Research Article
BibTex RIS Cite

Year 2022, , 1 - 16, 30.06.2022

Gülçin Bektur

https://doi.org/10.29002/asujse.950133

Abstract

References

  • [1] Z. Chen, Y. Lan, R. Zhao, C. Shang, Deadline-based incentive contracta in project management with cost salience. Fuzzy Optimization and Decision Making 18 (2019) 451-473.
  • [2] A. RezaHoseini, S.F. Ghannadpour, M. Hemmati, A comprehensive mathematical model for resource-constrained multi-objective Project portfolio selection and scheduling considering sustainability and projects splitting. Journal of Cleaner Production 269 (2020) 122073.
  • [3] X. Li, Y. Wang, Q. Yan, X. Zhao, Uncertain mean-variance model for dynamic project portfolio selection problem with divisibility. Fuzzy Optimization and Decision Making 18 (2019) 37-56.
  • [4] H. Ke, W. Ma, J. Ma, Solving project scheduling problem with the philosophy of fuzzy random programming. Fuzzy Optimization and Decision Making 11 (2012) 269-284.
  • [5] M. Shariatmadari, N. Nahavandi, S.H. Zegordi, M.H. Sobhiyah, Integrated resource management for simultaneous Project selection and scheduling. Computers and Industrial Engineering 109 (2017) 39-47.
  • [6] R. Khayamim, S. Shetab-Boushehrib, S. Hosseininasab, H. Karimi, A sustainable approach for selecting and timing the urban transportation infrastructure projects in large-scale networks: A case study of Isfahan, Iran. Sustainable Cities and Society 53 (2020) 101981.
  • [7] R. Mahmoudi, S. Shetab-Boushehri, S.R. Hejazi, A. Emrouznejad, P. Rajabi, A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects. Transportation Research Part E 130 (2019) 161-183.
  • [8] M.A. Coffin, B.W. Taylor, R & D project selection and scheduling with a filtered beam search approach. IIE Transactions 28 (2) (1996) 167-176.
  • [9] F. Ghasemzadeh, N. Archer, P. Iyogun, A zero-one model for project portfolio selection and scheduling. Journal of Operational Research Society 50 (1999) 745-755.
  • [10] W.J. Gutjahr, S. Katzensteiner, P. Reiter, C. Stummer, M. Denk, Competence-driven project portfolio selection, scheduling and staff assignment. Central European Journal of Operational Research 16 (2008) 281-306.
  • [11] A.F. Carazo, T. Gomez, J. Molina, A.G. Hernandez-Diaz, F.M. Guerrero, R. Cballero, Solving a comprehensive model for multiobjective project portfolio selection. Computers and Operations Research 37 (2010) 630-639.
  • [12] S. Liu, C. Wang, Optimizing project selection and scheduling problems with time-dependent resource constraints. Automation in Construction 20 (8) (2011) 1110-1119.
  • [13] Y. Shou, W. Xiang, Y. Li, W. Yao, A multiagent evolutionary algorithm fort he resource-constrained project portfolio selection and scheduling problem. Mathematical Problems in Engineering 2014 (2014) 302684.
  • [14] F. Hassanzadeh, M. Modarres, H. Nemati, K. Amoako-Gyampah, A robust R& D projecr portfolio optimization model for pharmaceutical contract research organizations. International Journal of Production Economics 158 (2014) 18-27.
  • [15] X. Huang, T. Zhao, Project selection and scheduling with uncertain net income and investment cost. Applied Mathematics and Computation 247 (2014) 61-71.
