• A hybrid electromagnetism-like mechanism/tabu search procedure for the single machine scheduling problem with a maximum lateness objective

      Sels, Veronique; Vanhoucke, Mario (Computers and Industrial Engineering, 2014)
      This paper presents a hybrid meta-heuristic search procedure to solve the well-known single machine scheduling problem to minimize the maximum lateness over all jobs, where precedence relations may exist between some of the jobs. The hybridization consists of a well-designed balance between the principles borrowed from an Electromagnetism-like Mechanism algorithm and the characteristics used in a tabu search procedure. The Electromagnetism-like Mechanism (EM) algorithm follows a search pattern based on the theory of physics to simulate attraction and repulsion of solutions in order to move towards more promising solutions. The well-known tabu search enhances the performance of a local search method by using memory structures by prohibiting visited solutions during a certain time of the search process. The hybridization of both algorithms results in an important trade-off between intensification and diversification strategies. These strategies will be discussed in detail. To that purpose, a new set of data instances is used to compare different elements of the hybrid search procedure and to validate the performance of the algorithm.
    • A Hybrid Scatter Search / Electromagnetism Meta-Heuristic for Project Scheduling

      Debels, Dieter; De Reyck, B.; Leus, Roel; Vanhoucke, Mario (European Journal of Operational Research, 2006)
    • A hybrid scatter search heuristic for personalized crew rostering in the airline industry

      Maenhout, Broos; Vanhoucke, Mario (European Journal of Operational Research, 2010)
    • A hybrid single and dual population search procedure for the job shop scheduling problem

      Sels, Veronique; Craeymeersch, Kjeld; Vanhoucke, Mario (European Journal of Operational Research, 2011)
    • A language-mapping approach to action-oriented development of information systems

      Rittgen, Peter (European Journal of Information Systems, 2006)
    • A longitudinal cross-level model of leader and salesperson influences on sales force technology use and performance

      Mathieu, John; Ahearne, Michael; Taylor, Scott (Journal of Applied Psychology, 2007)
    • A longitudinal examination of individual, organizational and contextual factors on sales technology adoption and job performance

      Jelinek, Ronald; Ahearne, Michael; Mathieu, John; Schillewaert, Niels (Journal of Marketing. Theory and Practice, 2006)
    • A longitudinal study on the relationship between financial bootstrapping and new venture growth

      Vanacker, Tom; Manigart, Sophie; Meuleman, Miguel; Sels, Luc (Entrepreneurship & Regional Development, 2011)
      While bootstrap finance is widely used in entrepreneurial ventures, both scholars and practitioners have presented conflicting views on the relation between financial bootstrapping and venture growth. This article empirically investigates the association between bootstrap strategies used at startup and subsequent venture growth. For this purpose, we use a longitudinal database comprising data from both questionnaires and financial accounts of 214 new ventures. Findings demonstrate that the association between financial bootstrapping and venture growth is either nonexistent or positive. More specifically, new ventures that use more owner funds, employ more interim personnel, encourage customers to pay more quickly, and apply for more subsidy programs exhibit higher growth over time. We discuss the managerial and policy implications of these results and suggest avenues for future research.
    • A Mathematical Programming Approach for Procurement Using Activity Based Costing

      Roodhooft, Filip; Degraeve, Zeger (Journal of Business Finance and Accounting, 2000)
    • A Mathematical Programming Approach for Supplier Selection using Activity Based Costing

      Roodhooft, Filip; Degraeve, Zeger (Business Logistics, 1996)
    • A metaheuristic solution approach for the time-constrained project scheduling problem

      Verbeeck, Cédric; Van Peteghem, Vincent; Vanhoucke, Mario; Vansteenwegen, Pieter; Aghezzaf, El-Houssaine (OR Spectrum - Quantitative Approaches in Management, 2017)
      In this paper, a metaheuristic solution procedure for the Time-Constrained Project Scheduling Problem is proposed, in which additional resources can be temporarily allocated to meet a given deadline. The problem consists of determining a schedule such that the project is completed on time and that the total additional cost for the resources is minimized. For this problem, an artificial immune system is proposed, in which each solution is represented by a vector of activity start times. A local search procedure, which tries to shift cost causing activities, is applied to each population schedule. Computational experiments are applied to modified resource-constrained project scheduling problem benchmark instances and reveal promising results.
    • A motivational account of the question-behavior effect

