Abulah, T. A. (2013). Modeling and evaluation of queuing system. Journal of Babylon University/Pure and Applied Sciences, 21(3), 797- 803.
Adamczuk, G., & Lindau, L. (2012). A framework for delivery scheduling in the poultry industry. Journal of Scheduling, 15(6), 757-772. https://doi.org/10.1007/s10951-012-0267-z
Aggarwal, A., Singh, V., & Kumar, S. (2014). Availability analysis and performance optimization of a butter oil production system: a case study. International Journal of System Assurance Engineering and Management, 8, 1-17. https://doi.org/10.1007/s13198-014-0310-x
Akkerman, R., Farahani, P., & Grunow, M. (2010). Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges. Operations Research-Spektrum, 32, 863-904. https://doi.org/10.1007/s00291-010-0223-2
Alvani, S. M. (2016). public policy-making. (2th ed.). Iran: Tehran. (In Persian).
Ampatzidis, Y. G., Vougioukas, S. G., Whiting, M. D., & Zhang, Q. (2014). Applying the machine repair model to improve efficiency of harvesting fruit. Biosystems Engineering, 120, 25-33. https://doi.org/https://doi.org/10.1016/j.biosystemseng.2013.07.011
Analoui, M., & Jamali, S. (2008). Congestion Control in the Internet: Inspiration from Balanced Food Chains in the Nature. J. Network Syst. Manage., 16, 1-10. https://doi.org/10.1007/s10922-007-9093-6
Argent-Katwala, A., & Bradley, J. (2007). PEPA Queues: Capturing Customer Behaviour in Queueing Networks. Electr. Notes Theor. Comput. Sci., 190, 3-25. https://doi.org/10.1016/j.entcs.2007.07.002
Audsley, E., & Sandars, D. (2009). A review of the practice and achievements from 50 years of applying OR to agricultural systems in Britain. OR Insight, 22, 2-18. https://doi.org/10.1057/ori.2008.1
Austria, L. A. (2015). Queue Management Practices of Quick ServiceRestaurants (QSR) in Lipa City, Philippines Asia Pacific Journal of Multidisciplinary Research, 3(5), 87-95.
Bart, N. (1982). A new theory of retailing costs. European Economic Review, 17(2), 163-186.
Batabyal, A. A., & Yoo, S. J. (2006). A complete characterization of mean waits times for citizens in the non-preemptive corruption regime. Applied Economics Letters, 13(12), 759-762.
Battini, M., Vieira, A., Barbieri, S., Ajuda, I., Stilwell, G., & Mattiello, S. (2014). Invited review: Animal-based indicators for on-farm welfare assessment for dairy goats. Journal of Dairy Science, 97(11), 6625-6648. https://doi.org/https://doi.org/10.3168/jds.2013-7493
Behzadi, G., O'Sullivan, M., Olsen, T., & Zhang, A. (2017). Agribusiness Supply Chain Risk Management: A Review of Quantitative Decision Models. Omega. https://doi.org/10.1016/j.omega.2017.07.005
Beske, P., Land, A., & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics, 152, 131-143. https://doi.org/https://doi.org/10.1016/j.ijpe.2013.12.026
Beyer, J. E. (1998). Stochastic stomach theory of fish: an introduction. Ecological Modelling, 114(1), 71-93. https://doi.org/https://doi.org/10.1016/S0304-3800(98)00128-8
Bhagat, D., & Dhar, U. R. (2011). Agriculture Supply Chain Management: A Review. IUP Journal of Supply Chain Management, 8(3), 7-25.
Biuki, M., Kazemi, A., & Alinezhad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120842
Blanckenhorn, W., Grant, J., & Fairbairn, D. (1998). Monopolization in a resource queue: Water striders competing for food and mates. Behav. Ecol. Sociobiol., 42, 63-70. https://doi.org/10.1007/s002650050412
Borodin, V., Bourtembourg, J., Hnaien, F., & Labadie, N. (2016). Handling uncertainty in agricultural supply chain management: A state of the art. European Journal of Operational Research, 254. https://doi.org/10.1016/j.ejor.2016.03.057
Bosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 33(1), 32-48. https://doi.org/https://doi.org/10.1016/j.foodcont.2013.02.004
Boywitz, D., & Boysen, N. (2018). Robust storage assignment in stack- and queue-based storage systems. Computers & Operations Research, 100, 189-200. https://doi.org/https://doi.org/10.1016/j.cor.2018.07.014
Churchman, C. W., Ackoff, R. L., & Arnoff, E. L. (1957). Introduction to Operations Research. Wiley.
