A location-inventory problem (LIP) aims to integrate strategic supply chain design decisions
with tactical and operational inventory management decisions. This study provides an …

Supply chain mathematical programming models mainly used for computer-aided decision-
making processes, have been widely used to date as an advanced support to the experts' …

This paper considers a stochastic facility location problem in which multiple capacitated
facilities serve customers with a single product, and a stockout probabilistic requirement is …

Spare parts are key operational assets in order to minimise unexpected equipment
downtimes that may significantly impact a company's results. The spare parts supply chain …

This paper deals with an inventory location problem with order quantity and stochastic
inventory capacity constraints, which aims to address strategic supply chain network design …

Most existing facility location models assume that the facility cost is either a fixed setup cost
or made up of a fixed setup and a problem-specific concave or submodular cost term. This …

Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP)
represents a challenging task in transportation science. Development of an adequate model …

This paper develops a mixed integer nonlinear programming formulation for the production–
inventory–location problem with correlated demands across the retailers. Several structural …

In this paper, we study a multisourcing supply network design problem, in which each
retailer faces uncertain demand and can source products from more than one distribution …

Purpose: Pre-positioning is a crucial choice in pre-disaster humanitarian logistics planning
that consists of deciding in advance how much aid and where should it be located to enable …