Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization

The success of any project lies in a great manner on keeping costs in the estimated values, as well as meeting customer required due date. Therefore, there is a current need of developing an information system that facilitates the creation and managing of projects and their processes, including cost...

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Autores:
Jimenez Barros, Miguel Angel
Ramirez Rios, Diana Gineth
Ardila Hernandez, Carlos Julio
Castro, Lauren
Neira Rodado, Dionicio
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7806
Acceso en línea:
https://hdl.handle.net/11323/7806
https://doi.org/10.1007/978-3-030-47679-3_14
https://repositorio.cuc.edu.co/
Palabra clave:
Information systems
DSS
GBO
Multiobjective optimization
Engineering projects
Project management
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/7806
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
title Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
spellingShingle Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
Information systems
DSS
GBO
Multiobjective optimization
Engineering projects
Project management
title_short Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
title_full Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
title_fullStr Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
title_full_unstemmed Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
title_sort Design of a decision support system for multiobjective activity planning and programming using global bacteria optimization
dc.creator.fl_str_mv Jimenez Barros, Miguel Angel
Ramirez Rios, Diana Gineth
Ardila Hernandez, Carlos Julio
Castro, Lauren
Neira Rodado, Dionicio
dc.contributor.author.spa.fl_str_mv Jimenez Barros, Miguel Angel
Ramirez Rios, Diana Gineth
Ardila Hernandez, Carlos Julio
Castro, Lauren
Neira Rodado, Dionicio
dc.subject.spa.fl_str_mv Information systems
DSS
GBO
Multiobjective optimization
Engineering projects
Project management
topic Information systems
DSS
GBO
Multiobjective optimization
Engineering projects
Project management
description The success of any project lies in a great manner on keeping costs in the estimated values, as well as meeting customer required due date. Therefore, there is a current need of developing an information system that facilitates the creation and managing of projects and their processes, including costing schemes, as well as monitoring an optimizing project’s makespan. In order to address this situation a user-friendly information system (IS) was developed. This IS includes an optimization module that reduces the project’s execution time, thus, minimizing costs and ultimately providing the manager with the right tools for the correct development of the project. Therefore, a better planning of activities in a reduced time is accomplished. In this way, the project manager is equipped with a decision support system (DSS) that allows a better decision making and, thanks to this performance optimization, a cost-effective solution can be delivered to the company. The optimization module is the main innovative component in this IS, considering that addresses the problem as a multiobjective one, considering at the same time makespan and cost. This module is based on global bacteria optimization (GBO). This becomes the most relevant improvement when compared to other ISs in the market.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-01-30T14:57:49Z
dc.date.available.none.fl_str_mv 2021-01-30T14:57:49Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1007/978-3-030-47679-3_14
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/7806
https://doi.org/10.1007/978-3-030-47679-3_14
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv 1. Katz, D., Kahn, R.L.: The Social Psychology of Organizations. Wiley, New York (1966). 838 p.
2. Kast, F.E., Rosenzweig, J.E.: Administración de las organizaciones, Madrid (1987)
3. Laudon, K., Laudon, J.: Sistemas de información gerencial, 12th edn. Pearson, Mexico (2011). 640 p.
4. Hansen, D., Mowen, M.: Administración de Costos: Contabilidad y Control, p. 31. Internacional Thomson Editores, Mexico (2003)
5. Horngren, C.T., Foster, G., Datar, S.M.: Contabilidad de Costos, un enfoque gerencial, p. 501. Prentice Hall, México (2007)
6. Alvarez-Valdés, R., Tamarit, J.M.: Heuristic algorithms for resource-constrained project scheduling: a review and empirical analysis. In: Slowinski, R., Weglarz, J. (eds.) Advances in Project Scheduling, pp. 113–134. Elsevier, Amsterdam (1989)
7. Bell, C.G., Han, J.: A new heuristic solution method in resource-constrained project scheduling. Naval Res. Logist. 38, 315–331 (1991)
8. Blazewicz, J., Lenstra, J.K., Rinnooy Kan, A.H.G.: Scheduling projects to resource constraints: classification and complexity. Discrete Appl. Math. 5, 11–24 (1983)