  • [16] J. Pajares, A. Lopez, New methodological approaches to project portfolio management: the role of interactions within projects and portfolios. Procedia-Social and Behavioral Sciences 119 (2014) 645-652.
  • [17] A.A. Tofighian, B. Naderi, Modeling and solving the project selection and scheduling. Computers and Industrial Engineering 83 (2015) 30-38.
  • [18] S. Hosseininasab, S. Shetab-Boushehri, Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem. European Journal of Operational Research 246 (2015) 762-771.
  • [19] X. Huang, T. Zhao, S. Kudratova, Uncertain mean-variance and mean-semivariance models for optimal project selection and scheduling. Knowledge-Based Systems 93 (2016) 1-11.
  • [20] H. Amirian, R. Sahraeian, Solving a grey project selection scheduling using a simulated shuffled frog leaping algorithm. Computers and Industrial Engieering 107 (2017) 141-149.
  • [21] M. Kumar, M.L. Mittal, G. Soni, D. Joshi, A hybrid TLBO-TS algorithm for integrated selection and scheduling of projects. Computers and Industrial Engineering 119 (2018) 121-130.
  • [22] A. Shafahi, A. Haghani, Project selection and scheduling for phase-able projects with interdependencies among phases. Automation in Construction 93 (2018) 47-62.
  • [23] F. Perez, T. Gomez, R. Caballero, V. Liern, Project portfolio selection and planning with fuzzy constraints. Technological Forecasting and Social Change 131 (2018) 117-129.
  • [24] S. Song, F. Yang, Q. Xia, Multi-criteria project portfolio selection and scheduling problem based on acceptability anaysis. Computers and Industrial Engineering 135 (2019) 793-799.
  • [25] R. Nemati-Lafmejani, H. Davari-Ardakani, H. Najafzad, Multi-mode resource constrained project scheduling and contractor selection: Mathematical formulation and metaheuristic algorithms. Applied Soft Computing Journal 81 (2019) 105533.
  • [26] M. Sarnataro, M. Barbati, S. Greco, A portfolio approach for the selection and the timing of urban planning projects. Socio-Economic Planning Sciences 75 (2021) 100908.
  • [27] M. Miralinaghi, S. Seilabi, S. Chen, Y. Hsu, S. Labi, Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework. European Journal of Operational Research 286 (2020) 508-522.
  • [28] D. Chang, Applications of the extent anaysis method on fuzzy AHP. Eropean Journal of Operational Research 95 (1996) 649-655.
  • [29] M. Enea, T. Piazza, Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making 3 (2004) 39-62.
  • [30] H.S. Kilic, A.S. Yalcin, Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection. Applied Soft Computing 93 (2020) 106371.
  • [31] T. Liang, Fuzzy multi– objective project management decisions using two-phase fuzzy goal programming approach. Computers and Industrial Engineering 57(4) (2009) 1407-1416.
  • [32] I. Mahdavi, B. Javadi, N. Sahebjamnia, N. Mahdavi-Amiri, A two-phase linear programming methodology for fuzzy multi-objective mixed model assembly line problem. The International Journal of Advanced Manufacturing Technology 44 (2009) 1010-1023.
  • [33] G. Tuzkaya, H.S. Kilic, C. Aglan, A multi-objective supplier selection and order allocation model for green supply chains. Journal of Management and Information Science 4(3) (2016) 87-96.
  • [34] S.A. Torabi, E. Hassini, An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems 159(2) (2008) 193-214.

