This work studies the development of a sustainable hydrogen infrastructure that supports transition towards low-carbon transport system in United Kingdom (UK). The future demand is forecasted over time using logistic diffusion model, which reaches 50% market share by 2070. problem solved an extension SHIPMod, optimisation-based framework consists multi-period spatially-explicit mixed-integer linear programming (MILP) formulation. optimisation model combines elements required throughout...

Pharmaceutical companies are undergoing major changes to cope with the new challenges of modern economy. The globalization business, diversity and complexity drugs, increasing tightness capital, diminishing protection provided by patents some factors driving these changes. All stages business value chain affected: from development drugs management manufacturing marketing networks. This paper describes an optimization-based approach selecting both a product introduction strategy capacity...

The E.U. has adopted a target of 10% energy for transportation coming from renewable sources, including biofuels, by 2020 to tackle the increasing greenhouse gas emissions problem and reduce dependency on fossil fuels. In this paper, mixed integer linear programming (MILP) models are presented optimal design bioethanol supply chain with objective minimizing total cost. aim optimize locations scales production plants, biomass flows between regions, number transport units required transfer...

Regression analysis is a machine learning approach that aims to accurately predict the value of continuous output variables from certain independent input variables, via automatic estimation their latent relationship data. Tree-based regression models are popular in literature due flexibility model higher order non-linearity and great interpretability. Conventionally, tree trained two-stage procedure, i.e. recursive binary partitioning employed produce structure, followed by pruning process...

Abstract Data classification is considered a fundamental research subject within the machine learning community. Researchers seek improvement of algorithms in not only accuracy, but also interpretability. Interpretable allow humans to easily understand decisions that model makes, which challenging for black box models. Mathematical programming-based have attracted considerable attention due their ability effectively compete with leading-edge terms both accuracy and Meanwhile, training...

The main objective of this paper is to give an example how expert systems techniques for distributed decision-making can be combined with contemporary numerical optimization the purposes supply chain and describe resulting software implementation. In paper, multi-agent modelling are applied simulate control a simple demand-driven network system, manufacturing component being optimized through mathematical programming. system measures performance effect different parameters in replenishment...

Hydrogen is widely recognised as an important option for future road transportation, but a widespread infrastructure must be developed if the potential hydrogen to achieved. This paper and related appendices which can downloaded Supplementary material present mixed-integer linear programming model (called SHIPMod) that optimises supply chains scenarios of fuel demand in UK, including spatial arrangement carbon capture storage infrastructure. In addition presenting number improvements on past...

Abstract The detection of community structure is a widely accepted means investigating the principles governing biological systems. Recent efforts are exploring ways in which multiple data sources can be integrated to generate more comprehensive model cellular interactions, leading biologically relevant communities. In this work, we propose mathematical programming cluster multiplex networks, i.e. network slices, each with different interaction type, determine single representative partition...