A Review on Optimization Methods for Biomass Supply Chain: Models and Algorithms, Sustainable Issues, and Challenges and Opportunities

Sun, Ou; Fan, Neng

doi:10.1007/s41660-020-00108-9

Cited by 44 publications

(21 citation statements)

References 119 publications

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“…It is worth noticing that there are many mathematical optimization approaches (Andiappan V, 2017) from which it is possible to develop methodologies and propose models (Sun and Fan 2020 ) that offer us the best possible solution for a specific problem. Figure 1 shows a general classification of the different optimization procedures and global search methods (Coello-Coello et al 2002 ; Devillers 1996 ).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization Approach Based on Deterministic and Metaheuristic Techniques to Resource Management in Health Crisis Scenarios Under Uncertainty

Hernández-Pérez

Ponce-Ortega

2021

Process Integr Optim Sustain

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This paper presents an optimization strategy based on mathematical programming to solve resource management problems regarding hospitalization of sick patients, considering emergency scenarios, such as those that can occur in a pandemic. This optimization strategy is based on the use of efficient optimization tools in solving complex problems in which other strategies are not efficient. The mathematical modeling of epidemiological phenomena is a useful tool to predict the direction of a disease, as well as to adequately and timely manage the available resources and thus save as many lives as possible. This work uses a mathematical model formulation based on deterministic optimization developed in general algebraic modeling system (GAMS) environment. The main user interface has been developed in a Microsoft™ (MS) Excel worksheet, which is familiar to many users. The linking code to send values from MS Excel to GAMS has been programmed in visual basic for applications (VBA) and it uses GAMS data exchange (GDX) files. The proposed optimization methodology is applied to case studies based on data obtained from affected people by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the virus that causes coronavirus disease 2019 (COVID-19). The distances were taken as example from severely affected cities in the USA. The obtained results offer attractive alternatives for the specified objective function in an acceptable computation time.

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Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization Approach Based on Deterministic and Metaheuristic Techniques to Resource Management in Health Crisis Scenarios Under Uncertainty

Hernández-Pérez

Ponce-Ortega

2021

Process Integr Optim Sustain

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“…Ng et al [22] introduced a framework for optimizing mixture design in biorefining facilities. Sun and Fan [40] reviewed optimization methods for the supply chains associated with biorefineries. Notwithstanding the value of the aforementioned contributions, there are no published papers (to our knowledge) that provide a unified optimization-based approach to the screening, selection, and design of a combination of centralized and decentralized biorefineries while accounting for the technical, economic, environmental, and safety objectives.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to the Design of Centralized and Decentralized Biorefineries with Environmental, Safety, and Economic Objectives

et al. 2020

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Biorefineries provide economic, environmental, and social benefits towards sustainable development. Because of the relatively small size of typical biorefineries compared to oil and gas processes, it is necessary to evaluate the options of decentralized (or distributed) plants that are constructed near the biomass resources and product markets versus centralized (or consolidated) facilities that collect biomass from different regions and distribute the products to the markets, benefiting from the economy of scale but suffering from the additional transportation costs. The problem is further compounded when, in addition to the economic factors, environmental and safety aspects are considered. This work presents an integrated approach to the design of biorefining facilities while considering the centralized and decentralized options and the economic, environmental, and safety objectives. A superstructure representation is constructed to embed the various options of interest. A mathematical programming formulation is developed to transform the problem into an optimization problem. A new correlation is developed to estimate the capital cost of biorefineries and to facilitate the inclusion of the economic functions in the optimization program without committing to the type of technology or the size of the plant. A new metric called Total Process Risk is also introduced to evaluate the relative risk of the process. Life cycle analysis is applied to evaluate environmental emissions. The environmental and safety objectives are used to establish tradeoffs with the economic objectives. A case study is solved to illustrate the value and applicability of the proposed approach.

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“…Figure 4. Biomass Supply Chain Network(Zahraee, S.M., Shiwakoti, N., Stasinopoulos, P., 2020) Biomass supply chain management and optimization studies apply to network design problem within conversion, storage and transportation, scheduling problem within harvesting & collection, storage and transportation, facility location problem within pretreatment, storage and conversion, vehicle routing problem within harvesting, collection and transportation and lastly technology selection problem within pretreatment and conversion(Sun et al, 2020). Performance evaluation and optimization models are the two main approaches used in network modeling in biomass supply chain design.…”

mentioning

confidence: 99%

Sustainable Supply Chains for Bioeconomy: A Survey on Projects and Literature on Agro-Biomass

YAVUZ>

TÜMENBATUR

2022

Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi

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Bioeconomy, which is based on the replacement of materials and energy production based on fossil resources with biomaterials and/or biofuels or energy generation from biomass resources, has an important place in the circular economy. Sustainable supply chains are essential to meet bioeconomy’s full potential. This study aimed to provide a theoretical framework to make use of the untapped biomass potential in Turkey. Study focused on the literature fit for purpose for the further studies to be executed for building a holistic approach on developing biomass and bioenergy projects, alternative concepts and business models utilizing agro-biomass resources and developing a conceptual framework for sustainable supply chains for a circular bioeconomy. Research clearly shows that many projects are executed within the scope of bioeconomy in Europe, mostly with a collaborative sense, and are supported by funding mechanisms in line with EU policies. In Turkey, more regulatory policies should be developed, awareness should be raised, and application-oriented innovation projects should be developed, involving all sector stakeholders.

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A Review on Optimization Methods for Biomass Supply Chain: Models and Algorithms, Sustainable Issues, and Challenges and Opportunities

Cited by 44 publications

References 119 publications

Multi-objective Optimization Approach Based on Deterministic and Metaheuristic Techniques to Resource Management in Health Crisis Scenarios Under Uncertainty

Multi-objective Optimization Approach Based on Deterministic and Metaheuristic Techniques to Resource Management in Health Crisis Scenarios Under Uncertainty

An Integrated Approach to the Design of Centralized and Decentralized Biorefineries with Environmental, Safety, and Economic Objectives

Sustainable Supply Chains for Bioeconomy: A Survey on Projects and Literature on Agro-Biomass

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