Optimizing a sustainable inventory-routing problem in tomato agri-chain considering postharvest biological behavior

Subject Areas : Mathematical Optimization

Shima Shirzadi ¹ , Vahidreza Ghezavati ² , Reza Tavakkoli-Moghaddam ³ , Sadoullah Ebrahimnejad ⁴

1 - School of Industrial Engineering, South Tehran Branch, Islamic Azad university, Tehran, Iran
2 - School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
3 - University of Tehran
4 - School of Industrial Engineering, Islamic Azad university, Karaj Branch, Karaj, Iran

Received: 2021-04-04 Accepted : 2021-07-06 Published : 2021-04-01

Keywords:

References:

[1] [USDA] United States standards for grades of fresh tomatoes. (1991) USDA Agricultural Marketing Service, Washington, DC.

[2] Abdoli, B., Mirhassani, S. A., & Hooshmand, F. (2017) Model and algorithm for bi-feul vehicle routing problem to reduce GHG emissions. Environmental Science and Pollution Research, 24, pp.
21610-21624,.

[3] Ahumada, O., Villalobos, JR. (2011) A tactical model for planning the production and distribution of fresh produce Annual Operations Research, 190(1), 339-358,.

[4] Bertazzi, L., Coelho. L.C., Maio. A., & Lagana. D. (2019) A metaheuristic algorithm for the multi-depot inventory routing problem. Transportation Research part E, 122,. 524-544.

[5] Bottani, E., Vignali, G., Mosna, D., & Montanari, R. (2019) Economic and environmental assessment of different reverse logistics scenarios for food waste recovery, Sustainable Production and Consumption, 20, 289-303.

[6] Calvin, L., Cook, R.L., Dimitri, C., Glaser, L., Handi, C., & Thomsbury, S. (2001) US fresh fruit and vegetable marketing: emerging trade practices, trends, and issues. US Department of Agriculture,
Economic Research Service.

