SBAR

This is a repository to supplement the instruction manual for biomass supply chain and transportation.

Included files

SupplyChainTrans_Inst.pdf - Instruction Manual for the SBAR project.

Transportation - Data and source code for Chapter 2 in the manual — “Integrating Environmental and Social Impacts into Optimal Design of Guayule and Guar Supply Chains”¹²³⁴⁵.

Production Planning - Data and source code for Chapter 3 in the manual — “Optimal Production Planning and Machinery Scheduling for Semi-Arid Farms”⁶.

Harvesting - Data and source code for Chapter 4 in the manual — “Demand-Driven Harvest Planning and Machinery Scheduling”⁷⁸.

Useful links

• Sustainable Bioeconomy for Arid Regions Center of Excellence

  • https://sbar.arizona.edu/

• ArcGIS Pro

  • https://www.esri.com/en-us/arcgis/products/arcgis-pro/resources

• Duo Mobile

  • https://duo.com/product/multi-factor-authentication-mfa/duo-mobile-app
  • https://it.arizona.edu/documentation/install-duo-mobile-app-netid-plus#duo

• Cisco AnyConnect VPN

  • https://www.cisco.com/c/en/us/products/security/anyconnect-secure-mobilityclient/index.html
  • https://it.arizona.edu/service/ua-virtual-private-network-vpn

• High Performance Computing (HPC)

  • Service overview: https://it.arizona.edu/service/high-performance-computing
  • User Guide: https://public.confluence.arizona.edu/display/UAHPC/User+Guide

• IBM ILOG CPLEX Optimization Studio

  • https://www.ibm.com/analytics/cplex-optimizer

• Gurobi Optimizer

  • https://www.gurobi.com/

References

Footnotes

1. Sun, O., & Fan, N. (2020). A review on optimization methods for biomass supply chain: models and algorithms, sustainable issues, challenges and opportunities. Process Integration and Optimization for Sustainability, 4, 203-226. doi:10.1007/s41660-020-00108-9 ↩

2. Sproul, E., Summers, H., Seavert, C., Robbs, J., Khanal, S., Mealing, V., Landies, A., Fan, N., Sun, O., & Quinn, J. (2020). Integrated techno-economic and environmental analysis of guayule rubber production. Journal of Cleaner Production, 273, 122811. doi:10.1016/j.jclepro.2020.122811 ↩

3. Summers, H., Sproul, E., Seavert, C., Angadi, S., Robbs, J., Khanal, S., Gutierrez, P., Teegerstrom, T., Zuniga Vazquez, D., Fan, N., & Quinn, J. (2021). Economic and environmental analyses of incorporating guar into the American southwest. Agricultural Systems, 191, 103146. doi:10.1016/j.agsy.2021.103146 ↩

4. Zuniga Vazquez, D., Sun, O., Fan, N., Sproul, E., Summers, H., Quinn, J., Khanal, S., Gutierrez, P., Mealing, V., Landies, A., Seavert, C., Teegerstrom, T., & Evancho, B. (2021). Integrating environmental and social impacts into optimal design of guayule and guar supply chains. Computers & Chemical Engineering, 146, 107223. doi:10.1016/j.compchemeng.2021.107223 ↩

5. Zuniga Vazquez, D., Fan, N., Teegerstrom, T., Seavert, C., Summers, H., Sproul, E., & Quinn, J (2023). Optimal design of guayule and guar supply chains for the American Southwest, Proceedings of the IISE Annual Conference & Expo 2023, K. Babski-Reeves, B. Eksioglu, D. Hampton, eds., 5/2023. ↩

6. Zuniga Vazquez, D., Fan, N., Teegerstrom, T., Seavert, C., Summers, H., Sproul, E., & Quinn, J. (2021). Optimal production planning and machinery scheduling for semi-arid farms, Computers and Electronics in Agriculture, 187, 106288. doi: 10.1016/j.compag.2021.106288 ↩

7. Yao, S., Fan, N., Seavert, C., Teegerstrom, T. (2023) Demand-driven harvest planning and machinery scheduling for guayule, Operations Research Forum, 4(9): 1-25. doi: 10.1007/s43069-022-00192-2 ↩

8. Mahdavimanshadi, M., Yao, S., & Fan, N. (2024). Optimal Guayule Harvest Planning and Machinery Scheduling under Drought Scenarios in Semi-Arid Farms. Smart Agricultural Technology, 100420. doi: 10.1016/j.atech.2024.100420 ↩