Bi-objective multi-resource scheduling problem for emergency relief operations

References

• Abounacer, R., M. Rekik, and J. Renaud. 2014. “An Exact Solution Approach for Multi-Objective Location–Transportation Problem for Disaster Response.” Computers & Operations Research 41 (0):83–93.
   Google Scholar
• Adams, L. M. 2009. “Exploring the Concept of Surge Capacity.” Online Journal of Issues in Nursing 14 (2). DOI: 10.3912/OJIN.Vol14No02PPT03
   Google Scholar
• Afshar, A., and A. Haghani. 2012. “Modeling Integrated Supply Chain Logistics in Real-Time Large-Scale Disaster Relief Operations.” Socio-Economic Planning Sciences 46 (4):327–38.
   Google Scholar
• Aït-Kadi, D., J. B. Menye, and H. Kane. 2010. “Resources Assignment Model in Maintenance Activities Scheduling.” International Journal of Production Research 49 (22):6677–89.
   Web of Science ®Google Scholar
• Akpan, E. O. P. 2000. “Resource Smoothing: A Cost Minimization Approach.” Production Planning & Control 11 (8):775–80.
   Web of Science ®Google Scholar
• Allahverdi, A., C. T. Ng, T. C. E. Cheng, and M. Y. Kovalyov. 2008. “A Survey of Scheduling Problems with Setup Times or Costs.” European Journal of Operational Research 187 (3):985–1032.
   Web of Science ®Google Scholar
• Aringhieri, R., M. E. Bruni, S. Khodaparasti, and J. T. van Essen. 2017. “Emergency Medical Services and beyond: Addressing New Challenges through a Wide Literature Review.” Computers & Operations Research 78:349–68.
   Web of Science ®Google Scholar
• Artigues, C., and O. Roubellat. 2002. “An Efficient Algorithm for Operation Insertion in a Multi-Resource Job-Shop Schedule with Sequence-Dependent Setup Times.” Production Planning & Control 13 (2):175–86.
   Web of Science ®Google Scholar
• Bachlaus, M., M. K. Tiwari, and F. T. S. Chan. 2009. “Multi-Objective Resource Assignment Problem in a Product-Driven Supply Chain Using a Taguchi-Based DNA Algorithm.” International Journal of Production Research 47 (9):2345–71.
   Web of Science ®Google Scholar
• Bektas, T. 2006. “The Multiple Traveling Salesman Problem: An Overview of Formulations and Solution Procedures.” Omega 34 (3):209–19.
   Web of Science ®Google Scholar
• Bodaghi, B., and E. Palaneeswaran. 2016. An optimization model for scheduling emergency operations with multiple teams. Paper presented at the Proceedings of the International Conference on Industrial Engineering and Operations Management, Detroit, Michigan.
   Google Scholar
• Bozorgi-Amiri, A., M. S. Jabalameli, and S. M. J. Mirzapour Al-e-Hashem. 2013. “A Multi-Objective Robust Stochastic Programming Model for Disaster Relief Logistics under Uncertainty.” OR Spectrum 35 (4):905–33.
   Web of Science ®Google Scholar
• Brucker, P., A. Drexl, R. Möhring, K. Neumann, and E. Pesch. 1999. “Resource-Constrained Project Scheduling: Notation, Classification, Models, and Methods.” European Journal of Operational Research 112 (1):3–41.
   Web of Science ®Google Scholar
• Cakici, E., and S. J. Mason. 2007. “Parallel Machine Scheduling Subject to Auxiliary Resource Constraints.” Production Planning & Control 18 (3):217–25.
   Web of Science ®Google Scholar
• Campbell, A. M., D. Vandenbussche, and W. Hermann. 2008. “Routing for Relief Efforts.” Transportation Science 42 (2):127–45.
   Web of Science ®Google Scholar
• Caunhye, A. M., X. Nie, and S. Pokharel. 2012. “Optimization Models in Emergency Logistics: A Literature Review.” Socio-Economic Planning Sciences 46 (1):4–13.
   Google Scholar
• Celano, G., A. Costa, and S. Fichera. 2008. “Scheduling of Unrelated Parallel Manufacturing Cells with Limited Human Resources.” International Journal of Production Research 46 (2):405–27.
   Web of Science ®Google Scholar
• Chan, F. T. S., T. C. Wong, and L. Y. Chan. 2006. “Flexible Job-Shop Scheduling Problem under Resource Constraints.” International Journal of Production Research 44 (11):2071–89.
   Web of Science ®Google Scholar
• Depuy, G. W., and G. E. Whitehouse. 2001. “A Simple and Effective Heuristic for the Resource Constrained Project Scheduling Problem.” International Journal of Production Research 39 (14):3275–87.