[7] Chankong, V., Haimes, Y.Y. (1983) Multi-objective Decision Making: Theory and Methodology, North-Holland, New York.
[8] Cohon, J. L., (1978) Multi-objective Programming and Planning, Academic Press, New York,.
[9] Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) A fast elitist multi-objective genetic algorithm: NSGA-II, IEEE Transaction on Evolutionary Computation,. 6( 2), 182-197.
[10] Ding, S., Chen. C,. Xin. B., & Pardalos. P.M. (2018) A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches, Applied Soft Computing, 63, 249-267.
[11] Garey, M. R., Johnson, D. (1979) Computers and intractability: A guide to the theory of NP-completeness, New York, USA: W.H. Freeman & Co Ltd,.
[12] Gary, C., Tchamitchian, M. (2001) Modelling and management of fruit production: the case of optimizing distribution of perishable products considering postharvest biological behavior in tomatoes, food process modeling, CRC Press, Boca Raton.
[13] Ghezavati, V. R., Hooshyar, S., & Tavakkoli-Moghaddam, R. (2017) A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. Central European Journal of Operations Research,25(1), 29-54.
[14] Hertog, M. L., Lammertyn, J., Desmet, M., Scheerlinck, N., & Nicolai, B. M. (2004) The impact of biological variation on postharvest behavior of tomato fruit. Postharvest Biology and Technology, 34( 3). 271-284.
[15] Hosseini-Motlagh, S. M., Samani, M. R. G., & Saadi, F. A. (2021) Strategic optimization of wheat supply chain network under uncertainty: a real case study. Operational Research, 21, 1487–1527.
[16] Jafari, M., Bayati, M.H., (2017) Using dragonfly algorithm for optimization of orthotropic infinite plates with a quasi-triangular cut- out. European Journal of Mechanics A/Solids, 66,. 1-14.
[17] Kuhnle, A., Lanza, G. (2019) Investigation of closed-loop supply chains with product refurbishment as integrated location-inventory problem. Production Engineering, 13(3-4), 293-303.
[18] Miller, C.E., Tucker, A.W., & Zemlin. R.A. (1960) Integer programming formulations and travelling salesman problems, Journal of Association for Computing Machinery,.7 , 326-329.
[19] Lutke Entrup, M., Gunther, HO., VanBeek, P., Grunow, M., & Seiler, T. (2005) Mixed-Integer linear programming approaches to shelf-life- integrated planning and scheduling in yoghurt production. International Journal of Production Research, 43(3), 5071-5100.
[20] McLaughlin, E. W., Green, G. M., & Park, K. (1999) Changing distribution patterns in the US fresh produce industry: Mid/Late-70s to Mid/Late-90s. Department of agricultural, Resource, and
Managerial Economics, College of Agriculture and Life Science, Cornell University.
[21] Mirjalili, S. (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems, Neural Computing and applications, 27, 1053-1073.
[22] Minihan, E. S., Wu, Z., (2014) Capturing the macroeconomic impact of technology-based greenhouse gas mitigation in agriculture: a computable general equilibrium approach. Operational Research, 14(2),189-203.
[23] Mousavi, S., M., Sadeghi, J., Akhavan Niaki, S., T., & Tavana, M., (2016) A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA and MOPSO. Applied Soft Computing, 43, 57-72,.
[24] Onggo, B. S., Panadero, J., Gurlo, C. G., & Juan, A. A. (2019) Agri- food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products. Simulation Modelling Practice and Theory, 97.
[25] Osvald, A., Stirn, LZ., (2008) A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food., Journal of Food Engineering, 85(2), 285-295,.
[26] Quimby, A., Maycock, G., Palmer, C., & Buttress, S. (1999) The factors that influence a driver’s choice of speed: a questionnaire study, Transport Research Laboratory TRL, Crowthorn, Berkshire,.
[27] Rau, H., Budiman, S. D., & Widyadana, G. A. (2018) Optimization of the multi-objective cyclical inventory routing problem using discrete multi-swarm PSO method. Transportation Research Part E: Logistics and Transportation Review, 120, 51-75.
[28] Saltveit, ME., (2005) Fruit ripening and fruit quality. Crop Production Science Hortic, 13-145
[29] Song, C., Zhuang, J. (2017) Modeling a government-Manufacturer- Farmer game for food supply chain risk management. Food Control, 78, 443-455.
[30] Shirzadi, S., Tavakkoli-Moghaddam, R., Kia, R., & Mohammadi, M. (2017) A multi-objective imperialist competitive algorithm for integrating intra-cell layout and processing route reliability in a cellular manufacturing system. International Journal of Computer Integrated Manufacturing, 30 (8), 839-855.
[31] Tavakkoli-Moghaddam, R., Azarkish, M., & Sadeghnejad, A. (2011) A new hybrid multi objective Pareto archive PSO algorithm for a bi- objective job shop scheduling problem, Expert systems with applications, 38(9), 10812-10821
[32] Tavana, M., Abtahi, A. R., Di Caprio, D., Hashemi, R., & Yousefi- Zenouz, R. (2018) An integrated location-inventory-routing humanitarian supply chain network with pre-and post-disaster management considerations. Socio-Economic Planning Sciences, 64, 21-37.
[33] Thorp, JH., Rogers, DC. (2014) Thorp and Covich's freshwater invertebrates: ecology and general biology. Elsevier, Amsterdam.
[34] Tijsken, LMM., Evelo, RG. (1994) Modeling color of tomatoes during postharvest storage, Postharvest Biological Technology, 4(1), 85-98.
[35] Tijskens, LMM., Polderdijk, JJ., (1996) A generic model for keeping quality of vegetable produce during storage and distribution, Agricultural System, 51(4), 431-452.
[36] Utomo, D. S., Onggo, B. S., & Eldridge, S. (2018) Applications of agent-based modelling and simulation in the ari-food supply chains, European Journal of Operational Research, 269, 794-805.
[37] Yan, B., Chen, Z., & Li, H., (2019) Evaluation of agri-product supply chain competitiveness based on extension theory. Operational Research, 1-28.