The document discusses replacement theory, which determines the optimal time to replace equipment or machines that deteriorate over time. It increases maintenance costs as equipment ages. The document provides examples of industries that use replacement theory and outlines the methodology. It presents a sample replacement problem looking at the purchase price, annual running costs, and resale values to determine the year when replacement is most economical based on minimum average total cost. The optimal replacement period is calculated based on rules comparing maintenance costs to average costs or scrap value.
This document discusses replacement theory and models for determining optimal replacement times for equipment and components. It covers different types of failure mechanisms including gradual, sudden, progressive, and retrogressive failure. Key factors in replacement decisions are purchase costs, salvage values, maintenance costs, and operating costs. Optimal replacement minimizes total average costs over the lifetime of the item. Group replacement policies can be more cost effective than individual policies for items that fail suddenly by replacing items in a group before failures occur.
The efficiency of all industrial and military equipment's deteriorates with time. Sometimes the equipment fails completely and effects the whole system. The maintenance costs (running costs) of an equipment also go on increasing with time. Thus it becomes more economical to replace the old equipment with a new one. Hence there is a need to formulae a most economical replacement policy which is in the best interest of the system.
The document discusses replacement theory in operations research. It describes individual and group replacement policies. For individual replacement, it provides an example of determining when to replace a machine based on comparing average total costs between years. For group replacement, it gives an example of determining the optimal time interval to replace all light bulbs based on failure rates and comparing total replacement costs. The optimal time was found to be every 3 weeks for the light bulbs.
The document discusses the principles of management. It defines principles as fundamental guidelines for management decision making derived from experience. It outlines several nature and characteristics of principles, including their universal applicability, flexibility, and contingency on situations. The significance of principles is that they provide insights for managers, optimize resource use, lead to scientific decisions, help adapt to changes, and fulfill social responsibility. Several classic principles are explained, including Fayol's and scientific management principles. Scientific management principles emphasize finding the best way to perform jobs scientifically rather than relying on rules of thumb.
This document provides an overview of queuing theory, which is used to model waiting lines. It discusses key concepts like arrival processes, service systems, queuing models and their characteristics. Some examples where queuing theory is applied include telecommunications, traffic control, and manufacturing layout. Common elements of queuing systems are customers, servers and queues. The document also presents examples of single and multiple channel queuing models.
The document discusses replacement theory, which determines the optimal time to replace equipment or machines that deteriorate over time. It increases maintenance costs as equipment ages. The document provides examples of industries that use replacement theory and outlines the methodology. It presents a sample replacement problem looking at the purchase price, annual running costs, and resale values to determine the year when replacement is most economical based on minimum average total cost. The optimal replacement period is calculated based on rules comparing maintenance costs to average costs or scrap value.
This document discusses replacement theory and models for determining optimal replacement times for equipment and components. It covers different types of failure mechanisms including gradual, sudden, progressive, and retrogressive failure. Key factors in replacement decisions are purchase costs, salvage values, maintenance costs, and operating costs. Optimal replacement minimizes total average costs over the lifetime of the item. Group replacement policies can be more cost effective than individual policies for items that fail suddenly by replacing items in a group before failures occur.
The efficiency of all industrial and military equipment's deteriorates with time. Sometimes the equipment fails completely and effects the whole system. The maintenance costs (running costs) of an equipment also go on increasing with time. Thus it becomes more economical to replace the old equipment with a new one. Hence there is a need to formulae a most economical replacement policy which is in the best interest of the system.
The document discusses replacement theory in operations research. It describes individual and group replacement policies. For individual replacement, it provides an example of determining when to replace a machine based on comparing average total costs between years. For group replacement, it gives an example of determining the optimal time interval to replace all light bulbs based on failure rates and comparing total replacement costs. The optimal time was found to be every 3 weeks for the light bulbs.
The document discusses the principles of management. It defines principles as fundamental guidelines for management decision making derived from experience. It outlines several nature and characteristics of principles, including their universal applicability, flexibility, and contingency on situations. The significance of principles is that they provide insights for managers, optimize resource use, lead to scientific decisions, help adapt to changes, and fulfill social responsibility. Several classic principles are explained, including Fayol's and scientific management principles. Scientific management principles emphasize finding the best way to perform jobs scientifically rather than relying on rules of thumb.
This document provides an overview of queuing theory, which is used to model waiting lines. It discusses key concepts like arrival processes, service systems, queuing models and their characteristics. Some examples where queuing theory is applied include telecommunications, traffic control, and manufacturing layout. Common elements of queuing systems are customers, servers and queues. The document also presents examples of single and multiple channel queuing models.
