This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.AccorsiR.GalloA.ManziniR.2017A climate driven decision-support model for the distribution of perishable products16591792910.1016/j.jclepro.2017.07.170Search in Google Scholar
Amorim, P. and B. Almada-Lobo (2014): The impact of food perishability issues in the vehicle routing problem. Computers & Industrial Engineering 67, 223–233.AmorimP.Almada-LoboB.2014The impact of food perishability issues in the vehicle routing problem6722323310.1016/j.cie.2013.11.006Search in Google Scholar
Arnott, D. and G. Pervan (2008): Eight key issues for the decision support systems discipline. Decision Support Systems 44, 657–672.ArnottD.PervanG.2008Eight key issues for the decision support systems discipline4465767210.1016/j.dss.2007.09.003Search in Google Scholar
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.Ayala-ZavalaJ.WangS.Y.WangC.Y.González-AguilarG.A.2004Effect of storage temperatures on antioxidant capacity and aroma compounds in strawberry fruit3768769510.1016/j.lwt.2004.03.002Search in Google Scholar
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.BortoliniM.FaccioM.FerrariE.GamberiM.PilatiF.2016Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization174566710.1016/j.jfoodeng.2015.11.014Search in Google Scholar
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.BraekersK.RamaekersK.Van NieuwenhuyseI.2016The vehicle routing problem: State of the art classification and review9930031310.1016/j.cie.2015.12.007Search in Google Scholar
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.Estrada-MorenoA.FikarC.JuanA.HirschP.2019A biased-randomized algorithm for redistribution of perishable food inventories in supermarket chains262077209510.1111/itor.12668Search in Google Scholar
Fikar, C. (2018): A decision support system to investigate food losses in e-grocery deliveries. Computers & Industrial Engineering 117, 282–290.FikarC.2018A decision support system to investigate food losses in e-grocery deliveries11728229010.1016/j.cie.2018.02.014Search in Google Scholar
Fikar (2018): Decision Support for Time-Critical Logistics Operations. Habilitation Thesis, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, pp. 294.Fikar2018Habilitation Thesis,University of Natural Resources and Life Sciences Vienna (BOKU)Vienna294Search in Google Scholar
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.FikarC.HirschP.GronaltM.2018A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes2130031710.1080/13675567.2017.1395830Search in Google Scholar
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.2019.09.039FikarC.MildA.WaitzM.2019Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveriesin press.10.1016/j.ejor.2019.09.039Open DOISearch in Google Scholar
Ford, F.N. (1985): Decision support systems and expert systems: A comparison. Information & Management 8, 21–26.FordF.N.1985Decision support systems and expert systems: A comparison8212610.1016/0378-7206(85)90066-7Search in Google Scholar
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.FredrikssonA.LiljestrandK.2015Capturing food logistics: a literature review and research agenda18163410.1080/13675567.2014.944887Search in Google Scholar
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.HsiaoY.H.ChenM.C.LuK.Y.ChinC.L.2018Last-mile distribution planning for fruit-and-vegetable cold chains2986288610.1108/IJLM-01-2017-0002Search in Google Scholar
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.HsuC.-I.HungS.-F.LiH.-C.2007Vehicle routing problem with time-windows for perishable food delivery8046547510.1016/j.jfoodeng.2006.05.029Search in Google Scholar
James, S.J., James, C. and J.A. Evans (2006) Modelling of food transportation systems - a review. International Journal of Refrigeration 29, 947–957.JamesS.J.JamesC.EvansJ.A.2006Modelling of food transportation systems - a review2994795710.1016/j.ijrefrig.2006.03.017Search in Google Scholar
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.JedermannR.NicometoM.UysalI.LangW.2014Reducing food losses by intelligent food logistics3722013030210.1098/rsta.2013.0302400616724797131Search in Google Scholar
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/s10479-019-03455-0LeithnerM.FikarC.2019A simulation model to investigate impacts of facilitating quality data within organic fresh food supply chainsin press.10.1007/s10479-019-03455-0Open DOISearch in Google Scholar
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.MartinsS.OstermeierM.AmorimP.HübnerA.Almada-LoboB.2019Product-oriented time window assignment for a multi-compartment vehicle routing problem27689390910.1016/j.ejor.2019.01.053Search in Google Scholar
