Learning, Unlearning and Re-Learning Curves
| Author | : Alan Jones |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-10-07 |
| Genre | : |
| ISBN | : 9781032948508 |
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Learning, Unlearning and Re-Learning Curves
| Author | : Alan R. Jones |
| Publisher | : Routledge |
| Total Pages | : 304 |
| Release | : 2018-09-13 |
| Genre | : Business & Economics |
| ISBN | : 1351661477 |
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Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others. It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit. A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation’s complex learning curve as the product of multiple shallower learning curves. Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected. The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost. This technique is compared with other, better known techniques such as Anderlohr’s. Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning. Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.
Learning, Unlearning and Re-learning Curves
| Author | : Alan R. Jones |
| Publisher | : Working Guides to Estimating & Forecasting |
| Total Pages | : 303 |
| Release | : 2018-07-06 |
| Genre | : Industrial productivity |
| ISBN | : 9781138064973 |
Download Learning, Unlearning and Re-learning Curves Book in PDF, ePub and Kindle
Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others. It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit. A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation's complex learning curve as the product of multiple shallower learning curves. Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected. The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost. This technique is compared with other, better known techniques such as Anderlohr's. Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning. Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.
Risk, Opportunity, Uncertainty and Other Random Models
| Author | : Alan R. Jones |
| Publisher | : Routledge |
| Total Pages | : 292 |
| Release | : 2018-09-13 |
| Genre | : Business & Economics |
| ISBN | : 1351661299 |
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Risk, Opportunity, Uncertainty and Other Random Models (Volume V in the Working Guides to Estimating and Forecasting series) goes part way to debunking the myth that research and development cost are somewhat random, as under certain conditions they can be observed to follow a pattern of behaviour referred to as a Norden-Rayleigh Curve, which unfortunately has to be truncated to stop the myth from becoming a reality! However, there is a practical alternative in relation to a particular form of PERT-Beta Curve. However, the major emphasis of this volume is the use of Monte Carlo Simulation as a general technique for narrowing down potential outcomes of multiple interacting variables or cost drivers. Perhaps the most common of these in the evaluation of Risk, Opportunity and Uncertainty. The trouble is that many Monte Carlo Simulation tools are ‘black boxes’ and too few estimators and forecasters really appreciate what is happening inside the ‘black box’. This volume aims to resolve that and offers tips into things that might need to be considered to remove some of the uninformed random input that often creates a misinformed misconception of ‘it must be right!’ Monte Carlo Simulation can be used to model variable determine Critical Paths in a schedule, and is key to modelling Waiting Times and cues with random arisings. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Probability, Statistics and Other Frightening Stuff
| Author | : Alan R. Jones |
| Publisher | : Routledge |
| Total Pages | : 472 |
| Release | : 2018-10-09 |
| Genre | : Business & Economics |
| ISBN | : 1351661388 |
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Probability, Statistics and Other Frightening Stuff (Volume II of the Working Guides to Estimating & Forecasting series) considers many of the commonly used Descriptive Statistics in the world of estimating and forecasting. It considers values that are representative of the ‘middle ground’ (Measures of Central Tendency), and the degree of data scatter (Measures of Dispersion and Shape) around the ‘middle ground’ values. A number of Probability Distributions and where they might be used are discussed, along with some fascinating and useful ‘rules of thumb’ or short-cut properties that estimators and forecasters can exploit in plying their trade. With the help of a ‘Correlation Chicken’, the concept of partial correlation is explained, including how the estimator or forecaster can exploit this in reflecting varying levels of independence and imperfect dependence between an output or predicted value (such as cost) and an input or predictor variable such as size. Under the guise of ‘Tails of the unexpected’ the book concludes with two chapters devoted to Hypothesis Testing (or knowing when to accept or reject the validity of an assumed estimating relationship), and a number of statistically-based tests to help the estimator to decide whether to include or exclude a data point as an ‘outlier’, one that appears not to be representative of that which the estimator is tasked to produce. This is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Best Fit Lines & Curves
| Author | : Alan R. Jones |
| Publisher | : Routledge |
| Total Pages | : 498 |
