Detecting and Reducing Supply Chain Fraud


Book Description

Norman Katz has secured a top spot as one of the Top 50 Global Thought Leaders and Influencers on Supply Chain 2020. For most large organizations, the supply chain is a commercial advantage, enabling innovation, cost management and resilience. But the supply chain is open to fraud: the length and complexity of it creates opportunities for fraudsters to exploit phantom inventory, invent non-existent customers or suppliers, substitute one product for another, cheat on the quality...this list goes on. These frauds present a significant source of additional cost to the organization and expose it to a host of secondary risks: contract, compliance and reputation. Detecting and Reducing Supply Chain Fraud is a pragmatic guide to identifying and managing sources of risk. Norman A. Katz explains the main categories of fraud risk: what they are, what is their significance and how they are exploited by the fraudster. He also explores both the tactical and strategic approaches that you should adopt to help detect and reduce fraud, including detection techniques and the use of technology. He provides tactics for increasing your organization's resilience: increased transparency, appropriate governance, and engaging employees, customers and suppliers in more ethical work practices. If you are responsible for your organization's supply chain, or perhaps involved in audit, compliance or risk management, start using Detecting and Reducing Supply Chain Fraud and look more closely at every aspect of your supply chain, both internal and external. The savings made in fraud reduction, the increased resilience you will give all of your operations and the improved reputation that your business will enjoy, as a contract partner or amongst stakeholders, will repay your investment a hundred-fold.




Successful Supply Chain Vendor Compliance


Book Description

Norman Katz has secured a top spot as one of the Top 50 Global Thought Leaders and Influencers on Supply Chain 2020. Even the largest companies find managing vendors a daunting task. If you get it wrong then you risk inadvertently penalizing potentially valuable suppliers with misguided, overly bureaucratic or costly processes. Worse the burdens placed on the vendors backfires on the customer entity itself as the customer is subjected to the increased operational costs of managing the ramifications of the ill-conceived or poorly implemented requirement through the vendor community, driving up its own operational costs and increasing frustrations for all, straining the customer-vendor relationship. Effective compliance programs balance the requirements with the capabilities of their suppliers, striving to educate instead of just inform. A well-run program should help vendors self-implement and control costs, not force vendors to rely on constant communication and increase costs for all trading partners involved. Successful Supply Chain Vendor Compliance explains the technical, process and cultural elements that go into a successful compliance program. Norman Katz exposes the weaknesses in traditional programs and identifies the characteristics of well-managed programs that foster beneficial trading partner relationships. He shows how a well-executed vendor compliance program can control and decrease costs by reducing disruptions throughout the supply chain, from the distribution center to the data center to the corporate office. Competition is fierce, and the right vendor can help you define a business model, react quickly to changes, and differentiate between you and your competitors. See the latest Forbes article on Abusive Compliance Practices!




Food Industry 4.0


Book Description

Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. - Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry - Covers the most trend topics related to novel foods in the light of emerging innovations and developments - Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors




Supply Chain Management


Book Description

The purpose of supply chain management is to make production system manage production process, improve customer satisfaction and reduce total work cost. With indubitable significance, supply chain management attracts extensive attention from businesses and academic scholars. Many important research findings and results had been achieved. Research work of supply chain management involves all activities and processes including planning, coordination, operation, control and optimization of the whole supply chain system. This book presents a collection of recent contributions of new methods and innovative ideas from the worldwide researchers. It is aimed at providing a helpful reference of new ideas, original results and practical experiences regarding this highly up-to-date field for researchers, scientists, engineers and students interested in supply chain management.




International Conference on Advanced Intelligent Systems for Sustainable Development


Book Description

This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.




Unleashing Tomorrow The Power of Blockchain and AI in Our World


Book Description

Unleashing Tomorrow: The Power of Blockchain and AI in Our World" delves into the revolutionary impact of Blockchain and Artificial Intelligence (AI) across industries. Exploring lesser-known applications and emerging fields like decentralized finance (DeFi) and AI ethics, this book uncovers niche opportunities for innovation and growth. Through in-depth case studies and analysis, readers discover how these technologies reshape economies, enhance transparency, and drive sustainability. From tokenizing real assets to AI-powered personalized medicine, this book illuminates the transformative potential of Blockchain and AI in shaping tomorrow's world.




