Process systems engineering (PSE) has been an active research area for nearly seventy years and addresses multiple systems from the process industry. Among these are Process Supply Chains that can be described as interconnected sets of entities responsible for the sourcing, production and…
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The oil industry operates in a very uncertain marketplace, where uncertain conditions can engender oil production fluctuations, order cancellation, transportation delays, etc. Uncertainty may arise from several sources and inexorably affect its management by interfering in the associated…
Continue ReadingThis paper develops a mixed-integer linear programming (MILP) formulation to support the design and planning of agri-food supply chains (AFSC). The model focuses on the strategic-tactical decisions of capacity definition, selection of processing technologies, and the establishment of product flows…
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Nowadays the growing concerns about the environment and society in general led companies to invest in a sustainable development. In this way, companies’ design and planning decisions need to encompass simultaneously economic, environmental and social concerns. In addition, considering…
Continue ReadingSupply chain management is concerned with the efficient integration of interconnected entities so that products are sourced, manufactured and distributed in the right quantities, to the right locations and at the right time, thus satisfying customer requirements at minimal total system cost. Such systems…
Continue ReadingThis paper approaches the tactical distribution planning in the downstream oil supply chain (DOSC) under uncertain market conditions by using robust optimization (RO). The tactical RO model makes use of general polyhedral uncertainty sets, which encompass the so-called ramping constraints…
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The shortage of natural resources, the need to take into account societal considerations, the emergence of new government regulations and the necessity to maintain and/or improve the economic benefit of the supply chain, have created a growing awareness on academia as well as…
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This paper develops a multistage stochastic programming to optimally solve the distribution problem of refined products. The stochastic model relies on a time series analysis, as well as on a scenario tree analysis, in order to effectively deal and represent uncertainty in oil price and demand. The ARIMA…
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This paper studies the network design for a multi-product, multi-echelon and multi-period closed-loop supply chain (CLSC) accounting for decisions on the manufacture of new products and remanufactured versions of the new products. It is important to note that the design for…
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Uncertainties arise from several sources and may introduce diverse risks within the oil supply chain (OSC), hindering its management, besides raising costs and lowering margins. The purpose of this work is to present a new stochastic approach to deal with different sources of uncertainty, by…
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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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This work explores the problem of optimizing batch processes’ retrofit design pursuing an increase of production efficiency and efficacy while accounting for the associated processes’ sustainability, aspect that within the process industry is nowadays of increasing concern. Batch processes are often…
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This paper considers the optimal design and planning problem of a closed-loop supply chain (CLSC) where profit maximization is pursued while considering: adjustments in the network structure during the planning horizon providing flexibility to the network as well as uncertainty in supply and customer…
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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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This paper considers a multi-echelon inventory/distribution system formed by N-warehouses and M-retailers that manages a set of diverse products in a dynamic environment. Transshipment at both regional warehouses and retailers levels is allowed. A mixed integer linear programming model is…
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Considering key uncertainties and health policy options in the reorganization of a long-term care (LTC) network is crucial. This study proposes a stochastic mixed integer linear programming model for planning the delivery of LTC services within a network of care where such aspects are modeled in…
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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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