This document provides an introduction to queuing theory. It discusses how queues form due to an imbalance between customer arrivals and service capabilities. Common examples where queues occur include buses, movie theaters, and service stations. Key terms are defined, such as customers, service stations, waiting time, and queue length. The elements that make up a queuing system are described as the arrival pattern of customers, the service mechanism, the queue discipline for selecting the next customer, and the output of the queue. First-come, first-served is provided as a common queue discipline.
This is a special type of LPP in which the objective function is to find the optimum allocation of a number of tasks (jobs) to an equal number of facilities (persons). Here we make the assumption that each person can perform each job but with varying degree of efficiency. For example, a departmental head may have 4 persons available for assignment and 4 jobs to fill. Then his interest is to find the best assignment which will be in the best interest of the department.
The document discusses the transportation problem in operations research and linear programming. It can be summarized as:
1) The transportation problem aims to transport goods from multiple origins to multiple destinations in a way that minimizes total transportation costs, given supply and demand constraints.
2) It can be formulated as a linear programming problem to find the optimal amounts transported between each origin-destination pair to minimize costs.
3) Solution methods like the Northwest Corner Rule and Vogel's Approximation Method are presented to find initial basic feasible solutions for the transportation problem.
The document discusses various strategies for scheduling operations in service industries. It describes three types of service operations: quasi-manufacturing, customer-as-participant, and customer-as-product. For quasi-manufacturing operations, the primary concern is having enough resources to meet hourly customer demand. Customer-as-participant services require accommodating customers and cooperation between operations and marketing. Customer-as-product services are performed directly on customers, often using a first-in, first-out approach. The document also outlines strategies for scheduling service operations, such as chasing demand, earliest deadline first, and rate-monotonic scheduling.
The price of the firm's output is not a determinant of the firm's cost functions. The cost functions are determined by factors of production like labor, capital, technology etc. and not by the price that the firm can charge for its output.
This document discusses transportation techniques and methods for solving transportation problems. It defines a transportation problem as aiming to find the best way to fulfill demand at multiple destinations using supply from multiple origins. It outlines the key components of a transportation model including origins, capacities, destinations, demands, and shipping costs. Three common solution methods are described - the minimum cost method, northwest corner method, and Vogel's approximation method - along with examples of each step. The document also lists some applications of transportation models like scheduling airlines and identifying facility locations.
The transportation model is a linear programming model that aims to minimize transportation costs by determining the optimal way to transport goods from multiple origins to multiple destinations. It is subject to supply and demand constraints. Common applications include minimizing shipping costs between factories and warehouses. The optimal solution is found using methods like the northwest corner rule or Vogel's approximation method to get an initial feasible solution, then checking for optimality using the stepping stone method or modified distribution method.
The document discusses cost concepts and their application. It defines different types of costs such as fixed costs, variable costs, opportunity costs, sunk costs, explicit costs, and implicit costs. It also discusses total cost, which is the sum of fixed and variable costs. The total cost equation and linear cost equation are presented. Examples are provided to illustrate calculating total production costs, break-even points, and profits using the total cost equation. Location selection for facilities is also discussed, with factors like proximity to markets and suppliers, labor availability, and costs being considered in a break-even analysis.
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.
1) The document discusses the Hungarian method for solving assignment problems. It involves minimizing the total cost or maximizing the total profit of assigning resources like employees or machines to activities like jobs.
2) The method includes steps like developing a cost matrix, finding the opportunity cost table, making assignments to zeros in the table, and revising the table until an optimal solution is reached.
3) There are examples showing the application of these steps to problems with unique and multiple optimal solutions, as well as an unbalanced problem with more resources than activities.
Presentation on CVP Analysis, Break Even Point & Applications of Marginal Cos...Leena Kakkar
CVP analysis helps managers understand the relationship between cost, volume, and profit by examining how price, volume, variable costs, fixed costs, and product mix interact. It is used to determine what products to make/sell, pricing policies, marketing strategies, and facility investments. The break-even point is where total costs and revenues are equal, and no profit or loss has occurred. Marginal costing is used to set optimal prices, evaluate price reductions, choose product mixes, calculate safety margins, and set different prices for different customers.
This document discusses key concepts in queuing theory. It defines queuing theory as applying to situations where arrival and service rates are unpredictable. Queuing theory aims to determine the optimal level of service that minimizes the costs of offering service and customer wait times. The document outlines components of a queuing system including the calling population, queuing process, queue discipline, and service process. It provides examples of different queue disciplines and discusses concepts like arrival patterns, inter-arrival times, finite vs infinite sources, and balking.