Future of Tech and Trends


Book Description

Dive into the forefront of technological innovation with Sam Samie's latest masterpiece, 'Future of Tech and Trends: Exploring the Future of AI and Technology.' This comprehensive guide unravels the complexities of AI, cloud computing, edge computing, and blockchain, presenting their transformative impacts across multiple sectors. Written by the acclaimed author of 'She Wants Me to NFT', this book extends beyond mere explanations to offer a visionary outlook on how these technologies are reshaping industries such as finance, healthcare, and beyond. 'Future of Tech and Trends' not only demystifies cutting-edge technologies but also explores their ethical dimensions and the future they are likely to forge. Whether you're an industry professional, an academic, or a technology aficionado, this book equips you with a profound understanding and actionable insights into the digital future. Sam Samie, known for his insightful and accessible writing, ensures that each chapter serves as both a standalone deep dive and a part of a larger, compelling narrative. With this book, readers are invited to envision the potential of a smarter, more connected world. Prepare to be inspired, educated, and provoked as you discover the technologies that are not just evolving but revolutionizing the way we think, work, and live. Embrace the future today by exploring the innovations that are setting the stage for tomorrow. 'Future of Tech and Trends' is your essential guide to understanding the digital landscape and seizing the opportunities it presents. Don't miss out on this journey to the cutting edge of technology—your future could depend on it.




Data Science for Decision Makers


Book Description

Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key Features Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF eBook Book DescriptionAs data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements. By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.What you will learn Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectively Who this book is for This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.




Supply Chain Risk Management


Book Description

You don’t have to outrun the bear ... you just have to outrun the other guy. Often in business we only have to run a bit faster than our competitors to be successful. The same is true in risk management. While we would always like to anticipate and prevent risk from happening, when risk events do occur being faster, flexible, and more responsive than others can make a world of difference. Supply Chain Risk Management: An Emerging Discipline gives you the tools and expertise to do just that. While the focus of the book is on how you can react better and faster than the others, the text also helps you understand how to prevent certain risks from happening in the first place. The authors detail a risk management framework that helps you reduce the costs associated with risk, protect your brand and reputation, ensure positive financial outcomes, and develop visible, predictable, resilient, and sustainable supply chains. They provide access to a cloud-based, end-to-end supply chain risk assessment "Heat Map" that illustrates the maturity of the chain through the various stages. It should not come as a surprise to anyone that the world is a riskier place than it was just 15 years ago. A survey used to calculate the Allianz Risk Barometer recently concluded for the first time that supply chain risk is now the top concern of global insurance providers. For most organizations this new reality requires major adjustments, some of which will not be easy. This book helps you understand the emerging discipline called supply chain risk management. It explains the relevant concepts, supplies a wide variety of tools and approaches to help your organization stay ahead of its competitors, and takes a look at future directions in risk management—all in a clear, concise presentation that gives you practical advice and helps you develop actionable strategies.




Food Fraud Prevention


Book Description

This textbook provides both the theoretical and concrete foundations needed to fully develop, implement, and manage a Food Fraud Prevention Strategy. The scope of focus includes all types of fraud (from adulterant-substances to stolen goods to counterfeits) and all types of products (from ingredients through to finished goods at retail). There are now broad, harmonized, and thorough regulatory and standard certification requirements for the food manufacturers, suppliers, and retailers. These requirements create a need for a more focused and systematic approach to understanding the root cause, conducting vulnerability assessments, and organizing and implementing a Food Fraud Prevention Strategy. A major step in the harmonizing and sharing of best practices was the 2018 industry-wide standards and certification requirements in the Global Food Safety Initiative (GFSI) endorsed Food Safety Management Systems (e.g., BRC, FSSC, IFS, & SQF). Addressing food fraud is now NOT optional – requirements include implementing a Food Fraud Vulnerability Assessment and a Food Fraud Prevention Strategy for all types of fraud and for all products. The overall prevention strategy presented in this book begins with the basic requirements and expands through the criminology root cause analysis to the final resource-allocation decision-making based on the COSO principle of Enterprise Risk Management/ ERM. The focus on the root cause expands from detection and catching bad guys to the application of foundational criminology concepts that reduce the overall vulnerability. The concepts are integrated into a fully integrated and inter-connected management system that utilizes the Food Fraud Prevention Cycle (FFPC) that starts with a pre-filter or Food Fraud Initial Screening (FFIS). This is a comprehensive and all-encompassing textbook that takes an interdisciplinary approach to the most basic and most challenging questions of how to start, what to do, how much is enough, and how to measure success.