A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning

References

• Abbasi, Babak, Masih Fadaki, Olga Kokshagina, Naima Saeed, and Prem Chhetri. 2020. “Modeling Vaccine Allocations in the COVID-19 Pandemic: A Case Study in Australia.” SSRN 3744520.
   Google Scholar
• Abbassi, Abderrahman, Said Kharraja, Ahmed El Hilali Alaoui, Jaouad Boukachour, and Denis Paras. 2021. “Multi-Objective Two-Echelon Location-Distribution of Non-Medical Products.” International Journal of Production Research 59 (17): 5284–5300.
   Web of Science ®Google Scholar
• Amap API. 2021. “Application Programming Interface of Amap.” Accessed April, 2021. https://lbs.amap.com/.
   Google Scholar
• Basciftci, Beste, Shabbir Ahmed, and Siqian Shen. 2021. “Distributionally Robust Facility Location Problem Under Decision-Dependent Stochastic Demand.” European Journal of Operational Research 292 (2): 548–561.
   Web of Science ®Google Scholar
• Ben-Tal, Aharon, Dick Den Hertog, Anja De Waegenaere, Bertrand Melenberg, and Gijs Rennen. 2013. “Robust Solutions of Optimization Problems Affected by Uncertain Probabilities.” Management Science 59 (2): 341–357.
   Web of Science ®Google Scholar
• Bender, Matthias, Jörg Kalcsics, and Anne Meyer. 2020. “Districting for Parcel Delivery Services–A Two-Stage Solution Approach and a Real-World Case Study.” Omega 96: Article ID 102283.
   PubMed Web of Science ®Google Scholar
• Bennett, Ashlea R. 2009. “Home Health Care Logistics Planning.” PhD diss., Georgia Institute of Technology.
   Google Scholar
• Benzarti, Emna, Evren Sahin, and Yves Dallery. 2013. “Operations Management Applied to Home Care Services: Analysis of the Districting Problem.” Decision Support Systems 55 (2): 587–598.
   Web of Science ®Google Scholar
• Bertsimas, Dimitris, Xuan Vinh Doan, Karthik Natarajan, and Chung-Piaw Teo. 2010. “Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion.” Mathematics of Operations Research 35 (3): 580–602.
   Web of Science ®Google Scholar
• Bertsimas, Dimitris, and Melvyn Sim. 2004. “The Price of Robustness.” Operations Research 52 (1): 35–53.
   Web of Science ®Google Scholar
• Bozkaya, Burcin, Erhan Erkut, and Gilbert Laporte. 2003. “A Tabu Search Heuristic and Adaptive Memory Procedure for Political Districting.” European Journal of Operational Research 144 (1): 12–26.
   Web of Science ®Google Scholar
• Brandeau, Margaret L. 2005. “Allocating Resources to Control Infectious Diseases.” In Operations Research and Health Care. International Series in Operations Research & Management Science, edited by M. L. Brandeau, F. Sainfort, and W. P. Pierskalla, Vol. 70. Boston, MA: Springer. https://doi.org/https://doi.org/10.1007/1-4020-8066-2_17.
   Google Scholar
• Büyüktahtakın, İ. Esra, Emmanuel des Bordes, and Eyyüb Y. Kıbış. 2018. “A New Epidemics–Logistics Model: Insights Into Controlling the Ebola Virus Disease in West Africa.” European Journal of Operational Research 265 (3): 1046–1063.
   Web of Science ®Google Scholar
• Caro, Felipe, Takeshi Shirabe, Monique Guignard, and Andrés Weintraub. 2004. “School Redistricting: Embedding GIS Tools with Integer Programming.” Journal of the Operational Research Society 55 (8): 836–849.
   Web of Science ®Google Scholar
• CDC Guidance for COVID-19. 2020. “Guidance for COVID-19.” Accessed July, 2021. https://www.cdc.gov/coronavirus/2019-ncov/communication/guidance.html.
   Google Scholar
• Chan, Ho Fai, Ahmed Skali, David A. Savage, David Stadelmann, and Benno Torgler. 2020. “Risk Attitudes and Human Mobility During the COVID-19 Pandemic.” Scientific Reports 10 (1): 1–13.
   PubMed Web of Science ®Google Scholar
• China COVID-19 Prevention Guideline. 2020. “State Council Issues Guideline on Regular COVID-19 Prevention.” Accessed July, 2021. http://english.www.gov.cn/policies/latestreleases/202005/08/content_WS5eb54d41c6d0b3f0e9497377.html.
   Google Scholar
• China Policy. 2020. “The Working Plan of Enlarging Capacity of Nucleic-Acid Testing Against COVID-19.” Accessed April, 2021. http://www.gov.cn/zhengce/content/2020-08/31/content_5538788.htm.