9. Dumond, J., Mabert, V.A.: Evaluating project scheduling and due date assignment procedures: an experimental analysis. Manage. Sci. 34, 101–118 (1988)
10. Elmaghraby, S.E., Herroelen, W.S.: The scheduling of activities to maximize the net present value of projects. Eur. J. Oper. Res. 49(1), 35–49 (1990)
11. Ballestín, F.G.: Nuevos metodos de resolucion del problema de secuenciacion de proyectos con recursos limitados. Doctorate dissertation, Universitat de Valencia, Servei Publicaciones, Valencia (2002)
12. Christofides, N., Alvarez-Valdés, R., Tamarit, J.M.: Project Scheduling with resource constraints: a branch and bound approach. Eur. J. Oper. Res. 29, 262–273 (1987)
13. Boctor, F.F.: Some efficient multi heuristic procedures for resource constrained project scheduling. Eur. J. Oper. Res. 49, 3–13 (1990)
14. Patterson, J.H.: A comparison of exact approaches for solving the multiple constrained resource. Manage. Sci. 30, 854–867 (1984)
15. Davis, E.W., Patterson, J.H.: A comparison heuristic and optimal solution in resource-constrained project scheduling. Manage. Sci. 21, 944–955 (1975)
16. Demeulemeester, E.: Minimizing resource availability cost in time-limited project networks. Manage. Sci. 41, 1590–1598 (1995)
17. Kolisch, R.: Efficient priority rules for the resource-constrained project scheduling problem. J. Oper. Manage. 14, 179–192 (1996)
18. Lee, J.K., Kim, Y.D.: Search heuristics for resource-constrained project scheduling. J. Oper. Res. Soc. 47, 678–689 (1996)
19. Leon, V.J., Ramamoorthy, B.: Strength and adaptability of problem space based neighbourhoods for resource-constrained scheduling. OR Spectr. 17, 173–182 (1995)
20. Patterson, J.H.: Project Scheduling: the effects of problem structure of heuristics. Naval Res. Logist. Q. 23, 95–123 (1976)
21. Patterson, J.H., Roth, G.W.: Scheduling a project under multiple resource constraints: a zero-one programming approach. AIIE Trans. 8, 449–455 (1976)
22. Sampsom, S.E., Weiss, E.N.: Local searches techniques for the generalized resource constrained project scheduling problem. Naval Res. Logist. 40, 665–675 (1993)
23. Mercado, D.R., Sepúlveda, J.A., Pedraza, L.E., Hernández, H.: Modelo de implementación de TIC en el sector transporte de la ciudad de Barranquilla utilizando dinámica de sistemas. Revista Dimensión Empresarial 12(1), 3645 (2014)
24. Microsoft, Project Software. https://products.office.com/es/Project/project-standard-desktop-software. Accessed on: May. 04, 2016
25. Logic Software, Easyprojects Software. https://www.easyprojects.net. Accessed 04 May 2016
26. Vertabase, Project Management Software. http://www.vertabase.com. Accessed 04 May 2016
27. Martínez Marín, S.J., Arango Aramburo, S., Robledo Velásquez, J.: El crecimiento de la industria del software en Colombia: Un análisis sistémico, Revista EIA, Edición 23, pp. 95–106 (2015)
28. Kendall, K.E., Kendall, J.E.: Análisis y diseño de sistemas, 6th edn. Pearson, Mexico (2005). 752 p.
29. Coronell, C., Morris, S.: Database Systems: Design, Implementation, and Management, 11th edn. Cengage Learning, Stamford (2015). 751 p.
30. Amaya Amaya, J.: istemas de información Gerenciales, 2nd edn. Ecoe Ediciones, Bogota (2010). 207 p.
31. Troelsen, A.: Pro C# 5.0 and the.NET 4.5 Framework, 6th edn. Apress, New York (2012)
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spelling Jimenez Barros, Miguel AngelRamirez Rios, Diana GinethArdila Hernandez, Carlos JulioCastro, LaurenNeira Rodado, Dionicio2021-01-30T14:57:49Z2021-01-30T14:57:49Z2020https://hdl.handle.net/11323/7806https://doi.org/10.1007/978-3-030-47679-3_14Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The success of any project lies in a great manner on keeping costs in the estimated values, as well as meeting customer required due date. Therefore, there is a current need of developing an information system that facilitates the creation and managing of projects and their processes, including costing schemes, as well as monitoring an optimizing project’s makespan. In order to address this situation a user-friendly information system (IS) was developed. This IS includes an optimization module that reduces the project’s execution time, thus, minimizing costs and ultimately providing the manager with the right tools for the correct development of the project. Therefore, a better planning of activities in a reduced time is accomplished. In this way, the project manager is equipped with a decision support system (DSS) that allows a better decision making and, thanks to this performance optimization, a cost-effective solution can be delivered to the company. The optimization module is the main innovative component in this IS, considering that addresses the problem as a multiobjective one, considering at the same time makespan and cost. This module is based on global bacteria optimization (GBO). This becomes the most relevant improvement when compared to other ISs in the market.Jimenez Barros, Miguel Angel-will be generated-orcid-0000-0002-8038-7297-600Ramirez Rios, Diana GinethArdila Hernandez, Carlos JulioCastro, Lauren-will be generated-orcid-0000-0001-5201-5659-600Neira Rodado, Dionicio-will be generated-orcid-0000-0003-0837-7083-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Sciencehttps://link.springer.com/chapter/10.1007/978-3-030-47679-3_14Information systemsDSSGBOMultiobjective optimizationEngineering projectsProject managementDesign of a decision support system for multiobjective activity planning and programming using global bacteria optimizationArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Katz, D., Kahn, R.L.: The Social Psychology of Organizations. Wiley, New York (1966). 