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Mario Vanhoucke
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2020 – today
- 2024
- [j113]Rob Van Eynde, Mario Vanhoucke, José Coelho:
Correction to: on the summary measures for the resource-constrained project scheduling problem. Ann. Oper. Res. 332(1): 1309 (2024) - [j112]Paulo André de Andrade, Mario Vanhoucke, Annelies Martens:
An empirical project forecasting accuracy framework using project regularity. Ann. Oper. Res. 337(2): 501-521 (2024) - [j111]Xin Guan, Tom Servranckx, Mario Vanhoucke:
Risk response budget allocation based on fault tree analysis and optimization. Ann. Oper. Res. 337(2): 523-564 (2024) - [j110]Rob Van Eynde, Mario Vanhoucke, José Coelho:
On the summary measures for the resource-constrained project scheduling problem. Ann. Oper. Res. 337(2): 593-625 (2024) - [j109]Tom Servranckx, José Coelho, Mario Vanhoucke:
Project management and scheduling 2022. Ann. Oper. Res. 338(1): 1-12 (2024) - [j108]Majid Yazdani, Tarik Aouam, Mario Vanhoucke:
An exact decomposition technique for the deadline-constrained discrete time/cost trade-off problem with discounted cash flows. Comput. Oper. Res. 163: 106491 (2024) - [j107]Mario Vanhoucke, José Coelho:
Reducing the feasible solution space of resource-constrained project instances. Comput. Oper. Res. 165: 106567 (2024) - [j106]Dries Bredael, Mario Vanhoucke:
A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem. Eur. J. Oper. Res. 315(1): 19-34 (2024) - [j105]Izel Ünsal-Altuncan, Mario Vanhoucke:
A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks. Eur. J. Oper. Res. 315(2): 511-527 (2024) - [j104]Forough Vaseghi, Annelies Martens, Mario Vanhoucke:
Analysis of the impact of corrective actions for stochastic project networks. Eur. J. Oper. Res. 316(2): 503-518 (2024) - [j103]Tom Servranckx, José Coelho, Mario Vanhoucke:
A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver. Eur. J. Oper. Res. 316(3): 815-827 (2024) - [j102]Mario Vanhoucke, José Coelho:
A matheuristic for the resource-constrained project scheduling problem. Eur. J. Oper. Res. 319(3): 711-725 (2024) - [j101]Broos Maenhout, Mario Vanhoucke:
Dynamic personnel rescheduling: insights and recovery strategies. J. Sched. 27(1): 1-27 (2024) - 2023
- [j100]Rojin Nekoueian, Tom Servranckx, Mario Vanhoucke:
Constructive heuristics for selecting and scheduling alternative subgraphs in resource-constrained projects. Comput. Ind. Eng. 182: 109399 (2023) - [j99]Forough Vaseghi, Mario Vanhoucke:
A comparison of activity ranking methods for taking corrective actions during project control. Comput. Ind. Eng. 183: 109505 (2023) - [j98]José Coelho, Mario Vanhoucke:
New resource-constrained project scheduling instances for testing (meta-)heuristic scheduling algorithms. Comput. Oper. Res. 153: 106165 (2023) - [j97]Jakob Snauwaert, Rob Van Eynde, Mario Vanhoucke:
On the complexity of efficient multi-skilled team composition. Comput. Oper. Res. 157: 106277 (2023) - [j96]Weikang Guo, Mario Vanhoucke, José Coelho:
A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem. Eur. J. Oper. Res. 306(2): 579-595 (2023) - [j95]Jakob Snauwaert, Mario Vanhoucke:
A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem. Eur. J. Oper. Res. 307(1): 1-19 (2023) - [j94]Dries Bredael, Mario Vanhoucke:
Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates. Eur. J. Oper. Res. 308(1): 54-75 (2023) - [j93]Jingyu Luo, Mario Vanhoucke, José Coelho:
Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming. Swarm Evol. Comput. 81: 101339 (2023) - 2022
