Personne : Nour El Fath, Mustapha
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A mathematically-based framework for evaluating the technical and economic potential of integrating bioenergy production within pulp and paper mills
2014-03-12, Nour El Fath, Mustapha, Machani, Mahdi, D'Amours, Sophie
To overcome declining markets and low-cost competition, Canadian pulp and paper (P&P) mills are considering the diversification of their product platform. Investing in bioenergy is emerging as a promising way to boost the sector. In this paper, we present a mathematical programming approach to evaluate the profitability of bioenergy investments in the case of a P&P mill, while assessing technical and associated economic risks. The mill, called the integrated forest biorefinery (IFBR), could produce a set of high-value bioproducts from biomass generated in the mill or supplied from outside. P&P activity generates residues, such as black liquor and pulp sludge, which could be used to produce bioenergy. P&P activity should then be well managed, by considering the possibility of temporarily stopping the production of P&P, while assuming the costs associated with the shutdowns. The objective is to develop a mathematically-based approach for investors and stakeholders, within the forest sector that aims to optimise the value creation network of the IFBR and to maximise the profitability of future investments in bioenergy, while optimising the existing P&P activity.
A scenario-based modelling approach to identify robust transformation strategies for pulp and paper companies
2015-06-19, Nour El Fath, Mustapha, Machani, Mahdi, D'Amours, Sophie
Canadian pulp and paper companies have been experiencing hard times during the last decade. The rising Canadian dollar, low-cost competition and the decline in number of conventional markets have led to several restructuring projects and shutdowns among pulp and paper mills. Setting up a transformation strategy is considered vital for those companies to overcome the crisis and achieve a sustainable competitive advantage. Several transformation pathways could be undertaken, ranging from process modernisation to product portfolio and market diversification. The increasingly volatile business environment makes strategic decisions a tough task. Our objective is then to help decision makers, within the pulp and paper industry, identify profitable transformation strategies that would resist the major driving forces affecting the companies’ competitiveness. A scenario-based modelling approach is presented to evaluate a set of transformation strategies under different trend-based future scenarios and to identify the most robust strategic options, allowing a given pulp and paper company to meet the future challenges. A mathematical model is developed to evaluate the profitability of each transformation strategy under different plausible future scenarios. Investing in high-value bioproducts such as Bioethanol is suggested as a viable transformation pathway. Opting for innovative pulp and paper products such moulded fibre packaging would be a promising strategy to consider within a multi-product diversification pathway. Mixed strategies are also evaluated and it is found that investing in bioethanol while modernising the P&P assets would be the most profitable and the less risky strategy, but with the highest investment cost among all strategies.
Optimization/simulation-based framework for the evaluation of supply chain management policies in the forest product industry
2012-12-13, Bouchard, Mathieu, Nour El Fath, Mustapha, Marier, Philippe, Gaudreault, Jonathan, Jerbi, Wassim, Lemieux, Sébastien, D'Amours, Sophie
This work describes a framework for the elaboration and evaluation of management policies for production and transportation supply chains in the forest product industry. The approach deals with the issue of coordination between the tactical and operational decision levels. First, we introduce LogiLab, a software system allowing to model the network and to optimize product flows in the supply chain. We than show how one can use this tactical aggregated plan to identify management policies that will guide day to day operations at the operational level. Finally, a discrete event simulation model allows assessing with more details what would be the impact of implementing these policies at the operational/execution level.