An Overview of Current Models and Approaches to Biomass Supply Chain Design and Management

被引：10
作者：
Melis E. [1 ]
Vincis A. [1 ]
Orrù P.F. [1 ]
机构：
[1] Department of Mechanical, Chemical and Materials Engineering, Via Marengo 2, Cagliari
来源：
Current Sustainable/Renewable Energy Reports | 2018年 / 5卷 / 2期
关键词：
Biomass; Design; Management; Optimisation; Simulation; Supply chain;
D O I：
10.1007/s40518-018-0108-6
中图分类号：
学科分类号：
摘要：
Purpose of Review: The paper focuses on the progress related to models and approaches for an optimal design and management of biomass supply chains. A literature review has been conducted, and previous review papers have been used as bases. Do most of the current models adopt the same decision level, mathematical methodology and type of objective of those identified by previous reviews? Are there any innovative approaches to revitalise the considered research topic? Recent Findings: Most of the works published in 2017 and in early 2018 reflect the past literature reviews; regrettably, few relevant advances have been achieved in the recent period to face up the major gaps. Innovative works apply Life Cycle Assessment, Multi-Criteria Analysis, CyberGIS or Agent-Based approaches to biomass supply chain optimisation. Summary: Future research should address, for instance, sustainability of biomass supply chains through a more comprehensive approach including economic, environmental, social and policy-related issues, integration of the decision levels to meet the needs of different stakeholders. © 2018, Springer International Publishing AG, part of Springer Nature.
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收藏
页码：138 / 149
页数：11
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共 68 条
  • [21] Grigoroudis E., Petridis K., Arabatsis G., RDEA: a recursive DEA based algorithm for the optimal design of biomass supply chain networks, Ren En, 71, pp. 113-122, (2014)
  • [22] Roni M.S., Eksioglu S.D., Searcy E., Jha K., A supply chain network design model for biomass co-firing in coal-fired power plants, Transp Res Part E, 61, pp. 115-134, (2014)
  • [23] Taskhiri M.S., Garbs M., Geldermann J., Sustainable logistics network for wood flow considering cascade utilisation, J Cle Pro, 110, pp. 25-39, (2016)
  • [24] Lin T., Rodriguez L.F., Davis S., Khanna M., Shastri Y., Grift T., Long S., Ting K.C., Biomass feedstock preprocessing and long-distance transportation logistics, GCB Bioe, 8, pp. 160-170, (2016)
  • [25] Paolucci N., Bezzo F., Tugnoli A., A two-tier approach to the optimization of a biomass supply chain for pyrolysis processes, Biomass Bioenergy, 84, pp. 87-97, (2016)
  • [26] Palander T., Applying dynamic multiple-objective optimization in inter-enterprise collaboration to improve the efficiency of energy wood transportation and storage, Scandin J For Research, 30, 4, pp. 346-356, (2015)
  • [27] Paulo H., Azcue X., Barbosa-Povoa A.P., Relvas S., Supply chain optimization of residual forestry biomass for bioenergy production: the case study of Portugal, Biomass Bioenergy, 83, pp. 245-256, (2015)
  • [28] d'Amore F., Bezzo F., Strategic optimisation of biomass-based energy supply chains for sustainable mobility, Comp Chem Eng, 87, pp. 68-81, (2016)
  • [29] Lim C.H., Lam H.L., Biomass supply chain optimisation via novel Biomass Element Life Cycle Analysis (BELCA), Appl En, 161, pp. 733-745, (2016)
  • [30] Hu H., Lin T., Wang S., Rodriguez L.F., A CyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization, Appl En, 203, pp. 26-40, (2017)
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