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    Strategic innovation decisions: what you foresee is not what you get

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    Publication type
    Vlerick strategic journal article
    Author
    Moenaert, Rudy
    Robben, Hans
    Antioco, M.
    De Schamphelaere, Veroniek
    Roks, E.
    Publication Year
    2010
    Journal
    Journal of Product Innovation Management
    Publication Volume
    27
    Publication Issue
    6
    Publication Begin page
    840
    Publication End page
    855
    
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    Abstract
    The efficient management of nursing personnel is of critical importance in a hospital’s environment comprising a vast share of the hospital’s operational costs. The nurse scheduling process affects highly the nurses’ working conditions, which are strongly related to the provided quality of care. In this paper, we consider the rostering over a mid-term period that involves the construction of duty timetables for a set of heterogeneous nurses. In scheduling nursing personnel, the head nurse is typically confronted with various (conflicting) goals complying with different priority levels which represent the hospital’s policies and the nurses’ preferences. In constructing a nurse roster, nurses need to be assigned to shifts in order to maximize the quality of the constructed timetable satisfying the case-specific time related constraints imposed on the individual nurse schedules. Personnel rostering in healthcare institutions is a highly constrained and difficult problem to solve and is known to be NP-hard. In this paper, we present an exact branch-and-price algorithm for solving the nurse scheduling problem incorporating multiple objectives and discuss different branching and pruning strategies. Detailed computational results are presented comparing the proposed branching strategies and indicating the beneficial effect of various principles encouraging computational efficiency.
    Keyword
    Decision Making
    Knowledge Domain/Industry
    People Management & Leadership
    URI
    http://hdl.handle.net/20.500.12127/3736
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