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The Theory, Methods and Application of Managing Digital Supply Chains
Detailing the diverse aspects of digitalization in supply chain management, Digital Supply Chain Management helps business managers harness the cutting edge, guiding those early in their careers who seek a challenging new path whilst informing top-level managers who have their eye on the future.
Supply Chain Mapping, Sustainability, and Industry 4.0
During the COVID-19 pandemic, supply chain (SC) mapping appeared as one of the critical SC capabilities that could make a striking difference in organizations’ SC performance and improve sustainable operations. Despite its crucial role in responding to SC disruptions, there is a void in the literature on this topic. This book aims to address this gap demonstrating the importance of SC mapping, sustainability in the Industry 4.0 era. The book explores how SC mapping contributes to sustainability from social, economic, and environmental perspectives, the role of SC mapping in upstream, midstream, and downstream SC sustainability, as well as the role of technology advancement and the impact of blockchain and Industry 4.0 in SC mapping. Adopting a multidisciplinary approach, this edited collection features international authors from a diverse range of disciplines including SC management, operations management, technology and innovation management, and sustainability. The book will be a valuable resource for global scholars, researchers, and upper-level students across operations, SC management, and logistics, as well as engineering and technology management.
Computational Intelligence Techniques for Sustainable Supply Chain Management
Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sus...
Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development...
Customer Service Supply Chain Management
DRIVE MORE VALUE FROM YOUR SUPPLY CHAIN BY IMPROVING THE WAY YOU MANAGE CUSTOMER SERVICE Optimize linked interactions across your entire customer service environment Implement customer-centric strategies, including customer-based supply chain segmentation and lifelong customer logistics management Use the business-driven customer service model to align customer services management to business goals, and measure your progress Customer Service Supply Chain Management offers expert guidance for managing your supply chain to deliver more innovative and profitable customer experiences. Pioneering supply chain management experts Alexandre Oliveira and Anne Gimeno provide a comprehensive overview o...
A Guide to Supply Chain Management
Managing supply networks for innovation and competitive advantage: Concepts, models, roadmaps, and more Capture, organize, and fully utilize your #1 supply chain resource: knowledge Systematically improve strategic, tactical, and operational decision-making Improve your capabilities for managing and competing on supply networks Best-practice supply chain management transcends yesterday's functional silos. Today, it requires a comprehensive approach that recognizes supply networksas the core driver of business value. To maximize and sustain value creation in fast-changing supply networks, practitioners must properly address an even deeper issue: knowledge. In A Guide to Supply Chain Managemen...
Supply Chain Management Strategy
Drive more value from your supply chain by choosing and implementing the right models and strategies. Supply Chain Management Strategy offers expert guidance for comparing and choosing models, implementing governance, and strategizing to enable sales growth, margin growth, and superior customer experience. Lead authored by pioneering supply chain management expert Alexandre Oliveira, this guide focuses on driving maximum business value from modern supply chain strategies and models. Oliveira and senior supply chain executive Anne Gimeno thoroughly introduce the topic, offer detailed descriptions of each relevant model, and present modern applications and best practices drawn from the experie...
Managing Supply Chain Networks
USE KNOWLEDGE AND INNOVATION TO MAXIMIZE VALUE FROM TODAY’S SOPHISTICATED, FAST-CHANGING SUPPLY NETWORKS Build integrated, complementary supply networks that work together to win Accelerate the cycle from needs identification to product/service launch to customer experience Create long-term strategy adherence to the business that competes in fluid environments Leading companies are developing powerful new techniques for managing today’s complex, fluid supply networks. Now, Alexandre Oliveira and Anne Gimeno help you apply these techniques to embed greater agility, resilience, speed, and intelligence throughout your own supply chain network. Oliveira and Gimeno review how supply chains ha...
Multi-Criteria Methods and Techniques Applied to Supply Chain Management
This book intends to be a complimentary reference for graduate and undergraduate courses of Business and Engineering. Readers not familiar with Multi-Criteria Decision Making (MCDM) and supply chain management (SCM) may have a first glance, reading isolate chapters. Moreover, the sequential order from Chapters 1 to 8 may be more instructive. Readers with expertise on MCDM or SCM will find interesting applications or proposals. The book also presents a systematic literature review, which confirms the leadership of analytic hierarchy process (AHP) and data envelopment analysis (DEA).
