• Creating succesful collaborative relationships

      Vanpoucke, Evelyne; Vereecke, Ann (2008)
    • Decarbonizing the European electric power sector by 2050: A tale of three studies

      Delarue, Erik; Meeus, Leonardo; Belmans, Ronnie; D'haeseleer, William; Glachant, Jean-Michel (2011)
    • Do not forget the strategic architecture of your manufacturing network while offshoring

      Vereecke, Ann; De Meyer, Arnoud (2006)
      Offshoring manufacturing to low labor cost countries has become trendy. Nearly everyday one sees an announcement in the business press of companies moving to China or India. Whilst production cost is an important consideration in choosing a location for the factory, we argue that one should not become victim of a herd effect and that other parameters e.g. quality, flexibility, transportation and energy costs, etc. need to be taken into consideration in the determination of the optimal manufacturing network. Relocating a factory is changing the strategic architecture of the company's manufacturing network and requires a long term view and a good model to design the architecture of the manufacturing network. Based on empirical survey research and a set of case studies we provide such a model to think about the roles of factories in the strategic manufacturing network of the firm. But we go beyond a classification and a descriptive model and we provide a set of six managerial issues that require senior management's attention in determining the optimal manufacturing network and its dynamic evolution. We argue for example that senior management needs to build a balanced portfolio of different types of factories, has to have a performance measurement system adapted to the type of factory, as well as the appropriate leadership for each of the different types of factories and needs to actively manage the dynamics and the flows of innovation in the factory network. Key words: international manufacturing, network management, outsourcing
    • Does Timing of R&D Collaborations Explain the Heterogeneity of their Outcomes?

      Leten, Bart; Vanhaverbeke, Wim; Belderbos, Rene; Du, Jingshu
    • Dual sourcing and smoothing under non-stationary demand time series: Re-shoring with speedfactories

      Boute, Robert; Disney, Stephen M.; Van Mieghem, Jan A. (2019)
      We investigate the emerging trend of near-shoring a small part of the global production to local SpeedFactories. The short lead time of the responsive SpeedFactory reduces the risk of making large volumes in advance, yet it does not involve a complete re-shoring of demand. Using a break-even analysis we investigate the lead time, demand, and cost characteristics that make dual sourcing with a SpeedFactory desirable compared to complete off-shoring. We propose order rules that extend the celebrated inventory optimal order-up-to replenishment policy to settings where capacity costs exist and demonstrate their excellent performance. We highlight the significant impact of autocorrelated and non-stationary demand series, which are prevalent in practice yet challenging to analyze, on the economic benefit of re-shoring. Methodologically, we adopt Z-transforms and present exact analyses of several discrete-time linear production-inventory models.
    • EU 2050 low-carbon energy future: visions and strategies

      Meeus, Leonardo; Azevedo, Isabel; Marcantonini, Claudio; Glachant, Jean-Michel; Hafner, Manfred (2011)
    • Exploring the bullwhip effect by means of spreadsheet simulation

      Boute, Robert (2007)
      An important supply chain research problem is the bullwhip effect: demand fluctuations increase as one moves up the supply chain from retailer to manufacturer. It has been recognized that demand forecasting and ordering policies are two of the key causes of the bullwhip effect. In this paper we present a spreadsheet application, which explores a series of replenishment policies and forecasting techniques under different demand patterns. It illustrates how tuning the parameters of the replenishment policy induces or reduces the bullwhip effect. Moreover, we demonstrate how bullwhip reduction (order variability dampening) may have an adverse impact on inventory holdings. Indeed, order smoothing may increase inventory fluctuations resulting in poorer customer service. As such, the spreadsheets can be used as an educational tool to gain a clear insight into the use or abuse of inventory control policies and improper forecasting in relation to the bullwhip effect and customer service. Keywords: Bullwhip effect, forecasting techniques, replenishment rules, inventory fluctuations, spreadsheet simulation
    • From enterprise architect to opportunity architect: the Changing role of enterprise architecture in a digital transformation context

      Bontinck, Greet; Cumps, Bjorn; Viaene, Stijn; Bille, Wesley; Vanden Brande, Joachim (2016)
      While digital transformation is of vital importance for companies and is clearly a boardroom concern, enterprise architects are having a hard time using their skills to digitally transform their company into a nimble, quick and agile one. The white paper “From Enterprise Architect to Opportunity Architect” outlines a number of findings from 13 case studies of companies in Belgium: there are opportunities for enterprise architects who can get to grips with and understand the customer journey.
    • Is design-manufacturing integration that important?

