaches for evaluating and selecting among location alternatives.
The document discusses various concepts related to assignment and transportation problems including:
1) The steps to solve an assignment problem using the Hungarian method.
2) Examples of assignment problems involving personnel assignment and swimmer selection.
3) The formulation of a transportation problem to minimize shipping costs involving plants, cities, supply, and demand.
4) Examples of transportation problems involving flight assignment and power plant shipping costs.
5) How to solve transshipment problems by converting them into transportation problems.
This document contains 5 questions related to operations management for a Bachelor of Science degree program. Question 1 asks about competitiveness from an operations perspective and the four basic types of production processes. Question 2 asks about Quality Function Deployment (QFD) and provides an example. Question 3 provides information to analyze an assembly line process for making party cakes. Question 4 asks about learning curves and their uses and limitations. Question 5 asks about six sigma quality, benefits of just-in-time production, poka-yoke, overall equipment effectiveness, and pull systems.
This document is a module on cost analysis from Mr. Anirban of Christ College Institute of Management in Bangalore. It covers various cost concepts including actual and opportunity costs, fixed and variable costs, as well as cost curves like total, average, and marginal costs. Examples are provided to illustrate break-even analysis and the calculation of costs at different output levels. The module aims to explain traditional cost theory and how costs are measured in managerial economics.
Linear programming is a mathematical technique used to optimize performance under resource constraints. It involves defining an objective function and constraints to determine the optimal values of decision variables. This document provides an example of a company that manufactures two products using lathes and milling machines. The problem is formulated as a linear program to maximize profit by determining the optimal production volumes of each product given constraints on the available machine hours.
1. The document discusses different types of costs including variable costs, fixed costs, indirect costs, and mixed costs. It provides examples of calculating contribution margin and separating fixed and variable components of mixed costs.
2. Fixed costs remain constant regardless of the number of units produced, while variable costs fluctuate depending on the level of production. Mixed costs contain both fixed and variable elements.
3. The document includes examples of graphs that could be used to illustrate fixed costs over time, variable costs that increase with production volume, and scatter plots of mixed cost data. It also discusses outliers and the high-low estimation method.
The document discusses the concept of long-run average costs (LRAC) curves. It explains that in the long-run, all costs are variable as firms can adjust all inputs. The LRAC curve shows the minimum average cost for different output levels when all inputs are adjustable. It relates the LRAC curve to a firm's set of short-run average cost curves, which correspond to different plant sizes. Economies of scale exist when average costs decrease with increasing output, while diseconomies of scale occur when average costs increase with larger output. Naturally monopolies have LRAC curves with economies of scale over the entire market demand range. The shape of the LRAC curve depends on production technology.
The document discusses key concepts related to long-run average cost curves including:
- In the long-run, all factors of production are variable and firms can choose different plant sizes. The long-run average cost curve is U-shaped and envelopes short-run average cost curves.
- The long-run marginal cost curve is derived from the intersection of short-run marginal cost curves and the long-run average cost curve.
- Cost-volume-profit analysis uses the long-run average cost curve to determine the output level needed to break even or achieve a target profit level.
- Economies of scale exist when long-run average costs fall as output increases due to factors like financial, technical
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
This document provides information about getting fully solved assignments. Students should send their semester and specialization name to the provided email address or call the given phone number to receive assignments. The assignments are for an Operations Research course and are due by April 30th, 2014. The document includes 5 sample questions and answers as examples of the type of assignments available.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
This document discusses packing problems and how to formulate and solve them as mixed integer linear programs (MILPs) using the Gurobi optimization solver. Packing problems involve fitting objects into containers in the most dense packing possible or using the fewest number of containers. The document provides examples of packing problems and presents an MILP formulation for packing rectangles. It explains why MILPs are suitable for packing problems and how to model the constraints, variables, and objective function. Finally, it outlines the basic steps for solving a packing problem MILP using Gurobi: defining the model struct, modifying parameters, running the optimization, and printing the solution.
This document provides information about getting fully solved assignments from an assignment help service. Students are instructed to send their semester and specialization name to the provided email address or call the given phone number to receive help with their assignments. Mailing is preferred over calling except in emergencies. The document then provides a sample assignment question related to operations research on the topics of linear programming, transportation problem, simulation, integer programming, PERT/CPM, and queuing systems.
