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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (2nd Edition) – eBook

SKU: supply-chain-disruption-management-using-stochastic-mixed-integer-programming-2e

Original price was: $115.60.Current price is: $17.00.

eBook details

  • Author: Tadeusz Sawik
  • File Size: 9 MB
  • Format: PDF
  • Length: 467 Pages
  • Publisher: Springer; 2nd edition
  • Publication Date: May 29, 2020
  • Language: English
  • ASIN: B089FTW8VT
  • ISBN-10: 3030448134, 3030448142
  • ISBN-13: 9783030448134, 9783030448141
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Description

**Book Description:**

Explore the intricate world of supply chain disruption management with the essential guide, *Supply Chain Disruption Management, 2nd Edition* (PDF). This comprehensive ebook delves into critical stochastic combinatorial optimization challenges faced in today’s fast-paced, customer-centric supply chains. With a particular emphasis on navigating and managing disrupted flows effectively, this edition introduces innovative strategies grounded in scenario-based stochastic mixed integer programming.

This enlightening text addresses diverse decision-making models, including risk-averse, risk-neutral, and mean-risk frameworks, tailored to effectively tackle the inherent risks associated with supply chain disruptions. Readers will uncover an integrated approach to disruption mitigation and recovery decision-making, as well as a novel, computationally efficient multi-portfolio strategy. This allows practitioners to make informed selections regarding primary and recovery supply portfolios, capacity allocations, demand forecasts, and much more.

The ebook is replete with real-world examples illustrating complex supply chain disruption situations, enhancing understanding through practical applications. Numerous propositions presented throughout the text contribute significantly to the reader’s comprehension of the characteristics and efficiencies of established stochastic mixed integer programming models. Furthermore, effective problem-solving techniques are demonstrated using advanced algebraic modeling languages like AMPL and CPLEX, as well as GUROBI and XPRESS solvers—all common tools in computational environments.

Serving as a vital resource for both practitioners and aspiring scholars, this monograph offers a structured layout that can function as an advanced course manual in supply chain risk management. End-of-chapter problems and exercises facilitate deeper exploration and application of the concepts covered, ensuring thorough mastery of the material.

The ebook is thoughtfully organized into six primary sections following an introductory chapter:
– **Part I** focuses on supply portfolio selection.
– **Part II** integrates supply portfolio selection with scheduling concerns.
– **Part III** emphasizes both integrated and equitably efficient supply portfolio selection alongside scheduling techniques.
– **Part IV** covers the collaboration between primary and recovery supply and demand portfolios in conjunction with production and inventory scheduling.
– Finally, **Part V** tackles the nuances of resilient supply portfolio selection.

**NOTE: This purchase exclusively includes the ebook *Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (2nd Edition)* in PDF format. Please be advised that access codes are not part of this offer.**

ISBNs: 978-3-12345-678-1, 978-3-98765-432-1.

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