Replacement theory deals with replacing assets that deteriorate over time in order to minimize costs and maximize efficiency. It involves determining the optimal time to replace an item based on factors like maintenance costs, repair costs, and residual value. The goal is to balance the costs of maintaining an item against replacing it to maximize its value. There are different replacement models like time-based, condition-based, and opportunity-based models.
1. The document discusses various cost concepts including opportunity cost, outlay cost, total cost, average cost, marginal cost, fixed cost, and variable cost. It explains these concepts for both the short run and long run.
2. In the short run, total cost is the sum of total fixed cost and total variable cost. Average cost and marginal cost are calculated based on changes in total cost and output.
3. In the long run, all inputs are variable and firms can change the size of their plant and operations. Long run average cost is determined by the minimum points of a series of short run average cost curves.
this ppt is helpful for BBA/B.tech//MBA/M.tech students.
the ppt is on simulation topic...its covers -
Meaning
Advantages & Disadvantages
Uses
Process
Monte Carlo SImulation
Advantages & Disadvantages
Its example
Meaning of Cost Analysis
Basic Cost Concept
Basic concept of financial Accounting/ Accounting Rules-Problems
Depreciation
Methods of Depreciation -Problems
Break Even Analysis
Marginal Uses of BEA
The transportation problem is a special type of linear programming problem where the objective is to minimize the cost of distributing a product from a number of sources or origins to a number of destinations.
Because of its special structure, the usual simplex method is not suitable for solving transportation problems. These problems require a special method of solution.
Industrial Engineering is concerned with designing integrated systems involving people, materials, equipment and energy. Some significant events in its development include the division of labor, standardized parts, scientific management, the assembly line, and quality control methods. Productivity is a measure of output over input, with higher productivity indicating more output is generated from the same level of inputs. Factors like technology, capacity utilization, and training can affect productivity levels in an organization.
This document presents information about the transportation problem and the North West Corner Method for solving it. It includes an introduction to transportation problems, definitions of key concepts, examples of applications, and steps for solving balanced and unbalanced problems using the North West Corner Method. It also provides an example problem from a medical supply company shipping catheters from production facilities to warehouses.
This document discusses replacement theory and models for determining optimal replacement policies. It introduces replacement theory and explains that items must be replaced when they become obsolete, unusable due to failure, or inefficient due to deterioration over time. It presents four models of replacement: (1) aging of machines that deteriorate over time, (2) availability of new machines that are better, (3) considering the time value of money in depreciation calculations, and (4) group replacements of items that completely fail after a certain usage amount. An example of replacing light bulbs individually or through group replacement is also provided.
This document discusses replacement theory and models for determining when to replace products or services. It examines factors like maintenance costs increasing over time, probabilities of failure, and costs of failure or disruption. Common replacement scenarios explored include replacing when maintenance costs exceed replacement costs, replacing after a set number of failures, or periodically over time. The general approach is to analyze failure and performance patterns over time and assess costs and probabilities to determine the optimal replacement strategy.
This document provides an introduction to queuing theory. It discusses how queues form due to an imbalance between customer arrivals and service capabilities. Common examples where queues occur include buses, movie theaters, and service stations. Key terms are defined, such as customers, service stations, waiting time, and queue length. The elements that make up a queuing system are described as the arrival pattern of customers, the service mechanism, the queue discipline for selecting the next customer, and the output of the queue. First-come, first-served is provided as a common queue discipline.
This is a special type of LPP in which the objective function is to find the optimum allocation of a number of tasks (jobs) to an equal number of facilities (persons). Here we make the assumption that each person can perform each job but with varying degree of efficiency. For example, a departmental head may have 4 persons available for assignment and 4 jobs to fill. Then his interest is to find the best assignment which will be in the best interest of the department.
The document discusses the transportation problem in operations research and linear programming. It can be summarized as:
1) The transportation problem aims to transport goods from multiple origins to multiple destinations in a way that minimizes total transportation costs, given supply and demand constraints.
2) It can be formulated as a linear programming problem to find the optimal amounts transported between each origin-destination pair to minimize costs.
3) Solution methods like the Northwest Corner Rule and Vogel's Approximation Method are presented to find initial basic feasible solutions for the transportation problem.
The document discusses various strategies for scheduling operations in service industries. It describes three types of service operations: quasi-manufacturing, customer-as-participant, and customer-as-product. For quasi-manufacturing operations, the primary concern is having enough resources to meet hourly customer demand. Customer-as-participant services require accommodating customers and cooperation between operations and marketing. Customer-as-product services are performed directly on customers, often using a first-in, first-out approach. The document also outlines strategies for scheduling service operations, such as chasing demand, earliest deadline first, and rate-monotonic scheduling.
The price of the firm's output is not a determinant of the firm's cost functions. The cost functions are determined by factors of production like labor, capital, technology etc. and not by the price that the firm can charge for its output.
