- -

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Paper_PonzTiendaE ...
Tamaño: 826.3Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: Ponz-Tienda_et_al ...
Tamaño: 1.748Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Ponz Tienda, José Luis es_ES
dc.contributor.author Pellicer Armiñana, Eugenio es_ES
dc.contributor.author Benlloch Marco, Javier es_ES
dc.contributor.author Andrés Romano, Carlos es_ES
dc.date.accessioned 2016-02-05T15:05:46Z
dc.date.available 2016-02-05T15:05:46Z
dc.date.issued 2015-11
dc.identifier.issn 1093-9687
dc.identifier.uri http://hdl.handle.net/10251/60664
dc.description.abstract In scheduling, estimations are affected by the imprecision of limited information on future events, and the reduction in the number and level of detail of activities. Overlapping of processes and activities requires the study of their continuity, along with analysis of the risks associated with imprecision. In this line, this paper proposes a fuzzy heuristic model for the Project Scheduling Problem with flows and minimal feeding, time and work Generalized Precedence Relations with a realistic approach to overlapping, in which the continuity of processes and activities is allowed in a discretionary way. This fuzzy algorithm handles the balance of process flows, and computes the optimal fragmentation of tasks, avoiding the interruption of the critical path and reverse criticality. The goodness of this approach is tested on several problems found in the literature; furthermore, an example of a 15-story building was used to compare the better performance of the algorithm implemented in Visual Basic for Applications (Excel) over that same example input in Primavera© P6 Professional V8.2.0, using five different scenarios. es_ES
dc.description.sponsorship This research was supported by the FAPA program of Universidad de Los Andes, Colombia. The authors would like to thank the research group of Construction Engineering and Management (INgeco) of Universidad de Los Andes, and the five anonymous referees for their helpful and constructive suggestions. en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof Computer-Aided Civil and Infrastructure Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Project Scheduling Problem es_ES
dc.subject Fuzzy Heuristic Model es_ES
dc.subject Generalized Precedence Relations es_ES
dc.subject Project Management es_ES
dc.subject Activity Splitting es_ES
dc.subject Process Flow es_ES
dc.subject Reverse Criticality es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.subject.classification CONSTRUCCIONES ARQUITECTONICAS es_ES
dc.title The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/mice.12166
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Ponz Tienda, JL.; Pellicer Armiñana, E.; Benlloch Marco, J.; Andrés Romano, C. (2015). The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations. Computer-Aided Civil and Infrastructure Engineering. 30(11):872-891. doi:10.1111/mice.12166 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1111/mice.12166 es_ES
dc.description.upvformatpinicio 872 es_ES
dc.description.upvformatpfin 891 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 30 es_ES
dc.description.issue 11 es_ES
dc.relation.senia 294014 es_ES
dc.identifier.eissn 1467-8667
dc.contributor.funder Universidad de los Andes, Colombia es_ES
dc.description.references Adeli, H., & Park, H. S. (1995). Optimization of space structures by neural dynamics. Neural Networks, 8(5), 769-781. doi:10.1016/0893-6080(95)00026-v es_ES
dc.description.references Adeli, H., & Karim, A. (1997). Scheduling/Cost Optimization and Neural Dynamics Model for Construction. Journal of Construction Engineering and Management, 123(4), 450-458. doi:10.1061/(asce)0733-9364(1997)123:4(450) es_ES
