Proximity \(\pi\) and remoteness \(\rho\) are respectively the minimum and the maximum, over the vertices of a connected graph, of the average distance f...

Given a linear program (LP ) with m constraints and n lower and upper bounded variables, any solution \(x^0\) to LP can be represented as a nonne...

In this article, we solve the pickup and delivery problem with time windows and last-in-first-out (LIFO) loading. LIFO loading minimizes handling while unloa...

Global asset optimization aims to simultaneously optimize mine production schedules, destination policies and the various processing streams in order to maxi...

This paper addresses the optimization of long-term mine production schedules, building upon a previous stochastic integer programming (SIP) formulation based...

Traditional short-term production planning is carried out in two separate sequential optimizations, typically based on mixed integer programming formulations...

Mining operations are highly affected by risk, commodity price and geology being acknowledged as the most relevant risk factors. Considering these uncertaint...

The optimization of open-pit mine production scheduling (OPMPS) is an intricate process due to its size and uncertainty of key input parameters. Over the las...

This paper presents a distributed and dynamic programming framework to the mining rate target tracking of multiple mines under financial uncertainty. A singl...

This paper presents a metaheuristic solution to the optimization of open pit long-term production scheduling with a stockpile and geological uncertainty. The...

The use of spatial high-order statistics has been previously proposed as an alternative to introduce richer information about complex spatial patterns in the...

The production scheduling of an open pit mine determines the optimal extraction sequencing that significantly impacts a mine's life as well as net present va...

Mining complexes contain multiple sequential activities that are strongly interrelated. Extracting the material from different sources may be seen as the fir...

We propose a new large scale optimization model, named TS_LAP, for the locomotive assignment problem (LAP), which relies on train strings or consist travel p...

The buffer sizing problem in unreliable production lines is a complex combinatorial optimization problem. In the formulation of the problem, the system consi...

While there has been a surge of articles on convergence diagnostic tools for MCMC on continuous stationary distributions and ordinal state spaces, Bayesian c...

We investigate geoengineering as a possible substitute for mitigation and adaptation measures to reduce damages from climate change. With the help of an inte...

Air traffic in Europe is predicted to increase considerably over the next decades. In this context, we present a study of the interactions between the costs...

The improved primal simplex (IPS) was recently developed by Elhalaloui et al. to take advantage of degeneracy when solving linear programs with the primal si...

We consider a dynamic closed-loop supply chain made up of one manufacturer and one retailer, with both players investing in a product recovery program to inc...