This document discusses transportation techniques and methods for solving transportation problems. It defines a transportation problem as aiming to find the best way to fulfill demand at multiple destinations using supply from multiple origins. It outlines the key components of a transportation model including origins, capacities, destinations, demands, and shipping costs. Three common solution methods are described - the minimum cost method, northwest corner method, and Vogel's approximation method - along with examples of each step. The document also lists some applications of transportation models like scheduling airlines and identifying facility locations.
The transportation model is a linear programming model that aims to minimize transportation costs by determining the optimal way to transport goods from multiple origins to multiple destinations. It is subject to supply and demand constraints. Common applications include minimizing shipping costs between factories and warehouses. The optimal solution is found using methods like the northwest corner rule or Vogel's approximation method to get an initial feasible solution, then checking for optimality using the stepping stone method or modified distribution method.
The document discusses cost concepts and their application. It defines different types of costs such as fixed costs, variable costs, opportunity costs, sunk costs, explicit costs, and implicit costs. It also discusses total cost, which is the sum of fixed and variable costs. The total cost equation and linear cost equation are presented. Examples are provided to illustrate calculating total production costs, break-even points, and profits using the total cost equation. Location selection for facilities is also discussed, with factors like proximity to markets and suppliers, labor availability, and costs being considered in a break-even analysis.
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.
1) The document discusses the Hungarian method for solving assignment problems. It involves minimizing the total cost or maximizing the total profit of assigning resources like employees or machines to activities like jobs.
2) The method includes steps like developing a cost matrix, finding the opportunity cost table, making assignments to zeros in the table, and revising the table until an optimal solution is reached.
3) There are examples showing the application of these steps to problems with unique and multiple optimal solutions, as well as an unbalanced problem with more resources than activities.
Presentation on CVP Analysis, Break Even Point & Applications of Marginal Cos...Leena Kakkar
CVP analysis helps managers understand the relationship between cost, volume, and profit by examining how price, volume, variable costs, fixed costs, and product mix interact. It is used to determine what products to make/sell, pricing policies, marketing strategies, and facility investments. The break-even point is where total costs and revenues are equal, and no profit or loss has occurred. Marginal costing is used to set optimal prices, evaluate price reductions, choose product mixes, calculate safety margins, and set different prices for different customers.
This document discusses key concepts in queuing theory. It defines queuing theory as applying to situations where arrival and service rates are unpredictable. Queuing theory aims to determine the optimal level of service that minimizes the costs of offering service and customer wait times. The document outlines components of a queuing system including the calling population, queuing process, queue discipline, and service process. It provides examples of different queue disciplines and discusses concepts like arrival patterns, inter-arrival times, finite vs infinite sources, and balking.
Replacement theory deals with replacing assets that deteriorate over time in order to minimize costs and maximize efficiency. It involves determining the optimal time to replace an item based on factors like maintenance costs, repair costs, and residual value. The goal is to balance the costs of maintaining an item against replacing it to maximize its value. There are different replacement models like time-based, condition-based, and opportunity-based models.
1. The document discusses various cost concepts including opportunity cost, outlay cost, total cost, average cost, marginal cost, fixed cost, and variable cost. It explains these concepts for both the short run and long run.
2. In the short run, total cost is the sum of total fixed cost and total variable cost. Average cost and marginal cost are calculated based on changes in total cost and output.
3. In the long run, all inputs are variable and firms can change the size of their plant and operations. Long run average cost is determined by the minimum points of a series of short run average cost curves.
this ppt is helpful for BBA/B.tech//MBA/M.tech students.
the ppt is on simulation topic...its covers -
Meaning
Advantages & Disadvantages
Uses
Process
Monte Carlo SImulation
Advantages & Disadvantages
Its example
Meaning of Cost Analysis
Basic Cost Concept
Basic concept of financial Accounting/ Accounting Rules-Problems
Depreciation
Methods of Depreciation -Problems
Break Even Analysis
Marginal Uses of BEA
The transportation problem is a special type of linear programming problem where the objective is to minimize the cost of distributing a product from a number of sources or origins to a number of destinations.
Because of its special structure, the usual simplex method is not suitable for solving transportation problems. These problems require a special method of solution.
Industrial Engineering is concerned with designing integrated systems involving people, materials, equipment and energy. Some significant events in its development include the division of labor, standardized parts, scientific management, the assembly line, and quality control methods. Productivity is a measure of output over input, with higher productivity indicating more output is generated from the same level of inputs. Factors like technology, capacity utilization, and training can affect productivity levels in an organization.