dc.description.references Adeli, H., & Wu, M. (1998). Regularization Neural Network for Construction Cost Estimation. Journal of Construction Engineering and Management, 124(1), 18-24. doi:10.1061/(asce)0733-9364(1998)124:1(18) es_ES
dc.description.references Alarcón, L. F., Ashley, D. B., de Hanily, A. S., Molenaar, K. R., & Ungo, R. (2011). Risk Planning and Management for the Panama Canal Expansion Program. Journal of Construction Engineering and Management, 137(10), 762-771. doi:10.1061/(asce)co.1943-7862.0000317 es_ES
dc.description.references Ammar, M. A. (2013). LOB and CPM Integrated Method for Scheduling Repetitive Projects. Journal of Construction Engineering and Management, 139(1), 44-50. doi:10.1061/(asce)co.1943-7862.0000569 es_ES
dc.description.references Arditi, D., & Bentotage, S. N. (1996). System for Scheduling Highway Construction Projects. Computer-Aided Civil and Infrastructure Engineering, 11(2), 123-139. doi:10.1111/j.1467-8667.1996.tb00316.x es_ES
dc.description.references Bai, L., Yan, L., & Ma, Z. M. (2014). Querying fuzzy spatiotemporal data using XQuery. Integrated Computer-Aided Engineering, 21(2), 147-162. doi:10.3233/ica-130454 es_ES
dc.description.references Ballesteros-Pérez, P., González-Cruz, M. C., Cañavate-Grimal, A., & Pellicer, E. (2013). Detecting abnormal and collusive bids in capped tendering. Automation in Construction, 31, 215-229. doi:10.1016/j.autcon.2012.11.036 es_ES
dc.description.references Bartusch, M., Möhring, R. H., & Radermacher, F. J. (1988). Scheduling project networks with resource constraints and time windows. Annals of Operations Research, 16(1), 199-240. doi:10.1007/bf02283745 es_ES
dc.description.references Bianco, L., & Caramia, M. (2011). Minimizing the completion time of a project under resource constraints and feeding precedence relations: a Lagrangian relaxation based lower bound. 4OR, 9(4), 371-389. doi:10.1007/s10288-011-0168-6 es_ES
dc.description.references Bonnal, P., Gourc, D., & Lacoste, G. (2004). Where Do We Stand with Fuzzy Project Scheduling? Journal of Construction Engineering and Management, 130(1), 114-123. doi:10.1061/(asce)0733-9364(2004)130:1(114) es_ES
dc.description.references Brunelli, M., & Mezei, J. (2013). How different are ranking methods for fuzzy numbers? A numerical study. International Journal of Approximate Reasoning, 54(5), 627-639. doi:10.1016/j.ijar.2013.01.009 es_ES
dc.description.references Buckley, J. J., & Eslami, E. (2002). An Introduction to Fuzzy Logic and Fuzzy Sets. doi:10.1007/978-3-7908-1799-7 es_ES
dc.description.references Castro-Lacouture, D., Süer, G. A., Gonzalez-Joaqui, J., & Yates, J. K. (2009). Construction Project Scheduling with Time, Cost, and Material Restrictions Using Fuzzy Mathematical Models and Critical Path Method. Journal of Construction Engineering and Management, 135(10), 1096-1104. doi:10.1061/(asce)0733-9364(2009)135:10(1096) es_ES
dc.description.references Chanas, S., & Kamburowski, J. (1981). The use of fuzzy variables in pert. Fuzzy Sets and Systems, 5(1), 11-19. doi:10.1016/0165-0114(81)90030-0 es_ES
dc.description.references In Seong Chang, Yasuhiro Tsujimura, Mitsuo Gen, & Tatsumi Tozawa. (1995). An efficient approach for large scale project planning based on fuzzy Delphi method. Fuzzy Sets and Systems, 76(3), 277-288. doi:10.1016/0165-0114(94)00385-4 es_ES
dc.description.references Chen, C.-T., & Huang, S.-F. (2007). Applying fuzzy method for measuring criticality in project network. Information Sciences, 177(12), 2448-2458. doi:10.1016/j.ins.2007.01.035 es_ES