Chen, S.-P. (2008). Evaluating performance of flow line systems with blocking under fuzzy environments. Cybernetics and Systems, 40 (1), 33-51.
Chou, C.-Y., & Liu, H.-R. (2008). Simulation study on the queuing system in a fast-food restaurant. Journal of Restaurant & Foodservice Marketing, 3(2), 23-36.
Church, I., & Newman, A. (2000). Using simulations in the optimisation of fast food service delivery. British Food Journal, 102, 398-405. https://doi.org/10.1108/00070700010329308
Comi, A., Schiraldi, M. M., & Buttarazzi, B. (2018). Smart urban freight transport: tools for planning and optimising delivery operations. Simulation Modelling Practice and Theory, 88, 48-61. https://doi.org/https://doi.org/10.1016/j.simpat.2018.08.006
Cooper, M., & Ellram, L. (1993). Characteristics of Supply Chain Management & the Implications for Purchasing & Logistics Strategy. International Journal of Logistics Management, The, 4, 13-24. https://doi.org/10.1108/09574099310804957
Cooper, R. B. (1980). Introduction to Queuing Theory (2nd ed.). Elsevier North Holland.
Dania, W. A. P., Xing, K., & Amer, Y. (2018). Collaboration behavioural factors for sustainable agri-food supply chains: A systematic review. Journal of Cleaner Production, 186. https://doi.org/10.1016/j.jclepro.2018.03.148
de Oliveira, D., & Keeling, L. (2018). Routine activities and emotion in the life of dairy cows: Integrating body language into an affective state framework. PLOS ONE, 13, e0195674. https://doi.org/10.1371/journal.pone.0195674
De Vries, J., Roy, D., & De Koster, R. (2018). Worth the wait? How restaurant waiting time influences customer behavior and revenue. Journal of Operations Management, 63, 59-78.
Dharmawirya, M., & Adi, E. (2011). Case Study for Restaurant Queuing Model. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2014470
Diabat, A., Jabbarzadeh, A., & Khosrojerdi, A. (2019). A perishable product supply chain network design problem with reliability and disruption considerations. International Journal of Production Economics, 212, 125-138. https://doi.org/https://doi.org/10.1016/j.ijpe.2018.09.018
Diaz Allegue, L., Puyol, D., & Melero, J. (2020). Food waste valorization by purple phototrophic bacteria and anaerobic digestion after thermal hydrolysis. Biomass and Bioenergy, 142, 105803. https://doi.org/10.1016/j.biombioe.2020.105803
Ding, D., Ou, J., & Ang, J. (2014). Analysis of ticket queues with reneging customers. Journal of the Operational Research Society, 66, 231-246. https://doi.org/10.1057/jors.2013.185
Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S. J., Shibin, K. T., & Wamba, S. F. (2017). Sustainable supply chain management: framework and further research directions. Journal of Cleaner Production, 142, 1119-1130. https://doi.org/https://doi.org/10.1016/j.jclepro.2016.03.117
Dubosson, M., Fragnière, E., Junod, N., & Willaerts, B. (2018). Detecting Customer Queue “at-risk” Behaviors Based on Ethograms to Minimize Overall Service Dissatisfaction. In (pp. 18-29). https://doi.org/10.1007/978-3-319-91764-1_2
Dutta, P., & Shrivastava, H. (2020). The design and planning of an integrated supply chain for perishable products under uncertainties: A case study in milk industry. Journal of Modelling in Management, ahead-of-print. https://doi.org/10.1108/JM2-03-2019-0071
Evers, E. (2004). Predicted quantitative effect of logistic slaughter on microbial prevalence. Preventive veterinary medicine, 65, 31-46. https://doi.org/10.1016/j.prevetmed.2004.06.008
FAO, IFAD, UNICEF, WFP, & WHO. (2018). The State of Food Security and Nutrition in the World 2018: Building climate resilience for food security and nutrition. https://www.who.int/nutrition/publications/foodsecurity/state-food-security-nutrition-2018-en.pdf?ua=1
Farahmand, K., & Martinez, A. F. G. (1996). Simulation and animation of the operation of a fast food restaurant. Proceedings Winter Simulation Conference, Coronado, California, USA.
Field, A., McKnew, M., & Kiessler, P. (1997). A simulation comparison of buffet restaurants: Applying monte carlo modeling. The Cornell Hotel and Restaurant Administration Quarterly, 38(6), 5-79. https://doi.org/https://doi.org/10.1016/S0010-8804(97)85372-4
Frijda, N. H. (1967). Problems of computer simulation. Behavioral Science, 12(1), 59-67.
