Beheshti Nia, M. A., Qasemi, A. & Farrokh Nia, M. (2018). Scheduling of production, transportation, and allocation of orders in the supply chain.
Specialized journal of industrial engineering, 50 (2), 191-203. (
in Persian)
https://civilica.com/doc/839521/
Dehghan Rahbar, A., Ismaili Dastjerdipour, A., & Dehmarde, N. (2012). Calculating the types of efficiency and returns to scale in the dairy industry (case study: Kerman province).
Quarterly journal of planning and budget,
7 (4), 145-159. (
In Persian).
https://jpbud.ir/article-1-753-fa.pdf
Ehsanifar, M., & Rezaei, Z. (2018). Combining the classical linear allocation model with multi-objective linear programming to evaluate the ranking of options.
Industrial engineering and sharif management,
1-
34(1.2), 129-136. (
In Persian).
http://sjie.journals.sharif.edu/article_5610.html
Friedman, S. (2003).
The effects of dynamic decision making on resource allocation: The case of pavement management (Doctoral Dissertation, Worcester Polytechnic Institute). Retrieved from
https://core.ac.uk/download/pdf/212997646.pdf
Haji Gholam Sarizadi, A. (2019).
Dynamics of systems and training of its various software in simple language. Danesh Mandagh Asr Publishing House. (
In Persian).
https://www.gisoom.com
Haji Gholam Sarizadi, A., & Ghavidel, M. (2018). Waste management in a wire and cable company through system dynamics approach.
International journal of quality & reliability management,
35(7),
15-32.
https://doi.org/10.1108/IJQRM-05-2017-0102
Haji Gholam Sarizadi, A., & Manteghi, M. (2018). Testing and validation of group modeling with reference model).
Quarterly journal of industrial management, faculty of humanities, sanandaj azad university,
13(44), 29-46. (
In Persian).
http://ensani.ir
Haji Gholam Sarizadi, A., Ghatari, A. R. Z., Mashayekhi, A. N., & Hassanzadeh, A. (2021). Crowd model building as a collective decision support system. International journal of decision support systems, 4(3), 177-216.
Haji Gholam Sarizadi, A., Manteghi, M., & Zare Mehrjerdi, Y. (2013).
Dynamic system. Alborz Diamond Publications. (
In Persian).
https://www.gisoom.com
Hiassat, A. (2017).
Resource allocation models in healthcare decision making (Ph.D Thesis, University of Waterloo, Ontario, Canada). Rtrieved from
http://hdl.handle.net/10012/12299
Hovelynck, J., Dewulf, A., Francois, G., & Taillieu, T. (2010). Interdisciplinary knowledge integration through group model building: recognizing dualities and triadizing the conversation.
Environmental science & policy,
13(7), 582-591.
https://doi.org/10.1016/j.envsci.2010.04.002
Jafar Khan, F., & Yaqubi, S. (2017). Presenting a robust mathematical model and innovative solution algorithm for the integrated production-routing-inventory problem of perishable products with lateral transfer.
Journal of industrial engineering research in production systems,
4(8), 195-211. (
In Persian).
https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=572592
Jafari, M. A., Cheng, Y., Theofanis, S., Boile, M., & Maher, A. (2005). A dynamic berth allocation planning model. In
International Workshop on Harbour, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2005, Held at the International Mediterranean Modeling Multiconference, I3M 2005.
https://www.researchwithrutgers.com/en/publications/a-dynamic-berth-allocation-planning-model
Jajja, M. S. S. (2013). Retail shelf space allocation analysis using system dynamics approach. Journal of quality and technology management, 9, 99-129.
Kim, S. W., & Choi, K. (2008). A dynamic resource allocation on service supply chain. In
supply chain, theory and applications (pp. 351-386). DOI:
10.5772/5351
MacKenzie, C. A., Baroud, H., & Barker, K. (2016). Static and dynamic resource allocation models for recovery of interdependent systems: application to the deepwater horizon oil spill.
Annals of operations research,
236(1), 103-129.
https://doi.org/10.1007/s10479-014-1696-1
Marandi, F., & Zgardi, S. H. (2017). Integration of production and distribution schedules in the supply chain of dairy products using the improved particle mass optimization algorithm, transportation engineering,
Journal of transportation engineering,
8(3), 545-565. (
In Persian).
https://www.sid.ir/EN/JOURNAL/ViewPaper.aspx?ID=570434
Mortazavi, S., & Seif Barghy, M. (2018). Two-objective modeling of location-allocation problem in a green supply chain considering transportation system and CO2 emission.
Journal of industrial management perspective,
8(1, Spring 2018), 163-185. (
In Persian).
https://jimp.sbu.ac.ir/article_87184.html?lang=en
Nasirzadeh, F., Khanzadi, M., & Rezaie, M., (2013), System Dynamics Approach for Quantitative Risk allocation,
International journal of industrial engineering & production research,
24(3), 237-246. (
In Persian).
https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=437658
Samie Mohammadi, M., & Yousefi Nejad Attari, M. (2017). Multi-layer modeling of supply chain for products with limited lifespan (case study: Olive Oil in ETKA’s stores).
Journal of industrial management,
12(40), 29-48. (
In Persian).
https://imj.iausdj.ac.ir/article_536773.html?lang=en
Sefeedpari, P., Rafiee, S., Sharifi, M., & Akram, A. (2018). Detecting the best optimal dairy cattle herd sizes based on energy consumption using fuzzy linear programming model.
Iranian journal of biosystems engineering,
49(1), 149-159. (
In Persian). DOI:
10.22059/IJBSE.2017.124419.664607
Soydan, A. I., & Oner, M. A. (2012), Timely resource allocation between R&D and marketing: a system dynamics view,
International journal of innovation and technology management,
9(2), 1-38.
https://doi.org/10.1142/S0219877012500125
Sterman, J. D. (2000). Business dynamics: systems thinking and modeling for a complex world. McGraw-Hill.
Thakker, R., Sarkani, S., & Mazzuchi, T. (2012). A system dynamics approach to demand and allocation of wireless spectrum for mobile communication.
Procedia computer science,
8, 118-123.
https://doi.org/10.1016/j.procs.2012.01.023
Xie, H., & Rao, R. (2014). A system dynamics model for medical staff allocation in post-wenchuan earthquake relief.
In 2014 IEEE workshop on advanced research and technology in industry applications (WARTIA), 307-311. IEEE. DOI:
10.1109/WARTIA.2014.6976258