dc.description.references Shyi-Ming Chen, & Tao-Hsing Chang. (2001). Finding multiple possible critical paths using fuzzy PERT. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 31(6), 930-937. doi:10.1109/3477.969496 es_ES
dc.description.references Damci, A., Arditi, D., & Polat, G. (2013). Resource Leveling in Line-of-Balance Scheduling. Computer-Aided Civil and Infrastructure Engineering, 28(9), 679-692. doi:10.1111/mice.12038 es_ES
dc.description.references Dell’Orco, M., & Mellano, M. (2013). A New User-Oriented Index, Based on a Fuzzy Inference System, for Quality Evaluation of Rural Roads. Computer-Aided Civil and Infrastructure Engineering, 28(8), 635-647. doi:10.1111/mice.12021 es_ES
dc.description.references Deng, H. (2014). Comparing and ranking fuzzy numbers using ideal solutions. Applied Mathematical Modelling, 38(5-6), 1638-1646. doi:10.1016/j.apm.2013.09.012 es_ES
dc.description.references De Reyck, B., & Herroelen, willy. (1998). A branch-and-bound procedure for the resource-constrained project scheduling problem with generalized precedence relations. European Journal of Operational Research, 111(1), 152-174. doi:10.1016/s0377-2217(97)00305-6 es_ES
dc.description.references De Reyck, B., & Herroelen, W. (1999). The multi-mode resource-constrained project scheduling problem with generalized precedence relations. European Journal of Operational Research, 119(2), 538-556. doi:10.1016/s0377-2217(99)00151-4 es_ES
dc.description.references Dubois, D., Fargier, H., & Galvagnon, V. (2003). On latest starting times and floats in activity networks with ill-known durations. European Journal of Operational Research, 147(2), 266-280. doi:10.1016/s0377-2217(02)00560-x es_ES
dc.description.references Elmaghraby, S. E., & Kamburowski, J. (1992). The Analysis of Activity Networks Under Generalized Precedence Relations (GPRs). Management Science, 38(9), 1245-1263. doi:10.1287/mnsc.38.9.1245 es_ES
dc.description.references Fondahl , J. W. 1961 A Non-Computer Approach to the Critical Path Method for the Construction Industry es_ES
dc.description.references Fougères, A.-J., & Ostrosi, E. (2013). Fuzzy agent-based approach for consensual design synthesis in product configuration. Integrated Computer-Aided Engineering, 20(3), 259-274. doi:10.3233/ica-130434 es_ES
dc.description.references Gil-Aluja, J. (2004). Fuzzy Sets in the Management of Uncertainty. Studies in Fuzziness and Soft Computing. doi:10.1007/978-3-540-39699-4 es_ES
dc.description.references Hajdu, M. (1997). Network Scheduling Techniques for Construction Project Management. Nonconvex Optimization and Its Applications. doi:10.1007/978-1-4757-5951-8 es_ES
dc.description.references Harris, R. B., & Ioannou, P. G. (1998). Scheduling Projects with Repeating Activities. Journal of Construction Engineering and Management, 124(4), 269-278. doi:10.1061/(asce)0733-9364(1998)124:4(269) es_ES
dc.description.references Hejducki, Z. (2004). Sequencing problems in methods of organising construction processes. Engineering, Construction and Architectural Management, 11(1), 20-32. doi:10.1108/09699980410512638 es_ES
dc.description.references Hebert, J. E., & Deckro, R. F. (2011). Combining contemporary and traditional project management tools to resolve a project scheduling problem. Computers & Operations Research, 38(1), 21-32. doi:10.1016/j.cor.2009.12.004 es_ES
dc.description.references Herroelen, W., & Leus, R. (2005). Project scheduling under uncertainty: Survey and research potentials. European Journal of Operational Research, 165(2), 289-306. doi:10.1016/j.ejor.2004.04.002 es_ES
dc.description.references IBM 1968 es_ES
