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This book provides a comprehensive overview of how to strategically
manage the movement and storage of products or materials from any
point in the manufacturing process to customer fulfillment. Topics
covered include important tools for strategic decision making,
transport, packaging, warehousing, retailing, customer services and
future trends.
Many organizations find supply chain management an essential
prerequisite to building a sustainable competitive edge for their
services or products. While interest in SCM is enormous, lack of
theoretical frameworks and real world applications often
characterizes research in the field, and effective management of
the supply chain remains elusive. Supply Chain Sustainability and
Raw Material Management: Concepts and Processes is a comprehensive
and up-to-date resource for operations researchers, management
scientists, industrial engineers, and other business practitioners
and specialists looking for systemic and advanced discussions of
supply chain management. By presenting qualitative concepts,
quantitative models, and case studies, this book is a coherent
guide to creating long-term and sustainable performance for
organizations who want to compete in the global market.
A fail-safe supply network is designed to mitigate the impact of
variations and disruptions on people and corporations. This is
achieved by (1) developing a network structure to mitigate the
impact of disruptions that distort the network structure and (2)
planning flow through the network to neutralize the effects of
variations. In this monograph, we propose a framework, develop
mathematical models and provide examples of fail-safe supply
network design. We show that, contrary to current thinking as
embodied in the supply network literature, disruption management
decisions made at the strategic network design level are not
independent from variation management decisions made at the
operational level. Accordingly, we suggest that it is beneficial to
manage disruptions and variations concurrently in supply networks.
This is achieved by architecting fail-safe supply networks, which
are characterized by the following elements: reliability,
robustness, flexibility, structural controllability, and
resilience. Organizations can use the framework presented in this
monograph to manage variations and disruptions. Managers can select
the best operational management strategies for their supply
networks considering variations in supply and demand, and identify
the best network restoration strategies including facility
fortification, backup inventory, flexible production capacity,
flexible inventory, and transportation route reconfiguration. The
framework is generalizable to other complex engineered networks.
A fail-safe supply network is designed to mitigate the impact of
variations and disruptions on people and corporations. This is
achieved by (1) developing a network structure to mitigate the
impact of disruptions that distort the network structure and (2)
planning flow through the network to neutralize the effects of
variations. In this monograph, we propose a framework, develop
mathematical models and provide examples of fail-safe supply
network design. We show that, contrary to current thinking as
embodied in the supply network literature, disruption management
decisions made at the strategic network design level are not
independent from variation management decisions made at the
operational level. Accordingly, we suggest that it is beneficial to
manage disruptions and variations concurrently in supply networks.
This is achieved by architecting fail-safe supply networks, which
are characterized by the following elements: reliability,
robustness, flexibility, structural controllability, and
resilience. Organizations can use the framework presented in this
monograph to manage variations and disruptions. Managers can select
the best operational management strategies for their supply
networks considering variations in supply and demand, and identify
the best network restoration strategies including facility
fortification, backup inventory, flexible production capacity,
flexible inventory, and transportation route reconfiguration. The
framework is generalizable to other complex engineered networks.
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