Quantitative Analysis for Management

Quantitative Analysis for Management

For courses in Management Science or Decision Modeling. Render/Stair/Hanna puts an emphasis on model building and computer applications to show students how the techniques presented in the book are used in business.

Author: Barry Render

Publisher: Prentice Hall

ISBN: 0132149117

Category: Business & Economics

Page: 647

View: 238

A solid foundation in quantitative methods and management science. Render/Stair/Hanna puts an emphasis on model building and computer applications to show readers how the techniques presented in the text are used in business. This text's use of software also allows readers to focus on the managerial problem, while spending less time on the mathematical details of the algorithms. In the eleventh edition, Excel 2010 has been incorporated throughout the text and an even greater emphasis on modeling is provided.
Categories: Business & Economics

Quantitative Analysis for Management

Quantitative Analysis for Management

Computer output is provided for many examples throughout the text. Teaching and Learning Experience This text provides a solid foundation in quantitative methods and management science.

Author: Barry Render

Publisher: Prentice Hall

ISBN: 0133507335

Category: Business & Economics

Page: 587

View: 167

For courses in Management Science or Decision Modeling A solid foundation in quantitative methods and management science This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science--and how to apply the concepts and techniques in the real world--through a strong emphasis on model building, computer applications, and examples. The authors' approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text. Teaching and Learning Experience This text provides a solid foundation in quantitative methods and management science. Here's how: Students see clearly how concepts and techniques are used in real organizations. Outstanding in-text features provide reinforcement and ensure understanding. The text's use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.
Categories: Business & Economics

An Introduction to Management Science A Quantitative Approach to Decision Making

An Introduction to Management Science  A Quantitative Approach to Decision Making

This edition now places greater emphasis on the applications of management science and use of computer software with less focus on algorithms.

Author: David Anderson

Publisher: Cengage Learning

ISBN: 0324399804

Category: Business & Economics

Page: 900

View: 953

Learn today's management science concepts and techniques--and how they will benefit you in the classroom and business world beyond--with the definitive leader in management science, INTRODUCTION TO MANAGEMENT SCIENCE: A QUANTITATIVE APPROACH TO DECISION MAKING, 12E. The latest edition of this leading text blends a readable style with a wealth of examples that demonstrate how businesses throughout the world use management science techniques to further their success. Proven, realistic problems help strengthen critical problem-solving skills, while numerous self-test exercises with complete solutions allow you to immediately check your personal understanding of the material. Every new edition now includes the highly respected LINGO 10 software that is integrated with text problems to help you develop the skills to use this, Excel, and many other valuable software packages to resolve management science problems. This edition now places greater emphasis on the applications of management science and use of computer software with less focus on algorithms. Much of the algorithm coverage as well as Excel templates and add-in software, and the user-friendly Management Scientist software are available on the text's accompanying Student CD. Trust INTRODUCTION TO MANAGEMENT SCIENCE, 12E to introduce the management science skills you need now and into the future with clarity you can understand and practicality you can immediately apply. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Categories: Business & Economics

The Handbook for Market Research for Life Sciences Companies

The Handbook for Market Research for Life Sciences Companies

There are many fine books dedicated to this topic exclusively, and any reader wishing to learn more could take a look at Quantitative Analysis for Management (12th Edition) by Barry Render (Pearson Publishing) or The Quantitative ...

Author: Jean-Francois Denault

Publisher: Taylor & Francis

ISBN: 9781351773492

Category: Business & Economics

Page: 202

View: 997

As innovation moves from the lab to the market, a new research phase begins for the entrepreneur: the market research phase. Inspired by a new technology that can change the world, critical questions need to be addressed. Is there a market for my innovation? Who are my clients? What do they need? Is my innovation filling that gap in the market? Who are my competitors? How are they approaching the market? If these questions are unaswered, entrepreneurs meet potential investors or partners with only a basic understanding of their market. The objective of this book is to fill this gap. It is a practical manual that gives entrepreneurs real-world advice and tools to build a solid market model. The book provides tips, models and tools entrepreneurs can use to collect, interpret and present their market and integrate it into their business plan. What the entrepreneur learns in this book will help him throughout his journey. After going over the market research process, he will learn how to design and use a number of market research tools, and how to adapt them in a life science context. From building a web survey to preparing interviews to doing your own secondary research, this handbook will help him gain a comprehensive understanding of how to perform his own market research activities and how to analyze his data. Finally, a number of frameworks (such as the TAM-SAM-SOM as well as the KANO Model) are described so that he can efficiently share what he has learned, using models that simply yet effectively shares findings.
Categories: Business & Economics

Multi Criteria Methods and Techniques Applied to Supply Chain Management

Multi Criteria Methods and Techniques Applied to Supply Chain Management

SWOT analysis for safer carriage of bulk liquid chemicals in tankers. ... Quantitative Analysis for Management. 12th ed. Pearson; 2015 Mulliner E, Malys N, Maliene V. Comparative analysis of MCDM methods for the assessment of ...

Author: Valerio Salomon

Publisher: BoD – Books on Demand

ISBN: 9781789233346

Category: Business & Economics

Page: 178

View: 417

This book intends to be a complimentary reference for graduate and undergraduate courses of Business and Engineering. Readers not familiar with Multi-Criteria Decision Making (MCDM) and supply chain management (SCM) may have a first glance, reading isolate chapters. Moreover, the sequential order from Chapters 1 to 8 may be more instructive. Readers with expertise on MCDM or SCM will find interesting applications or proposals. The book also presents a systematic literature review, which confirms the leadership of analytic hierarchy process (AHP) and data envelopment analysis (DEA).
Categories: Business & Economics

Supply Chain Analytics

Supply Chain Analytics

... could use such a model to conduct sensitivity analysis in order to expose an organisation's risks. ii Using an example, ... M. E., and Hale, T. S. (2015), Quantitative Analysis for Management (12th edition), Pearson, Harlow, Essex.

Author: Peter W. Robertson

Publisher: Routledge

ISBN: 9781000280500

Category: Business & Economics

Page: 298

View: 230

Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.
Categories: Business & Economics

Quantitative Methods for Business

Quantitative Methods for Business

This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data.

Author: David R. Anderson

Publisher: Cengage Learning

ISBN: 1285866312

Category: Business & Economics

Page: 936

View: 665

Written with the non-mathematician in mind, QUANTITATIVE METHODS FOR BUSINESS, 13E by award-winning authors Anderson, Sweeney, Williams, Camm, Cochran, Fry, and Ohlmann equips your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process. This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving relevant, real-world examples throughout. The authors' hallmark Problem-Scenario Approach helps readers understand and apply mathematical concepts and techniques. The 13th Edition includes a more holistic description of how variable activity times affect the probability of a project meeting a deadline. In addition, numerous all-new Q.M. in Action vignettes, homework problems, and end-of-chapter cases are included. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Categories: Business & Economics

Quantitative Methods for Business

Quantitative Methods for Business

Written with the non-mathematician in mind, this applications-oriented text clearly introduces today’s many quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data.

Author: David Anderson

Publisher: Cengage Learning

ISBN: 0840062338

Category: Business & Economics

Page: 936

View: 362

Provide your students with a strong conceptual understanding of the critical role that quantitative methods play in today’s decision-making process with the well-respected QUANTITATIVE METHODS FOR BUSINESS, 12E by award-winning authors Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann. Written with the non-mathematician in mind, this applications-oriented text clearly introduces today’s many quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving pertinent, actual examples throughout that illustrate key situations where quantitative methods make a difference in decision making. QUANTITATIVE METHODS FOR BUSINESS, 12E provides everything your students need for success from the authors hallmark Problem-Scenario Approach that helps readers understand and apply mathematical concepts and techniques. Instant online access provides students with Excel worksheets, TreePlan, Crystal Ball, Premium Solver for Excel, and LINGO. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Categories: Business & Economics

Essential Quantitative Methods

Essential Quantitative Methods

Curwin, J. and Slater, R. (2017) Quantitative Methods for Business Students, 6th edition, Thomson. Daellenbach, H.G. and McNickle, D.C. (2012) Management Science: Decision-making through Systems Thinking, 2nd edition, Palgrave Macmillan ...

Author: Les Oakshott

Publisher: Bloomsbury Publishing

ISBN: 9781352005707

Category: Business & Economics

Page: 428

View: 454

This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful. An ideal textbook for undergraduate students of business, management and finance, it is also suitable for MBA students and postgraduates.
Categories: Business & Economics

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1

[7] B. Render, R.M. Stair Jr., Quantitative analysis for management, twelfth ed., Pearson Education India, 2016. Chapter 37 Scheduling shuttle ambulance vehicles for COVID-19 695 References.

Author: Utku Kose

Publisher: Academic Press

ISBN: 9780128245378

Category: Science

Page: 752

View: 755

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions
Categories: Science