Ganeshkumar, C., Pachayappan, M., Madanmohan, G., (2017). Agri-food Supply Chain Management: Literature Review. Intelligent Information Management, 2017, 68-96. https://doi.org/10.4236/iim.2017.92004
Gao, D., Chen, J., & Wang, Y. (2018). Study on Omnichannel Service for Time-Sensitive and Price-Sensitive Demand. https://doi.org/10.1109/ICSSSM.2018.8465076
Ghaleb, M., Suryahatmaja, U., & Al-Harkan, I. (2015). Modeling and Simulation of Queuing Systems Using Arena Software: A Case Study. https://doi.org/10.1109/IEOM.2015.7093945
Gitinavard, H., Ghodsypour, S. H., & Akbarpour Shirazi, M. (2019). A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty [Article]. SCIENTIA IRANICA, 26(5 (Transactions E: Industrial Engineering)), 2952-2970. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=692480
Glen, J. J. (1987). Feature Article—Mathematical Models in Farm Planning: A Survey. Operations Research, 35(5), 641-666.
Graves, S. C. (1982). The application of queueing theory to continuous perishable inventory systems. Management Science, 28 (4), 400- 406.
Gumus, S., Bubou, G., & Oladeinde, M. (2017). Application of queuing theory to a fast food outfit: a study of blue meadows restaurant. Independent Journal of Management & Production, 8, 441. https://doi.org/10.14807/ijmp.v8i2.576
Halachmi, I. (2004). Designing the Automatic Milking Farm in a Hot Climate. Journal of Dairy Science, 87, 764-775. https://doi.org/10.3168/jds.S0022-0302(04)73220-8
Halachmi, I. (2007). Biomass management in recirculating aquaculture systems using queuing networks. Aquaculture, 262(2), 514-520. https://doi.org/https://doi.org/10.1016/j.aquaculture.2006.10.015
Halachmi, I. (2012). Mathematical principles of production management and robust layout design: Part I. 250-ton/year recirculating aquaculture system (RAS). Aquacultural Engineering, 50, 1-10. https://doi.org/https://doi.org/10.1016/j.aquaeng.2012.03.001
Halachmi, I. (2013). Mathematical principles of production management and robust layout design: Part III. 2500-ton/year fish farming in marine net cages. Aquacultural Engineering, 54, 110-117. https://doi.org/https://doi.org/10.1016/j.aquaeng.2012.11.001
Halachmi, I., Adan, I., Wal, J., Beek, P., & Heesterbeek, J. A. P. (2003). Designing the optimal robotic milking barn by applying a queuing network approach. Agricultural Systems, 681-696. https://doi.org/10.1016/S0308-521X(02)00086-0
Halachmi, I., Adan, I. J. B. F., van der Wal, J., Heesterbeek, J. A. P., & van Beek, P. (2000). The design of robotic dairy barns using closed queueing networks. European Journal of Operational Research, 124(3), 437-446. https://doi.org/https://doi.org/10.1016/S0377-2217(99)00312-4
Hanukov, G., Avinadav, T., Chernonog, T., Spiegel, U., & Yechiali, U. (2017). A queueing system with decomposed service and inventoried preliminary services. Applied Mathematical Modelling, 47, 276-293. https://doi.org/https://doi.org/10.1016/j.apm.2017.03.008
Hanukov, G., Avinadav, T., Chernonog, T., & Yechiali, U. (2019). Performance improvement of a service system via stocking perishable preliminary services. European Journal of Operational Research, 274 (3), 1000- 1011.
Hardaker, J. B., Pandey, S., & Patten, L. H. (1991). Farm Planning under Uncertainty: A Review of Alternative Programming Models. Review of Marketing and Agricultural Economics, 59, 1-14.
