- باقرزاده رحمانی، سارا، رضائیان زیدی، جواد و ابراهیمی، احمد. (1403). زمان بندی دو هدفه پروژهها با گروههای کاری چند مهارته، اثر یادگیری و زمانهای راه اندازی و پردازش وابسته به گروه کاری. نشریه پژوهشهای مهندسی صنایع در سیستمهای تولید.IER-2407-2174
- دانشگری، نیما، نوری، سیامک و ایمانی، محمد. (1401). مدل زمانبندی پروژه به منظور تخصیص و تسطیح منابع محدود در شرایط عدم قطعیت با رویکرد الگوریتمهای فراابتکاری. فصلنامه پژوهشنامه مدیریت و مهندسی صنایع دوره 4، شماره 12، پاییز 1401، صفحات 87 - 105، https://jomaier.ir/fa/showart-b5e93284513fdbbb7dbe364a8a27960d.
- صالحی، مجتبی، رحیمی، یلدا و شریعتی، شهره. (1402). مدل سازی چندهدفۀ فازی زمان بندی پروژه با محدودیت منابع چندمهارته با قابلیت تغییر سطح مهارتها و انقطاع فعالیتها. پژوهش در مدیریت تولید و عملیات، دوره 14، شماره 1، پیاپی 32، بهار 1402، صفحه 1-20، 22108/pom.2023.135716.1478 doi:
- یوسفزاده، حمیدرضا. (1400). حل مسئله خدمات مراقبتی- درمانی در منزل با رویکرد زمانبندی پروژه با منابع محدود. پژوهشهای نوین در ریاضی، سال هفتم، شماره 30. https://sid.ir/paper/950247/en.
- Ahmadov, Y., & Helo, P. (2018). A cloud based job sequencing with sequence-dependent setup for sheet metal manufacturing. Annals of Operations Research, 270, 5–24, http://link.springer.com/10.1007/s10479-016-2304-3
- Almeida, B. F., Correia, I., & Saldanha‐da‐Gama, F. (2019). Modeling frameworks for the multi‐skill resource‐constrained project scheduling problem: a theoretical and empirical comparison. International Transactions in Operational Research, 26(3), 946-967, https://doi.org/10.1111/itor.12568
- Arik, O.A. (2019). Project scheduling and staff allocation problem with time-dependent learning effect: a mixed integer non-linear programming approach. Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering, 20(3), 204-215. https://doi.org/10.18038/estubtda.624291
- Arnaout, JP., Musa, R. & Rabadi, G. (2014). A two-stage Ant Colony optimization algorithm to minimize the makespan on unrelated parallel machines-Part II: enhancements and experimentations. Journal of Intelligent Manufacturing, 25(1), 43–53. https://doi.org/10.1007/s10845-012-0672-3
- Attia, E., Duquenne, P., & Lann, J. (2014). Considering skills evolutions in multi-skilled workforce allocation with flexible working hours. International Journal of Production Research. vol. 52 (n°15), pp. 4548-4573. https://doi.org/10.1080/00207543.2013.877613
- Barghi, B., & Sikari, S. S,. 2022. Meta-heuristic solution with considering setup time for multi-skilled project scheduling problem. Vol. 3. Operations Research Forum: Springer. 24(10):1-17. DOI:1007/s43069-021-00117-5
- Afshar-Nadjafi, B., & Majlesi, M,. (2014). Resource constrained project scheduling problem with setup times after preemptive processes. Computers and Chemical Engineering 69 16–25. https://doi.org/10.1016/j.compchemeng.2014.06.012
- Blazewicz, J., Lenstra, J. K., & Kan, A. R. (1983). Scheduling subject to resource constraints: classification and complexity. Discrete applied mathematics, 5(1), 11-24. https://doi.org/10.1016/0166-218X(83)90012-4
- Chen, J. C., Chen, Y. Y., Chen, T. L., & Lin, Y. H. (2022). Multi-project scheduling with multi-skilled workforce assignment considering uncertainty and learning effect for large-scale equipment manufacturer. Computers & Industrial Engineering, 169, 108240. https://doi.org/10.1016/j.cie.2022.108240
- Deb, K., Pratap, A., Agarwal, S., Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2),182-197. https://doi.org/10.1109/4235.996017
- Demeulemeester, E., & Herroelen, W. (1996). A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management science, 38(12), 1803-1818. https://doi.org/10.1287/mnsc.38.12.1803
- Al-Anzi, F., Al-Zame, K. & Allahverdi, A. (2010). Weighted Multi-Skill Resources Project Scheduling. Journal of Software Engineering and Applications, 3, 1125-1130. doi: 4236/jsea.2010.312131
- Habibi, F., Barzinpour, F., & Sadjadi, S.,. (2017). A multi-objective optimization model for project scheduling with time-varying resource requirements and capacities. Journal of industrial and systems engineering. 10(special issue on scheduling), 92-118. https://api.semanticscholar.org/CorpusID:53481950
- Haroune, M., Dhib, C., Neron, E., Soukhal, A., Mohamed Babou, H., & Nanne, M. F. (2023). Multi-project scheduling problem under shared multi-skill resource constraints. Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, 31(1), pages 194-235, April http://dx.doi.org/10.1007/s11750-022-00633-5
- Hosseinian, A. H., & Baradaran, V. (2020). P-GWO and MOFA: two new algorithms for the MSRCPSP with the deterioration effect and financial constraints (case study of a gas treating company). Applied Intelligence, 50, 2151-2176. https://doi.org/10.1007/s10489-020-01663-x
- Han, J., Chen, C., Tiong, R. L. K. & Wu, K. (2024). Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production. Automation in Construction, 166, 105626-. DOI:1016/j.autcon.2024.105626.
