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BISE 59(3) - June 2017

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  • Zeitschriftenartikel
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Nofer, Michael; Gomber, Peter; Hinz, Oliver; Schiereck, Dirk
  • Zeitschriftenartikel
    Intermodal Mobility
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Willing, Christoph; Brandt, Tobias; Neumann, Dirk
  • Zeitschriftenartikel
    Solving Practical Railway Crew Scheduling Problems with Attendance Rates
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Hoffmann, Kirsten; Buscher, Udo; Neufeld, Janis Sebastian; Tamke, Felix
    Arising from a practical problem in German rail passenger transport, a prototype for a multi-period railway crew scheduling problem with attendance rates for conductors is developed and evaluated in this paper. The consideration of attendance rates is of increasing importance in regional transport networks and requires decision support. For this purpose business analytics is applied in order to offer an approach to transform real-world data to concrete operational decision support (action). The focus here is on the analysis step using a new set covering model with several essential restrictions integrated for the first time. A hybrid column generation approach is applied, which solves the pricing problem by means of a genetic algorithm. The artifact is evaluated with the help of a case study of three real-world transport networks. It is shown that the hybrid solution approach is able to solve the problem more effectively and efficiently compared to conventional approaches used in practice.
  • Zeitschriftenartikel
    Guidelines for Education in Business and Information Systems Engineering at Tertiary Institutions
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Jung, Reinhard; Lehrer, Christiane
    The paper presents guidelines for education in business and information systems engineering (BISE) at tertiary institutions, which were designed by a working group comprising domain experts, both from academia and practice. The guidelines contain the learning outcomes in Bachelor’s and Master’s degree programs, in particular, the key subject-specific, social, and personal skills needed by BISE graduates. Moreover, corresponding occupational profiles, the specific skills required, as well as the essential and typical learning content for BISE education are described. Furthermore, detailed recommendations for the design of Bachelor’s and Master’s degrees curricula and sub-curricula in BISE, business administration, and computer science, respectively, are provided. The presented guidelines serve several purposes. Providing common directions for BISE education is aiming to support personnel in charge of curriculum development and to assist students in program and career choice.
  • Zeitschriftenartikel
    Computational Mobility, Transportation, and Logistics
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Kliewer, Natalia; Ehmke, Jan Fabian; Mattfeld, Dirk Christian
  • Zeitschriftenartikel
    Interview with Hanno Schülldorf on “Computational Challenges in Planning of Mobility and Transportation Services”
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Ehmke, Jan Fabian
  • Zeitschriftenartikel
    On the Value and Challenge of Real-Time Information in Dynamic Dispatching of Service Vehicles
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Ulmer, Marlin W.; Heilig, Leonard; Voß, Stefan
    Ubiquitous computing technologies and information systems pave the way for real-time planning and management. In the process of dynamic vehicle dispatching, the adherent challenge is to develop decision support systems using real-time information in an appropriate quality and at the right moment in order to improve their value creation. As real-time information enables replanning at any point in time, the question arises when replanning should be triggered. Frequent replanning may lead to efficient routing decisions due to vehicles’ diversions from current routes while less frequent replanning may enable effective assignments due to gained information. In this paper, the authors analyze and quantify the impact of the three main triggers from the literature, exogenous customer requests, endogenous vehicle statuses, and replanning in fixed intervals, for a dynamic vehicle routing problem with stochastic service requests. To this end, the authors generalize the Markov-model of an established dynamic routing problem and embed the different replanning triggers in an existing anticipatory assignment and routing policy. They particularly analyze under which conditions each trigger is advantageous. The results indicate that fixed interval triggers are inferior and dispatchers should focus either on the exogenous customer process or the endogenous vehicle process. It is further shown that the exogenous trigger is advantageous for widely spread customers with long travel durations and few dynamic requests while the endogenous trigger performs best for many dynamic requests and when customers are accumulated in clusters.
  • Zeitschriftenartikel
    Integrating Data Collection Optimization into Pavement Management Systems
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Bazi, Gabriel; Khoury, John; Srour, F. Jordan
    This paper describes a method for using location data to optimize the routing of pavement data collection vehicles. In much of the developed world, pavement testing is performed on a regular basis; the pavement testing data, in turn, serves as input to Pavement Management Systems. Currently, in the United States of America, state departments of transportation plan this data collection work by providing the list of roads that must be tested and then leave the routing of the vehicles to the equipment operators who typically execute the work in an ad hoc manner. This study presents the processes required to code the list of roads for testing, select appropriate hotels in the region of testing, and apply a Traveling Salesman Problem with Hotel Stops model to derive a route. Applying the processes to a case study shows significant cost savings associated with this method of roadway testing, as opposed to the current ad hoc methods.