Hayashi, K. (2000). Multicriteria analysis for agricultural resource management: A critical survey and future perspectives. European Journal of Operational Research, 122, 486-500. https://doi.org/10.1016/S0377-2217(99)00249-0
Higgins, A., Miller, C., Archer, A., Ton, T., Fletcher, C., & McAllister, R. (2010). Challenges of operations research practice in agricultural value chains. JORS, 61, 964-973. https://doi.org/10.1057/jors.2009.57
Hwang, J., Gao, L., & Jang, W. (2010). Joint demand and capacity management in a restaurant system. European Journal of Operational Research, 207, 465-472. https://doi.org/10.1016/j.ejor.2010.04.001
Iman, R., & Borimnejad, V. (2016). Analysis of quality of services for checkout operation in Refah chain stores using queuing theory. Journal of Foodservice Business Research, 20, 1-10. https://doi.org/10.1080/15378020.2016.1192891
Inman, J., & Nikolova, H. (2017). Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns. Journal of Retailing. https://doi.org/10.1016/j.jretai.2016.12.006
Jain, P., & Ali, R. (2016). A case study of take away restaurant using simulation modelling approach. Journal of Service Science Research, 8, 207-221. https://doi.org/10.1007/s12927-016-0011-x
Jharkharia, S., & Shukla, M. (2013). Agri-fresh produce supply chain management: A state-of-the-art literature review. International Journal of Operations & Production Management, 33, 114-158. https://doi.org/10.1108/01443571311295608
Juliano, S. A. (1989). Queueing models of predation and the importance of contingent behavioural choices for optimal foragers. Animal Behaviour, 38(5), 757-770. https://doi.org/https://doi.org/10.1016/S0003-3472(89)80108-3
Kaid, H., Dabwan, A., & Al-Ahmari, A. (2018). Modeling and Simulation of Queuing Systems Using Stochastic Petri net and Arena Software: A Case Study.
Kashav, S., Cerchione, R., Singh, R., Centobelli, P., & Shabani, A. (2018). Food Cold Chain Management: From A Structured Literature Review to A Conceptual Framework and Research Agenda. The International Journal of Logistics Management, 29, 792-821. https://doi.org/10.1108/IJLM-01-2017-0007
Kathirvel, J., Reiyas, M., S, P., & Lakshmanan, K. (2017). An M / E K / 1 / N Queueing-Inventory System with Two Service Rates Based on Queue Lengths. International Journal of Applied and Computational Mathematics, 3. https://doi.org/10.1007/s40819-017-0360-2
Ke, S.-k., Ding, M., Li, L., Niu, Q.-l., & Huang, D. (2012). Grafting watermelon seedling production management system based on process control strategy. Journal of Shanghai Jiaotong University (Science), 17. https://doi.org/10.1007/s12204-012-1241-9
Kleijnen, J., Halachmi, I., Dzidic, A., Metz, J. H. M., Speelman, L., & Dijkhuizen, A. A. (2001). Validation of simulation model for robotic milking barn design. European Journal of Operational Research, 134, 677-688. https://doi.org/10.1016/S0377-2217(00)00283-6
Koh, H., Teh, S., Wong, C., Lim, H., & Migin, M. (2014). Improving Queuing Service at McDonald's (Vol. 1605). https://doi.org/10.1063/1.4887740
Koroliuk, V., Melikov, A., Ponomarenko, L., & Rustamov, A. (2017). Asymptotic Analysis of the System with Server Vacation and Perishable Inventory. Cybernetics and Systems Analysis, 53. https://doi.org/10.1007/s10559-017-9956-0
Koroliuk, V., Melikov, A., Ponomarenko, L., & Rustamov, A. (2018). Models of Perishable Queueing-Inventory Systems with Server Vacations. Cybernetics and Systems Analysis, 54, 1-14. https://doi.org/10.1007/s10559-018-0005-4
Kusumastuti, R. D., Donk, D. P. v., & Teunter, R. (2016). Crop-related harvesting and processing planning: a review. International Journal of Production Economics, 174, 76-92. https://doi.org/https://doi.org/10.1016/j.ijpe.2016.01.010
Kutcher, G. P., & Norton, R. D. (1982). Operations research methods in agricultural policy analysis. European Journal of Operational Research, 10(4), 333-345. https://doi.org/https://doi.org/10.1016/0377-2217(82)90084-4
Lakatos, L., Szeidl, L., & Telek, M. (2013). Introduction to Queueing Systems with Telecommunication Applications. https://doi.org/10.1007/978-1-4614-5317-8
Lan, C., Lan, T., & Chen, M. (2005). Optimal human resource allocation with finite servers and queuing capacity. IJCAT, 24, 156-160. https://doi.org/10.1504/IJCAT.2005.007480
Landauer, E. G. (1984). The effect of random number generators on an application. Computers & Industrial Engineering, 8(1), 65-72. https://doi.org/https://doi.org/10.1016/0360-8352(84)90022-6
Ledauphin, S., Pommeret, D., & Qannari, E. M. (2006). A Markovian model to study products shelf-lives. Food Quality and Preference, 17, 598-603. https://doi.org/10.1016/j.foodqual.2006.04.005
Lee, D., Sönmez, E., Gómez, M. I., & Fan, X. (2017). Combining two wrongs to make two rights: Mitigating food insecurity and food waste through gleaning operations. Food Policy, 68, 40-52. https://doi.org/https://doi.org/10.1016/j.foodpol.2016.12.004
Lezoche, M., Hernandez, J. E., Alemany Díaz, M. d. M. E., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, 117, 103187. https://doi.org/https://doi.org/10.1016/j.compind.2020.103187
Li, B., & Wang, D. (2010). Configuration Issues of Cashier Staff in Supermarket Based on Queuing Theory (Vol. 106). https://doi.org/10.1007/978-3-642-16339-5_44
Liao, P.-Y. (2007a). Optimal pricing strategy for queuing systems with capacity constraint problem Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, (IIH-MSP 2007), Kaohsiung, Taiwan.