   Web of Science ®Google Scholar
• Eckstein, A. L. H., and T. R. Rohleder. 1998. “Incorporating Human Resources in Group Technology/Cellular Manufacturing.” International Journal of Production Research 36 (5):1199–222.
   Web of Science ®Google Scholar
• Ehrgott, M., and X. Gandibleux. 2000. “A Survey and Annotated Bibliography of Multiobjective Combinatorial Optimization.” OR-Spektrum 22 (4):425–60.
   Google Scholar
• Falasca, M., and C. Zobel. 2012. “An Optimization Model for Volunteer Assignments in Humanitarian Organizations.” Socio-Economic Planning Sciences 46 (4):250–60.
   Google Scholar
• Gutjahr, W. J., and N. Dzubur. 2016. “Bi-Objective Bilevel Optimization of Distribution Center Locations considering User Equilibria.” Transportation Research Part E: Logistics and Transportation Review 85:1–22.
   Web of Science ®Google Scholar
• Haghani, A., and S.-C. Oh. 1996. “Formulation and Solution of a Multi-Commodity, Multi-Modal Network Flow Model for Disaster Relief Operations.” Transportation Research Part A: Policy and Practice 30 (3):231–50. doi:
   Web of Science ®Google Scholar
• Hartmann, S., and D. Briskorn. 2010. “A Survey of Variants and Extensions of the Resource-Constrained Project Scheduling Problem.” European Journal of Operational Research 207 (1):1–14.
   Web of Science ®Google Scholar
• Hwang, N.-C. R., and K. Kogan. 2003. “Dynamic Approach to Human Resources Planning for Major Professional Companies with a Peak-Wise Demand.” International Journal of Production Research 41 (6):1255–71.
   Web of Science ®Google Scholar
• Jotshi, A., Q. Gong, and R. Batta. 2009. “Dispatching and Routing of Emergency Vehicles in Disaster Mitigation Using Data Fusion.” Socio-Economic Planning Sciences 43 (1):1–24.
   Google Scholar
• Karsu, Ö., and M. Azizoğlu. 2012. “The Multi-Resource Agent Bottleneck Generalised Assignment Problem.” International Journal of Production Research 50 (2):309–24.
   Web of Science ®Google Scholar
• Katz, A., A. B. Staiti, and K. L. McKenzie. 2006. “Preparing for the Unknown, Responding to the Known: Communities and Public Health Preparedness.” Health Affairs (Project Hope) 25 (4):946–57.
   PubMed Web of Science ®Google Scholar
• Klein, R. 2000. “Project Scheduling with Time-Varying Resource Constraints.” International Journal of Production Research 38 (16):3937–52.
   Web of Science ®Google Scholar
• Laporte, G. 2010. “A Concise Guide to the Traveling Salesman Problem.” Journal of the Operational Research Society 61 (1):35–40.
   Web of Science ®Google Scholar
• Lassiter, K., A. Khademi, and K. M. Taaffe. 2015. “A Robust Optimization Approach to Volunteer Management in Humanitarian Crises.” International Journal of Production Economics 163:97–111.
   Web of Science ®Google Scholar
• Lee, C.-Y., and L. Lei. 2001. “Multiple-Project Scheduling with Controllable Project Duration and Hard Resource Constraint: Some Solvable Cases.” Annals of Operations Research 102 (1/4):287–307.
   Google Scholar
• Lee, K., L. Lei, M. Pinedo, and S. Wang. 2013. “Operations Scheduling with Multiple Resources and Transportation Considerations.” International Journal of Production Research 51 (23–24):7071–90.
   Web of Science ®Google Scholar
• Lei, L., M. Pinedo, L. Qi, S. Wang, and J. Yang. 2015. “Personnel Scheduling and Supplies Provisioning in Emergency Relief Operations.” Annals of Operations Research 235 (1):1–29.
   Web of Science ®Google Scholar
• McHugh, M. D. 2010. “Hospital Nurse Staffing and Public Health Emergency Preparedness: Implications for Policy.” Public Health Nursing 27 (5):442–9.
   PubMed Web of Science ®Google Scholar
• Najafi, M., K. Eshghi, and W. Dullaert. 2013. “A Multi-Objective Robust Optimization Model for Logistics Planning in the Earthquake Response Phase.” Transportation Research Part E: Logistics and Transportation Review 49 (1):217–49.
   Web of Science ®Google Scholar
• Oran, A., K. C. Tan, B. H. Ooi, M. Sim, and P. Jaillet. 2012. "Location and Routing Models for Emergency Response Plans with Priorities." In Future Security: 7th Security Research Conference, Future Security 2012, Bonn, Germany, September 4–6, 2012. Proceedings, edited by Nils Aschenbruck, Peter Martini, Michael Meier, and Jens Tölle, 129–40. Berlin, Heidelberg: Springer Berlin Heidelberg.