This document provides information about getting solved assignments for the MBA Semester 2 Operations Research subject. It includes 6 questions related to operations research concepts like linear programming, transportation problems, assignment problems, and simulation. Students can get assignments solved at Rs. 125 each by emailing or calling the provided contact information. The questions cover topics like the framework of operations research, graphical and algebraic methods for linear programming problems, important terms in transportation problems, the Hungarian method for assignment problems, Monte Carlo simulation, assumptions of game theory, characteristics of Markov chains, and job prioritization rules.
This document discusses statistical cost estimation techniques, including variable costs, fixed costs, and mixed costs. It explains how to use the scattergraph method and regression analysis to derive a total cost equation and estimate mixed costs. Specifically, it discusses using regression to interpret results like the correlation coefficient, coefficient of determination, and t-statistic. It provides an example of using multiple regression with two predictor variables and interpreting those results. Finally, it discusses potential problems that can occur with regression data like curvilinear costs, outliers, spurious relations, and violating assumptions.
This document discusses various methods for determining and estimating cost behavior. It defines different types of costs such as fixed, variable, and mixed costs. It also explains cost functions and how managers can use cost functions to understand how costs change with activity levels. The document outlines some common assumptions made in estimating cost behavior and lists several quantitative and qualitative approaches to cost estimation including the industrial engineering method, conference method, account analysis method, and high-low method.
The document discusses the assignment problem and the Hungarian method for solving it. It provides definitions for key terms like balanced vs unbalanced assignment problems and dummy jobs/persons. It also outlines the mathematical formulation of assignment problems and lists some common application areas. The summary describes the Hungarian method as follows:
1) It is used to solve assignment problems by finding the minimum cost matching between people/objects and tasks.
2) The method works on a cost matrix representing all possible assignments.
3) It uses the principle that the optimal solution does not change if a constant is subtracted from rows/columns with a total cost of zero.
This document discusses replacement models for equipment and machines. It presents three models: 1) where maintenance costs increase over time and money value is constant, 2) where maintenance costs and money value both change over time, and 3) group replacement policy. It provides examples of calculating optimal replacement times using discounted cash flows and accounting for probability of failure in a group. The examples are solved to determine when equipment should be replaced to minimize average annual costs.
This document provides an overview of techniques for formalized sensitivity analysis and expected value decisions. It discusses determining sensitivity to parameter variation, using three estimates to analyze sensitivity, calculating expected values of cash flows and alternatives, and using decision trees to model staged evaluations under uncertainty. The techniques aim to account for variability in parameters, quantify uncertainty through probabilities, and identify best decisions considering risk.
The document defines short-run and long-run costs, and explains the relationships between total, fixed, and variable costs. It also defines average and marginal costs. Specifically, it states that in the short-run, output can be increased or decreased while fixed costs remain unchanged. Total cost equals fixed plus variable cost. Average and marginal cost curves are also discussed, with average cost initially declining and then increasing due to diminishing returns.
Analysis Of Purchasing Cost Savings Potential Using Cobb Douglas Production F...Bill Kohnen
Analysis of Purchasing Cost Savings Potential using Cobb Douglas Production Function. Abstract for Asian Technical Purchasing Conference
Singapore 2012
Author: Bill Kohnen
The document discusses various factors and methods used for facility location analysis. It describes key location factors such as proximity to suppliers, customers, labor, and community considerations. Methods covered include factor rating, load-distance modeling, center of gravity, break-even analysis, and transportation modeling. An example uses the load-distance model to evaluate potential warehouse locations based on distance to stores. The document provides information on different analytical approaches for evaluating and selecting among location alternatives.
The document discusses various concepts related to assignment and transportation problems including:
1) The steps to solve an assignment problem using the Hungarian method.
2) Examples of assignment problems involving personnel assignment and swimmer selection.
3) The formulation of a transportation problem to minimize shipping costs involving plants, cities, supply, and demand.
4) Examples of transportation problems involving flight assignment and power plant shipping costs.
5) How to solve transshipment problems by converting them into transportation problems.
This document contains 5 questions related to operations management for a Bachelor of Science degree program. Question 1 asks about competitiveness from an operations perspective and the four basic types of production processes. Question 2 asks about Quality Function Deployment (QFD) and provides an example. Question 3 provides information to analyze an assembly line process for making party cakes. Question 4 asks about learning curves and their uses and limitations. Question 5 asks about six sigma quality, benefits of just-in-time production, poka-yoke, overall equipment effectiveness, and pull systems.
