{ "item_title" : "A Textbook of Modern Supply Chain Management", "item_author" : [" Asadullah "], "item_description" : "Why This Book Supply chains have moved from the back office to the boardroom. The disruptions of recent years, from the pandemic and container shortages to blocked canals, conflicts and cyberattacks, showed governments, companies and citizens how much modern life depends on the reliable flow of goods, information and money. At the same time, artificial intelligence, automation and digital platforms are transforming how supply chains are planned and run, while climate change and new regulations are making sustainability and human rights central supply chain responsibilities.Many existing textbooks treat these developments as add-ons to a traditional curriculum. This book takes a different approach. It presents the enduring foundations of supply chain management (strategy, network design, forecasting, inventory, sourcing, operations, logistics and performance measurement) and integrates analytics, AI, resilience and sustainability throughout, rather than confining them to a final chapter. Part IV devotes four full chapters to digital transformation, machine learning, generative and agentic AI, and blockchain and robotics, topics that most textbooks cover only briefly. Who This Book Is ForThe book is written for:undergraduate students in business, management, engineering and logistics taking courses in supply chain management, operations management or logistics;postgraduate and MBA students who need a rigorous yet practical treatment of supply chain strategy, analytics and technology;professionals preparing for certifications or moving into supply chain roles, and managers who want to understand how AI and digital technologies can be applied in their organisations;instructors seeking a complete, up-to-date text with worked examples, cases, data-driven exercises and code.No prior knowledge of supply chain management is assumed. Quantitative material is introduced step by step, using basic algebra and statistics, and every analytical method is illustrated with a fully worked example. Readers who wish to go further can use the Excel and Python implementations provided in the Analytics Toolkits and Appendix B. What Is Distinctive about This BookAI and analytics throughout. Every chapter includes an AI in Action feature, and dedicated chapters explain machine learning, generative AI, AI agents and responsible AI in language that supply chain managers can apply.Verified calculations and reproducible code. All worked examples were calculated and checked, and the Python code in the Analytics Toolkits reproduces the results printed in the text. Figures are drawn directly from these calculations.Resilience and sustainability as core topics. Risk, resilience, emissions measurement, circular economy, due diligence and ethics are treated in depth, reflecting their importance to modern supply chains and new regulations.A global perspective with a Middle Eastern lens. Examples range across the world, with particular attention to the Gulf region as a growing logistics hub between Asia, Europe and Africa, including free zones, ports, local content programmes and national transformation strategies.Industry and future perspectives. A chapter on industry-specific supply chains covers retail, pharmaceuticals, food, automotive, energy and humanitarian logistics, and the final chapter explores autonomous supply chains, quantum computing, the changing workforce and scenarios for 2035.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/816/112/9798161129555_b.jpg", "price_data" : { "retail_price" : "39.00", "online_price" : "39.00", "our_price" : "39.00", "club_price" : "39.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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