dc.description.references Jahani, E., Muhanna, R. L., Shayanfar, M. A., & Barkhordari, M. A. (2013). Reliability Assessment with Fuzzy Random Variables Using Interval Monte Carlo Simulation. Computer-Aided Civil and Infrastructure Engineering, 29(3), 208-220. doi:10.1111/mice.12028 es_ES
dc.description.references Karim, A., & Adeli, H. (1999). OO Information Model for Construction Project Management. Journal of Construction Engineering and Management, 125(5), 361-367. doi:10.1061/(asce)0733-9364(1999)125:5(361) es_ES
dc.description.references Karim, A., & Adeli, H. (1999). CONSCOM: An OO Construction Scheduling and Change Management System. Journal of Construction Engineering and Management, 125(5), 368-376. doi:10.1061/(asce)0733-9364(1999)125:5(368) es_ES
dc.description.references KARIM, A., & ADELI, H. (1999). A new generation software for construction scheduling and management. Engineering, Construction and Architectural Management, 6(4), 380-390. doi:10.1108/eb021126 es_ES
dc.description.references Kim, S.-G. (2012). CPM Schedule Summarizing Function of the Beeline Diagramming Method. Journal of Asian Architecture and Building Engineering, 11(2), 367-374. doi:10.3130/jaabe.11.367 es_ES
dc.description.references Kis, T. (2005). A branch-and-cut algorithm for scheduling of projects with variable-intensity activities. Mathematical Programming, 103(3), 515-539. doi:10.1007/s10107-004-0551-6 es_ES
dc.description.references Kolisch, R., & Sprecher, A. (1997). PSPLIB - A project scheduling problem library. European Journal of Operational Research, 96(1), 205-216. doi:10.1016/s0377-2217(96)00170-1 es_ES
dc.description.references Krishnan, V., Eppinger, S. D., & Whitney, D. E. (1997). A Model-Based Framework to Overlap Product Development Activities. Management Science, 43(4), 437-451. doi:10.1287/mnsc.43.4.437 es_ES
dc.description.references LEACHMAN, R. C., DTNCERLER, A., & KIM, S. (1990). Resource-Constrained Scheduling of Projects with Variable-Intensity Activities. IIE Transactions, 22(1), 31-40. doi:10.1080/07408179008964155 es_ES
dc.description.references Lim, T.-K., Yi, C.-Y., Lee, D.-E., & Arditi, D. (2014). Concurrent Construction Scheduling Simulation Algorithm. Computer-Aided Civil and Infrastructure Engineering, 29(6), 449-463. doi:10.1111/mice.12073 es_ES
dc.description.references Long, L. D., & Ohsato, A. (2008). Fuzzy critical chain method for project scheduling under resource constraints and uncertainty. International Journal of Project Management, 26(6), 688-698. doi:10.1016/j.ijproman.2007.09.012 es_ES
dc.description.references Lootsma, F. A. (1989). Stochastic and fuzzy Pert. European Journal of Operational Research, 43(2), 174-183. doi:10.1016/0377-2217(89)90211-7 es_ES
dc.description.references Malcolm, D. G., Roseboom, J. H., Clark, C. E., & Fazar, W. (1959). Application of a Technique for Research and Development Program Evaluation. Operations Research, 7(5), 646-669. doi:10.1287/opre.7.5.646 es_ES
dc.description.references Maravas, A., & Pantouvakis, J.-P. (2011). Fuzzy Repetitive Scheduling Method for Projects with Repeating Activities. Journal of Construction Engineering and Management, 137(7), 561-564. doi:10.1061/(asce)co.1943-7862.0000319 es_ES
dc.description.references PONZ TIENDA, J. L., BENLLOCH MARCO, J., ANDRÉS ROMANO, C., & SENABRE, D. (2011). Un algoritmo matricial RUPSP / GRUPSP «sin interrupción» para la planificación de la producción bajo metodología Lean Construction basado en procesos productivos. Revista de la construcción, 10(2), 90-103. doi:10.4067/s0718-915x2011000200009 es_ES
dc.description.references Ponz-Tienda, J. L., Pellicer, E., & Yepes, V. (2012). Complete fuzzy scheduling and fuzzy earned value management in construction projects. Journal of Zhejiang University SCIENCE A, 13(1), 56-68. doi:10.1631/jzus.a1100160 es_ES