This document is a module on cost analysis from Mr. Anirban of Christ College Institute of Management in Bangalore. It covers various cost concepts including actual and opportunity costs, fixed and variable costs, as well as cost curves like total, average, and marginal costs. Examples are provided to illustrate break-even analysis and the calculation of costs at different output levels. The module aims to explain traditional cost theory and how costs are measured in managerial economics.
Linear programming is a mathematical technique used to optimize performance under resource constraints. It involves defining an objective function and constraints to determine the optimal values of decision variables. This document provides an example of a company that manufactures two products using lathes and milling machines. The problem is formulated as a linear program to maximize profit by determining the optimal production volumes of each product given constraints on the available machine hours.
1. The document discusses different types of costs including variable costs, fixed costs, indirect costs, and mixed costs. It provides examples of calculating contribution margin and separating fixed and variable components of mixed costs.
2. Fixed costs remain constant regardless of the number of units produced, while variable costs fluctuate depending on the level of production. Mixed costs contain both fixed and variable elements.
3. The document includes examples of graphs that could be used to illustrate fixed costs over time, variable costs that increase with production volume, and scatter plots of mixed cost data. It also discusses outliers and the high-low estimation method.
The document discusses the concept of long-run average costs (LRAC) curves. It explains that in the long-run, all costs are variable as firms can adjust all inputs. The LRAC curve shows the minimum average cost for different output levels when all inputs are adjustable. It relates the LRAC curve to a firm's set of short-run average cost curves, which correspond to different plant sizes. Economies of scale exist when average costs decrease with increasing output, while diseconomies of scale occur when average costs increase with larger output. Naturally monopolies have LRAC curves with economies of scale over the entire market demand range. The shape of the LRAC curve depends on production technology.
The document discusses key concepts related to long-run average cost curves including:
- In the long-run, all factors of production are variable and firms can choose different plant sizes. The long-run average cost curve is U-shaped and envelopes short-run average cost curves.
- The long-run marginal cost curve is derived from the intersection of short-run marginal cost curves and the long-run average cost curve.
- Cost-volume-profit analysis uses the long-run average cost curve to determine the output level needed to break even or achieve a target profit level.
- Economies of scale exist when long-run average costs fall as output increases due to factors like financial, technical
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
This document provides information about getting fully solved assignments. Students should send their semester and specialization name to the provided email address or call the given phone number to receive assignments. The assignments are for an Operations Research course and are due by April 30th, 2014. The document includes 5 sample questions and answers as examples of the type of assignments available.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
This document provides information about getting fully solved assignments from an assignment help service. It lists an email address and phone number to contact for assistance with assignments. It also provides details about the available programs, subjects, semesters, credits, and other assignment details like word count requirements. Students are advised to mail their request with details of their semester and specialization to get solved assignments. Calling is listed as an emergency option.
This document provides information about getting fully solved MBA assignments. It instructs students to send their semester and specialization name to the email address "help.mbaassignments@gmail.com" or call the provided phone number to receive solved assignments. The document then provides an example of an operations management assignment that covers topics like forecasting, production capacities, transportation costs, and equipment replacement models. It includes six questions with detailed answers on these subject areas.
Dear students get fully solved SMU MBA Fall 2014 assignments
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stuffstudy5@gmail.com
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Dear students get fully solved SMU MBA Fall 2014 assignments
Send your semester & Specialization name to our mail id :
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Dear students get fully solved assignments
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Dear students get fully solved assignments
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(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
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This document provides information about obtaining fully solved assignments from an assignment help service. Students are instructed to send their semester, specialization, and contact details to the provided email address or call the phone number to receive help with their assignments. The document includes sample assignments covering topics in quantitative management, with questions regarding linear programming, inventory management, queuing theory, simulation, game theory, and dynamic programming.
Dear students get fully solved assignments
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Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
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Dear students get fully solved assignments
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The document discusses problem solving approaches and techniques in operations research. It defines operations research as using quantitative methods to assist decision-makers in designing, analyzing, and improving systems to make better decisions. The scientific approach involves studying differences between past and present cases while considering new environmental factors. Some quantitative techniques mentioned include break-even point analysis, financial analysis, and decision theory. The document also provides examples of linear programming models and their components.
The document discusses linear programming and its applications. It begins by defining linear programming and its key characteristics like objectives, constraints, and decision variables. It then provides examples of how linear programming is used in various industries like manufacturing, retail, delivery routing, and machine learning to optimize objectives like profit, efficiency, and costs. Specific techniques like graphical method and solving LP problems in tabular form are also summarized.