- Lian, J., Liu, C., Li, W., & Yin, Y., (2018). A multi-skilled worker assignment problem in seru production systems considering the worker heterogeneity, Computers & Industrial Engineering, Vol. 118, pp. 366-382. https://doi.org/10.1016/j.cie.2018.02.035
- Li, L., Zhang, H.,& Bai, S,. 2024. A multi-surrogate genetic programming hyper-heuristic algorithm for the manufacturing project scheduling problem with setup times under dynamic and interference environments. Expert Systems with Applications. vol. 250: 123854. https://doi.org/10.1016/j.eswa.2024.123854.
- Li, Q., Jiang, M., & Tao, Sh., Hao, J., & Chong, H.Y. (2023). The Integrated Problem of Construction Project Scheduling and Multiskilled Staff Assignment with Learning Effect. Journal of Construction Engineering and Management. 149. vol. 149, no. 8: 04023064. https://doi.org/10.1061/jcemd4.coeng-13150
- Hematian, M., Seyyed Esfahani, M.M., Mahdavi, I., Mahdavi-Amiri, N., & Rezaeian, J.. (2020). A multi-objective optimization model for multiple project scheduling and multi-skill human resource assignment problem based on learning and forgetting effect and activities' quality level. Journal of Industrial Engineering and Management Studies. Vol. 7, No. 2, 2020, pp. 98-118. https://doi.org/10.22116/jiems.2020.210566.1319.
- Mika, M., Waligóra, G., & Weglarz, J. (2006). Modelling Setup Times in Project Scheduling. International Series in Operations Research & Management Science, vol 92. Springer, Boston, MA (pp.131-163) . DOI:1007/978-0-387-33768-5_6.
- Mozhdehi, S., Baradaran, V. & Hosseinian, A.H. (2024). Multi-skilled resource-constrained multi-project scheduling problem with dexterity improvement of workforce. Automation in Construction 162 (2024) 105360. https://doi.org/10.1016/j.autcon.2024.105360.
- Su, B., Xie, N., & Yang, Y. (2021). Hybrid genetic algorithm based on bin packing strategy for the unrelated parallel workgroup scheduling problem. Journal of Intelligent Manufacturing,32(4), 957-969. https://doi.org/10.1007/s10845-020-01597-8
- Taguchi, G. (1986). Introduction to Quality Engineering: Designing Quality into Products and Processes. Asian Productivity Organization, Tokyo.
- Taheri Amiri, M.J, Haghighi, F.R., Eshtehardian, E.,& Abessi, O. 2018. Multi-project time-cost optimization in critical chain with resource constraints. KSCE Journal of Civil Engineering. Volume 22, pages 3738–3752, https://doi.org/10.1007/s12205-017-0691-x
- Tao, Sha. and Dong, Zhijie Sasha. 2017. Scheduling resource-constrained project problem with alternative activity chains. Computers & Industrial Engineering. vol. 114: 288-296. https://doi.org/10.1016/j.cie.2017.10.027
- Tian, Y., Xiong, T., Liu, Zh., Mei, Y. & Wan, L. (2021). Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem with skill switches: Model and Evolutionary Approaches. Computers & Industrial Engineering. Vol. 167(4):107897. https://doi.org/10.1016/j.cie.2021.107897
- Tirkolaee, E.B., Goli, A., Hematian, M., Kumar, A. & Han, T. (2019). Multi-objective multi-mode resource constrained project scheduling problem using Pareto-based algorithms. Computing101, 547–570. https://doi.org/10.1007/s00607-018-00693-1
- Wang, L. & Zheng, X.l. 2018. A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem. Swarm and Evolutionary Computation. vol. 38: 54-63. https://doi.org/10.1016/j.swevo.2017.06.001.
- Yang, D. L. & Kuo, W. H. (2010). Some scheduling problems with deteriorating jobs and learning effects. Computers & Industrial Engineering, 58(1), 25-28. https://doi.org/10.1016/j.cie.2009.06.016
|