Liao, P.-Y. (2007b). Optimal staffing policy for queuing systems with cyclic demands waiting cost approach. Proceeding of POMS 18th Annual Conference, Dallas, Texas.
Lim, E., Kum, D., & Lee, Y. (2014). Understanding how changes within service experiences impact prospective vs. retrospective time judgments. Journal of the Academy of Marketing Science, 43, 1-16. https://doi.org/10.1007/s11747-014-0415-4
Ljungberg, D., & Aradom Messmer, S. (2007). Logistics Chain of Animal Transport and Abattoir Operations. Biosystems Engineering, 96, 267-277. https://doi.org/10.1016/j.biosystemseng.2006.11.003
Lowe, T., & Preckel, P. (2004). Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research. Manufacturing & Service Operations Management, 6, 201-208. https://doi.org/10.1287/msom.1040.0051
Lucas, M. T., & Chhajed, D. (2004). Applications of location analysis in agriculture: a survey. Journal of the Operational Research Society, 55(6), 561-578. https://doi.org/10.1057/palgrave.jors.2601731
Luczak, M., & McDiarmid, C. (2006). On the maximum queue length in the supermarket model. The Annals of Probability, 34. https://doi.org/10.1214/00911790500000710
Mahmoodi, A., Haji, A., & Haji, R. (2015). One for one period policy for perishable inventory. Computers & Industrial Engineering, 79, 10-17. https://doi.org/https://doi.org/10.1016/j.cie.2014.10.012
Melikov, A., Ponomarenko, L., & Shahmaliyev, M. (2016). Models of Perishable Queueing-Inventory System with Repeated Customers. Journal of Automation and Information Sciences, 48, 22-38. https://doi.org/10.1615/JAutomatInfScien.v48.i6.30
Mesterton-Gibbons, M. (1988). How fast can fast food be served? Mathematical and Computer Modelling, 10(6), 405-407. https://doi.org/https://doi.org/10.1016/0895-7177(88)90029-5
Mittal, A., & X Krejci, R. (2017). A hybrid simulation modeling framework for regional food hubs. Journal of Simulation, 13(1), 28-43.
Molnar, V., & Tumik, A. (2018). Making Unit Cost in Production Process More Accurate – the Role of Queueing. International Journal of Engineering and Technology (UAE), 7, 129-132. https://doi.org/10.14419/ijet.v7i2.23.11899
Mor, R., Bhardwaj, A., & Singh, S. (2018). A structured-literature-review of the supply chain practices in Dairy industry. Journal of Operations and Supply Chain Management, 11. https://doi.org/10.12660/joscmv11n1p14-25
Morejón, Y., & Coronel, C. (2014). Use of Queueing Theory to Organization of the Complex Rice Harvest-Transport on the Agroindustrial Rice Complex "Los Palacios". Ama, Agricultural Mechanization in Asia, Africa & Latin America, 45, 56-58.
MOSIMTEC. (2020). The Key Differences Between Simulation and Optimization. https://mosimtec.com/simulation-vs-optimization
Mouhaffel, A., Dominguez, C., Seck, A., Ahmadou, W., & Díaz Martín, R. (2016). Assessment of Mathematical Modeling to Improve Agricole Irrigation Area Works in Senegal (Kas Kas). 11, 11950-11957.
Mullowney, P., & James, A. (2007). The role of variance in capped-rate stochastic growth models with external mortality. Journal of Theoretical Biology, 244(2), 228-238.
Muslu, I., Jakshylykov, L., Soorbekova, B., Kutmanova, U., & Musiralieva, M. (2014). Restaurant process simulation in Kyrgyzstan 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria.
