Strategic and tactical mathematical programming models within the crude oil supply chain context—A review

Sahebi, Hadi; Nickel, Stefan; Ashayeri, J.

doi:10.1016/j.compchemeng.2014.05.008

Cited by 83 publications

(54 citation statements)

References 85 publications

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“…When browsing for literature, it is evident that articles examining global trade factors in detail are scarce. Therefore, the present article is an effort to indigenize production equipment and final product export within the model and to include such factors as incoterms and foreign exchange rates as well as various types of customs duties (to understand its importance, interested readers are referred to [15]). It also introduces a new approach for calculating the export costs (see Eqs.…”

Section: Literature Shortcomingsmentioning

confidence: 99%

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

2020

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Scarcity of fossil fuels and their emissions have led energy policymakers to look for alternative renewable and clean energy sources. In line with this target, biomass is a promising alternative source for the generation of clean energy and the development of a sustainable society. The use of animal and agricultural wastes is one of the very promising renewable energy alternatives paving the way for a more sustainable energy network. Animal and agricultural wastes as biomass sources do not endanger food security and mitigate environmental impacts and may therefore considerably contribute to an appropriate waste management. As a result, converting animal and agricultural wastes to energy is a challenging issue that has attracted the attention of academic and industrial researchers. A multi-echelon multi-objective model is developed to design a sustainable supply chain for bioenergy generation through the anaerobic digestion process. The model maximizes economic and social objective functions, representing direct economic profits and positive social externalities such as job creation and economic development, respectively. Factors affecting the international supply chain include imports of intermediate production equipment, exports of a final product, international business terms applied, customs duties, and foreign exchange rates. Bioenergy and fertilizers are outputs considered in this study; the former to be converted to electricity in a biogas plant to meet domestic demands, and the latter to be exported. A case study for the Golestan province is used to evaluate the efficiency of the proposed model. The results support the potential for three biogas power plants in Gonbad-e-Kavoos, with an annual production capacity of about 1000 tons of fertilizer and an electricity supply for 101,556 households per month. There is still a broad field of promising avenues for future research. Studying uncertainty in different supply chain parameters and using robust optimization to deal with uncertainties are recommended approaches.

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Section: Literature Shortcomingsmentioning

confidence: 99%

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

2020

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“…Chew et al present a game theoretic model for water integration in industrial parks . Recent reviews of supply chain optimization literature by Papageorgiou and Sahebi, Nickel, and Ashayeri identify few papers taking advantage of game theoretic principles, and of the research identified in those reviews and here, none make use of dynamic game theoretic models. The model used by Tominac and Mahalec, for example, is a multiperiod planning problem formulated under a static Cournot game objective, precluding the ability of competitors to react to temporally changing market conditions.…”

Section: Introductionmentioning

confidence: 99%

A dynamic game theoretic framework for process plant competitive upgrade and production planning

Tominac

Mahalec

2017

AIChE Journal

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A dynamic potential game theoretic production planning framework is presented in which production plants are treated as individual competing entities and competition occurs dynamically over a discrete finite time horizon. A modified Cournot oligopoly with sticky prices provides the basis for dynamic game theoretic competition in a multimarket nonlinear and nonconvex production planning model wherein market price adapts to a value that clears cumulative market supply. The framework is used to investigate a petrochemical refining scenario in which a single inefficient refiner faces elimination by its competitors; we demonstrate that there exist conditions under which the threatened refiner may upgrade itself to become competitive and escape the threat, or alternatively in which the threat of elimination is illegitimate and the refiner is effectively safe in the given market configuration. Globally optimal dynamic Nash equilibrium production trajectories are presented for each case. © 2017 American Institute of Chemical Engineers AIChE J, 64: 916–925, 2018

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“…As presented in many works recently published on the topic, crude oil supply chain management has been progressively receiving more attention [1]. Furthermore, given the important momentum gained by renewable fuels in substituting fossil based energy, the US Department of Energy (DOE) considers pyrolysis as a promissory mode of obtaining biofuel [2].…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

“…Sahebi et al [1] proposed the following five major future research lines: (1) incorporating uncertainty into the model design; (2) focusing on system-wide modeling and optimization; (3) incorporating economic, environmental and social measures into the model; (4) addressing computational complexities and developing large-scale case studies for nationwide analysis; and (5) developing models that can be easily adapted according to the interest of specific stakeholders such as biomass suppliers and refinery owners. Finally, in discussing techniques to address uncertainty, they proposed a simulation technique for BSC optimization.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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Strategic planning of biodiesel supply chain

Cáceres

2017

IyU

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Objective: A stochastic bi-objective Mixed Integer Problem -MIP model of biodiesel supply chain networks is presented, ultimately intended to support strategic decisions of stakeholders. Materials and Methods:The bi-objective MIP model aims to minimize the total cost and environmental impact of five chain echelons, taking into consideration the following constraints: economies of scale, location of facilities, production capacity, raw material supply, product demand, bill of materials and mass balance. The solution procedure resorts to chance constraints, valid constraints and the ε-constraint method. Results and Discussion:The CPU times for the optimal solution of the problem instances show very good values. Computational experiments allowed assessing the performance of the solution procedure. Conclusion:The current approach to the modeling of the biodiesel supply chain may serve as the basis of future similar works and associated solution procedures, thus facilitating decision-making at different supply chain stages. The approach fosters the development of new solution approaches such as adequate acceleration; heuristics and meta-heuristics; branch and cut methods; and Lagrangian, Benders and Danzing-Wolfe decompositions. These new approaches are intended to allow comparisons in terms of computational performance level, optimality gap, CPU time and memory usage.

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Strategic and tactical mathematical programming models within the crude oil supply chain context—A review

Cited by 83 publications

References 85 publications

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

A sustainable biomass network design model for bioenergy production by anaerobic digestion technology: using agricultural residues and livestock manure

A dynamic game theoretic framework for process plant competitive upgrade and production planning

Strategic planning of biodiesel supply chain

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