The document provides information about operations research (OR) including:
(1) OR uses mathematical models and statistics to aid decision-making, typically to optimize performance of complex systems.
(2) The basic OR process involves recognizing a problem, formulating it, constructing a model, finding a solution, defining the process, implementing it, and refining it.
(3) Linear programming applications discussed include marketing, finance, operations management, and blending problems. Graphical and algebraic methods are used to solve transportation problems.
Dear students get fully solved assignments
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Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
How to Setup Default Value for a Field in Odoo 17Celine George
In Odoo, we can set a default value for a field during the creation of a record for a model. We have many methods in odoo for setting a default value to the field.
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapitolTechU
Slides from a Capitol Technology University webinar held June 20, 2024. The webinar featured Dr. Donovan Wright, presenting on the Department of Defense Digital Transformation.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Mba205 winter 2017
1. Dear students get fully solved assignments
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DRIVE
Winter 2017
PROGRAM
MBA
SEMESTER
II
SUBJECT CODE & NAME
MBA205 & OPERATIONS RESEARCH
SET - I
1 Define the Linear programming problem in operation Research. Also, explain various
assumptions, advantages and limitations of linear programming problem.
A Linear programming problem in operation Research
Assumptions of linear programming problem
Advantages of linear programming problem
Limitations of linear programming problem
Answer: In organisations, managers are required to make judicious use of scarce resources,
such as men, materials, machines and capital, to minimise costs and maximise profits. A
technique that is used to select the best alternative from a set of feasible ones in situations
where the
Q2.
a. Discuss the concept of unbalanced transportation problem
b. Find the optimum transportation cost in following table
D1 D2 D3 D4 SUPPLY
S1 3 1 7 4 300
S2 2 6 5 9 400
S3 8 3 3 2 500
DEMAND 250 350 400 200
Unbalanced transportation problem
Optimum allocation.
Optimum transportation cost
Answer:
Unbalanced transportation problem:
When the total supply of all the sources is not equal to the total demand of all destinations,
the problem is an unbalanced transportation problem.
Total
2. 3 a. Elaborate the meaning of Simulation.
b. What are different Practical applications of simulation
A Meaning of Simulation.
Practical applications of simulation
Answer: a) Simulation is a representation of real-life situations. It is a method in which a replica
of a real-world process or system is developed over a period of time. The simulated model acts
in the same
SET-II
1 a. Define the meaning of assignment problem in operation Research.
b. A Departmental head has four subordinates and four task to be performed. The
subordinates differ in efficiency and the tasks differ in their intrinsic difficulty. His
estimate ofthe times each man would take to perform each task is given in the following
matrix-
Tasks Subordinates
I II III IV
A 8 26 17 11
B 13 28 4 26
C 38 19 18 15
D 19 26 24 10
How should the tasks be allocated to subordinates to minimize the total man-hours?
A Description of assignment problem
Optimum allocation through Hungarian method
Answer: a) An assignment problem is a special type of transportation problem. In an
assignment problem, the
2. Define following criteria’s used for decision making under Uncertainty
a. Optimism (maximax or minimin) criterion
b. Pessimism (maximin or minimax) criterion
c. Equal probabilities (Laplace) criterion
d. Coefficient of optimism (Hurwicz) criterion
e. Regret (salvage) criterion
Answer: a) Optimism (maximax or minimin) criterion: Here, the decision maker tries to
achieve the largest possible profit (Maximax) or minimum possible cost (minimin). If the entries
in the payoff matrix are the one which the decision maker wants as large as possible, for
example, profits or sales revenue, he/she selects the alternative that represents the maximum of
the maximum payoff. In
3 a. Explain the importance and utility of the replacement model in business
organizations.
b. Themaintenancecost and re-salevalueper year of a machine whose purchase price is
Rs. 7000 is given below-
Year 1 2 3 4 5 6 7 8
Maintenancecost(Rs.) 900 1200 1600 2100 2800 3700 4700 5900
Resale value (Rs.) 4000 2000 1200 600 500 400 400 400
Importance and utility of the replacement model Replacement Year
3. Answer: a) In an organisation, replacement problems arise when fixed assets, such as machines,
equipment, and other tools, need to be replaced due to reduced efficiency, failure or breakdown.
Sometimes, replacement takes place when more efficient equipment is available in the market
or the maintenance of the existing equipment is incurring a huge cost on an organisation.
However, an
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
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or
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