Nahmias, S., Perry, D., & Stadje, W. (2004). Perishable inventory systems with variable input and demand rates. Mathematical Methods of Operational Research, 60, 155-162. https://doi.org/10.1007/s001860300335
Nehzati, T., Dreyer, H., & Strandhagen, J. O. (2015). Production network flexibility: Case study of Norwegian diary production network. Advances in Manufacturing, 3. https://doi.org/10.1007/s40436-015-0111-8
Nematollahi, M., & Tajbakhsh, A. (2020). Past, present, and prospective themes of sustainable agricultural supply chains: A content analysis. Journal of Cleaner Production, 271, 122201. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.122201
Nichols, J., Kang, S., Post, W., Wang, D., Bandaru, V., Manowitz, D., Zhang, X., & Izaurralde, R. (2011). HPC-EPIC for high resolution simulations of environmental and sustainability assessment. Computers and Electronics in Agriculture, 79(2), 112-115. https://doi.org/https://doi.org/10.1016/j.compag.2011.08.012
Nooteboom, B. (1983). Productivity growth in the grocery trade. Applied Economics, 15(5), 649-664
O'Laughlin, B. (1996). From Basic Needs to Safety-Nets: The Rise and Fall of Urban Food-Rationing in Mozambique. The European Journal of Development Research, 8(1), 200-223. https://doi.org/10.1080/09578819608426658
Orjuela Castro, J., Sanabria, A., & Lozano, A. (2017). Coupling facility location models in the supply chain of perishable fruits. Research in Transportation Business & Management, 24. https://doi.org/10.1016/j.rtbm.2017.08.002
Osborne, J., & Duffin, M. (2007). Checkout. Kroger's store front simulator. Proceedings of the 2007 Winter Simulation Conference, Washington D.C.
Palkova, Z., Rodny, T., Okenka, I., & Kiedrowicz, M. (2012). Principles of Process Controlling of Irrigation Systems Using Queuing Theory. Rocznik Ochrona Srodowiska, 14, 161-171.
Parajuli, R., Thoma, G., & Matlock, M. (2019). Environmental sustainability of fruit and vegetable production supply chains in the face of climate change: A review. Science of The Total Environment, 650, 2863-2879. https://doi.org/10.1016/j.scitotenv.2018.10.019
Parkan, C. (1987). Simulation of a Fast-Food Operation Where Dissatisfied Customers Renege. Journal of the Operational Research Society, 38(2), 137-148. https://doi.org/10.1057/jors.1987.26
Parkan, C. (1988). How long will fast food customers wait? Operations-Research-Spektrum, 10(1), 37-44. https://doi.org/10.1007/BF01720034
Patel, J. J., Patel, R. M. C. P. A., & Makwana, P. (2012). Minimize the waiting time of customer and gain more profit in restaurant using queuing model International Conference on Management, Humanity and Economics (ICMHE'2012), Phuket, Thailand.
Patterson, D. M. (1995). Price reform and welfare: a transition model with queuing. Social Choice and Welfare, 12(3), 225-232. https://doi.org/10.1007/BF00179977
Plà, L., Sandars, D., & Higgins, A. (2013). A perspective on operational research prospects for agriculture. Journal of the Operational Research Society, 65. https://doi.org/10.1057/jors.2013.45
Porter, A. L., Roper, A. T., Mason, T. W., Rossini, F. A., & Banks, J. (1991). Forecasting and Management of Technology. Wiley. https://books.google.com/books?id=L4Bqo1HHq7UC
Porter, S., Reay, D., Higgins, P., & Bomberg, E. (2016). A half-century of production-phase greenhouse gas emissions from food loss & waste in the global food supply chain. Science of The Total Environment, 571. https://doi.org/10.1016/j.scitotenv.2016.07.041
Prakash, G. (2018). Review of the food processing supply chain literature: a UK, India bilateral context. Journal of Advances in Management Research, 15. https://doi.org/10.1108/JAMR-12-2017-0116
Prasad, V., V.H, B., & Koka, T. (2015). Mathematical analysis of single queue multi server and multi queue multi server queuing models: comparison study. Global Journal of Mathematical Analysis, 3, 97. https://doi.org/10.14419/gjma.v3i3.4689
Pruyn, A. T. H., & Smidts, A. (1993). Customers’ evaluations of queues: three exploratory studies. European Advances in Consumer Research, 1, 371-382.
Rabbani, M., & Dolatkhah, M. (2017). Simultaneous production planning of make-to-order (MTO) and make-to-stock (MTS) products using simulation optimization. Case study: Soren Restaurant. International Journal of Advanced Logistics, 6, 1-15. https://doi.org/10.1080/2287108X.2017.1361290
Rajurkar, S., & Jain, R. (2011). Food supply chain management: Review, classification and analysis of literature. International Journal of Integrated Supply Management, 6. https://doi.org/10.1504/IJISM.2011.038332
Ramadoss, S., & Elango, C. (2012). Markov decision processes in service facilities holding perishable inventory. OPSEARCH, 49. https://doi.org/10.1007/s12597-012-0084-3
Raman, A., & Roy, D. (2015). An Analytical Modeling Framework for Determining the Optimal Table Mix in RestaurantsÕ. IFAC-PapersOnLine, 48(3), 225-230. https://doi.org/https://doi.org/10.1016/j.ifacol.2015.06.085
Raz, O., & Ert, E. (2008). Size counts the effect of queue length on choice between similar restaurants. Advances in Consumer Research, 35, 803-804.
