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Detailed schedule
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Show all the abstracts
Show all the abstracts
Thursday 11:00:00 Timetabling in education and sport
Room 126 - Chair: G. Vanden Berghe
Thursday 11:00:00 Transportation management
Room 130 - Chair: F. Semet
Thursday 11:00:00 Networks
Room 138 - Chair: B. Fortz
Thursday 11:00:00 Nonconvex optimization 1
Room 035 - Chair: F. Bach
Thursday 14:00:00 Constraint programming models 1
Room 126 - Chair: Y. Deville
Thursday 14:00:00 Vehicle routing
Room 130 - Chair: S. Limbourg
Thursday 14:00:00 Combinatorial optimization and IP applications
Room 138 - Chair: Q. Louveaux
Thursday 14:00:00 Nonconvex Optimization 2
Room 035 - Chair: R. Sepulchre
Thursday 16:10:00 Constraint programming models 2
Room 126 - Chair: P. Schaus
Thursday 16:10:00 Performance modeling
Room 130 - Chair: G. Janssens
- Dynamic Performance Measurement and Evaluation: Will Bridging Paradigms Lead to Improved System Design?
Konstantinos Triantis (Virginia Tech/Northern Virginia Center)
Co-authors: Warren Vaneman, Kalyan Pasupathy
Abstract:
Within the domain of systems engineering, conceptual frameworks are used to assist engineers, managers, and policy makers to determine new or modified system designs. The designs are driven by requirements set typically by the users and are monitored using technical performance measures (TPMs). System designs are considered effective if they meet the pre-determined TPM values along with life-cycle cost and schedule targets. Therefore, in terms of measuring and assessing system design, one would expect synergy between the systems engineering and the performance measurement literatures. One possible synergistic thrust between these two bodies of literature is the modeling and assessment of dynamic system performance. There are many reasons for focusing on the concept of dynamic performance one of them being the effective management of the design process during change initiatives. In spite of the exceptional guidance available in the literature, the activities (e.g., the introduction of new technologies, the implementation of new training programs, etc.) that take place during transitional periods are often the most disruptive, and contain the furthest reaching performance and cost consequences, of any periods in the life-cycle of systems. One of the reasons for this unfortunate result is the failure of change techniques and methods to identify an efficient path of transition, from the old way of doing business, to a new performance paradigm. The organization’s ability to master these transient periods is fundamental to achieving steady state operations more efficiently, thus reducing losses due to sub-optimal performance. An approach to that can directly account for dynamic performance measurement and evaluation during these transitional periods is the dynamic performance measurement model (DPEM). DPEM explicitly considers causal relationships within an operational environment and allows for the testing of different design alternatives. The primary objective of this paper is to present this approach and review it in relation to other dynamic measurement approaches found in the literature. Examples (the provision of electric power, data archival and maintenance and the provision of social services within service supply chain) are discussed that illustrate the implementation of the approach. Another objective of this paper is to discuss why dynamic considerations can potentially lead to improved system designs. A tertiary objective is to outline specific future modeling and implementation challenges that require further research.
- Measuring the Technical Efficiency of Airports in Latin America and the Caribbean
Sergio Perelman (Université de Liège)
Co-authors: Tomas Serebrisky
- Developments in Freight Modeling
Justyna Bakowska (Hasselt University)
Co-authors: An Caris, Katrien Ramaekers,Gerrit Janssens, Tom Bellemans
Thursday 16:10:00 Scheduling
Room 138 - Chair: K. Sorensen
Thursday 16:10:00 Planning under uncertainty
Room 035 - Chair: R. Leus
Friday 09:00:00 Metaheuristics
Room 126 - Chair: J. Teghem
Friday 09:25:00 Production and distribution (9:25)
Room 130 - Chair: Y. Arda
Friday 09:00:00 Multiple criteria
Room 138 - Chair: R. Bisdorff
Friday 09:25:00 Stochastic models (9:25)
Room 035 - Chair: L. Esch
Friday 11:00:00 Constraint programming and Supply Chain Management
Room 126 - Chair: Y. Deville
Friday 11:00:00 OR in health management
Room 130 - Chair: P. De Causmaecker
Friday 11:00:00 Rankings and importance indices
Room 138 - Chair: JL. Marichal
Friday 11:00:00 Queueing
Room 035 - Chair: S. Wittevrongel
Friday 15:10:00 Optimization software
Room 126 - Chair: E. Loute
Friday 15:10:00 Integrated operations planning
Room 130 - Chair: B. Raa
Friday 15:10:00 Cycles in graphs
Room 138 - Chair: F. Spieksma
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