      Van Kerckhove, Anneleen; Geuens, Maggie; Vermeir, Iris (Journal of Consumer Research, 2012)
    • A multi-faceted role for mediators in civil and commercial disputes

      Jordaan, Barney (Tijdschrift Conflicthantering, 2016)
    • A multidimensional analysis of data quality for credit risk management: new insights and challenges

      Moges, H.; Dejaeger, Karel; Lemahieu, Wilfried; Baesens, Bart (Information and Management, 2013)
      Interest in group moods as an emergent phenomenon of group members’ interactions has significantly increased over the past two decades (Barsade & Gibson, 2007). Most studies focused particularly on understanding the effects of group moods on group processes (Barsade, 2001, Baartel & Saavedra, 2000, Barsade, Ward, Turner & Sonnenfled, 2000, Chiayu Tu, 2009) and group performance (Seung -Yoon Ree, 2006, Jordan, Lawrence & Troth, 2006). However, research investigating the antecedents of group moods is still scant. The current study fills this gap by focusing on the affective potential of group conflict. In this sense, group conflict focuses on how differences of opinion (task conflict) and person-related disagreements (relationship conflict) trigger group moods that differ in their valence (positive and negative) and level of activation (activated and unactivated) (Baartel & Saavedra, 2000). In this context, the group’s ability to define and understand its moods, their cause, evolution and relations between them - ability known as group emotional intelligence (Salovey & Mayer, 1990) - is expected to buffer the relation between conflict and group moods. By studying group moods in relation to group conflict, the current study extends previous research by considering group moods’ antecedents and not only their consequences. This contributes to a better understanding of group affect dynamics. In addition, the current study investigates different nuances of group moods given by different types of conflict. Whether an affect has a positive or negative valence, or whether it is activated or inactivated, has implications upon the further group dynamics.
    • A multinational examination of the symbolic instrumental framework of consumer-brand identification

      Lam, S.K.; Ahearne, Michael; Schillewaert, Niels (Journal of International Business Studies, 2012)
    • A multivariate approach for top-down project control using earned value management

      Colin, Jeroen; Martens, Annelies; Vanhoucke, Mario; Wauters, Mathieu (Decision Support Systems, 2015)
      Project monitoring and the related decision to proceed to corrective action are crucial components of an integrated project management and control decision support system (DSS). Earned value management/earned schedule (EVM/ES) is a project control methodology that is typically applied for top-down project schedule control. However, traditional models do not correctly account for the multivariate nature of the EVM/ES measurement system. We therefore propose a multivariate model for EVM/ES, which implements a principal component analysis (PCA) on a simulated schedule control reference. During project progress, the real EVM/ES observations can then be projected onto these principal components. This allows for two new multivariate schedule control metrics (T2 and SPE) to be calculated, which can be dynamically monitored on project control charts. Using a computational experiment, we show that these multivariate schedule control metrics lead to performance improvements and practical advantages in comparison with traditional univariate EVM/ES models.
    • A nearest neighbour extension to project duration forecasting with artificial intelligence

      Wauters, Mathieu; Vanhoucke, Mario (European Journal of Operational Research, 2017)
      In this paper, we provide a Nearest Neighbour based extension for project control forecasting with Earned Value Management. The k-Nearest Neighbour method is employed as a predictor and to reduce the size of a training set containing more similar observations. An Artificial Intelligence (AI) method then makes use of the reduced training set to predict the real duration of a project. Additionally, we report on the forecasting stability of the various AI methods and their hybrid Nearest Neighbour counterparts. A large computer experiment is set up to assess the forecasting accuracy and stability of the existing and newly proposed methods. The experiments indicate that the Nearest Neighbour technique yields the best stability results and is able to improve the AI methods when the training set is similar or not equal to the test set. Sensitivity checks vary the amount of historical data and number of neighbours, leading to the conclusion that having more historical data, from which the a relevant subset can be selected by means of the proposed Nearest Neighbour technique, is preferential.