Procurement Analytics


Book Description

This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals. The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range of industries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.




Big Data Analytics in Supply Chain Management


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.




Spend Analysis


Book Description

Spend analysis is a key component of strategic supply management. This book provides in-depth guidance on what spend analysis really is, what it specifically involves, and how to use it to help your organization achieve its full potential.




Supply Chain Analytics


Book Description

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.




Big Data Driven Supply Chain Management


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.




The Oxford Handbook of Supply Chain Management


Book Description

Supply chain management contends with structures and processes for delivering goods and services to customers. It addresses the core functions of connected businesses to meet downstream demand. This innovative volume provides an authoritative and timely guide to the overarching issues that are ubiquitous throughout the supply chain. In particular, it addresses emerging issues that are applicable across supply chains--such as data science, financial flows, human capital, internet technologies, risk management, cyber security, and supply networks. With chapters from an international roster of leading scholars in the field, the Oxford Handbook of Supply Chain Management is a necessary resource for all students and researchers of the field as well as for forward-thinking practitioners.




Lean Demand-Driven Procurement


Book Description

While there are many books written on the basics of the "supply" side of the supply chain (i.e. strategic sourcing, sourcing/procurement, and purchasing), there hasn’t been much written on those areas from a Lean perspective. Considering that supply chain costs, primarily procurement and transportation, can range from 50 to 70% of sales, it's surprising that this area has not been fully explored. As a result, some companies tend to place too much emphasis on the traditional focus of reducing material costs instead of process improvement. Lean Demand-Driven Procurement: How to Apply Lean Thinking to Your Supply Management Process details the basic supply management concepts and processes (i.e. sourcing, procurement, and purchasing) in an easy-to-understand format in combination with various process improvement tools, methodologies, best practices, examples, and cases written from a Lean perspective. It focuses and pinpoints ways to identify waste on the supply side through improved processes and, in some cases, technology. Applying Lean principles to procurement and purchasing processes identies non-traditional sources of waste, and in some cases, creates a paradigm shift that results in additional benets to the entire supply chain.




HR ANALYTICS


Book Description

This book provides a comprehensive overview of various aspects of HR analytics. It delves into important definitions, the significance of HR analytics, methods of data collection and management, as well as specific areas such as recruitment analytics, performance management analytics, employee engagement analytics, and diversity, equity and inclusion (DEI) analytics. The book also explores ethical considerations, implementation strategies, and the role of HR analytics in workforce planning, succession planning, and employee wellness. Additionally, it discusses monitoring the impact of interventions and offers insights into the future of HR analytics. Besides, it offers a range of practical tools and templates for various applications. KEY FEATURES • Comprehensive coverage: Covers a wide range of topics related to HR analytics from the basics to more specialized areas. • Diverse tools and techniques: Includes discussions on various data analysis techniques, such as predictive analytics, machine learning, and statistical modelling. • Practical templates and forms: Inclusion of templates and forms, such as employee attitude surveys and KPI dashboards, make this book more hands-on and practical. • Ethical and legal considerations: Focusses on ethics and compliance/legal considerations for the evolving landscape of HR analytics. • Future-oriented content: Discusses on the future of HR analytics and emerging trends is a dimension of forward-looking. • Agile HR analytics: Includes Agile HR Analytics as an emerging trend. • Staying updated: Acknowledges the importance of staying updated on HR analytics trends. • Clarity and accessibility: Presents a clear, accessible, and engaging text making the book reader-friendly. • The book primarily intended to the students of business schools is equally valuable to the professionals in the field. For instructor’s resources, visit https://www.phindia.com/HR_ analytics_deepa_mukul_partha TARGET AUDIENCE • MBA — HR • Data Analytics and HR Professionals




Supply Chain Network Design


Book Description

Introduction and basic building blocks. Adding costs to two echelon supply chains. Advanced modeling and expanding to multiple echelons. How to get industrial streng results. Case study wrap up.




The Digitalization of the 21st Century Supply Chain


Book Description

The goal of this book is to gain a clear picture of the current status and future challenges with regard to the digitalization of the supply chain – from the perspective of the suppliers, the manufacturers, and the customers. They were the target groups of the book. Digitization has touched upon all aspects of businesses, including supply chains. Technologies such as RFID, GPS, and sensors have enabled organizations to transform their existing hybrid (combination of paper-based and IT-supported processes) supply chain structures into more f lexible, open, agile, and collaborative digital models. Unlike hybrid supply chain models, which have resulted in rigid organizational structures, unobtainable data, and disjointed relationships with partners, digital supply chains enable business process automation, organizational flexibility, and digital management of corporate assets. In order to reap maximum benefits from digital supply chain models, it is important that companies internalize it as an integral part of the overall business model and organizational structure. Localized disconnected projects and silo-based operations pose a serious threat to competitiveness in an increasingly digital world. The technologies discussed in this text – artificial intelligence, 3D printing, Internet of things, etc. – are beginning to come together to help digitize, automate, integrate, and improve the global supply chains. It’s certainly an exciting and challenging time for both new supply chain professionals and long-time supply chain professionals.