Razzaghi, A. (2003). Theories on social communication. (1th ed.). Iran: Tehran. (In Persian).
Ridgley, M. A. (1989). Applying geographical queueing theory: a crop distribution case. Geoforum, 20(4), 397-407. https://doi.org/https://doi.org/10.1016/0016-7185(89)90023-7
Rodrigues, L. F., Morabito, R., Chiyoshi, F. Y., Iannoni, A. P., & Saydam, C. (2018). Analyzing an emergency maintenance system in the agriculture stage of a Brazilian sugarcane mill using an approximate hypercube method. Computers and Electronics in Agriculture, 151, 441-452. https://doi.org/https://doi.org/10.1016/j.compag.2018.06.023
Roy, D., Bandyopadhyay, A., & Banerjee, P. (2016). A nested semi-open queuing network model for analyzing dine-in restaurant performance. Computers & Operations Research, 65, 29-41. https://doi.org/https://doi.org/10.1016/j.cor.2015.06.006
Saeedi, F., Teimoury, E., & Makui, A. (2019). Redesigning fruit and vegetable distribution network in Tehran using a city logistics model. Decision Science Letters, 8, 45-64.
Sanctis, G., Köhler, J., & Fontana, M. (2014). Probabilistic assessment of the occupant load density in retail buildings. Fire Safety Journal, 69, 1–11. https://doi.org/10.1016/j.firesaf.2014.07.002
Sayeed, S., Chowdhury, S. H., Yang, O., & Deng, Y. (2006). The peking express problem and its application 23rd Biennial Symposium on Communications,
Searchinger, T., Waite, R., Hanson, C., Ranganathan, J., Dumas, P., & Matthews, E. (2018). Creating a sustainable food future. A menu of solutions to feed nearly 10 billion people by 2050. https://www.wri.org/publication/creating-sustainable-food-future
Seeley, T. D. (1989). Social foraging in honey bees: how nectar foragers assess their colony's nutritional status. Behavioral Ecology and Sociobiology, 24(3), 181-199. https://doi.org/10.1007/BF00292101
Sharan, G., & Madhavan, T. (1999). An Operational Study of CJ Patel Vegetable and Fruit Market of Ahmedabad. OPSEARCH, 36(2), 151-164. https://doi.org/10.1007/BF03398570
Shortle, J. F., Thompson, J. M., Gross, D., & Harris, C. M. (2018). Fundamentals of Queueing Theory (5 ed.). Wiley. https://doi.org/10.1002/9781119453765
Siddh, M. M., Soni, G., Jain, R., Sharma, M. K., & Yadav, V. (2017). Agri-fresh food supply chain quality (AFSCQ): a literature review. Industrial Management and Data Systems, 117(9), 2015–2044.
Soto-Silva, W. E., Nadal-Roig, E., González-Araya, M. C., & Pla-Aragones, L. M. (2016). Operational research models applied to the fresh fruit supply chain. European Journal of Operational Research, 251(2), 345-355. https://doi.org/https://doi.org/10.1016/j.ejor.2015.08.046
Soysal, M., Bloemhof-Ruwaard, J., Meuwissen, M., & Van der Vorst, J. (2012). A Review on Quantitative Models for Sustainable Food Logistics Management. International Journal of Food System Dynamics, 3, 136-155. https://doi.org/10.18461/ijfsd.v3i2.324
Stone, J., & Rahimifard, S. (2018). Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework. Supply Chain Management: An International Journal, 23. https://doi.org/10.1108/SCM-06-2017-0201
Sundrum, A. (2001). Organic livestock farming: A critical review. Livestock Production Science, 67(3), 207-215. https://doi.org/https://doi.org/10.1016/S0301-6226(00)00188-3
Syahruddin, N., & Kalchschmidt, M. (2011). Sustainable Supply Chain Management in the Agricultural Sector: A Literature Review. International Journal of Engineering Management and Economics, 3. https://doi.org/10.1504/IJEME.2012.049894
Tanizaki, T., & Shimmura, T. (2017). Modeling and Analysis Method of Restaurant Service Process. Procedia CIRP, 62, 84-89. https://doi.org/https://doi.org/10.1016/j.procir.2016.06.076
Thompson, G. M. (1998). Labor scheduling, Part2. The Cornell Hotel and Restaurant Administration Quarterly, 39(6), 26-37. https://doi.org/https://doi.org/10.1016/S0010-8804(99)80003-2
