Have a personal or library account? Click to login
Model-driven decision support to facilitate efficient fresh food deliveries Cover

Model-driven decision support to facilitate efficient fresh food deliveries

By: Christian Fikar  
Open Access
|Jun 2020

References

  1. Accorsi, R., Gallo, A. and R. Manzini (2017): A climate driven decision-support model for the distribution of perishable products. Journal of Cleaner Production, 165, 917–929.
  2. Amorim, P. and B. Almada-Lobo (2014): The impact of food perishability issues in the vehicle routing problem. Computers & Industrial Engineering 67, 223–233.
  3. Arnott, D. and G. Pervan (2008): Eight key issues for the decision support systems discipline. Decision Support Systems 44, 657–672.
  4. Ayala-Zavala, J., Wang, S.Y., Wang, C.Y. and G.A. González-Aguilar (2004): Effect of storage temperatures on antioxidant capacity and aroma compounds in strawberry fruit. LWT - Food Science and Technology 37, 687–695.
  5. Bortolini, M., Faccio, M., Ferrari, E., Gamberi, M. and F. Pilati (2016): Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization. Journal of Food Engineering, 174, 56–67.
  6. Braekers, K., Ramaekers, K. and I. Van Nieuwenhuyse (2016): The vehicle routing problem: State of the art classification and review. Computers & Industrial Engineering 99, 300–313.
  7. Estrada-Moreno, A., Fikar, C., Juan, A. and P. Hirsch (2019): A biased-randomized algorithm for redistribution of perishable food inventories in supermarket chains. International Transactions in Operational Research 26, 2077–2095.
  8. Fikar, C. (2018): A decision support system to investigate food losses in e-grocery deliveries. Computers & Industrial Engineering 117, 282–290.
  9. Fikar (2018): Decision Support for Time-Critical Logistics Operations. Habilitation Thesis, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, pp. 294.
  10. Fikar, C., Hirsch, P. and M. Gronalt (2018): A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes. International Journal of Logistics: Research and Applications 21, 300–317.
  11. Fikar, C., Mild, A. and M. Waitz (2019): Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveries. European Journal of Operational Research, in press. doi: 10.1016/j.ejor.2019.09.039
  12. Ford, F.N. (1985): Decision support systems and expert systems: A comparison. Information & Management 8, 21–26.
  13. Fredriksson, A. and K. Liljestrand (2015): Capturing food logistics: a literature review and research agenda. International Journal of Logistics Research and Applications 18, 16–34.
  14. Hsiao, Y.H., Chen, M.C., Lu, K.Y. and C.L. Chin (2018): Last-mile distribution planning for fruit-and-vegetable cold chains. The International Journal of Logistics Management 29, 862–886.
  15. Hsu, C.-I., Hung, S.-F. and H.-C. Li (2007): Vehicle routing problem with time-windows for perishable food delivery. Journal of Food Engineering 80, 465–475.
  16. James, S.J., James, C. and J.A. Evans (2006) Modelling of food transportation systems - a review. International Journal of Refrigeration 29, 947–957.
  17. Jedermann, R., Nicometo, M., Uysal, I. and W. Lang (2014): Reducing food losses by intelligent food logistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, 20130302.
  18. Leithner, M. and C. Fikar (2019): A simulation model to investigate impacts of facilitating quality data within organic fresh food supply chains. Annals of Operations Research, in press. doi:10.1007/s10479-019-03455-0
  19. Martins, S., Ostermeier, M., Amorim, P., Hübner, A. and B. Almada-Lobo (2019): Product-oriented time window assignment for a multi-compartment vehicle routing problem. European Journal of Operational Research 276, 893–909.
  20. Minixhofer, P., Stangl, R., Baumgarten, A., Huber, S., Weigl, M., Tramberend, P. and S. Zechmeister-Boltenstern (2019): INSPIRATION for Sustainable Soil and Land Use Management in Austria. Die Bodenkultur: Journal of Land Management, Food and Environment 70, 113–123.
  21. Mirzaei, S. and A. Seifi (2015): Considering lost sale in inventory routing problems for perishable goods. Computers and Industrial Engineering 87, 213–227.
  22. Nunes, M.C.N., Nicometo, M., Emond, J.P., Melis, R.B. and I. Uysal (2014): Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372 20130307–20130307.
  23. Power, D. (2002): Decision Support Systems: Concepts and Resources for Managers. Quorum Books, Westport, CT, USA, pp. 284.
  24. Power, D.J. and R. Sharda (2007): Model-driven decision support systems: Concepts and research directions. Decision Support Systems 43, 1044–1061.
  25. Reynolds, C.J., Buckley, J.D., Weinstein, P. and J. Boland (2014): Are the dietary guidelines for meat, fat, fruit and vegetable consumption appropriate for environmental sustainability? A review of the literature. Nutrients 6, 2251–2265.
  26. Rong, A., Akkerman, R. and M. Grunow (2011): An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics 131, 421–429.
  27. Serrano-Hernandez, A., Hirsch, P., Faulin, J. and C. Fikar (2018): Agent-based simulation for horizontal cooperation in logistics and transportation: from the individual to the grand coalition. Simulation Modelling Practice and Theory 85, 47–59.
  28. Shim, J., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R. and C. Carlsson (2002): Past, present, and future of decision support technology. Decision Support Systems 33, 111–126.
  29. Song, B.D. and Y.D. Ko (2016): A vehicle routing problem of both refrigerated and general-type vehicles for perishable food products delivery. Journal of Food Engineering 169, 61–71.
  30. Soto-Silva, W.E., Nadal-Roig, E., González-Araya, M.C. and L.M. Pla-Aragones (2015): Operational research models applied to the fresh fruit supply chain. European Journal of Operational Research 251, 345–355.
  31. Sprague, R.H. (1980): A framework for the development of decision support systems. MIS Quarterly 4, 1–26.
  32. Tarantilis, C. and C. Kiranoudis (2001): A meta-heuristic algorithm for the efficient distribution of perishable foods. Journal of Food Engineering 50, 1–9.
  33. Teller, C., Holweg, C., Reiner, G. and H. Kotzab (2018): Retail store operations and food waste. Journal of Cleaner Production 185, 981–997.
  34. Tijskens, L.M.M. and J.J. Polderdijk (1996): A generic model for keeping quality of vegetable produce during storage and distribution. Agricultural Systems 51, 431–452.
  35. van der Vorst, J., Tromp, S.-O. and D.-J. van der Zee (2009): Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research 47, 6611–6631.
  36. Wagner, W.P. (2017): Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies. Expert Systems with Applications 76, 85–96.
  37. Yang, Y., Chi, H., Tang, O., Zhou, W. and T. Fan (2019): Cross perishable effect on optimal inventory preservation control. European Journal of Operational Research 276, 998–1012.
DOI: https://doi.org/10.2478/boku-2020-0001 | Journal eISSN: 2719-5430 | Journal ISSN: 0006-5471
Language: English
Page range: 1 - 9
Submitted on: Oct 4, 2019
Accepted on: Jan 9, 2020
Published on: Jun 22, 2020
Published by: Universität für Bodenkultur Wien
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Christian Fikar, published by Universität für Bodenkultur Wien
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.