Asrat Mekonnen Gobachew - Supply Chain Performance Optimization under Demand Uncertainty

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Über das Buch

– in englischer Sprache –

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This book presents a comprehensive model for businesses to optimize their supply chain performance. It focuses on balancing supply chain costs and customer service levels in distribution networks.

The book takes readers on a transformative journey through the world of supply chain optimization, starting with a deterministic bi-objective model and expanding to encompass the dynamic reality of today's supply chain operations. It introduces methods to handle the unpredictable nature of demand through a scenario-based optimization approach. The book showcases the model's real-world applicability through a compelling case study in the context of a pharmaceutical supply chain within a developing country.

The study includes an in-depth literature review, a meticulous assessment of the current landscape, and a keen focus on financial and non-financial metrics. The book prioritizes supply chain cost efficiency and customer service levels, offering insights into minimizing establishment, handling, and transportation costs while ensuring unfaltering demand fulfilment. The model's strength lies in its ability to unveil optimal trade-offs and navigate the labyrinth of demand uncertainty, resulting in substantial cost reductions without compromising customer service levels.

In addition to aligning supply chain cost management with the pursuit of customer service levels, the book delves into the intricacies of distribution centre location, transportation planning, and order fulfilment. It enhances supply chain efficiency and cost-effectiveness, unlocking opportunities for businesses across sectors, particularly in critical domains like healthcare.

The book is adaptable to various scenarios, making it a practical tool for decision-makers in diverse industries. [...]


Supply Chain Performance, Vertriebsnetzwerk, Szenariobasierte Modellierung, Nachfrageunsicherheit, Pharmazeutische Lieferkette, Supply Chain Management, Uncertainty

  • Autor*in
    Asrat Mekonnen Gobachew
  • Seiten
  • Jahr
    Hamburg 2024
  • ISBN
  • Fachdisziplin
    Marketing & Absatz
  • Schriftenreihe
    QM – Quantitative Methoden in Forschung und Praxis
  • ISSN
  • Band
  • Fachbereich


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