- [j92]Humyun Fuad Rahman, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, Sondoss El Sawah:
Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints. Appl. Soft Comput. 131: 109764 (2022) - [j91]Jakob Snauwaert, Mario Vanhoucke:
Mathematical formulations for project scheduling problems with categorical and hierarchical skills. Comput. Ind. Eng. 169: 108147 (2022) - [j90]Rob Van Eynde, Mario Vanhoucke:
A reduction tree approach for the Discrete Time/Cost Trade-Off Problem. Comput. Oper. Res. 143: 105750 (2022) - [j89]Pavel Milicka, Premysl Sucha, Mario Vanhoucke, Broos Maenhout:
The bilevel optimisation of a multi-agent project scheduling and staffing problem. Eur. J. Oper. Res. 296(1): 72-86 (2022) - [j88]Jie Song, Annelies Martens, Mario Vanhoucke:
Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control. Eur. J. Oper. Res. 297(2): 451-466 (2022) - [j87]Rob Van Eynde, Mario Vanhoucke:
New summary measures and datasets for the multi-project scheduling problem. Eur. J. Oper. Res. 299(3): 853-868 (2022) - [j86]Jingyu Luo, Mario Vanhoucke, José Coelho, Weikang Guo:
An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem. Expert Syst. Appl. 198: 116753 (2022) - [j85]Tom Servranckx, José Coelho, Mario Vanhoucke:
Various extensions in resource-constrained project scheduling with alternative subgraphs. Int. J. Prod. Res. 60(11): 3501-3520 (2022) - [j84]Xue Li, Zhengwen He, Nengmin Wang, Mario Vanhoucke:
Multimode time-cost-robustness trade-off project scheduling problem under uncertainty. J. Comb. Optim. 43(5): 1173-1202 (2022) - [j83]Rob Van Eynde, Mario Vanhoucke:
A Theoretical Framework for Instance Complexity of the Resource-Constrained Project Scheduling Problem. Math. Oper. Res. 47(4): 3156-3183 (2022) - 2021
- [j82]Xin Guan, Tom Servranckx, Mario Vanhoucke:
An analytical model for budget allocation in risk prevention and risk protection. Comput. Ind. Eng. 161: 107657 (2021) - [j81]Mick Van Den Eeckhout, Mario Vanhoucke, Broos Maenhout:
A column generation-based diving heuristic to solve the multi-project personnel staffing problem with calendar constraints and resource sharing. Comput. Oper. Res. 128: 105163 (2021) - [j80]Tarik Aouam, Foad Ghadimi, Mario Vanhoucke:
Finite inventory budgets in production capacity and safety stock placement under the guaranteed service approach. Comput. Oper. Res. 131: 105266 (2021) - [j79]Mario Vanhoucke, José Coelho:
An analysis of network and resource indicators for resource-constrained project scheduling problem instances. Comput. Oper. Res. 132: 105260 (2021) - [j78]Jie Song, Annelies Martens, Mario Vanhoucke:
Using Schedule Risk Analysis with resource constraints for project control. Eur. J. Oper. Res. 288(3): 736-752 (2021) - [j77]Jakob Snauwaert, Mario Vanhoucke:
A new algorithm for resource-constrained project scheduling with breadth and depth of skills. Eur. J. Oper. Res. 292(1): 43-59 (2021) - [j76]Tom Servranckx, Mario Vanhoucke, Tarik Aouam:
Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity. Eur. J. Oper. Res. 295(3): 1161-1179 (2021) - [j75]Weikang Guo, Mario Vanhoucke, José Coelho, Jingyu Luo:
Automatic detection of the best performing priority rule for the resource-constrained project scheduling problem. Expert Syst. Appl. 167: 114116 (2021) - 2020
- [j74]Mick Van Den Eeckhout, Broos Maenhout, Mario Vanhoucke:
Mode generation rules to define activity flexibility for the integrated project staffing problem with discrete time/resource trade-offs. Ann. Oper. Res. 292(1): 133-160 (2020) - [j73]Louis-Philippe Kerkhove, Mario Vanhoucke:
Multi-mode schedule optimisation for incentivised projects. Comput. Ind. Eng. 142: 106321 (2020) - [j72]Tom Servranckx, Mario Vanhoucke, Giel Vanhouwaert:
Analysing the impact of alternative network structures on resource-constrained schedules: Artificial and empirical experiments. Comput. Ind. Eng. 148: 106706 (2020) - [j71]Foad Ghadimi, Tarik Aouam, Mario Vanhoucke:
Optimizing production capacity and safety stocks in general acyclic supply chains. Comput. Oper. Res. 120: 104938 (2020) - [j70]José Coelho, Mario Vanhoucke:
Going to the core of hard resource-constrained project scheduling instances. Comput. Oper. Res. 121: 104976 (2020) - [j69]Jeroen Burgelman, Mario Vanhoucke:
Project schedule performance under general mode implementation disruptions. Eur. J. Oper. Res. 280(1): 295-311 (2020) - [j68]Mick Van Den Eeckhout, Mario Vanhoucke, Broos Maenhout:
A decomposed branch-and-price procedure for integrating demand planning in personnel staffing problems. Eur. J. Oper. Res. 280(3): 845-859 (2020) - [j67]Jie Song, Annelies Martens, Mario Vanhoucke:
The impact of a limited budget on the corrective action taking process. Eur. J. Oper. Res. 286(3): 1070-1086 (2020) - [j66]Rob Van Eynde, Mario Vanhoucke:
Resource-constrained multi-project scheduling: benchmark datasets and decoupled scheduling. J. Sched. 23(3): 301-325 (2020) - [c11]Jie Song, Tom Servranckx, Annelies Martens, Mario Vanhoucke:
A Simulation Study on the Impact of Activity Crashing on the Project Duration and Cost under Different Budget Release Scenarios. FedCSIS 2020: 603-606
2010 – 2019
- 2019
- [j65]Mario Vanhoucke:
Tolerance limits for project control: An overview of different approaches. Comput. Ind. Eng. 127: 467-479 (2019) - [j64]Mario Vanhoucke, Jordy Batselier:
Fitting activity distributions using human partitioning and statistical calibration. Comput. Ind. Eng. 129: 126-135 (2019) - [j63]Mick Van Den Eeckhout, Broos Maenhout, Mario Vanhoucke:
A heuristic procedure to solve the project staffing problem with discrete time/resource trade-offs and personnel scheduling constraints. Comput. Oper. Res. 101: 144-161 (2019) - [j62]Jeroen Burgelman, Mario Vanhoucke:
Computing project makespan distributions: Markovian PERT networks revisited. Comput. Oper. Res. 103: 123-133 (2019) - [j61]Pieter Leyman, Niels Van Driessche, Mario Vanhoucke, Patrick De Causmaecker:
The impact of solution representations on heuristic net present value optimization in discrete time/cost trade-off project scheduling with multiple cash flow and payment models. Comput. Oper. Res. 103: 184-197 (2019) - [j60]Tarik Aouam, Mario Vanhoucke:
An agency perspective for multi-mode project scheduling with time/cost trade-offs. Comput. Oper. Res. 105: 167-186 (2019) - [j59]Mario Vanhoucke, José Coelho:
Resource-constrained project scheduling with activity splitting and setup times. Comput. Oper. Res. 109: 230-249 (2019) - [j58]Mario Vanhoucke, Jordy Batselier:
A Statistical Method for Estimating Activity Uncertainty Parameters to Improve Project Forecasting. Entropy 21(10): 952 (2019) - [j57]Tom Servranckx, Mario Vanhoucke:
A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs. Eur. J. Oper. Res. 273(3): 841-860 (2019) - [j56]Annelies Martens, Mario Vanhoucke:
The impact of applying effort to reduce activity variability on the project time and cost performance. Eur. J. Oper. Res. 277(2): 442-453 (2019) - [j55]Tom Servranckx, Mario Vanhoucke:
Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules. Eur. J. Oper. Res. 279(1): 38-53 (2019) - 2018
- [j54]Mario Vanhoucke, José Coelho:
A tool to test and validate algorithms for the resource-constrained project scheduling problem. Comput. Ind. Eng. 118: 251-265 (2018) - [j53]José Coelho, Mario Vanhoucke:
An exact composite lower bound strategy for the resource-constrained project scheduling problem. Comput. Oper. Res. 93: 135-150 (2018) - [j52]Broos Maenhout, Mario Vanhoucke:
A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem. Eur. J. Oper. Res. 269(3): 806-823 (2018) - [j51]Jeroen Burgelman, Mario Vanhoucke:
Maximising the weighted number of activity execution modes in project planning. Eur. J. Oper. Res. 270(3): 999-1013 (2018) - 2017
- [j50]Broos Maenhout, Mario Vanhoucke:
A resource type analysis of the integrated project scheduling and personnel staffing problem. Ann. Oper. Res. 252(2): 407-433 (2017) - [j49]Annelies Martens, Mario Vanhoucke:
The integration of constrained resources into top-down project control. Comput. Ind. Eng. 110: 277-288 (2017) - [j48]Louis-Philippe Kerkhove, Mario Vanhoucke, Broos Maenhout:
On the resource renting problem with overtime. Comput. Ind. Eng. 111: 303-319 (2017) - [j47]Yanting Wang, Zhengwen He, Louis-Philippe Kerkhove, Mario Vanhoucke:
On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem. Comput. Ind. Eng. 114: 223-234 (2017) - [j46]Pieter Leyman, Mario Vanhoucke:
Capital- and resource-constrained project scheduling with net present value optimization. Eur. J. Oper. Res. 256(3): 757-776 (2017) - [j45]Mathieu Wauters, Mario Vanhoucke:
A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence. Eur. J. Oper. Res. 259(3): 1097-1111 (2017) - [j44]Louis-Philippe Kerkhove, Mario Vanhoucke:
A parallel multi-objective scatter search for optimising incentive contract design in projects. Eur. J. Oper. Res. 261(3): 1066-1084 (2017) - [j43]Annelies Martens, Mario Vanhoucke:
A buffer control method for top-down project control. Eur. J. Oper. Res. 262(1): 274-286 (2017) - [j42]Cédric Verbeeck, Vincent Van Peteghem, Mario Vanhoucke, Pieter Vansteenwegen, El-Houssaine Aghezzaf:
A metaheuristic solution approach for the time-constrained project scheduling problem. OR Spectr. 39(2): 353-371 (2017) - 2016
- [j41]Pieter Leyman, Mario Vanhoucke:
Payment models and net present value optimization for resource-constrained project scheduling. Comput. Ind. Eng. 91: 139-153 (2016) - [j40]Mario Vanhoucke, José Coelho:
An approach using SAT solvers for the RCPSP with logical constraints. Eur. J. Oper. Res. 249(2): 577-591 (2016) - [j39]Mathieu Wauters, Mario Vanhoucke:
A comparative study of Artificial Intelligence methods for project duration forecasting. Expert Syst. Appl. 46: 249-261 (2016) - [j38]Broos Maenhout, Mario Vanhoucke:
An exact algorithm for an integrated project staffing problem with a homogeneous workforce. J. Sched. 19(2): 107-133 (2016) - 2015
- [j37]Vincent Van Peteghem, Mario Vanhoucke:
Influence of learning in resource-constrained project scheduling. Comput. Ind. Eng. 87: 569-579 (2015) - [j36]Veronique Sels, José Coelho, António Manuel Dias, Mario Vanhoucke:
Hybrid tabu search and a truncated branch-and-bound for the unrelated parallel machine scheduling problem. Comput. Oper. Res. 53: 107-117 (2015) - [j35]Jeroen Colin, Annelies Martens, Mario Vanhoucke, Mathieu Wauters:
A multivariate approach for top-down project control using earned value management. Decis. Support Syst. 79: 65-76 (2015) - [j34]Jeroen Colin, Mario Vanhoucke:
A comparison of the performance of various project control methods using earned value management systems. Expert Syst. Appl. 42(6): 3159-3175 (2015) - [j33]Christophe Van Huele, Mario Vanhoucke:
Operating theatre modelling: integrating social measures. J. Simulation 9(2): 121-128 (2015) - [c10]Mario Vanhoucke, Mathieu Wauters:
Blended Learning in Project Management - Experiences on Business Games and Case Studies. CSEDU (2) 2015: 267-276 - 2014
- [j32]Veronique Sels, Mario Vanhoucke:
A hybrid Electromagnetism-like Mechanism/tabu search procedure for the single machine scheduling problem with a maximum lateness objective. Comput. Ind. Eng. 67: 44-55 (2014) - [j31]Vincent Van Peteghem, Mario Vanhoucke:
An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances. Eur. J. Oper. Res. 235(1): 62-72 (2014) - [j30]Christophe Van Huele, Mario Vanhoucke:
Analysis of the Integration of the Physician Rostering Problem and the Surgery Scheduling Problem. J. Medical Syst. 38(6): 43 (2014) - 2013
- [c9]Broos Maenhout, Mario Vanhoucke:
An Artificial Immune System Based Approach for Solving the Nurse Re-rostering Problem. EvoCOP 2013: 97-108 - 2012
- [j29]Veronique Sels, Mario Vanhoucke:
A hybrid genetic algorithm for the single machine maximum lateness problem with release times and family setups. Comput. Oper. Res. 39(10): 2346-2358 (2012) - 2011
- [j28]Veronique Sels, Frederic Steen, Mario Vanhoucke:
Applying a hybrid job shop procedure to a Belgian manufacturing company producing industrial wheels and castors in rubber. Comput. Ind. Eng. 61(3): 697-708 (2011) - [j27]Broos Maenhout, Mario Vanhoucke:
An evolutionary approach for the nurse rerostering problem. Comput. Oper. Res. 38(10): 1400-1411 (2011) - [j26]José Coelho, Mario Vanhoucke:
Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers. Eur. J. Oper. Res. 213(1): 73-82 (2011) - [j25]Veronique Sels, Kjeld Craeymeersch, Mario Vanhoucke:
A hybrid single and dual population search procedure for the job shop scheduling problem. Eur. J. Oper. Res. 215(3): 512-523 (2011) - [j24]Vincent Van Peteghem, Mario Vanhoucke:
Using resource scarceness characteristics to solve the multi-mode resource-constrained project scheduling problem. J. Heuristics 17(6): 705-728 (2011) - [c8]Veronique Sels, Mario Vanhoucke:
A Hybrid Dual-Population Genetic Algorithm for the Single Machine Maximum Lateness Problem. EvoCOP 2011: 14-25 - 2010
- [j23]Vincent Van Peteghem, Mario Vanhoucke:
A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem. Eur. J. Oper. Res. 201(2): 409-418 (2010) - [j22]Broos Maenhout, Mario Vanhoucke:
A hybrid scatter search heuristic for personalized crew rostering in the airline industry. Eur. J. Oper. Res. 206(1): 155-167 (2010) - [j21]Mario Vanhoucke:
Introducing Optimization Techniques to Students: An Exam Case Distribution Model. INFORMS Trans. Educ. 10(2): 53-61 (2010) - [j20]Broos Maenhout, Mario Vanhoucke:
Branching strategies in a branch-and-price approach for a multiple objective nurse scheduling problem. J. Sched. 13(1): 77-93 (2010)
2000 – 2009
- 2009
- [j19]Mario Vanhoucke, Broos Maenhout:
On the characterization and generation of nurse scheduling problem instances. Eur. J. Oper. Res. 196(2): 457-467 (2009) - [j18]Broos Maenhout, Mario Vanhoucke:
The impact of incorporating nurse-specific characteristics in a cyclical scheduling approach. J. Oper. Res. Soc. 60(12): 1683-1698 (2009) - [c7]Mario Vanhoucke:
A Genetic Algorithm for Net Present Value Maximization for Resource Constrained Projects. EvoCOP 2009: 13-24 - [c6]Vincent Van Peteghem, Mario Vanhoucke:
An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem. EvoCOP 2009: 85-96 - 2008
- [j17]Broos Maenhout, Mario Vanhoucke:
Comparison and hybridization of crossover operators for the nurse scheduling problem. Ann. Oper. Res. 159(1): 333-353 (2008) - [j16]Mario Vanhoucke, Dieter Debels:
The impact of various activity assumptions on the lead time and resource utilization of resource-constrained projects. Comput. Ind. Eng. 54(1): 140-154 (2008) - [j15]Mario Vanhoucke:
Setup times and fast tracking in resource-constrained project scheduling. Comput. Ind. Eng. 54(4): 1062-1070 (2008) - [j14]Mario Vanhoucke, José Coelho, Dieter Debels, Broos Maenhout, Luís Valadares Tavares:
An evaluation of the adequacy of project network generators with systematically sampled networks. Eur. J. Oper. Res. 187(2): 511-524 (2008) - [j13]Eva Labro, Mario Vanhoucke:
Diversity in Resource Consumption Patterns and Robustness of Costing Systems to Errors. Manag. Sci. 54(10): 1715-1730 (2008) - 2007
- [j12]Broos Maenhout, Mario Vanhoucke:
An electromagnetic meta-heuristic for the nurse scheduling problem. J. Heuristics 13(4): 359-385 (2007) - [j11]Dieter Debels, Mario Vanhoucke:
A Decomposition-Based Genetic Algorithm for the Resource-Constrained Project-Scheduling Problem. Oper. Res. 55(3): 457-469 (2007) - [j10]Mario Vanhoucke, S. Vandevoorde:
A simulation and evaluation of earned value metrics to forecast the project duration. J. Oper. Res. Soc. 58(10): 1361-1374 (2007) - [j9]Mario Vanhoucke, Dieter Debels:
The discrete time/cost trade-off problem: extensions and heuristic procedures. J. Sched. 10(4-5): 311-326 (2007) - 2006
- [j8]Dieter Debels, Bert De Reyck, Roel Leus, Mario Vanhoucke:
A hybrid scatter search/electromagnetism meta-heuristic for project scheduling. Eur. J. Oper. Res. 169(2): 638-653 (2006) - [c5]Broos Maenhout, Mario Vanhoucke:
New Computational Results for the Nurse Scheduling Problem: A Scatter Search Algorithm. EvoCOP 2006: 159-170 - [c4]Mario Vanhoucke:
An Efficient Hybrid Search Algorithm for Various Optimization Problems. EvoCOP 2006: 272-283 - [c3]Mario Vanhoucke:
Scheduling an R&D Project with Quality-Dependent Time Slots. ICCSA (3) 2006: 621-630 - 2005
- [j7]Mario Vanhoucke:
New computational results for the discrete time/cost trade-off problem with time-switch constraints. Eur. J. Oper. Res. 165(2): 359-374 (2005) - [c2]Dieter Debels, Mario Vanhoucke:
The Electromagnetism Meta-heuristic Applied to the Resource-Constrained Project Scheduling Problem. Artificial Evolution 2005: 259-270 - [c1]Dieter Debels, Mario Vanhoucke:
A Bi-population Based Genetic Algorithm for the Resource-Constrained Project Scheduling Problem. ICCSA (4) 2005: 378-387 - 2003
- [j6]Mario Vanhoucke, Erik Demeulemeester, Willy Herroelen:
Progress payments in project scheduling problems. Eur. J. Oper. Res. 148(3): 604-620 (2003) - [j5]Erik Demeulemeester, Mario Vanhoucke, Willy Herroelen:
RanGen: A Random Network Generator for Activity-on-the-Node Networks. J. Sched. 6(1): 17-38 (2003) - 2002
- [j4]Mario Vanhoucke, Erik Demeulemeester, Willy Herroelen:
Discrete time/cost trade-offs in project scheduling with time-switch constraints. J. Oper. Res. Soc. 53(7): 741-751 (2002) - 2001
- [j3]Mario Vanhoucke, Erik Demeulemeester, Willy Herroelen:
An Exact Procedure for the Resource-Constrained Weighted Earliness-Tardiness Project Scheduling Problem. Ann. Oper. Res. 102(1-4): 179-196 (2001) - [j2]Mario Vanhoucke, Erik Demeulemeester, Willy Herroelen:
On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints. Manag. Sci. 47(8): 1113-1121 (2001)
1990 – 1999
- 1998
- [j1]Erik Demeulemeester, Bert De Reyck, Bram Foubert, Willy Herroelen, Mario Vanhoucke:
New computational results on the discrete time/cost trade-off problem in project networks. J. Oper. Res. Soc. 49(11): 1153-1163 (1998)
Coauthor Index
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