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Gent, Belgium

The Vlerick Business School is the autonomous management school of Ghent University and the Katholieke Universiteit Leuven. Vlerick was founded in 1953 by professor, politician and entrepreneur Baron André Vlerick.Vlerick has four international campuses in Brussels, Ghent, Leuven and Saint Petersburg . Vlerick also has a cooperative program with BiMBA of Peking University's China Center for Economic Research in Beijing .Vlerick offers MBA & Masters in Management, as well as general and specialized courses for managers, and custom-designed training for individual companies. Over 17,000 alumni in more than 100 different countries are alumni of the management schools. Wikipedia.

Roome N.,Vlerick Leuven Gent Management School
International Journal of Technology Management

Corporate responsibility (CR), as a business contribution to sustainable development, implies that the environment affects the organisation and the organisation reacts to its changing environment. In this way, CR can be understood as a cybernetic system operating across the interface between the organisation and its environment. This paper elaborates a cybernetic model of CR, and uses it to distinguish ways that managers sense change in their environment. Three ways to 'sense' change are compared: following trends, issues and events; picking up signals from stakeholders; and adjusting to sustainable development as a specific definition of 'progress'. The paper discusses the merits and limits of each approach. Conclusions are drawn in terms of implications for managing CR. Moreover, the cybernetic model is held to provide for a theory of CR that is more in line with the multi-disciplinary nature of practice than is found in ideas that derive from business ethics or stakeholder theory. Copyright © 2012 Inderscience Enterprises Ltd. Source

Maenhout B.,Ghent University | Vanhoucke M.,Ghent University | Vanhoucke M.,Vlerick Leuven Gent Management School
Computers and Operations Research

The personnel scheduler constructs a deterministic personnel roster that determines the line-of-work for each personnel member. When unexpected events disrupt this roster, the feasibility needs to be restored by constructing a new workable roster. The scheduler must reassign the set of employees in order to cover the disrupted shift such that the staffing requirements and the time-related personnel constraints remain satisfied. In this paper, we propose an evolutionary meta-heuristic to solve the nurse rerostering problem. We show that the proposed procedure performs consistently well under many different circumstances. We test different optimisation strategies and compare our procedure with the existing literature on a dataset that is carefully designed in a controlled and varied way. © 2011 Elsevier Ltd. All rights reserved. Source

Klassen R.D.,University of Western Ontario | Vereecke A.,Vlerick Leuven Gent Management School
International Journal of Production Economics

Social issues in the supply chain are defined as product- or process-related aspects of operations that affect human safety, welfare and community development. Drawing from related literatures, basic constructs related to capabilities and risk are defined and used to underpin case research in five multinational firms. This data extended our understanding of three key social management capabilities: monitoring, collaboration, and innovation. Moreover, the field research revealed four key linkages that detail how managers actively can work toward mitigating social risks, creating new opportunities, and improving firm performance. Collectively, these capabilities and linkages establish the basis for an integrative framework and five research propositions. © 2012 Elsevier B.V. All rights reserved. Source

Van Peteghem V.,Ghent University | Vanhoucke M.,Vlerick Leuven Gent Management School
Journal of Heuristics

In the past decades, resource parameters have been introduced in project scheduling literature to measure the scarceness of resources of a project instance. In this paper, we incorporate these resource scarceness parameters in the search process to solve the multi-mode resource constrained project scheduling problem, in which multiple execution modes are available for each activity in the project. Therefore, we propose a scatter search algorithm, which is executed with different improvement methods, each tailored to the specific characteristics of different renewable and nonrenewable resource scarceness values. Computational results prove the effectiveness of the improvement methods and reveal that the procedure is among the best performing competitive algorithms in the open literature. © 2010 Springer Science+Business Media, LLC. Source

Maenhout B.,Ghent University | Vanhoucke M.,Vlerick Leuven Gent Management School
Journal of Scheduling

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. © 2009 Springer Science+Business Media, LLC. Source

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