      Vandevelde, Anneke; Van Dierdonck, Roland; Clarysse, Bart; Debackere, Koenraad (2002)
      There is limited empirical evidence to support the importance of design-manufacturing (DM) integration on the performance of new product development projects. This article focuses on the impact of integration processes and their outcomes on multidimensional project performance. When considering integration as interaction processes, we find that the degree of interaction is positively correlated with respect for time and prestige. If one succeeds in smoothing the production start-up, which is an outcome of integration, a better respect for time, budget and technical specifications is realized. Finally, we provide some insights into the perceived room to improve integration. Even though perceptions do not always correspond with reality, it is interesting to examine them since product development decisions are often taken in response to an individual's perceptions (Kleinschmidt & Cooper, 1995).
    • Managing the design-manufacturing interface

      Vandevelde, Anneke; Van Dierdonck, Roland; Clarysse, Bart (2002)
      This article describes the major barriers across the design-manufacturing interface and examines ways to overcome them to achieve a smooth production start-up. An integration model reveals that formalization facilitates a smooth production start-up. Independent of the degree of formalization during the early development stages, a formal approach is preferred when the new product is introduced into production. Another facilitating factor is the empathy from design towards manufacturing, which can be stimulated by managerial actions. Although the complexity and newness of product and technology hinder a smooth production start-up, their effect seems to vanish by introducing formalization and by striving for a design team that has empathy towards manufacturing.
    • Meta-heuristic resource constrained project scheduling: solution space restrictions and neighbourhood extensions

      Debels, Dieter; Vanhoucke, Mario (2006)
      The resource-constrained project scheduling problem (RCPSP) has been extensively investigated during the past decades. Due to its strongly NP-hard status and the need for solving large realistic project instances, the recent focus has shifted from exact optimisation procedures to (meta-) heuristic approaches. In this paper, we extend some existing state-of-the-art RCPSP procedures in two ways. First, we extensively test a decomposition approach that splits problem instances into smaller sub-problems to be solved with an (exact or heuristic) procedure, and re-incorporates the obtained solutions for the sub-problems into the solution of the main problem, possibly leading to an overall better solution. Second, we study the influence of an extended neighbourhood search on the performance of a meta-heuristic procedure. Computational results reveal that both techniques are valuable extensions and lead to improved results.
    • New computational results for the discrete time/cost trade-off problem with time-switch constraints

      Vanhoucke, Mario (2002)
      Recently, time-switch constraints have been introduced in literature by Yang and Chen (2000). Basically, these constraints impose a specified starting time on the project activities and force them to be inactive during specified time periods. This type of constraints have been incorporated into the well-known discrete time/cost trade-off problem in order to cope with day, night and weekend shifts. In this paper, we propose a new branch-and-bound algorithm which outperforms the previous one by Vanhoucke et al. (2002a). The procedure makes use of a lower bound calculation for the discrete time/cost trade-off problem (without time-switch constraints). The procedure has been coded in Visual C++, version 6.0 under Windows 2000 and has been validated on a randomly generated problem set. Keywords: Project Management, CPM, Time/cost trade-off problem, Time-switch constraints.
    • New computational results for the nurse scheduling problem: A scatter search algorithm

      Maenhout, Broos; Vanhoucke, Mario (2006)
      In this paper, we present a scatter search algorithm for the well-known nurse scheduling problem (NSP). This problem aims at the construction of roster schedules for nurses taking both hard and soft constraints into account. The objective is to minimize the total preference cost of the nurses and the total penalty cost from violations of the soft constraints. The problem is known to be NP-hard. The contribution of this paper is threefold. First, we are, to the best of our knowledge, the first to present a scatter search algorithm for the NSP. Second, we investigate two different types of solution combination methods in the scatter search framework, based on four different cost elements. Last, we present detailed computational experiments on a benchmark dataset presented recently, and solve these problem instances under different assumptions. We show that our procedure performs consistently well under many different circumstances, and hence, can be considered as robust against case-specific constraints. Keywords: meta-heuristics, scatter search, nurse scheduling