dc.description.references Ponz-Tienda, J. L., Yepes, V., Pellicer, E., & Moreno-Flores, J. (2013). The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm. Automation in Construction, 29, 161-172. doi:10.1016/j.autcon.2012.10.003 es_ES
dc.description.references Prade, H. (1979). Using fuzzy set theory in a scheduling problem: A case study. Fuzzy Sets and Systems, 2(2), 153-165. doi:10.1016/0165-0114(79)90022-8 es_ES
dc.description.references Quintanilla, S., Pérez, Á., Lino, P., & Valls, V. (2012). Time and work generalised precedence relationships in project scheduling with pre-emption: An application to the management of Service Centres. European Journal of Operational Research, 219(1), 59-72. doi:10.1016/j.ejor.2011.12.018 es_ES
dc.description.references Rommelfanger, H. J. (1994). Network analysis and information flow in fuzzy environment. Fuzzy Sets and Systems, 67(1), 119-128. doi:10.1016/0165-0114(94)90212-7 es_ES
dc.description.references Senouci, A. B., & Adeli, H. (2001). Resource Scheduling Using Neural Dynamics Model of Adeli and Park. Journal of Construction Engineering and Management, 127(1), 28-34. doi:10.1061/(asce)0733-9364(2001)127:1(28) es_ES
dc.description.references Seppänen, O., Evinger, J., & Mouflard, C. (2014). Effects of the location-based management system on production rates and productivity. Construction Management and Economics, 32(6), 608-624. doi:10.1080/01446193.2013.853881 es_ES
dc.description.references Shi, Q., & Blomquist, T. (2012). A new approach for project scheduling using fuzzy dependency structure matrix. International Journal of Project Management, 30(4), 503-510. doi:10.1016/j.ijproman.2011.11.003 es_ES
dc.description.references Srour, I. M., Abdul-Malak, M.-A. U., Yassine, A. A., & Ramadan, M. (2013). A methodology for scheduling overlapped design activities based on dependency information. Automation in Construction, 29, 1-11. doi:10.1016/j.autcon.2012.08.001 es_ES
dc.description.references Valls, V., & Lino, P. (2001). Annals of Operations Research, 102(1/4), 17-37. doi:10.1023/a:1010941729204 es_ES
dc.description.references Valls, V., Mart�, R., & Lino, P. (1996). A heuristic algorithm for project scheduling with splitting allowed. Journal of Heuristics, 2(1), 87-104. doi:10.1007/bf00226294 es_ES
dc.description.references Wang, Y.-M., Yang, J.-B., Xu, D.-L., & Chin, K.-S. (2006). On the centroids of fuzzy numbers. Fuzzy Sets and Systems, 157(7), 919-926. doi:10.1016/j.fss.2005.11.006 es_ES
dc.description.references Wiest, J. D. (1981). Precedence diagramming method: Some unusual characteristics and their implications for project managers. Journal of Operations Management, 1(3), 121-130. doi:10.1016/0272-6963(81)90015-2 es_ES
dc.description.references Yan, L., & Ma, Z. M. (2013). Conceptual design of object-oriented databases for fuzzy engineering information modeling. Integrated Computer-Aided Engineering, 20(2), 183-197. doi:10.3233/ica-130427 es_ES
dc.description.references Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-x es_ES
dc.description.references Zeng, Z., Xu, J., Wu, S., & Shen, M. (2014). Antithetic Method-Based Particle Swarm Optimization for a Queuing Network Problem with Fuzzy Data in Concrete Transportation Systems. Computer-Aided Civil and Infrastructure Engineering, 29(10), 771-800. doi:10.1111/mice.12111 es_ES
dc.description.references Zhang, X., Li, Y., Zhang, S., & Schlick, C. M. (2013). Modelling and simulation of the task scheduling behavior in collaborative product development process. Integrated Computer-Aided Engineering, 20(1), 31-44. doi:10.3233/ica-120417 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem