1) The document discusses quantitative analysis and decision making techniques. It provides examples of using mathematical models to solve problems with objectives, constraints, and decision variables.
2) Specific quantitative methods are explained including modeling cost, revenue, and profit. The river crossing problem is presented as an illustration of defining feasible alternatives and optimal solutions.
3) Creating accurate models is important for obtaining optimal solutions. A model's solution is truly optimal only if the model well represents the real problem situation. Sub-optimal solutions may result if a model is incomplete or inaccurate.
Operation research history and overview application limitationBalaji P
This document provides an overview of operation research (OR). It discusses OR topics like quantitative approaches to decision making, the history and definition of OR, common OR models like linear programming and network flow programming, and applications of OR. It also explains problem solving, decision making, and quantitative analysis approaches. OR aims to apply analytical methods to help make optimal decisions for complex systems and problems.
This course introduces students to operations research and its applications. The course covers several optimization techniques including linear programming, network flows, and transportation problems. Students will learn how to formulate mathematical models of real-world systems and solve them to determine optimal resource allocation. The goal is for students to be able to apply operations research methods to decision-making problems in fields like manufacturing, transportation, and public services. Students will be assessed through assignments, tests, and a final exam.
Operations Management VTU BE Mechanical 2015 Solved paperSomashekar S.M
The document provides information about operations management concepts including scientific management, productivity, ABC analysis, economic order quantity, and materials requirements planning. It defines each concept and provides examples to illustrate how they are applied. Scientific management aims to improve efficiency through systematic analysis of work processes. Productivity is a measure of output per unit of input. ABC analysis categorizes inventory items based on their value and usage to determine appropriate control methods. Economic order quantity and ordering cycle determine optimal replenishment amounts and frequencies to minimize total inventory costs. Materials requirements planning is a technique to plan material needs at different production levels based on a product structure tree.
Simulation-based Optimization of a Real-world Travelling Salesman Problem Usi...CSCJournals
This paper presents a real-world case study of optimizing waste collection in Sweden. The problem, involving approximately 17,000 garbage bins served by three bin lorries, is approached as a travelling salesman problem and solved using simulation-based optimization and an evolutionary algorithm. To improve the performance of the evolutionary algorithm, it is enhanced with a repair function that adjusts its genome values so that shorter routes are found more quickly. The algorithm is tested using two crossover operators, i.e., the order crossover and heuristic crossover, combined with different mutation rates. The results indicate that the order crossover is superior to the heuristics crossover, but that the driving force of the search process is the mutation operator combined with the repair function.
The document describes solving linear programming problems graphically. It provides an example maximization problem with an objective of maximizing Z=30x1 + 40x2 subject to three constraints. Graphically, the feasible region satisfying all constraints is determined by plotting the points where each constraint equation is equal to 0 for x1 and x2, and shading the correct side of the inequality sign. The optimal solution that maximizes Z can then be found within the feasible region on the graph.
Here is the solution to the assignment problem using linear programming:
- Let B = number of boxes of blocks, T = number of trucks
- Profit function: P = 30B + 40T
- Constraints:
- Woodworking hours: B + 3T ≤ 120
- Painting hours: 2B + T ≤ 80
- Graphically, the feasible region is bounded by the two constraint lines in the first quadrant
- The optimal solution occurs at the point where one constraint is binding - in this case, the painting hours constraint is binding at B = 40, T = 40
- At this point, profit is maximized at P = 30(40) + 40(40) = $3,
The document provides a syllabus for an operations research course covering topics like linear programming, transportation problems, assignment problems, and sequencing. Linear programming topics include formulation, graphical solution, and the simplex method. Transportation problems cover modeling the transportation of resources from origins to destinations to meet demands. Assignment problems involve allocating jobs to workers efficiently.
Week1_slides_Mathematical Optimization for EngineersMarcoRavelo2
The document discusses several examples of optimization problems:
1) Designing a pipeline to optimize the tradeoff between insulation costs and heating costs.
2) Planning robot motion to minimize transportation time while ensuring accurate positioning and avoiding collisions.