Tsolakis, N. K., Keramydas, C. A., Toka, A. K., Aidonis, D. A., & Iakovou, E. T. (2014). Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy. Biosystems Engineering, 120, 47-64. https://doi.org/https://doi.org/10.1016/j.biosystemseng.2013.10.014
Valenzuela, O., & Villalobos, J. (2009). Application of Planning Models in the Agri-Food Supply Chain: A Review. European Journal of Operational Research, 196, 1-20. https://doi.org/10.1016/j.ejor.2008.02.014
van 't Ooster, A., Bontsema, J., van Henten, E. J., & Hemming, S. (2012). GWorkS – A discrete event simulation model on crop handling processes in a mobile rose cultivation system. Biosystems Engineering, 112(2), 108-120. https://doi.org/https://doi.org/10.1016/j.biosystemseng.2012.03.004
Venkatadri, U., Vardarajan, V., & Das, B. (2014). Product placement within a fast-picking tunnel of a distribution centre. The International Journal of Advanced Manufacturing Technology, 76(9), 1681-1690. https://doi.org/10.1007/s00170-014-6389-z
Vrat, P., Gupta, R., Bhatnagar, A., Pathak, D., & Fulzele, V. (2018). Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions. OPSEARCH, 55, 601-627. https://doi.org/10.1007/s12597-018-0338-9
W. Whitney, R., & J. Cochran, B. (1976). Predicting Sugar Cane Mill Delivery Rates. Transactions of the ASAE, 19(1), 47-0048. https://doi.org/https://doi.org/10.13031/2013.35964
Wagner, M. R., Bhadury, J., & Peng, S. (2009). Risk management in uncapacitated facility location models with random demands. Computers & Operations Research, 36(4), 1002-1011. https://doi.org/https://doi.org/10.1016/j.cor.2007.12.008
Weintraub, A., & Romero, C. (2006). Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison. Interfaces, 36. https://doi.org/10.1287/inte.1060.0222
Weiss, E., & Tucker, C. (2018). Queue management: Elimination, expectation, and enhancement. Business Horizons, 61. https://doi.org/10.1016/j.bushor.2018.05.002
Weng, s.-j., Gotcher, D., & Kuo, C. (2016). Lining up for quick service—The business impact of express lines on fast-food restaurant operations. Journal of Foodservice Business Research, 20, 1-17. https://doi.org/10.1080/15378020.2016.1195217
Wirtz, K. (2012). Intermittency in processing explains the diversity and shape of functional grazing responses. Oecologia, 169, 879-894. https://doi.org/10.1007/s00442-012-2257-4
Wyman, F. P., & Orr, W. M. (1973). Queueing with Cyclic Arrival Distributions and Variable Service Facilities: A Simulation Approach. Journal of the Operational Research Society, 24(4), 593-601. https://doi.org/10.1057/jors.1973.108
Yang, W. (2018). A user-choice model for locating congested fast charging stations. Transportation Research Part E: Logistics and Transportation Review, 110, 189-213. https://doi.org/10.1016/j.tre.2017.11.009
Yavari, M., & Geraeli, M. (2019). Heuristic Method for Robust Optimization Model for Green Closed-Loop Supply Chain Network Design of Perishable Goods. Journal of Cleaner Production, 226. https://doi.org/10.1016/j.jclepro.2019.03.279
Zhang, T., Zhao, F., Zhang, J., Mendis, G., Ru, Y., & Sutherladn, J. W. (2019). An Approximation of the Customer Waiting Time for Online Restaurants Owning Delivery System. Journal of Systems Science and Complexity, 32(3), 907-931. https://doi.org/10.1007/s11424-018-7316-4
Zhang, W., & Wilhelm, W. (2011). OR/MS decision support models for the specialty crops industry: A literature review. Annals OR, 190, 131-148. https://doi.org/10.1007/s10479-009-0626-0
Zhong, R., Xu, X., & Wang, L. (2017). Food supply chain management: systems, implementations, and future research. Industrial Management & Data Systems, 117, 2085-2114. https://doi.org/10.1108/IMDS-09-2016-0391
Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., & Piramuthu, S. (2018). Recent Advances and Opportunities in Sustainable Food Supply Chain: A Model-oriented Review. International Journal of Production Research. https://doi.org/10.1080/00207543.2018.1425014
)