Journal ArticleDOI
The stochastic location model with risk pooling
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TLDR
A stochastic version of the location model with risk pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters described by discrete scenarios is presented.About:
This article is published in European Journal of Operational Research.The article was published on 2007-06-16. It has received 269 citations till now. The article focuses on the topics: Location model & Exact algorithm.read more
Citations
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Journal ArticleDOI
Facility location and supply chain management - A review
TL;DR: Basic features that facility location models must capture to support decision-making involved in strategic supply chain planning are identified and applications ranging across various industries are presented.
Journal ArticleDOI
Facility Location Under Uncertainty: A Review
TL;DR: A review of the literature on stochastic and robust facility location models can be found in this article, where the authors illustrate both the rich variety of approaches for optimization under uncertainty and their application to facility location problems.
Journal ArticleDOI
Supply chain risk management: a literature review
TL;DR: In this paper, a comprehensive review of the literature in supply chain risk management (SCRM) in the past decade is presented and a detailed review associated with research developments in SCRM, including risk definitions, risk types, risk factors and risk management/mitigation strategies.
Journal ArticleDOI
Identifying risk issues and research advancements in supply chain risk management
TL;DR: In this article, the authors investigate the research development in supply chain risk management (SCRM), which has shown an increasing global attention in recent years, and present a literature survey and ci...
References
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BookDOI
Introduction to Stochastic Programming
John R. Birge,Franois Louveaux +1 more
TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
Book
Supply Chain Management: Strategy, Planning and Operations
Sunil Chopra,Peter Meindl +1 more
TL;DR: In this paper, the authors present a framework to analyze the supply chain performance and predict demand and supply in an e-commerce e-business environment, and discuss the role of cross-functional drivers in the process.
Book
Inventory management and production planning and scheduling
TL;DR: In this paper, the authors present a framework for inventory management and production planning and scheduling with a focus on the most important (Class A) and routine (Class C) items.
Journal ArticleDOI
The Lagrangian Relaxation Method for Solving Integer Programming Problems
TL;DR: This paper is a review of Lagrangian relaxation based on what has been learned in the last decade and has led to dramatically improved algorithms for a number of important problems in the areas of routing, location, scheduling, assignment and set covering.
Book
Network and Discrete Location: Models, Algorithms, and Applications
TL;DR: The second edition of Network and Discrete Location: Models, Algorithms, and Applications as discussed by the authors provides a taxonomy of location problems and models, as well as a full range of exercises to equip readers with an understanding of the basic facility location model types.