Abstract :
This paper considers the reliable multi-product multi-vehicle multi-type link
logistics network design problem (RMLNDP) with system disruptions, which is
concerned with facilities locating, transshipment links constructing, and also
allocating them to the customers in order to satisfy their demand with minimum
expected total cost (including locating costs, link constructing costs, and also
expected transshipment costs in normal and disruption conditions). The motivating
application of this class of problem is in multi-product, multi-vehicle, and multitype
link logistics network design regarding to system disruptions simultaneously.
In fact, the decision makers in this area are not only concerned with the facility
locating costs, link constructing costs, and logistical costs of the system but also by
focusing on the several system disruption states in order to be able to provide a
reliable sustainable multi configuration logistic network system. All facility
location plans, link construction plans and also link transshipment plans of
demands in the problem must be efficiently determined while considering the
several system disruptions. The problem is modeled as a mixed integer
programming (MIP) model. Also, a hybrid heuristic, based on linear programming
(LP) relaxation approach, is proposed. Computational experiments illustrate that
the provided algorithm will be able to substantially outperform the proposed
integer programming model in terms of both finding and verifying the efficient
optimal (or near optimal) solution at a reasonable processing time.
