Andrew Greasley - Böcker

This short textbook consolidates all the key aspects of operations management into a concise and easily accessible reference tool.Comprising the management of creating goods and delivering services to customers, operations management plays an essential role in the success of any organization. This book discusses the main areas of operations management, such as the design of the operations system, including product, process and job design. It also covers the management of operations, including lean operations and supply chain management.Breaking the subject down into its key components, this book provides a core introduction for undergraduate students studying operations management as part of business and management degrees.

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.

Operations Management Analytics, 4th Edition, provides a clear and accessible introduction to this important area of study. Taking an international approach, and written in a concise style, this revised new edition has been updated throughout to ensure that all key areas of operations in both the manufacturing and service industries are accounted for.New to this edition, the reader will find coverage of Industry 4.0, supply chain disruption, Internet of Things (IoT), 3D printing, Big Data Analytics, AI and digitalisation. Environmental and sustainability issues are emphasised, as are globalisation and automation processes. Aimed in particular at students seeking an introduction to the subject, Operations Management Analytics provides the reader with a comprehensive resource upon which to base their learning. A number of new case studies are featured – these are drawn from the service industry, manufacturing and the public sector – and come from a range of international contexts. Each chapter is complemented by a strategy link section that relates the chapter topic to operations strategy and an analytics section that provides quantitative content and exercises. End-of-chapter questions and exercises encourage the reader to reflect on what they have learnt.Operations Management Analytics, 4th Edition, is the ideal textbook for undergraduate students seeking to quickly get to grips with this fascinating and lively subject.

Operations Management Analytics, 4th Edition, provides a clear and accessible introduction to this important area of study. Taking an international approach, and written in a concise style, this revised new edition has been updated throughout to ensure that all key areas of operations in both the manufacturing and service industries are accounted for.New to this edition, the reader will find coverage of Industry 4.0, supply chain disruption, Internet of Things (IoT), 3D printing, Big Data Analytics, AI and digitalisation. Environmental and sustainability issues are emphasised, as are globalisation and automation processes. Aimed in particular at students seeking an introduction to the subject, Operations Management Analytics provides the reader with a comprehensive resource upon which to base their learning. A number of new case studies are featured – these are drawn from the service industry, manufacturing and the public sector – and come from a range of international contexts. Each chapter is complemented by a strategy link section that relates the chapter topic to operations strategy and an analytics section that provides quantitative content and exercises. End-of-chapter questions and exercises encourage the reader to reflect on what they have learnt.Operations Management Analytics, 4th Edition, is the ideal textbook for undergraduate students seeking to quickly get to grips with this fascinating and lively subject.

The ultimate textbook in Business Information Systems for future Managers

Business Information Systems: Technology, Development and Management for the Modern Business, 6th Edition by Bocij, Greasley, and Hickie is a leading text that will help you understand the relevance and impact of information systems in today's business environment.

Written in a language that is easy to follow, this text does not assume any prior knowledge of IS or ICT and is ideal for students attending courses related to Business Information Systems and Management Information Systems at an Undergraduate or Postgraduate level.

Starting from basic concepts this book provides a comprehensive and accessible guide to:

understanding the technology of Business Information Systems choosing the right Information System for an organisation developing and managing an efficient Business Information System employing information systems strategically to achieve organisational goals

Taking a problem-solving approach, this thoroughly revised edition defines new concepts and studies the theory of information systems according to the most recent business and technological advances, covering contemporary key topics such as:

Big Data Analytics Cloud Computing Industry 4.0 Internet of Things

With new business examples, case studies, and web links fully integrated throughout, this must-have guide will provide you with all the tools you need to understand the opportunities and benefits Information Systems bring to an organisation and successfully run a business.

The SAGE Course Companion on Operations Management is an accessible introduction to the subject that will help readers to extend their understanding of key concepts and enhance their thinking skills in line with course requirements. It provides support on how to revise for exams and prepare for and write assessed pieces. Readers are encouraged not only to think like an operations manager but also to think about the subject critically.

The SAGE Course Companion on Operations Management is an accessible introduction to the subject that will help readers to extend their understanding of key concepts and enhance their thinking skills in line with course requirements. It provides support on how to revise for exams and prepare for and write assessed pieces. Readers are encouraged not only to think like an operations manager but also to think about the subject critically.

This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

The aim of this book is to help enable the use of the technique of simulation modelling in the organisation. There is an emphasis in the book on the implementation of the technique in organisations, rather than a detailed treatment of the mechanics of simulation software execution or the statistical analysis undertaken during a study. The focus in this text is on recent changes in the way simulation is used which have led to its wider use and provide the potential for a continued growth in use. Chapter 1 provides an overview of the technique and gives details of where the technique can be applied in the organisation. Chapter 2 provides evidence of previous and current survey research showing the use of simulation and the challenges ahead if usage is to be increased. A particular area of growth in the use of simulation is in service applications. This has led to an interest in the modelling of human behaviour in addition to the traditional simulation of material and information processes. A framework is presented indicating approaches to the challenge of modelling people in organisations to provide guidance for simulation practitioners. Chapter 3 examines the physical and human resources that are necessary to enable a simulation capability within the organisation.