Home Health Care Optimization

  • Routing Home Service Transport Systems - Best SolutionsBestSolutions_RoutingHomeServiceTransportSystems.zip
    Fikar C, Hirsch P (2015) A matheuristic for routing real-world home service transport systems facilitating walking. Journal of Cleaner Production 105: 300–310.
  • Routing Home Service Transport Systems - InstancesInstances_RoutingHomeServiceTransportSystems.zip
    Fikar C, Hirsch P (2015) A matheuristic for routing real-world home service transport systems facilitating walking. Journal of Cleaner Production 105: 300–310.
  • Securing home health care in times of natural disasters - Instances:Data_6_30_ORS.zip
    Test instances used in Table 4 and Table 5 of: Trautsamwieser, A., Gronalt, M., Hirsch, P., Securing home health care in times of disasters, OR Spectrum (2011), 33(3), 787-813.
  • A Branch-Price-and-Cut Approach for Solving the Medium-Term Home Health Care Planning Problem - Instances:Data_Networks.zip
    Trautsamwieser, A, Hirsch, P., A Branch-Price-and-Cut Approach for Solving the Medium-Term Home Health Care Planning Problem, Networks (2014), 64(3), 143-159.
  • Evaluation of trip and car sharing concepts for home health care services - Additional MaterialFikar_Hirsch_TripSharing_AdditionalMaterials.zip
    Fikar, C., Hirsch, P. (2018) Evaluation of trip and car sharing concepts for home health care services. Flexible Services and Manufacturing 30(1-2), 78-97.

Disaster Relief

  • Training decision-makers in flood: Appendix 1 - Equations response with system dynamicsDPM_Berariu_et_al_Appendix_1_equations.pdf
    Berariu, R., Fikar, C., Hirsch P., Gronalt, M. (2016) Training decision-makers in flood response with system dynamics. Disaster Prevention and Management 25(2), 118-136. DOI: 10.1108/DPM-06-2015-0140.
  • Training decision-makers in flood: Appendix 2 - Calculations response with system dynamicsDPM_Berariu_et_al_Appendix_2_calculations.pdf
    Berariu, R, Fikar, C., Hirsch P., Gronalt, M. (2016) Training decision-makers in flood response with system dynamics. Disaster Prevention and Management 25(2). DOI: 10.1108/DPM-06-2015-0140.
  • Decision support for coordinated disaster relief distribution - Instances and Solution FilesFikar_et_al_DSS_Instances.zip
    Fikar, C., Gronalt, M., Hirsch P., A decision support system for coordinated disaster relief distribution. Expert Systems with Applications 57, 104-116. DOI: 10.1016/j.eswa.2016.03.039
  • Resource deployment in times of floods - Model EquationsBerariu_et_al_Appendix_equations.pdf
    Berariu, R, Fikar, C., Hirsch P., Gronalt, M. (2016) Resource deployment under consideration of conflicting needs in times of river floods. Disaster Prevention and Management: An International Journal 25(5), 649-663.
  • Integrating word of mouth in a simulation optimization framework for disaster relief distribution - Input Data Nepal 2015Fikar_et_al_WoM_Nepal_input.xlsx
    Fikar, C, Hirsch, P, Nolz, P (2018) Agent-based simulation optimization for dynamic disaster relief distribution. Central European Journal of Operations Research 26(2), 423-442.

Timber Industry

  • Production planning softwood sawmill - DataProduction_planning_data.zip
    Huka, M.A. and Gronalt, M., Model development and comparison of different heuristics for the production planning in large volume softwood sawmills. Engineering Optimization 49 (11), 1829-1847.
  • Profitability gain expectations for computed tomography of sawn logsSawmill_Yield_Data.xlsx
    Pernkopf, M., Riegler, M., Gronalt, M. (2019) Proftability gain expectations for computed tomography of sawn logs. European Journal of Wood and Wood Products. https://doi.org/10.1007/s00107-019-01414-x
  • Dry kiln scheduling and loading problem for multiple, identical dry kilns in Timber industryProductionData.7z
  • Job & product rotation to enhance multiple mixed-model assembly lines outputGartner__Grenzfurtner__Zauner__Gronalt_Job_and_product_rotation.xlsx
    Gartner, M.A., Grenzfurtner, W., Zauner, B., Gronalt, M. (2023) Job and product rotation for maximising the production output on multiple mixed-model assembly lines for element prefabrication in industrialised housebuilding

Food Logistics

  • Dynamic last-mile distribution facilitating cargo-bikes - Input and detailed results:Fikar_et_al._-_Cargo_bike_deliveries.zip
    Fikar, C., Hirsch, P., Gronalt, M. (2018) A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes. International Journal of Logistics Research and Applications 21(3), 300-317.
  • Investigate Food Waste in E-Grocery Operations - DetailedResultseFoodLog-DetailedResults.xlsx
    Fikar C (2018) A decision support system to investigate food losses in e-grocery deliveries. Computers & Industrial Engineering 117, 282-290.
  • Simulation of a fresh fruit supply chain - Detailed results SimulatingAFreshFruitSupplyChain_detailedResults.xlsx
    Leithner , M., Fikar, C. (2018) A simulation model to investigate impacts of facilitating quality data within organic fresh food supply chains. Working Paper
  • Collaborative supply of food cooperatives - Detailed resultsFikar_Leithner_2018_FoodCoops.xlsx
    Fikar, C, Leithner, M (2018) A decision support system to facilitate collaborative supply of food cooperatives. Working Paper.
  • Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveriesFikar_et_al.-eGroceryDSS-input_and_results.zip
    Fikar, C, Mild, A, Waitz, M (2019) Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveries. European Journal of Operational Research, in press.
  • Model-driven decision support to facilitate efficient fresh food deliveriesinput.xlsx
    Fikar, C (2020) Model-driven decision support to facilitate efficient fresh food deliveries. Die Bodenkultur: Journal of Land Management, Food and Environment, in press.

Misc

  • Horizontal Cooperation: from the individual company to the grand coalition - Detailed ResultsSerrano_et_al_-_Detailed_Results_HC.7z
    Serrano-Hernandez, A, Hirsch, P, Faulin, J, Fikar, C (2018) Horizontal cooperation in logistics and transportation using agent-based simulation: from the individual company to the grand coalition. Simulation Modelling Practice and Theory 85, 47-59.