   Google Scholar
• Columbia Policy. 2020. “District of Columbia COVID-19 Testing Sites.” Accessed June, 2021. https://coronavirus.dc.gov/testing.
   Google Scholar
• Corominas, Albert. 2021. “A Model for Designing a Procurement-Inventory System As a Defence Against a Recurring Epidemic.” International Journal of Production Research: 1–14. doi:https://doi.org/10.1080/00207543.2021.1919779.
   Web of Science ®Google Scholar
• D'Amico, Steven J., Shoou-Jiun Wang, Rajan Batta, and Christopher M. Rump. 2002. “A Simulated Annealing Approach to Police District Design.” Computers & Operations Research 29 (6): 667–684.
   Web of Science ®Google Scholar
• Dasaklis, Thomas K., Costas P. Pappis, and Nikolaos P. Rachaniotis. 2012. “Epidemics Control and Logistics Operations: A Review.” International Journal of Production Economics 139 (2): 393–410.
   Web of Science ®Google Scholar
• Delage, Erick, and Yinyu Ye. 2010. “Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems.” Operations Research 58 (3): 595–612.
   Web of Science ®Google Scholar
• Diglio, Antonio, Stefan Nickel, and Francisco Saldanha-da Gama. 2020. “Towards a Stochastic Programming Modeling Framework for Districting.” Annals of Operations Research 292 (1): 249–285.
   Web of Science ®Google Scholar
• Ekici, Ali, Pınar Keskinocak, and Julie L. Swann. 2014. “Modeling Influenza Pandemic and Planning Food Distribution.” Manufacturing & Service Operations Management 16 (1): 11–27.
   Web of Science ®Google Scholar
• Esfahani, Peyman Mohajerin, and Daniel Kuhn. 2018. “Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations.” Mathematical Programming 171 (1): 115–166.
   Web of Science ®Google Scholar
• Garfinkel, Robert S., and George L. Nemhauser. 1970. “Optimal Political Districting by Implicit Enumeration Techniques.” Management Science 16 (8): B 24B–495 .
   Web of Science ®Google Scholar
• Gholami-Zanjani, Seyed Mohammad, Mohammad Saeed Jabalameli, Walid Klibi, and Mir Saman Pishvaee. 2021. “A Robust Location-Inventory Model for Food Supply Chains Operating Under Disruptions with Ripple Effects.” International Journal of Production Research 59 (1): 301–324.
   Web of Science ®Google Scholar
• Han, Jialin, Yaoguang Hu, Mingsong Mao, and Shuping Wan. 2020. “A Multi-Objective Districting Problem Applied to Agricultural Machinery Maintenance Service Network.” European Journal of Operational Research 287 (3): 1120–1130.
   Web of Science ®Google Scholar
• Hess, Sidney W., and Stuart A. Samuels. 1971. “Experiences with a Sales Districting Model: Criteria and Implementation.” Management Science 18 (4-Part-II): P 24P–41.
   Web of Science ®Google Scholar
• Kleywegt, Anton J., Alexander Shapiro, and Tito Homem-de Mello. 2002. “The Sample Average Approximation Method for Stochastic Discrete Optimization.” SIAM Journal on Optimization 12 (2): 479–502.
   Web of Science ®Google Scholar
• Lei, Hongtao, Gilbert Laporte, Yajie Liu, and Tao Zhang. 2015. “Dynamic Design of Sales Territories.” Computers & Operations Research 56: 84–92.
   Web of Science ®Google Scholar
• Lei, Hongtao, Rui Wang, and Gilbert Laporte. 2016. “Solving a Multi-Objective Dynamic Stochastic Districting and Routing Problem with a Co-Evolutionary Algorithm.” Computers & Operations Research 67: 12–24.
   Web of Science ®Google Scholar
• Lin, Meiyan, Kwai-Sang Chin, Chao Fu, and Kwok-Leung Tsui. 2017. “An Effective Greedy Method for the Meals-on-Wheels Service Districting Problem.” Computers & Industrial Engineering 106: 1–19.
   Web of Science ®Google Scholar
• Liu, Xin, Feng Chu, Feifeng Zheng, Chengbin Chu, and Ming Liu. 2021. “Distributionally Robust and Risk-Averse Optimisation for the Stochastic Multi-Product Disassembly Line Balancing Problem with Workforce Assignment.” International Journal of Production Research 1–19.
   Web of Science ®Google Scholar
• Liu, Kanglin, Qiaofeng Li, and Zhi-Hai Zhang. 2019. “Distributionally Robust Optimization of An Emergency Medical Service Station Location and Sizing Problem with Joint Chance Constraints.” Transportation Research Part B: Methodological 119: 79–101.
   Web of Science ®Google Scholar
• Long, Elisa F., Eike Nohdurft, and Stefan Spinler. 2018. “Spatial Resource Allocation for Emerging Epidemics: A Comparison of Greedy, Myopic, and Dynamic Policies.” Manufacturing & Service Operations Management 20 (2): 181–198.
   Web of Science ®Google Scholar
• Medlock, Jan, and Alison P. Galvani. 2009. “Optimizing Influenza Vaccine Distribution.” Science 325 (5948): 1705–1708.
   PubMed Web of Science ®Google Scholar
• Nakao, Hideaki, Siqian Shen, and Zhihao Chen. 2017. “Network Design in Scarce Data Environment Using Moment-Based Distributionally Robust Optimization.” Computers & Operations Research 88: 44–57.
   Web of Science ®Google Scholar
• Qiu, Ruozhen, Yue Sun, and Minghe Sun. 2021. “A Distributionally Robust Optimization Approach for Multi-Product Inventory Decisions with Budget Constraint and Demand and Yield Uncertainties.” Computers & Operations Research 126: Article ID 105081.
   Web of Science ®Google Scholar
• Ríos-Mercado, Roger Z. 2020. Optimal Districting and Territory Design. Vol. 284. Cham: Springer.
   Google Scholar
• Ríos-Mercado, Roger Z, and J. Fabián López-Pérez. 2013. “Commercial Territory Design Planning with Realignment and Disjoint Assignment Requirements.” Omega 41 (3): 525–535.
   Web of Science ®Google Scholar
• Singh, Sube, Ramesh Kumar, Rohit Panchal, and Manoj Kumar Tiwari. 2021. “Impact of COVID-19 on Logistics Systems and Disruptions in Food Supply Chain.” International Journal of Production Research 59 (7): 1993–2008.
   Web of Science ®Google Scholar
• Sodhi, ManMohan S., Christopher S. Tang, and Evan T. Willenson. 2021. “Research Opportunities in Preparing Supply Chains of Essential Goods for Future Pandemics.” International Journal of Production Research 1–16.
   Web of Science ®Google Scholar
• STAT. 2020. “STAT: State and Territory Alliance for Testing.” Accessed June, 2021. https://www.rockefellerfoundation.org/covid-19-response/stat/.
   Google Scholar
• Steiner, Maria Teresinha Arns, Dilip Datta, Pedro José Steiner Neto, Cassius Tadeu Scarpin, and José Rui Figueira. 2015. “Multi-Objective Optimization in Partitioning the Healthcare System of Parana State in Brazil.” Omega 52: 53–64.
   Web of Science ®Google Scholar
• Wang, Changjun, and Shutong Chen. 2020. “A Distributionally Robust Optimization for Blood Supply Network Considering Disasters.” Transportation Research Part E: Logistics and Transportation Review134: Article ID 101840.
   Web of Science ®Google Scholar
• WHO Situation Reports. 2021. “Weekly Epidemiological Update on COVID-19 – 29 June 2021.” Accessed July, 2021. https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19—29-june-2021.
   Google Scholar
• Wu, Yu, Wenzhan Jing, Jue Liu, Qiuyue Ma, Jie Yuan, Yaping Wang, Min Du, and Min Liu. 2020. “Effects of Temperature and Humidity on the Daily New Cases and New Deaths of COVID-19 in 166 Countries.” Science of the Total Environment 729: Article ID 139051.
   Web of Science ®Google Scholar
• Yang, Wei, Qiang Su, Samuel H. Huang, Qiugen Wang, Yanhong Zhu, and Ming Zhou. 2019. “Simulation Modeling and Optimization for Ambulance Allocation Considering Spatiotemporal Stochastic Demand.” Journal of Management Science and Engineering 4 (4): 252–265.
   Google Scholar
• Yu, Hao, Xu Sun, Wei Deng Solvang, and Xu Zhao. 2020. “Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights From the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China).” International Journal of Environmental Research and Public Health 17 (5): 1770.
   PubMed Web of Science ®Google Scholar
• Zhang, Peiyu, Yankui Liu, Guoqing Yang, and Guoqing Zhang. 2020a. “A Distributionally Robust Optimisation Model for Last Mile Relief Network Under Mixed Transport.” International Journal of Production Research 1–25.
   Web of Science ®Google Scholar
• Zhang, Peiyu, Yankui Liu, Guoqing Yang, and Guoqing Zhang. 2020b. “A Distributionally Robust Optimization Model for Designing Humanitarian Relief Network with Resource Reallocation.” Soft Computing 24 (4): 2749–2767.
   Web of Science ®Google Scholar