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.MinixhoferP.StanglR.BaumgartenA.HuberS.WeiglM.TramberendP.Zechmeister-BoltensternS.2019INSPIRATION for Sustainable Soil and Land Use Management in Austria7011312310.2478/boku-2019-0010Search in Google Scholar
Mirzaei, S. and A. Seifi (2015): Considering lost sale in inventory routing problems for perishable goods. Computers and Industrial Engineering 87, 213–227.MirzaeiS.SeifiA.2015Considering lost sale in inventory routing problems for perishable goods8721322710.1016/j.cie.2015.05.010Search in Google Scholar
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.NunesM.C.N.NicometoM.EmondJ.P.MelisR.B.UysalI.2014Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies372201303072013030710.1098/rsta.2013.0307Search in Google Scholar
Power, D. (2002): Decision Support Systems: Concepts and Resources for Managers. Quorum Books, Westport, CT, USA, pp. 284.PowerD.2002Quorum BooksWestport, CT, USA284Search in Google Scholar
Power, D.J. and R. Sharda (2007): Model-driven decision support systems: Concepts and research directions. Decision Support Systems 43, 1044–1061.PowerD.J.ShardaR.2007Model-driven decision support systems: Concepts and research directions431044106110.1016/j.dss.2005.05.030Search in Google Scholar
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.ReynoldsC.J.BuckleyJ.D.WeinsteinP.BolandJ.2014Are the dietary guidelines for meat, fat, fruit and vegetable consumption appropriate for environmental sustainability? A review of the literature62251226510.1201/b20562-20Search in Google Scholar
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.RongA.AkkermanR.GrunowM.2011An optimization approach for managing fresh food quality throughout the supply chain13142142910.1016/j.ijpe.2009.11.026Search in Google Scholar
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.Serrano-HernandezA.HirschP.FaulinJ.FikarC.2018Agent-based simulation for horizontal cooperation in logistics and transportation: from the individual to the grand coalition85475910.1016/j.simpat.2018.04.002Search in Google Scholar
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.ShimJ.WarkentinM.CourtneyJ.F.PowerD.J.ShardaR.CarlssonC.2002Past, present, and future of decision support technology3311112610.1016/S0167-9236(01)00139-7Search in Google Scholar
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.SongB.D.KoY.D.2016A vehicle routing problem of both refrigerated and general-type vehicles for perishable food products delivery169617110.1016/j.jfoodeng.2015.08.027Search in Google Scholar
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.Soto-SilvaW.E.Nadal-RoigE.González-ArayaM.C.Pla-AragonesL.M.2015Operational research models applied to the fresh fruit supply chain25134535510.1016/j.ejor.2015.08.046Search in Google Scholar
Sprague, R.H. (1980): A framework for the development of decision support systems. MIS Quarterly 4, 1–26.SpragueR.H.1980A framework for the development of decision support systems412610.2307/248957Search in Google Scholar
Tarantilis, C. and C. Kiranoudis (2001): A meta-heuristic algorithm for the efficient distribution of perishable foods. Journal of Food Engineering 50, 1–9.TarantilisC.KiranoudisC.2001A meta-heuristic algorithm for the efficient distribution of perishable foods501910.1016/S0260-8774(00)00187-4Search in Google Scholar
Teller, C., Holweg, C., Reiner, G. and H. Kotzab (2018): Retail store operations and food waste. Journal of Cleaner Production 185, 981–997.TellerC.HolwegC.ReinerG.KotzabH.2018Retail store operations and food waste18598199710.1016/j.jclepro.2018.02.280Search in Google Scholar
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.TijskensL.M.M.PolderdijkJ.J.1996A generic model for keeping quality of vegetable produce during storage and distribution5143145210.1016/0308-521X(95)00058-DSearch in Google Scholar
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.van der VorstJ.TrompS.-O.van der ZeeD.-J.2009Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics476611663110.1080/00207540802356747Search in Google Scholar
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.WagnerW.P.2017Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies76859610.1016/j.eswa.2017.01.028Search in Google Scholar
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.YangY.ChiH.TangO.ZhouW.FanT.2019Cross perishable effect on optimal inventory preservation control276998101210.1016/j.ejor.2019.01.069Search in Google Scholar