A Fuzzy Approach for Generalized Project Selection and Scheduling Problem with Resource Management

Year 2022, , 1 - 16, 30.06.2022

Gülçin Bektur

https://doi.org/10.29002/asujse.950133

Abstract

In this study, the problem of project selection and scheduling with resource management is considered project setup times, dynamic project arrivals, priorities and relationship between projects. A fuzzy multi-objective mixed integer linear programming (MILP) model is proposed for the solution of the problem. The classic two-phase fuzzy goal programming (FGP) approach is modified to solve the proposed multi-objective MILP model. The addressed problem is defined over the project selection and scheduling problem of a construction company. The effect of resource management on the project selection and scheduling problem is demonstrated over the generated test problems. Modified two-phase FGP and classic two-phase FGP approaches are compared over test problems. With the use of the modified two-phase FGP approach, additional alternative solutions are found for the problem.

Keywords

Project selection and scheduling Modified two-phase fuzzy goal programming Fuzzy multi-objective mathematical model Resource management Dynamic project arrivals

References

  • [1] Z. Chen, Y. Lan, R. Zhao, C. Shang, Deadline-based incentive contracta in project management with cost salience. Fuzzy Optimization and Decision Making 18 (2019) 451-473.
  • [2] A. RezaHoseini, S.F. Ghannadpour, M. Hemmati, A comprehensive mathematical model for resource-constrained multi-objective Project portfolio selection and scheduling considering sustainability and projects splitting. Journal of Cleaner Production 269 (2020) 122073.
  • [3] X. Li, Y. Wang, Q. Yan, X. Zhao, Uncertain mean-variance model for dynamic project portfolio selection problem with divisibility. Fuzzy Optimization and Decision Making 18 (2019) 37-56.
  • [4] H. Ke, W. Ma, J. Ma, Solving project scheduling problem with the philosophy of fuzzy random programming. Fuzzy Optimization and Decision Making 11 (2012) 269-284.
  • [5] M. Shariatmadari, N. Nahavandi, S.H. Zegordi, M.H. Sobhiyah, Integrated resource management for simultaneous Project selection and scheduling. Computers and Industrial Engineering 109 (2017) 39-47.
  • [6] R. Khayamim, S. Shetab-Boushehrib, S. Hosseininasab, H. Karimi, A sustainable approach for selecting and timing the urban transportation infrastructure projects in large-scale networks: A case study of Isfahan, Iran. Sustainable Cities and Society 53 (2020) 101981.
  • [7] R. Mahmoudi, S. Shetab-Boushehri, S.R. Hejazi, A. Emrouznejad, P. Rajabi, A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects. Transportation Research Part E 130 (2019) 161-183.
  • [8] M.A. Coffin, B.W. Taylor, R & D project selection and scheduling with a filtered beam search approach. IIE Transactions 28 (2) (1996) 167-176.
  • [9] F. Ghasemzadeh, N. Archer, P. Iyogun, A zero-one model for project portfolio selection and scheduling. Journal of Operational Research Society 50 (1999) 745-755.
  • [10] W.J. Gutjahr, S. Katzensteiner, P. Reiter, C. Stummer, M. Denk, Competence-driven project portfolio selection, scheduling and staff assignment. Central European Journal of Operational Research 16 (2008) 281-306.
  • [11] A.F. Carazo, T. Gomez, J. Molina, A.G. Hernandez-Diaz, F.M. Guerrero, R. Cballero, Solving a comprehensive model for multiobjective project portfolio selection. Computers and Operations Research 37 (2010) 630-639.
  • [12] S. Liu, C. Wang, Optimizing project selection and scheduling problems with time-dependent resource constraints. Automation in Construction 20 (8) (2011) 1110-1119.
  • [13] Y. Shou, W. Xiang, Y. Li, W. Yao, A multiagent evolutionary algorithm fort he resource-constrained project portfolio selection and scheduling problem. Mathematical Problems in Engineering 2014 (2014) 302684.
  • [14] F. Hassanzadeh, M. Modarres, H. Nemati, K. Amoako-Gyampah, A robust R& D projecr portfolio optimization model for pharmaceutical contract research organizations. International Journal of Production Economics 158 (2014) 18-27.
  • [15] X. Huang, T. Zhao, Project selection and scheduling with uncertain net income and investment cost. Applied Mathematics and Computation 247 (2014) 61-71.