   Google Scholar
• Özdamar, L., and O. Demir. 2012. “A Hierarchical Clustering and Routing Procedure for Large Scale Disaster Relief Logistics Planning.” Transportation Research Part E: Logistics and Transportation Review 48 (3):591–602.
   Web of Science ®Google Scholar
• Özdamar, L., E. Ekinci, and B. Küçükyazici. 2004. “Emergency Logistics Planning in Natural Disasters.” Annals of Operations Research 129 (1–4):217–45.
   Web of Science ®Google Scholar
• Przybylski, A., X. Gandibleux, and M. Ehrgott. 2008. “Two Phase Algorithms for the Bi-objective Assignment Problem.” European Journal of Operational Research 185 (2):509–33.
   Web of Science ®Google Scholar
• Raith, A., and M. Ehrgott. 2009. “A Two-Phase Algorithm for the Biobjective Integer Minimum Cost Flow Problem.” Computers & Operations Research 36 (6):1945–54.
   Web of Science ®Google Scholar
• Rath, S., M. Gendreau, and J. G. Walter. 2015. “Bi-objective Stochastic Programming Models for Determining Depot Locations in Disaster Relief Operations.” International Transactions in Operational Research 23 (6):997–1023.
   Web of Science ®Google Scholar
• Robinson, K. R., and S. A. Moses. 2006. “Effect of Granularity of Resource Availability on the Accuracy of Due Date Assignment.” International Journal of Production Research 44 (24):5391–414.
   Web of Science ®Google Scholar
• Rolland, E., R. A. Patterson, K. Ward, and B. Dodin. 2010. “Decision Support for Disaster Management.” Operations Management Research 3 (1–2):68–79.
   Web of Science ®Google Scholar
• Sahin, H., B. Y. Kara, and O. E. Karasan. 2016. “Debris Removal during Disaster Response: A Case for Turkey.” Socio-Economic Planning Sciences 53:49–59.
   Web of Science ®Google Scholar
• Schryen, G., G. Rauchecker, and T. Comes. 2015. “Resource Planning in Disaster Response.” Review of Business & Information Systems Engineering 57 (4):243–59.
   Web of Science ®Google Scholar
• Sheu, J.-B. 2007. “An Emergency Logistics Distribution Approach for Quick Response to Urgent Relief Demand in Disasters.” Transportation Research Part E: Logistics and Transportation Review 43 (6):687–709.
   Web of Science ®Google Scholar
• Talarico, L., F. Meisel, and K. Sörensen. 2015. “Ambulance Routing for Disaster Response with Patient Groups.” Computers & Operations Research 56:120–33.
   Web of Science ®Google Scholar
• Tormos, P., and A. Lova. 2003. “An Efficient Multi-Pass Heuristic for Project Scheduling with Constrained Resources.” International Journal of Production Research 41 (5):1071–86.
   Web of Science ®Google Scholar
• Tzeng, G.-H., H.-J. Cheng, and T. D. Huang. 2007. “Multi-Objective Optimal Planning for Designing Relief Delivery Systems.” Transportation Research Part E: Logistics and Transportation Review 43 (6):673–86.
   Web of Science ®Google Scholar
• Ulungu, E. L., and J. Teghem. 1995. “The Two Phases Method: An Efficient Procedure to Solve Bi-objective Combinatorial Optimization Problems.” Foundations of Computing and Decision Sciences 20 (2):149–65.
   Google Scholar
• Van De Vonder, S., E. Demeulemeester, W. Herroelen, and R. Leus. 2006. “The Trade-off between Stability and Makespan in Resource-Constrained Project Scheduling.” International Journal of Production Research 44 (2):215–36.
   Web of Science ®Google Scholar
• Wang, H., L. Du, and S. Ma. 2014. “Multi-Objective Open Location-Routing Model with Split Delivery for Optimized Relief Distribution in Post-Earthquake.” Transportation Research Part E: Logistics and Transportation Review 69:160–79.
   Web of Science ®Google Scholar
• Wex, F., G. Schryen, S. Feuerriegel, and D. Neumann. 2014. “Emergency Response in Natural Disaster Management: Allocation and Scheduling of Rescue Units.” European Journal of Operational Research 235 (3):697–708.
   Web of Science ®Google Scholar
• Wong, C. S., F. T. S. Chan, and S. H. Chung. 2013. “A Joint Production Scheduling Approach considering Multiple Resources and Preventive Maintenance Tasks.” International Journal of Production Research 51 (3):883–96.
   Web of Science ®Google Scholar