Stefan Nickel

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.

TL;DR: In this paper, existing approaches for quantitative supply chain risk management are reviewed by setting the focus on the definition of supply chain risks and related concepts, and a review of these approaches is presented.

TL;DR: In this paper, a mathematical modeling framework that captures many practical aspects of network design problems simultaneously but which have not received adequate attention in the literature has been proposed, including dynamic planning horizon, generic supply chain network structure, external supply of materials, inventory opportunities for goods, distribution of commodities, facility configuration, availability of capital for investments, and storage limitations.

TL;DR: This paper presents a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse network structures plausible in practice and proposes a multi-commodity formulation and uses a reverse bill of materials in order to capture component commonality among different products.

TL;DR: This book discusses location theory, mathematical properties of the Ordered Median Function, and linearizations and Reformulations in the problem statement and solution methods.