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Detailed schedule
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Thursday 30 January:
Thursday 11:15-12:30 TA-1: COMEX - Optimization 1 Room Vesale 023 - Chair: M. Schyns
Thursday 11:15-12:30 TA-2: Software and Implementation Room Vesale 020 - Chair: M. Mezmaz
Thursday 11:15-12:30 TA-3: COMEX - Smart mobility Room Vesale 025 - Chair: A. Caris
Thursday 11:15-12:30 TA-4: Systems Room Pentagone 0A11 - Chair: P. Kunsch
Thursday 14:00-15:40 TB-1: Data Analysis 1 Room Vesale 023 - Chair: X.Siebert
Thursday 14:00-15:40 TB-2: Multiple Objectives Room Vesale 020 - Chair: Y. de Smet
Thursday 14:00-15:40 TB-3: Logistics Room Vesale 025 - Chair: D. De Wolf
Thursday 14:00-15:40 TB-4: COMEX - Applications to Economy Room Pentagone 0A11 - Chair: W. Brauers
Thursday 14:00-15:40 TB-5: Networks Room Pentagone 0A07 - Chair: B. Fortz
Thursday 16:10-17:25 TC-1: Mixed-integer nonlinear programming Room Vesale 023 - Chair: Y. Crama
- Quadratic reformulations of nonlinear binary optimization problems
Yves Crama (HEC - University of Liege) Co-authors: M. Anthony, E. Boros, A. Gruber
- A Conic Optimization Approach to SKU Rationalization
Tanguy Kegelart (Université catholique de Louvain, Louvain School of Management) Co-authors: Mathieu Van Vyve Abstract: Expanding variety and the number of offered products is attractive for a firm to fit customer needs. Nevertheless, the greater complexity and the proliferation of stock-keeping units (SKUs) without substantial differentiation may not substantially improve customer satisfaction while raising costs.
Based on the principle that the product-line size involves operational implications and particularly manufacturing and holding costs, this paper develops a mixed-integer nonlinear mathematical program (MINLP) to support efficient product portfolio reductions.
Basically, we balance the demand contraction due to customer dissatisfaction by the fixed costs elimination and the risk-pooling effects. Off-the-shelve Mixed-Integer Quadratic Problem (MIQP) solver provides optimal solution to the proposed conic quadratic reformulation, and a real-life industrial case illustrates the program and the algorithm efficiency.
Findings show that mathematical programming subject to various assumptions and estimations is efficient to rationalize portfolios up to at least 400 SKUs.
This paper also opens up further researches on algorithmic improvements, on different modelling of the mentioned observations or on the inclusion of other product range effects on the global profit.
- A hybrid piecewise-linear/Newton's method with corrected Jacobian matrix for multi-period water production and distribution in large networks
Derek Verleye (Ghent University) Co-authors: Derek Verleye
Thursday 16:10-17:25 TC-2: Decision Analysis 1 Room Vesale 020 - Chair: S. Eppe
Thursday 16:10-17:25 TC-3: Routing Room Vesale 025 - Chair: K. Sörensen
Thursday 16:10-17:25 TC-4: Graphs Room Pentagone 0A11 - Chair: H. Mélot
Thursday 16:10-17:25 TC-5: Scheduling Room Pentagone 0A07 - Chair: S. Hanafi
Friday 9:00-10:15 FA-1: Queuing Room Vesale 023 - Chair: S. Wittevrongel
Friday 9:00-10:15 FA-2: Decision Analysis 2 Room Vesale 020 - Chair: R. Bisdorff
Friday 9:00-10:15 FA-3: COMEX - Optimization 2 Room Vesale 025 - Chair: M. Labbé
Friday 9:00-10:15 FA-4: Production Room Pentagone 0A11 - Chair: D. Tuyttens
Friday 14:00-15:40 FB-1: Data Analysis 2 Room Vesale 023 - Chair: P. Fortemps
Friday 14:00-15:40 FB-2: Heuristics Room Vesale 020 - Chair: T. Stützle
Friday 14:00-15:40 FB-3: COMEX - Transportation Room Vesale 025 - Chair: F. Spieksma
Friday 14:00-15:40 FB-4: Health Room Pentagone 0A11 - Chair: G. Vanden Berghe
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