This document presents information about the transportation problem and the North West Corner Method for solving it. It includes an introduction to transportation problems, definitions of key concepts, examples of applications, and steps for solving balanced and unbalanced problems using the North West Corner Method. It also provides an example problem from a medical supply company shipping catheters from production facilities to warehouses.
This document discusses replacement theory and models for determining optimal replacement policies. It introduces replacement theory and explains that items must be replaced when they become obsolete, unusable due to failure, or inefficient due to deterioration over time. It presents four models of replacement: (1) aging of machines that deteriorate over time, (2) availability of new machines that are better, (3) considering the time value of money in depreciation calculations, and (4) group replacements of items that completely fail after a certain usage amount. An example of replacing light bulbs individually or through group replacement is also provided.
This document discusses replacement theory and models for determining when to replace products or services. It examines factors like maintenance costs increasing over time, probabilities of failure, and costs of failure or disruption. Common replacement scenarios explored include replacing when maintenance costs exceed replacement costs, replacing after a set number of failures, or periodically over time. The general approach is to analyze failure and performance patterns over time and assess costs and probabilities to determine the optimal replacement strategy.
Replacement theory MBA PRODUCTION MANAGEMENT Babasab Patil
The document discusses replacement theory and models for determining the optimal time to replace equipment. It describes two types of equipment failure: gradual and sudden. Gradual failure leads to increased costs and decreased productivity over time. The models provided calculate the average total cost per year to determine the year when replacement yields the lowest costs. Discounted cash flows are considered for items with changing money value over time. The example provided compares two machines and determines that Machine A should be purchased as it has a lower total present worth cost over 6 years.
Replacement Problem - Dr. Bhupender SOM - JIMS Rohini Faculty PresentationJIMS Rohini Sector 5
JIMS Rohini News, PGDM Admissions, PGDM -IB, PGDM-RM.
The efficiency of all industrial and military equipments deteriorates with time. Sometimes the equipment fails completely and effects the whole system. The maintenance costs (running costs) of an equipment also go on increasing with time. Thus it becomes more economical to replace the old equipment with a new one. Hence there is a need to formulae a most economical replacement policy which is in the best interest of the system.
This document discusses replacement theory and provides examples of its application. It addresses three types of replacement situations: 1) Items that deteriorate over time through use, like vehicles, increasing maintenance costs, 2) Items that fail suddenly without warning, like light bulbs, and 3) Replacement of staff in an organization due to retirement, death, or other reasons. The key aspects of replacement theory are determining the optimal time to replace an item or staff to balance increasing costs from deterioration or failure with the costs of replacement.
The document discusses replacement theory and replacement models. It provides definitions and examples of different replacement models including: 1) Models where efficiency decreases with age and maintenance costs increase over time, 2) Models for items that fail suddenly, and 3) Models that consider replacement of human capital. Examples are provided to illustrate calculating optimal replacement times by comparing total costs. Key factors in replacement decisions include initial costs, maintenance costs over time, salvage values, and interest rates.
This document provides an overview of operational research. It defines operational research as applying scientific methods to optimize systems. The key approaches include orientation, problem definition, data collection, model formulation, model solution, validation, and implementation. Common techniques are linear programming, dynamic programming, queueing theory, inventory control, decision theory, network analysis, and simulation. These have been used across industries, defense, planning, agriculture, and public utilities. Overall, operational research is a tool that can improve productivity by optimizing systems through scientific problem solving.
Replacement theory is used to decide when to replace used equipment with new, improved equipment. It considers factors like equipment deterioration over time, failures, technological advancements, and increased demand. There are several replacement models that take different factors into account, such as how equipment ages and becomes outdated, the availability of newer machines with better usage, the depreciation of equipment value over time, and replacing groups of items that fail completely after use. Replacement theory helps determine the optimal time to replace equipment to minimize costs and maximize benefits.
The document describes three problems involving determining the optimal sequence of jobs through multiple machines to minimize the total elapsed time.
For the first problem involving two machines, the optimal sequence is job 2, 1, 6, 5, 4, 3 with a total elapsed time of 85 hours.
The second problem involving three machines is converted to two virtual machines, and the optimal sequence is job 3, 4, 2, 1, 5 with a total elapsed time of 51 hours.
The third problem involving four machines is also converted to two virtual machines, and the optimal sequence is job C, A, B, D with a total elapsed time of 82 hours.
The document presents a project on replacing the computer systems at ACCMAN INSTITUTE OF MANAGEMENT. It provides background on the institute, established in 2003. The objective is to analyze the condition of the existing 60 computer systems, purchased in 2006, and replace them if needed due to age or increased maintenance costs. Data is collected on maintenance costs from 2006-2011 and calculations show average costs are lowest in 2010-2011, so replacement after 5 years is recommended. Using a new higher-spec configuration could allow increasing the replacement period with lower maintenance costs. In conclusion, replacement theory proves an effective management tool for minimizing costs as machines deteriorate over time.