838 p.2. Kast, F.E., Rosenzweig, J.E.: Administración de las organizaciones, Madrid (1987)3. Laudon, K., Laudon, J.: Sistemas de información gerencial, 12th edn. Pearson, Mexico (2011). 640 p.4. Hansen, D., Mowen, M.: Administración de Costos: Contabilidad y Control, p. 31. Internacional Thomson Editores, Mexico (2003)5. Horngren, C.T., Foster, G., Datar, S.M.: Contabilidad de Costos, un enfoque gerencial, p. 501. Prentice Hall, México (2007)6. Alvarez-Valdés, R., Tamarit, J.M.: Heuristic algorithms for resource-constrained project scheduling: a review and empirical analysis. In: Slowinski, R., Weglarz, J. (eds.) Advances in Project Scheduling, pp. 113–134. Elsevier, Amsterdam (1989)7. Bell, C.G., Han, J.: A new heuristic solution method in resource-constrained project scheduling. Naval Res. Logist. 38, 315–331 (1991)8. Blazewicz, J., Lenstra, J.K., Rinnooy Kan, A.H.G.: Scheduling projects to resource constraints: classification and complexity. Discrete Appl. Math. 5, 11–24 (1983)9. Dumond, J., Mabert, V.A.: Evaluating project scheduling and due date assignment procedures: an experimental analysis. Manage. Sci. 34, 101–118 (1988)10. Elmaghraby, S.E., Herroelen, W.S.: The scheduling of activities to maximize the net present value of projects. Eur. J. Oper. Res. 49(1), 35–49 (1990)11. Ballestín, F.G.: Nuevos metodos de resolucion del problema de secuenciacion de proyectos con recursos limitados. Doctorate dissertation, Universitat de Valencia, Servei Publicaciones, Valencia (2002)12. Christofides, N., Alvarez-Valdés, R., Tamarit, J.M.: Project Scheduling with resource constraints: a branch and bound approach. Eur. J. Oper. Res. 29, 262–273 (1987)13. Boctor, F.F.: Some efficient multi heuristic procedures for resource constrained project scheduling. Eur. J. Oper. Res. 49, 3–13 (1990)14. Patterson, J.H.: A comparison of exact approaches for solving the multiple constrained resource. Manage. Sci. 30, 854–867 (1984)15. Davis, E.W., Patterson, J.H.: A comparison heuristic and optimal solution in resource-constrained project scheduling. Manage. Sci. 21, 944–955 (1975)16. Demeulemeester, E.: Minimizing resource availability cost in time-limited project networks. Manage. Sci. 41, 1590–1598 (1995)17. Kolisch, R.: Efficient priority rules for the resource-constrained project scheduling problem. J. Oper. Manage. 14, 179–192 (1996)18. Lee, J.K., Kim, Y.D.: Search heuristics for resource-constrained project scheduling. J. Oper. Res. Soc. 47, 678–689 (1996)19. Leon, V.J., Ramamoorthy, B.: Strength and adaptability of problem space based neighbourhoods for resource-constrained scheduling. OR Spectr. 17, 173–182 (1995)20. Patterson, J.H.: Project Scheduling: the effects of problem structure of heuristics. Naval Res. Logist. Q. 23, 95–123 (1976)21. Patterson, J.H., Roth, G.W.: Scheduling a project under multiple resource constraints: a zero-one programming approach. AIIE Trans. 8, 449–455 (1976)22. Sampsom, S.E., Weiss, E.N.: Local searches techniques for the generalized resource constrained project scheduling problem. Naval Res. Logist. 40, 665–675 (1993)23. Mercado, D.R., Sepúlveda, J.A., Pedraza, L.E., Hernández, H.: Modelo de implementación de TIC en el sector transporte de la ciudad de Barranquilla utilizando dinámica de sistemas. Revista Dimensión Empresarial 12(1), 3645 (2014)24. Microsoft, Project Software. https://products.office.com/es/Project/project-standard-desktop-software. Accessed on: May. 04, 201625. Logic Software, Easyprojects Software. https://www.easyprojects.net. Accessed 04 May 201626. Vertabase, Project Management Software. http://www.vertabase.com. Accessed 04 May 201627. Martínez Marín, S.J., Arango Aramburo, S., Robledo Velásquez, J.: El crecimiento de la industria del software en Colombia: Un análisis sistémico, Revista EIA, Edición 23, pp. 95–106 (2015)28. Kendall, K.E., Kendall, J.E.: Análisis y diseño de sistemas, 6th edn. Pearson, Mexico (2005). 752 p.29. Coronell, C., Morris, S.: Database Systems: Design, Implementation, and Management, 11th edn. Cengage Learning, Stamford (2015). 751 p.30. Amaya Amaya, J.: istemas de información Gerenciales, 2nd edn. Ecoe Ediciones, Bogota (2010). 207 p.31. Troelsen, A.: Pro C# 5.0 and the.NET 4.5 Framework, 6th edn. 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