Operations Management and Data Analytics Modelling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Operations Management and Data Analytics Modelling PDF full book. Access full book title Operations Management and Data Analytics Modelling by Lalit Kumar Awasthi. Download full books in PDF and EPUB format.
Author: Lalit Kumar Awasthi
Publisher: CRC Press
ISBN: 1000530744
Category : Business & Economics
Languages : en
Pages : 207
Get Book Here
Book Description
Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0. It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma. Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problems This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
Author: Lalit Kumar Awasthi
Publisher: CRC Press
ISBN: 1000530744
Category : Business & Economics
Languages : en
Pages : 207
Get Book Here
Book Description
Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0. It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma. Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problems This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
Author: Kumar, Manish
Publisher: IGI Global
ISBN: 1522508872
Category : Business & Economics
Languages : en
Pages : 270
Get Book Here
Book Description
Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Author: Hui Yang
Publisher: Springer Nature
ISBN: 3030309673
Category : Business & Economics
Languages : en
Pages : 394
Get Book Here
Book Description
This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users‘ both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.
Author: Iman Rahimi
Publisher: CRC Press
ISBN: 1000326918
Category : Computers
Languages : en
Pages : 211
Get Book Here
Book Description
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
Author: Mark S. Daskin
Publisher: Morgan & Claypool Publishers
ISBN: 1636392326
Category : Technology & Engineering
Languages : en
Pages : 193
Get Book Here
Book Description
This text is an introduction to Operations Management. Three themes are woven throughout the book: optimization or trying to do the best we can, managing tradeoffs between conflicting objectives, and dealing with uncertainty. After a brief introduction, the text reviews the fundamentals of probability including commonly used discrete and continuous distributions and functions of a random variable. The next major section, beginning in Chapter 7, examines optimization. The key fundamentals of optimization—inputs, decision variables, objective(s), and constraints—are introduced. Optimization is applied to linear regression, basic inventory modeling, and the newsvendor problem, which incorporates uncertain demand. Linear programming is then introduced. We show that the newsvendor problem can be cast as a network flow linear programming problem. Linear programming is then applied to the problem of redistributing empty rental vehicles (e.g., bicycles) at the end of a day and the problem of assigning students to seminars. Several chapters deal with location models as examples of both simple optimization problems and integer programming problems. The next major section focuses on queueing theory including single-and multi-server queues. This section also introduces a numerical method for solving for key performance metrics for a common class of queueing problems as well as simulation modeling. Finally, the text ends with a discussion of decision theory that again integrates notions of optimization, tradeoffs, and uncertainty analysis. The text is designed for anyone with a modest mathematical background. As such, it should be readily accessible to engineering students, economics, statistics, and mathematics majors, as well as many business students.
Author: Nicoleta Tipi
Publisher: Kogan Page Publishers
ISBN: 0749498617
Category : Technology & Engineering
Languages : en
Pages : 329
Get Book Here
Book Description
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.
Author: Nada R. Sanders
Publisher: Pearson Education
ISBN: 0133762823
Category : Business & Economics
Languages : en
Pages : 273
Get Book Here
Book Description
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.
Author: John F. Barlow
Publisher: John Wiley & Sons
ISBN: 9788126509515
Category : Business
Languages : en
Pages : 436
Get Book Here
Book Description
Market_Desc: · Business Studies, Accounting, Finance, and Operations Management courses that offer practical computing skills as an integral part of the course syllabus· Managers and Analysts who want to develop their model-building skills Special Features: · The use of spreadsheet models in finance, business and management decision-making is on the increase· Other books on spreadsheet modeling tend to focus on applied management science and complex financial models, which restricts the market· This new edition will follow the active learning approach which focuses on the practical aspect of how to build computer models while summarizing the mathematical logic as to why the model is so constructed· A website will accompany the text, containing hands on development models to enable the reader to put theory into practice.· A new chapter entitled Investment Analysis Models will be added to widen the appeal to students in finance and accounting.· All references to Excel (including the Excel refresher notes in the appendix) have been upgraded to reflect the latest version of Microsoft Office (e. g. Excel 2003 and Windows XP)· Job sequencing including a VBA routine for Johnson s Rule· Multiplicative Holt-Winter s model About The Book: This text adopts an active learning approach with the emphasis being placed on the utilization of software tools to help build models. The learn by example approach used throughout the book guides the user through the complexities of model building. Every day examples from business and operations management form the basis of the book s hands on development models that help the reader to appreciate Excel s power and flexibility.
Author: Thomas W. Miller
Publisher: Pearson Education
ISBN: 0133886018
Category : Business & Economics
Languages : en
Pages : 376
Get Book Here
Book Description
Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively.
Author: Dr. Yashodhan Mithare
Publisher: Sharp Publications Pvt.Ltd
ISBN:
Category : Business & Economics
Languages : en
Pages : 154
Get Book Here
Book Description
Production and Operations Management in business administration focuses on planning, controlling, and improving processes to efficiently manufacture products or deliver services, optimizing resources and customer satisfaction.