Rajesh Timane successfully completed the Coursera course "Geodesign: Change Your World" from Pennsylvania State University with distinction in September 2014. The course exposed participants to the key concepts of geodesign, which is a design approach that uses techniques from multiple fields to determine optimal solutions for complex land use challenges. The course was directed by Professor Kelleann Foster of Penn State.
Time Machines: The Evolution and Application of Predictive Analytics-Dr Steve...IT Network marcus evans
Dr Steven P. Pratt, PhD., Chief Technology Officer, CenterPoint Energy, Inc. delivered his presentation entitled Time Machines: The Evolution and Application of Predictive Analytics at the marcus evans CIO Summit 2016 held in Los Angeles, CA
3C L Apport De La ThéOrie Des Jeux à L Intelligence Te Rritoriale Illustra...Territorial Intelligence
This document discusses using game theory to analyze territorial planning issues. It presents a case study that used game theory to illuminate the transfer of Nantes Atlantique airport. It describes developing three games to model different interactions between players: an airport/airlines game, a regional airport game, and a "Community Game" between Nantes and Rennes. The Community Game modeled cooperation scenarios between the two communities. Experimental play of the Community Game provided results to help guide decision-making around airport cooperation. The document concludes that game theory and reflexive modeling can benefit territorial intelligence by clarifying player preferences and enabling simulations of actor interactions.
The document describes the modified distribution method (MODI) for solving transportation problems. MODI is an improvement on the stepping stone method. It involves starting with an initial basic feasible solution, calculating opportunity costs, and finding a negative opportunity cost to enter a new cell into the solution. A closed path is drawn around this cell and units are added/subtracted along the path to create a new basic feasible solution. This process repeats until all opportunity costs are non-negative, indicating an optimal solution. An example demonstrates applying MODI to find the optimal solution that minimizes transportation costs.
The document is a report on a detailed study of the pellet plant at JSPL Limited in Barbil, Odisha. It was submitted by Mr. Abinash Sahu to Mr. D. Palanisamiy after a summer training. The report provides an overview of the pelletization process and details of the key components of the pellet plant including the raw material handling system, dryer, ball mill, mixer, balling disc, indurating machine, and final product handling. It describes the layout, process flow, specifications and functioning of each component in the pelletization process.
The document provides an overview of Jindal Steel and Power Limited (JSPL), describing its founding by O.P. Jindal in 1969, current leadership under Naveen Jindal, and operations which include steel, power, mining, infrastructure and other industries. It discusses JSPL's expansion internationally and plans to invest over $30 billion globally. The company aims to become a leading Indian business group through sustainable growth and contributing to national development.
This document summarizes key concepts in inventory management. It discusses types of inventories like raw materials, work in progress, and finished goods. It also covers functions of inventory like meeting demand and smoothing production. The objective of inventory control is to balance customer service and inventory costs. Effective inventory management requires forecasting demand, lead times, and cost estimates for holding, ordering, and shortages. Economic order quantity and production quantity models aim to minimize total costs.
JIMS Rohini News - Jagan Institute of Management Studies, Rohini, Delhi is organizing International Conference (ICAMP 2017 ) “Confronting the VUCA World: Strategies for Growth and Excellence” on Saturday, February 11, 2017 at JIMS Rohini
The conference covers various themes in Marketing, Finance, Human Resources and Operations and is expected to be attended by participants from India and abroad including consultants, academicians, professionals and research scholars.
We are enclosing herewith the conference brochure for your ready reference.
We invite you to submit original unpublished research papers or case studies for the conference as per the tracks mentioned in the brochure which are indicative and not exhaustive. Authors may also submit papers on other relevant and contemporary topics.
https://www.jimsindia.org/icamp2017/
Comparative study of the financial analysis of Tata steel and Jindal Steelarchit aggarwal
This document provides an overview of the steel industry in India. It discusses that India is the 4th largest producer of crude steel globally. It then outlines the major players in the public and private sector of the Indian steel industry such as SAIL, Tata Steel, and JSW Steel. The document also summarizes recent major investments and developments in the industry as well as various initiatives taken by the Indian government to support the steel sector. It concludes by stating that the steel industry in India is anticipated to see investments of Rs. 2 trillion in the coming years based on increasing domestic demand.
HP faced problems with high costs and complexity from managing a large and diverse product portfolio. [1] They used operations research techniques to analyze cost structures and drivers throughout products' lifecycles. [2] This allowed them to use ROI calculations to screen new product proposals and identify $11 million in savings by eliminating 3300 underperforming products. [3] The changes reduced order cycle times, improved profits by $500 million over three years, and increased customer satisfaction by bringing more structure and data-driven decision making to portfolio management.
