MILP

A Holistic MILP Model for Scheduling and Inventory Management of a Multiproduct Oil Distribution System

H. Mostafaei, P.M. Castro, S. Relvas, I. Harjunkoski

Omega (Published)
Aug, 2019

This paper addresses the optimal scheduling of an oil transportation system characterized by a straight multiproduct pipeline featuring multiple input and output nodes, where products are dispatched to local markets often by tanker trucks. We present a new continuous-time mixed integer…

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Multi-depot vehicle routing problem: a comparative study of alternative formulations

T.R.P. Ramos, M.I. Gomes, A.P. Barbosa-Póvoa

International Journal of Logistics Research and Applications (Published)
Jun, 2019

This paper proposes a two-commodity flow formulation for the MDVRP considering a heterogeneous vehicle fleet and maximum routing time. Its computational performance is compared to a traditional formulation, the so called three-index formulation, which is adapted to fit the same problem…

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From problem structuring to optimization: A multi-methodological framework to assist the planning of medical training

T. Cardoso-Grilo, M. Monteiro, M.D. Oliveira, M. Amorim-Lopes, A.P. Barbosa-Póvoa

European Journal of Operational Research (Published)
Mar, 2019

Medical training is an intricate and long process, which is compulsory to medical practice and often lasts up to twelve years for some specialties. Health stakeholders recognise that an adequate planning is crucial for health systems to deliver necessary care services. However, proper planning needs to…

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Integrating financial risk measures into the design and planning of closed-loop supply chains

S.R. Cardoso, A.P. Barbosa-Póvoa, S. Relvas

Computers and Chemical Engineering (Published)
Jan, 2016

In this paper, a mixed integer linear programming (MILP) formulation is proposed that integrates financial risk measures into the design and planning of closed-loop supply chains, considering demand uncertainty of final products. The goal is to maximize the supply chain expected net present value…

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Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty

C.M. Marques, S. Moniz, J.P. de Sousa, A.P. Barbosa-Póvoa

Computer Aided Chemical Engineering (Published)
Jan, 2016

This paper presents an innovative approach to solve the product-launch planning problem in the pharmaceutical industry, with uncertainty on the product demand and on clinical trials. A mixed integer linear programming (MILP) model, incorporating Monte Carlo simulation (MCS), was developed for…

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Planning of a multiproduct pipeline integrating blending and distribution

D. Dimas, V.V. Murata, S.M.S. Neiro, S. Relvas, A.P. Barbosa-Póvoa

Computer Aided Chemical Engineering (Published)
Jun, 2015

Pipelines play an important role in the oil supply chain linking different supply chain echelons and acting as one of the most sustainable, safe economical transportation mode. In this context, multiproduct pipeline scheduling is a key issue to be addressed in an optimized form, namely when…

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Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty

S.R. Cardoso, A.P. Barbosa-Povóa, S. Relvas, A.Q. Novais

Omega (Published)
Mar, 2015

The design and planning of resilient supply chains is a major challenge due to the increasing complexity of these systems that operate in a global market and therefore are more exposed to disruptions. In the present work a design and planning model that integrates demand uncertainty is…

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