干旱区生态环境知识资源中心(Arid): Integrating environmental and social impacts into optimal design of guayule and guar supply chains

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DOI	10.1016/j.compchemeng.2021.107223
	Integrating environmental and social impacts into optimal design of guayule and guar supply chains
	Zuniga Vazquez, Daniel A.; Sun, Ou; Fan, Neng; Sproul, Evan; Summers, Hailey M.; Quinn, Jason C.; Khanal, Sita; Gutierrez, Paul; Mealing, VeeAnder; Landis, Amy E.; Seavert, Clark; Teegerstrom, Trent; Evancho, Blase
通讯作者	Fan, N (corresponding author), Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA.
来源期刊	COMPUTERS & CHEMICAL ENGINEERING
ISSN	0098-1354
EISSN	1873-4375
出版年	2021
卷号	146
英文摘要	Guayule and guar are two desert-dwelling crops that can provide raw materials year-round for bioproducts such as rubber, resin, guar gum, and guar meal. Both crops are low-water-use, drought-tolerant, as well as heat-resistant, and these features enable their great potential for the agricultural economy in the Southwestern U.S. However, there exist challenges when considering the design of their supply chains in not only the economic benefits but also the environmental and social impacts, such as the process facility location and transportation problems. Furthermore, the optimal supply chains are heavily dependent on the amount of crop production, which can be measured by the adoption rate, i.e., the percentage of current crops in the field that is switched to either guayule or guar. In this paper, stochastic scenarios are utilized to capture the uncertainties of the adoption rates of each field. Afterward, a stochastic optimization is deployed to identify optimal decisions for facility locations, transportations from fields to facilities, and finally to customers, with a multi-objective approach to quantify the economic benefits (minimizing the costs of supply chains), environmental impacts (minimizing CO2 equivalent greenhouse gas emissions), and social impacts (maximizing the local accrued jobs). Based on the Geographic Information System for capturing field information and relevant factors, and deciding facility locations, the model is formulated as a complex large-scale mixed-integer linear optimization problem. For an efficient solution, the Benders Decomposition algorithm is implemented. The proposed approaches are evaluated based on the cases of two areas: Maricopa and Pinal counties in Arizona for the guayule supply chain, and Dona Ana County in New Mexico for the guar supply chain. (c) 2021 Elsevier Ltd. All rights reserved. Superscript/Subscript Available
英文关键词	Guayule Guar Facility location Multi-objective optimization Stochastic optimization Supply chain design
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000723393000005
WOS关键词	BIOMASS ; OPTIMIZATION ; UNCERTAINTY ; BIOENERGY ; MODEL
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Chemical
WOS研究方向	Computer Science ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373597
作者单位	[Zuniga Vazquez, Daniel A.; Sun, Ou; Fan, Neng] Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA; [Sproul, Evan; Summers, Hailey M.; Quinn, Jason C.] Colorado State Univ, Dept Mech Engn, Ft Collins, CO 80523 USA; [Khanal, Sita; Gutierrez, Paul] New Mexico State Univ, Dept Agr Econ & Agr Business, Las Cruces, NM 88003 USA; [Mealing, VeeAnder; Landis, Amy E.] Colorado Sch Mines, Dept Civil & Environm Engn, Golden, CO 80401 USA; [Seavert, Clark] Oregon State Univ, Dept Appl Econ, Corvallis, OR 97331 USA; [Teegerstrom, Trent] Univ Arizona, Dept Agr & Resource Econ, Tucson, AZ 85721 USA; [Evancho, Blase] Univ Arizona, Sch Plant Sci, Tucson, AZ 85721 USA
推荐引用方式 GB/T 7714	Zuniga Vazquez, Daniel A.,Sun, Ou,Fan, Neng,et al. Integrating environmental and social impacts into optimal design of guayule and guar supply chains[J],2021,146.
APA	Zuniga Vazquez, Daniel A..,Sun, Ou.,Fan, Neng.,Sproul, Evan.,Summers, Hailey M..,...&Evancho, Blase.(2021).Integrating environmental and social impacts into optimal design of guayule and guar supply chains.COMPUTERS & CHEMICAL ENGINEERING,146.
MLA	Zuniga Vazquez, Daniel A.,et al."Integrating environmental and social impacts into optimal design of guayule and guar supply chains".COMPUTERS & CHEMICAL ENGINEERING 146(2021).