This document discusses replacement problems and provides examples to determine the optimal replacement time for equipment that deteriorates over time. It examines cases where time is continuous and discrete. The optimal time is when the average total cost per year is minimized. Examples are provided to demonstrate calculating the average cost per year for different machines and determining the year when it is most economical to replace them based on when the average cost begins to increase.
Lecture 5 - Replacement Problem for industrial equipmentsSasiK25
This document discusses replacement problems related to capital equipment that deteriorates over time, such as machines. It addresses determining the optimal time to replace equipment by minimizing total costs, which include the initial equipment cost, maintenance costs that increase over time, and salvage value. The document presents the replacement problem when time is continuous versus discrete and provides examples of calculating total costs and average costs per year for different equipment to determine the lowest-cost replacement age. The optimal policy is to replace equipment when the average total cost to date exceeds the current year's maintenance cost.
This document discusses replacement theory, which aims to determine the optimal time to replace equipment before maintenance costs become too high. It deteriorates over time, lowering efficiency and raising costs. Replacement policy formulation decides when replacing old equipment with new becomes more economical. Factors include gradual/sudden failure, availability of improved designs, and maintenance versus depreciation costs. The document provides an example calculating the optimum replacement year based on purchase price, annual running costs, and resale values. It outlines the notations and rules used - replacing when maintenance exceeds average costs if no resale value is given, or when average total costs to date are minimum if all costs are provided.
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 discusses replacement theory and models for replacing equipment. It presents two types of equipment failure: gradual failure and sudden failure. It then describes six replacement models: 1) constant-interval replacement policy, 2) age-based replacement policy, 3) time-based replacement policy, 4) inspection replacement policy, 5) modified-age replacement policy, and 6) block replacement policy. It also provides examples of Model 1, which considers running costs that increase over time when the value of money is constant, and Model 2, which accounts for both increasing running costs and a changing value of money over time. The examples calculate the discounted costs of options to determine the most cost-effective replacement time or equipment.
This document discusses replacement analysis and economic service life. It defines key replacement terminology and outlines two approaches - the cash flow approach and opportunity cost approach. It explains how to determine the economic service life by minimizing the total annual equivalent cost. When the required service period is long, the strategies for replacement analysis under an infinite planning horizon are discussed. An example problem compares retaining an old machine versus buying a new one, calculating the economic life for each and determining the optimal replacement time.
This document discusses equipment replacement and maintenance analysis. It provides information on:
- Monitoring equipment for efficient functioning and to prevent poor product quality. Maintenance costs increase over time.
- Companies must decide whether to replace old equipment by considering maintenance and operation costs versus retaining equipment.
- Reasons for replacement include physical damage, obsolescence, and inability to meet demand. Preventative maintenance is planned to not disrupt operations while breakdown maintenance repairs equipment after failures.
- The economic life of equipment is determined by comparing maintenance costs to salvage value over years of use. Replacement is considered when annual costs exceed value from continued use.
The document discusses models for determining the optimal replacement time for construction equipment based on minimizing total cost. It presents an infinite horizon model that estimates total costs on a present value basis for an existing piece of equipment and its future replacements. The model considers costs like initial investment, operation & maintenance, resale value, repairs, and downtime. A case study applies the model to optimization of replacement for a Poclain excavator. Input data on costs over the excavator's life are analyzed. The model is used to determine the replacement age and new equipment life that minimize total present costs.
The document discusses different cost theories including money cost, real cost, opportunity cost, fixed costs, variable costs, total costs, marginal costs, average costs, and break-even analysis. It defines these terms and concepts and provides examples to illustrate cost-output relationships. The key points are that there are three types of costs - money, real, and opportunity costs. Total cost is the sum of fixed and variable costs, and break-even point is the level of output where total revenue equals total costs.
Operating costing is used to calculate the costs of services that do not produce tangible products but rather provide services. It involves accumulating costs and allocating them to appropriate cost units like passenger-km, room-night, or test performed. The document provides examples of industries that use operating costing like transportation, hotels, hospitals, and utilities. It also explains key concepts like classification of costs into fixed, variable, and semi-variable categories and selection of appropriate cost units. Transport costing and examples of cost sheets for different service industries like power plants and cinemas are discussed in detail.
This document discusses replacement and maintenance analysis, including determining the economic life of assets. It provides examples of calculating the economic life of equipment using total cost when interest is 0% and 12%. It also discusses replacement of existing assets, types of maintenance, and a simple probabilistic model for items that fail completely. Optimal replacement policies are determined by comparing individual and group replacement costs. The document also covers several methods of depreciation, including straight-line depreciation calculation examples.