3) Optimizing semi-batch reactor operation by manipulating reactant dosage and temperature to maximize selectivity.
4) Finding the optimal cut of a gemstone to maximize volume while minimizing waste.
Operation research history and overview application limitationBalaji P
This document provides an overview of operation research (OR). It discusses OR topics like quantitative approaches to decision making, the history and definition of OR, common OR models like linear programming and network flow programming, and applications of OR. It also explains problem solving, decision making, and quantitative analysis approaches. OR aims to apply analytical methods to help make optimal decisions for complex systems and problems.
This course introduces students to operations research and its applications. The course covers several optimization techniques including linear programming, network flows, and transportation problems. Students will learn how to formulate mathematical models of real-world systems and solve them to determine optimal resource allocation. The goal is for students to be able to apply operations research methods to decision-making problems in fields like manufacturing, transportation, and public services. Students will be assessed through assignments, tests, and a final exam.
Operations Management VTU BE Mechanical 2015 Solved paperSomashekar S.M
The document provides information about operations management concepts including scientific management, productivity, ABC analysis, economic order quantity, and materials requirements planning. It defines each concept and provides examples to illustrate how they are applied. Scientific management aims to improve efficiency through systematic analysis of work processes. Productivity is a measure of output per unit of input. ABC analysis categorizes inventory items based on their value and usage to determine appropriate control methods. Economic order quantity and ordering cycle determine optimal replenishment amounts and frequencies to minimize total inventory costs. Materials requirements planning is a technique to plan material needs at different production levels based on a product structure tree.
Simulation-based Optimization of a Real-world Travelling Salesman Problem Usi...CSCJournals
This paper presents a real-world case study of optimizing waste collection in Sweden. The problem, involving approximately 17,000 garbage bins served by three bin lorries, is approached as a travelling salesman problem and solved using simulation-based optimization and an evolutionary algorithm. To improve the performance of the evolutionary algorithm, it is enhanced with a repair function that adjusts its genome values so that shorter routes are found more quickly. The algorithm is tested using two crossover operators, i.e., the order crossover and heuristic crossover, combined with different mutation rates. The results indicate that the order crossover is superior to the heuristics crossover, but that the driving force of the search process is the mutation operator combined with the repair function.
The document describes solving linear programming problems graphically. It provides an example maximization problem with an objective of maximizing Z=30x1 + 40x2 subject to three constraints. Graphically, the feasible region satisfying all constraints is determined by plotting the points where each constraint equation is equal to 0 for x1 and x2, and shading the correct side of the inequality sign. The optimal solution that maximizes Z can then be found within the feasible region on the graph.
Here is the solution to the assignment problem using linear programming:
- Let B = number of boxes of blocks, T = number of trucks
- Profit function: P = 30B + 40T
- Constraints:
- Woodworking hours: B + 3T ≤ 120
- Painting hours: 2B + T ≤ 80
- Graphically, the feasible region is bounded by the two constraint lines in the first quadrant
- The optimal solution occurs at the point where one constraint is binding - in this case, the painting hours constraint is binding at B = 40, T = 40
- At this point, profit is maximized at P = 30(40) + 40(40) = $3,
The document provides a syllabus for an operations research course covering topics like linear programming, transportation problems, assignment problems, and sequencing. Linear programming topics include formulation, graphical solution, and the simplex method. Transportation problems cover modeling the transportation of resources from origins to destinations to meet demands. Assignment problems involve allocating jobs to workers efficiently.
Week1_slides_Mathematical Optimization for EngineersMarcoRavelo2
The document discusses several examples of optimization problems:
1) Designing a pipeline to optimize the tradeoff between insulation costs and heating costs.
2) Planning robot motion to minimize transportation time while ensuring accurate positioning and avoiding collisions.
3) Optimizing semi-batch reactor operation by manipulating reactant dosage and temperature to maximize selectivity.
4) Finding the optimal cut of a gemstone to maximize volume while minimizing waste.
The International Journal of Mechanical Engineering Research and Technology is an international online journal published Quarterly offers fast publication schedule whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites the process of All submitted research articles are subjected to immediate rapid screening by the editors consultation with the Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
The International Journal of Mechanical Engineering Research and Technology is an international online journal published by Quarterly offers fast publication schedule with whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites and the process of All submitted research articles are subjected to immediate rapid screening by the editors consultation with the Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
The document defines operations research and discusses its history and applications. It originated during World War II to optimize limited military resources. Operations research uses mathematical modeling to aid decision making. It defines problems, formulates models, derives solutions, and implements recommendations. Some key applications include allocating scarce resources optimally and minimizing costs and wait times.
Recent research in finding the optimal path by ant colony optimizationjournalBEEI
The computation of the optimal path is one of the critical problems in graph theory. It has been utilized in various practical ranges of real world applications including image processing, file carving and classification problem. Numerous techniques have been proposed in finding optimal path solutions including using ant colony optimization (ACO). This is a nature-inspired metaheuristic algorithm, which is inspired by the foraging behavior of ants in nature. Thus, this paper study the improvement made by many researchers on ACO in finding optimal path solution. Finally, this paper also identifies the recent trends and explores potential future research directions in file carving.
The document provides an overview of quantitative analysis. It discusses that quantitative analysis is the systematic study of an organization's structure, characteristics, functions, and relationships to provide executives with a quantitative basis for decision making. The characteristics of quantitative analysis include a focus on decision making, applying a scientific approach, using an interdisciplinary team, and applying formal mathematical models. The quantitative analysis process involves defining the problem, developing a model, acquiring data, developing a solution, testing the solution, and validating the model. Common tools used in quantitative analysis include linear programming, statistical techniques, decision tables, decision trees, game theory, forecasting, and mathematical programming.
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.
This document contains answers to assignment questions on operations research. It defines operations research and describes types of operations research models including physical and mathematical models. It also outlines the phases of operations research including the judgment, research, and action phases. Additionally, it provides explanations and examples of linear programming problems and their graphical solution method, as well as addressing how to solve degeneracies in transportation problems and explaining the MODI optimality test procedure.
The document discusses optimization techniques and their application to supply chain problems. It provides a brief history of optimization technology including the development of operations research techniques in the 1940s and constraint programming in the 1970s. It then describes how to formulate an optimization problem by identifying decision variables, constraints, and an objective function. Common supply chain optimization problems and techniques are outlined including long-term planning, scheduling, and shipping optimization. The major advantages of constraint programming over other optimization approaches are also summarized.
This document provides an overview of machine learning concepts related to overfitting and model selection. It discusses overfitting in k-nearest neighbors and regression models. It introduces bias-variance decomposition and structural risk minimization. Methods for controlling overfitting like cross-validation, regularization, feature selection and model selection are covered. The concepts of consistency, model convergence speed, and strategies for controlling generalization capacity are explained.
Dear students get fully solved SMU MBA Fall 2014 assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Operational research (OR) is a discipline that deals with applying advanced analytical methods to help make better decisions. OR uses scientific methods and especially mathematical modeling to study complex problems. It is considered a subfield of applied mathematics. Some key applications of OR include scheduling, facility planning, planning and forecasting, credit scoring, marketing, and defense planning. OR takes a systems approach, uses interdisciplinary teams, and aims to optimize objectives subject to constraints through quantitative modeling and analysis.
This document provides an overview of simulation and modeling. It discusses key concepts such as systems, states, activities, and classification of systems. It also covers the system methodology process including planning, modeling, validation, and application. Examples are provided on simulating a coin toss and daily demand for a grocery store. Advantages and disadvantages of simulation are listed. The document appears to be from a textbook on simulation and modeling and provides foundational information on the topic.
OR is defined as a scientific approach to optimal decision making through modelling of
deterministic and probabilistic systems that originate from real life.
Scientific approach: LPP, PERT/CPM, Queueing model, NLP, DP,MILP, Game
theory, heuristic programming.
Deterministic system: - a system which gives the same result for a particular set of
input, no matter how many times we recalculate it
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 SMU MBA Fall 2014 assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
This document provides an overview of modeling and simulation as well as material selection. It defines models as representations of objects or systems. Simulation involves operating a model to study the behavior of a system. Modeling and simulation are used for various purposes like testing systems without building them, predicting outcomes, and training. The document also discusses terminology related to modeling and simulation. It provides examples of modeling and simulation applications for designing safer cars, weather forecasting, and bridge and aircraft design. The document then discusses material selection criteria and considerations for an automotive exhaust system as an example. It covers standards and codes that help ensure safety, compatibility and best practices.
This document provides notes for an introduction to simulation course. It defines key terms like system, entities, events, and different types of models. It explains that simulation is useful for evaluating systems that would be too complex, expensive or dangerous to experiment on directly. The document outlines the goals of the course as understanding simulation concepts, mathematics, programming and implementing simulation projects. It also discusses different approaches to representing time in a simulation, like next-event time advance and fixed-increment time advance.
Here are the steps to solve this LP problem using the simplex method:
1) Write the problem in standard form by introducing slack/surplus variables:
Maximize Z = 3x1 + 5x2 + 4x3
Subject to:
2x1 + 3x2 + s1 = 8
2x2 + 5x3 - s2 = 10
3x1 + 2x2 + 4x3 - s3 = 15
x1, x2, x3, s1, s2, s3 ≥ 0
2) Initialize the basic feasible solution:
Basis: s1, s2, s3
Basic variables: s1 = 8
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docxfelicidaddinwoodie
This document provides an overview of key concepts in public policy analysis. It defines public policy as purposive actions by government institutions to address problems and create change. The eight-fold path and process model are introduced as approaches to policy analysis. Key institutions and individuals in the policy environment are discussed. Problem recognition is described as the essential first step, including defining the problem type, scale, location, intensity, extensiveness, and timeline. Cost-benefit analysis is introduced as a tool to evaluate policy alternatives.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
The International Journal of Mechanical Engineering Research and Technology is an international online journal published Quarterly offers fast publication schedule whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites the process of All submitted research articles are subjected to immediate rapid screening by the editors consultation with the Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
The International Journal of Mechanical Engineering Research and Technology is an international online journal published by Quarterly offers fast publication schedule with whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites and the process of All submitted research articles are subjected to immediate rapid screening by the editors consultation with the Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
The document defines operations research and discusses its history and applications. It originated during World War II to optimize limited military resources. Operations research uses mathematical modeling to aid decision making. It defines problems, formulates models, derives solutions, and implements recommendations. Some key applications include allocating scarce resources optimally and minimizing costs and wait times.
Recent research in finding the optimal path by ant colony optimizationjournalBEEI
The computation of the optimal path is one of the critical problems in graph theory. It has been utilized in various practical ranges of real world applications including image processing, file carving and classification problem. Numerous techniques have been proposed in finding optimal path solutions including using ant colony optimization (ACO). This is a nature-inspired metaheuristic algorithm, which is inspired by the foraging behavior of ants in nature. Thus, this paper study the improvement made by many researchers on ACO in finding optimal path solution. Finally, this paper also identifies the recent trends and explores potential future research directions in file carving.
The document provides an overview of quantitative analysis. It discusses that quantitative analysis is the systematic study of an organization's structure, characteristics, functions, and relationships to provide executives with a quantitative basis for decision making. The characteristics of quantitative analysis include a focus on decision making, applying a scientific approach, using an interdisciplinary team, and applying formal mathematical models. The quantitative analysis process involves defining the problem, developing a model, acquiring data, developing a solution, testing the solution, and validating the model. Common tools used in quantitative analysis include linear programming, statistical techniques, decision tables, decision trees, game theory, forecasting, and mathematical programming.
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.
This document contains answers to assignment questions on operations research. It defines operations research and describes types of operations research models including physical and mathematical models. It also outlines the phases of operations research including the judgment, research, and action phases. Additionally, it provides explanations and examples of linear programming problems and their graphical solution method, as well as addressing how to solve degeneracies in transportation problems and explaining the MODI optimality test procedure.
The document discusses optimization techniques and their application to supply chain problems. It provides a brief history of optimization technology including the development of operations research techniques in the 1940s and constraint programming in the 1970s. It then describes how to formulate an optimization problem by identifying decision variables, constraints, and an objective function. Common supply chain optimization problems and techniques are outlined including long-term planning, scheduling, and shipping optimization. The major advantages of constraint programming over other optimization approaches are also summarized.
This document provides an overview of machine learning concepts related to overfitting and model selection. It discusses overfitting in k-nearest neighbors and regression models. It introduces bias-variance decomposition and structural risk minimization. Methods for controlling overfitting like cross-validation, regularization, feature selection and model selection are covered. The concepts of consistency, model convergence speed, and strategies for controlling generalization capacity are explained.
Dear students get fully solved SMU MBA Fall 2014 assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Operational research (OR) is a discipline that deals with applying advanced analytical methods to help make better decisions. OR uses scientific methods and especially mathematical modeling to study complex problems. It is considered a subfield of applied mathematics. Some key applications of OR include scheduling, facility planning, planning and forecasting, credit scoring, marketing, and defense planning. OR takes a systems approach, uses interdisciplinary teams, and aims to optimize objectives subject to constraints through quantitative modeling and analysis.
This document provides an overview of simulation and modeling. It discusses key concepts such as systems, states, activities, and classification of systems. It also covers the system methodology process including planning, modeling, validation, and application. Examples are provided on simulating a coin toss and daily demand for a grocery store. Advantages and disadvantages of simulation are listed. The document appears to be from a textbook on simulation and modeling and provides foundational information on the topic.
OR is defined as a scientific approach to optimal decision making through modelling of
deterministic and probabilistic systems that originate from real life.
Scientific approach: LPP, PERT/CPM, Queueing model, NLP, DP,MILP, Game
theory, heuristic programming.
Deterministic system: - a system which gives the same result for a particular set of
input, no matter how many times we recalculate it
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 SMU MBA Fall 2014 assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
This document provides an overview of modeling and simulation as well as material selection. It defines models as representations of objects or systems. Simulation involves operating a model to study the behavior of a system. Modeling and simulation are used for various purposes like testing systems without building them, predicting outcomes, and training. The document also discusses terminology related to modeling and simulation. It provides examples of modeling and simulation applications for designing safer cars, weather forecasting, and bridge and aircraft design. The document then discusses material selection criteria and considerations for an automotive exhaust system as an example. It covers standards and codes that help ensure safety, compatibility and best practices.
This document provides notes for an introduction to simulation course. It defines key terms like system, entities, events, and different types of models. It explains that simulation is useful for evaluating systems that would be too complex, expensive or dangerous to experiment on directly. The document outlines the goals of the course as understanding simulation concepts, mathematics, programming and implementing simulation projects. It also discusses different approaches to representing time in a simulation, like next-event time advance and fixed-increment time advance.
Here are the steps to solve this LP problem using the simplex method:
1) Write the problem in standard form by introducing slack/surplus variables:
Maximize Z = 3x1 + 5x2 + 4x3
Subject to:
2x1 + 3x2 + s1 = 8
2x2 + 5x3 - s2 = 10
3x1 + 2x2 + 4x3 - s3 = 15
x1, x2, x3, s1, s2, s3 ≥ 0
2) Initialize the basic feasible solution:
Basis: s1, s2, s3
Basic variables: s1 = 8
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docxfelicidaddinwoodie
This document provides an overview of key concepts in public policy analysis. It defines public policy as purposive actions by government institutions to address problems and create change. The eight-fold path and process model are introduced as approaches to policy analysis. Key institutions and individuals in the policy environment are discussed. Problem recognition is described as the essential first step, including defining the problem type, scale, location, intensity, extensiveness, and timeline. Cost-benefit analysis is introduced as a tool to evaluate policy alternatives.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.