DHanken Digital Repository of Hanken School of Economics

Recent Submissions

  • Vitoriano, Begoña; Ortuño, M. Teresa; Tirado, Gregorio; Montero, Javier (2011)
    Natural disasters are phenomenons which strike countries all around the world. Sometimes, either by the intensity of the phenomenon or the vulnerability of the country, help is requested from the rest of the world and relief organizations respond by delivering basic aid to those in need. Humanitarian logistics is a critical factor in managing relief operations and, in general, there is a lack of attention on the development of mathematical models and solution algorithms for strategic and tactical decisions in this area. We acknowledge that in humanitarian logistics traditional cost minimizing measures are not central, and postulate that other performance measures such as time of response, equity of the distribution or reliability and security of the operation routes become more relevant. In this paper several criteria for an aid distribution problem are proposed and a multi-criteria optimization model dealing with all these aspects is developed. This model is the core of a decision support system under development to assist organizations in charge of the distribution of humanitarian aid. Once the proposed criteria and the model are described, an illustrative case study based on the 2010 Haiti catastrophic earthquake is presented, showing the usefulness of the proposal.
  • Rennemo, Sigrid Johansen, Norwegian University of Science and Technology; Rø, Kristina Fougner, Norwegian University of Science and Technology; Hvattum, Lars Magnus, Norwegian University of Science and Technology; Tirado, Gregorio, Universidad Complutense de Madrid (2014)
    This paper presents a three-stage mixed-integer stochastic programming model for disas- ter response planning, considering the opening of local distribution facilities, initial alloca- tion of supplies, and last mile distribution of aid. The vehicles available for transportation, the state of the infrastructure and the demand of the potential beneficiaries are considered as stochastic elements. Extensive computational testing performed on realistic instances shows that the solutions produced by the stochastic programming model are significantly better than those produced by a deterministic expected value approach.
  • Laakso, Mikael (University of Helsinki, 2015)
    Engagement in learning activities enhance the level of learning among students. However, when class sizes grow, such engagement can be difficult to achieve. The learning methods that work well in small classes might not work as well, or even be practically feasible, in large lecture halls. When students remain anonymous and cannot be given individual attention there is a challenge in ensuring high quality learning. In an attempt to address this challenge, the study explores ways to pro- mote active learning in the context of large lecture classes. Based on a review of the fundamentals of active learning in the literature, this article presents a range of methods that can be used to facilitate active learning among students in larger classes. Concluding the article is a description of a practical implementation where some of the suggested learning activities are applied and discussed in the context of an actual university course at the Hanken School of Economics taught by the author.
  • Kovacs, Gyöngyi (Inderscience Publishers, 2014)
    This study follows reverse logistics thinking in the valorisation of dead stock from perishable by-products. Viable alternatives for the use of dead stock are found and the feasibility of their introduction evaluated through the building and application of a two-step model that links a two-stage production process generating by-products to staff scheduling problems in handling it. Model building is supported by empirical data from a poultry processing plant that had been collected through process maps, observations, and from databases of the case company. The model is also applied and solved for the case before suggesting general conclusions.
  • Kovacs, Gyöngyi (Kogan Page, 2014)
  • Steele, Pamela; Kovacs, Gyöngyi (BVL - Bundesvereinigung Logistik, 2013)
  • Allen, Ann; Kovacs, Gyöngyi; Masini, Andrea; Vaillancourt, Alain; van Wassenhove, Luk (Emerald, 2013)
  • Haavisto, Ira; Kovacs, Gyöngyi (Gower, 2013)
    Chapter 27
  • Sarkis, Joseph; Spens, Karen; Kovacs, Gyöngyi (IGI Global, 2012)
  • Tatham, Peter; Kovacs, Gyöngyi (IGI Global, 2012)
  • Kovacs, Gyöngyi; Matopoulos, Aristides; Hayes, Odran (IGI Global, 2012)
  • Kovacs, Gyöngyi; Pazirandeh, Ala; Tatham, Peter (2012)
  • Kovacs, Gyöngyi (Emerald, 2012)
  • Kovacs, Gyöngyi; Tatham, Peter; Larson, Paul (Wiley-Blackwell Publishing, 2012)
  • Spens, Karen; Kovacs, Gyöngyi (Emerald Group Publishing, 2012)