The document discusses replacement analysis and economic service life. It provides terminology for replacement decisions, including sunk costs and trade-in allowance. It presents examples comparing the cash flow and opportunity cost approaches to replacement analysis using net present worth calculations. The economic service life is defined as the useful life that results in the minimum equivalent annual cost. An example calculation is shown to determine the economic service life of an asset is 3 years based on minimizing the equivalent uniform annual cost.
The document discusses slides depicting perfect competition and a firm operating in a perfectly competitive market. It summarizes that as demand decreases in slides 6-9, the market price falls below the firm's average total cost, decreasing total revenue and causing the firm to operate at a loss by covering variable costs and some fixed costs. A further demand decrease in slides 10-13 drives price below average variable cost, resulting in greater losses. The firm will then shut down to minimize losses, though it remains obligated to fixed costs. Slides 14-30 include cost curves based on a production table.
The document provides information on various costing methods including:
1) Marginal costing which involves charging variable costs to cost units and writing off fixed costs against aggregate contribution. Key marginal costing formulas are outlined.
2) Absorption costing which involves allocating both fixed and variable production costs to inventory and cost of goods sold. An example absorption cost statement is presented.
3) Job costing which tracks costs to individual jobs/orders. Objectives and a sample job cost sheet are described.
4) Batch costing which determines unit cost for batches of homogeneous products.
5) Service/operating costing which ascertains costs of services using appropriate cost units like passenger-
The document discusses various capital budgeting techniques including:
- Present worth method for revenue and cost dominated cash flows
- Future worth method for revenue and cost dominated cash flows
- Annual equivalent method for revenue and cost dominated cash flows
- Rate of return method and its applications
Examples are provided to illustrate how to use each method to evaluate investment alternatives and select the best option. The rate of return method is discussed as a useful technique to compare investment performance and maximize returns.
A feasibility study assesses all aspects of a proposed project, including marketing, technical, and financial factors, prior to execution. It includes an executive summary highlighting key results, and reports on marketing, production processes, equipment, costs, investment needs, funding sources, and financial projections. A sensitivity analysis models the impact of varying income and expenses, while a SWOT analysis considers strengths, weaknesses, opportunities, and threats. The study aims to objectively evaluate project viability and provide decision-makers with essential information.
Project feasibilty report on Pricision Auto pistons aniket kulkarniANIKET KULKARNI
It Is the project feasibility report of Precision auto pistons. so in that report it is given that what needs to be done in order to open a auto mobile manufacturing company. how these analysis is to be done.
This document provides an overview of annual worth analysis, which is an approach for comparing investment alternatives that have different lifetimes under life-cycle cost assumptions. It defines key terms like capital recovery, annual worth, salvage value, and annual amount. It presents examples of how to calculate the annual worth of various alternatives and choose the one with the highest annual worth value. The document also discusses how to evaluate permanent investments that have an infinite lifetime by calculating their perpetual equivalent annual worth. Overall, the summary provides the essential details on how to use annual worth analysis to evaluate capital investment options.
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.
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 Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
2. Meaning
Equipments and machines used in industries and in
military deteriorate with time, as a result of which their
efficiency decreases and in turn increases their
maintenance cost.
Hence, there arises a need to formulate a
replacement policy which would enable us in deciding
the age at which the replacement of the old equipment
by new one is most economical than continuation of
old equipment at an increased maintenance cost.
3. Need for Replacement Theory
The item that has become inefficient with
passage of Time.
The item requires more cost for its
maintenance as age increases.
The item doesn't deteriorate with time but
suddenly fails.
A better/ more efficient design of machine/
equipment has become available in the
market.
4. Notations used
C/P – (Capital) Cost of Equipment.
S – Scrap (or Resale) Value.
Ci – Running (or Maintenance) Cost.
Σci – Cumulative Running Cost.
(C-S) – Depreciation.
T(n) – Total Cost.
A(n) – Average Total Cost
5. Example
A transport company purchased a motor vehicle for
rupees 80000/-.
The resale value of the vehicle keeps on decreasing
from Rs 70000/- in the first year to Rs 5000/- in the
eighth year while, the running cost in maintaining the
vehicle keeps on increasing with Rs. 3000/- in the first
year till it goes to Rs. 20000/- in the eighth year as
shown in the below table. Determine the optimum
replacement policy?
6. Example
Year 1 2 3 4 5 6 7 8
Scrap
value
70000 61000 55000 49000 32000 20000 10000 500
0
Runni
ng
cost
3000 3600 4800 5000 8000 11200 15000 200
00