  • [16] J. Pajares, A. Lopez, New methodological approaches to project portfolio management: the role of interactions within projects and portfolios. Procedia-Social and Behavioral Sciences 119 (2014) 645-652.
  • [17] A.A. Tofighian, B. Naderi, Modeling and solving the project selection and scheduling. Computers and Industrial Engineering 83 (2015) 30-38.
  • [18] S. Hosseininasab, S. Shetab-Boushehri, Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem. European Journal of Operational Research 246 (2015) 762-771.
  • [19] X. Huang, T. Zhao, S. Kudratova, Uncertain mean-variance and mean-semivariance models for optimal project selection and scheduling. Knowledge-Based Systems 93 (2016) 1-11.
  • [20] H. Amirian, R. Sahraeian, Solving a grey project selection scheduling using a simulated shuffled frog leaping algorithm. Computers and Industrial Engieering 107 (2017) 141-149.
  • [21] M. Kumar, M.L. Mittal, G. Soni, D. Joshi, A hybrid TLBO-TS algorithm for integrated selection and scheduling of projects. Computers and Industrial Engineering 119 (2018) 121-130.
  • [22] A. Shafahi, A. Haghani, Project selection and scheduling for phase-able projects with interdependencies among phases. Automation in Construction 93 (2018) 47-62.
  • [23] F. Perez, T. Gomez, R. Caballero, V. Liern, Project portfolio selection and planning with fuzzy constraints. Technological Forecasting and Social Change 131 (2018) 117-129.
  • [24] S. Song, F. Yang, Q. Xia, Multi-criteria project portfolio selection and scheduling problem based on acceptability anaysis. Computers and Industrial Engineering 135 (2019) 793-799.
  • [25] R. Nemati-Lafmejani, H. Davari-Ardakani, H. Najafzad, Multi-mode resource constrained project scheduling and contractor selection: Mathematical formulation and metaheuristic algorithms. Applied Soft Computing Journal 81 (2019) 105533.
  • [26] M. Sarnataro, M. Barbati, S. Greco, A portfolio approach for the selection and the timing of urban planning projects. Socio-Economic Planning Sciences 75 (2021) 100908.
  • [27] M. Miralinaghi, S. Seilabi, S. Chen, Y. Hsu, S. Labi, Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework. European Journal of Operational Research 286 (2020) 508-522.
  • [28] D. Chang, Applications of the extent anaysis method on fuzzy AHP. Eropean Journal of Operational Research 95 (1996) 649-655.
  • [29] M. Enea, T. Piazza, Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making 3 (2004) 39-62.
  • [30] H.S. Kilic, A.S. Yalcin, Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection. Applied Soft Computing 93 (2020) 106371.
  • [31] T. Liang, Fuzzy multi– objective project management decisions using two-phase fuzzy goal programming approach. Computers and Industrial Engineering 57(4) (2009) 1407-1416.
  • [32] I. Mahdavi, B. Javadi, N. Sahebjamnia, N. Mahdavi-Amiri, A two-phase linear programming methodology for fuzzy multi-objective mixed model assembly line problem. The International Journal of Advanced Manufacturing Technology 44 (2009) 1010-1023.
  • [33] G. Tuzkaya, H.S. Kilic, C. Aglan, A multi-objective supplier selection and order allocation model for green supply chains. Journal of Management and Information Science 4(3) (2016) 87-96.
  • [34] S.A. Torabi, E. Hassini, An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems 159(2) (2008) 193-214.
There are 34 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Gülçin Bektur 0000-0003-4313-7093

Publication Date June 30, 2022
Submission Date June 9, 2021
Acceptance Date February 25, 2022
Published in Issue Year 2022

Cite

APA Bektur, G. (2022). A Fuzzy Approach for Generalized Project Selection and Scheduling Problem with Resource Management. Aksaray University Journal of Science and Engineering, 6(1), 1-16. https://doi.org/10.29002/asujse.950133

Aksaray J. Sci. Eng. | e-ISSN: 2587-1277 | Period: Biannually | Founded: 2017 | Publisher: Aksaray University | https://asujse.aksaray.edu.tr



ASUJSE is indexing&Archiving in

crossref-logo-landscape-100.png    scholar_logo_30dp.png          oaliblogo2.jpg   GettyImages_90309427_montage_255x130px.png search-result-logo-horizontal-TEST.jpg

22644 EBSCO


Creative Commons License