| Release | : 2018-10-09 |
| Genre | : Business & Economics |
| ISBN | : 1351661442 |
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Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple ‘Moving Measures’ are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Techniques is provided. Simple Linear Regression Analysis, a more formal numerical technique that calculates the line of best fit subject to defined ‘goodness of fit’ criteria. Microsoft Excel is used to demonstrate how to decide whether the line of best fit is a good fit, or just a solution in search of some data. These principles are then extended to cover multiple cost drivers, and how we can use them to quantify 3-Point Estimates. With a deft sleight of hand, certain commonly occurring families of non-linear relationships can be transformed mathe-magically into linear formats, allowing us to exploit the powers of Regression Analysis to find the Best Fit Curves. The concludes with an exploration of the ups and downs of seasonal data (Time Series Analysis). Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Learning Curves
| Author | : Mohamad Y. Jaber |
| Publisher | : CRC Press |
| Total Pages | : 464 |
| Release | : 2016-04-19 |
| Genre | : Business & Economics |
| ISBN | : 143980740X |
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Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partia
Unlearn: Let Go of Past Success to Achieve Extraordinary Results
| Author | : Barry O'Reilly |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 240 |
| Release | : 2018-11-27 |
| Genre | : Business & Economics |
| ISBN | : 1260143023 |
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A transformative system that shows leaders how to rethink their strategies, retool their capabilities, and revitalize their businesses for stronger, longer-lasting success. There’s a learning curve to running any successful business. But when leaders begin to rely on past achievements or get stuck in old thinking and practices that no longer work, they need to take a step back—and unlearn. This innovative and actionable framework from executive coach Barry O’Reilly shows leaders how to break the cycle and move away from once-useful mindsets and behaviors that were effective in the past but are no longer relevant in the current business climate and may now stand in the way of success. With this simple but powerful three-step system, leaders can: 1. Unlearn the behaviors and mindsets that keep them and their businesses from moving forward. 2. Relearn the skills, strategies, and innovations that are transforming the world every day. 3. Break through old habits and thinking by opening up to new ideas, perspectives, and resources. Good leaders know they need to continuously learn. But great leaders know when to unlearn the past to succeed in the future. This book shows them the way.
Nurturing Business Leaders- (Zero-based Praotive Learning Paradigm)
| Author | : Dr. Saumya Sindhwani |
| Publisher | : Sterling Publishers Pvt. Ltd |
| Total Pages | : 268 |
| Release | : |
| Genre | : Business & Economics |
| ISBN | : 8120791975 |
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"This book, written by three authors from three different countries, speaking three different languages who happen to be doctoral students at one of the largest business schools in Europe, provides fascinating kaleidoscopic insights on the contextual topics of global concern. The three, in their own unique ways provide an in-depth understanding of the various decisive elements prevailing in the global business environment. The unstructured and informal approach of the experienced researchers brings out many candid and insightful observations of global business players from various industries. The book provides glimpses of the leadership challenges, opportunities and the operational response options as well as evolving business models and job profiles in the emerging knowledge era. The idea presented is well thought out, easy to contextualise and simple to operate. The transformational paradigm provided by the authors is justified by the recent happenings in the global business world. Also, the paradigm is futuristic and provides for the leadership exigencies of the dynamic, disruptive fast changing business environment. Tomorrow is uncharted. How does one step into uncharted territory? What does globalisation globalise? Does globalisation augment localisation? What kind of innovative management thinking and practices are required to meet the challenges of instant global connectivity and networking? How different will tomorrow be from today? What traits would be essential for future managers and business leaders? These and many more questions from the basis of this book. The book also throws light on how proactive learning is and how it will be a critical success factor in the fast-emerging knowledge era. "
ICOPROMO, Intercultural Competence for Professional Mobility
| Author | : Evelyne Glaser |
| Publisher | : Council of Europe |
| Total Pages | : 60 |
| Release | : 2007-01-01 |
| Genre | : Social Science |
| ISBN | : 9789287161437 |
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This publication reflects the outcomes of a project which brought together experts and practitioners in the field of intercultural competence for professional mobility and which focused on group-oriented (teamwork) intercultural communication and interaction competencies.
