Open Access
Issue
RAIRO-Oper. Res.
Volume 58, Number 5, September-October 2024
Page(s) 4477 - 4497
DOI https://doi.org/10.1051/ro/2024168
Published online 21 October 2024
  • S. Aday and M.S. Aday, “Impact of COVID-19 on the food supply chain”, Food Quality and Safety, 4 (2020) 167–180, DOI: 10.1093/fqsafe/fyaa024. [CrossRef] [Google Scholar]
  • O. Ahumada and J.R. Villalabos, A tactical model for planning the production and distribution of fresh produce. Ann. Oper. Res. 190 (2011) 339–358. [Google Scholar]
  • T. Aized and J.S. Srai, Hierarchical modelling of Last Mile logistic distribution system. Int. J. Adv. Manuf. Technol. 70 (2014) 1053–1061. [CrossRef] [Google Scholar]
  • C.S. Bahinipati, V. Kumar and P.K. Viswanathan, An evidence-based systematic review on farmers’ adaptation strategies in India. Food Secur. 13 (2021) 399–418. [CrossRef] [Google Scholar]
  • S. Balamurugan, A. Ayyasamy and K.S. Joseph, Enhanced petri nets for traceability of food management using internet of things. Peer Peer Netw. Appl. 14 (2020) 30–43. [Google Scholar]
  • G. Behzadi, M.J. O’Sullivan, T. L. Olsen, F. Scrimgeour and A. Zhang, Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain. Int. J. Prod. Econ. 191 (2017) 207–220. [CrossRef] [Google Scholar]
  • M. Bhardwaj and R. Agrawal, “Application of fault tree analysis and Petri Net modeling in perishable product supply chain”, 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore, (2020) 1189–1193, DOI: 10.1109/IEEM45057.2020.9309958. [Google Scholar]
  • M. Biuki, A. Kazemi and A. Alinezhad, An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. J. Clean. Prod. 260 (2020) 120842. [CrossRef] [Google Scholar]
  • W.C. Chen, J. Li and D.P. Wen, Investigating the robustness of the agricultural supply chain based on colored Petri nets. Simulation 91 (2015) 898–915. [CrossRef] [Google Scholar]
  • W. Chen, J. Li and W. Ma, Hybrid flow shop rescheduling algorithm for perishable products subject to a due date with random invalidity to the operational unit. Int. J. Adv. Manuf. Technol. 93 (2017) 225–239. [CrossRef] [Google Scholar]
  • R. David and H. Alla, Discrete, Continuous, and Hybrid Petri Nets. Springer, Heidelberg (2010) [CrossRef] [Google Scholar]
  • M. de Keizer, R. Akkerman, M. Grunow, J.M. Bloemhof, R. Haijema and J.G.A.J. van der Vorst, Logistics network design for perishable products with heterogeneous quality decay. Eur. J. Oper. Res. 262 (2017) 535–549. [CrossRef] [Google Scholar]
  • A. Dolgui, M.K. Tiwari, Y. Sinjana, S.K. Kumar and Y.J. Son, Optimising integrated inventory policy for perishable items in a multi-stage supply chain. Int. J. Prod. Res. 56 (2018) 902–925. [CrossRef] [Google Scholar]
  • J. Dupačová, G. Consigli and S.W. Wallace, Scenarios for multistage stochastic programs. Ann. Oper. Res. 100 (2000) 25–53. [CrossRef] [MathSciNet] [Google Scholar]
  • H. Etemadnia, S.J. Goetz, P. Canning and M.S. Tavallali, Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: an LP-MIP heuristic approach. Eur. J. Oper. Res. 244 (2015) 648–661. [CrossRef] [Google Scholar]
  • S.A. Fahmy, A.M. Zaki and Y.H. Gaber, Optimal locations and flow allocations for aggregation hubs in supply chain networks of perishable products. Socio-Econ. Plan. Sci. 86 (2023) 101500. [CrossRef] [Google Scholar]
  • Y. Fu, K.K. Lai and L. Liang, A robust optimisation approach to the problem of partner selection and allocation in outsourcing. Int. J. Syst. Sci. 47 (2016) 913–918. [CrossRef] [Google Scholar]
  • A. Gallo, R. Accorsi, G. Baruffaldi and R. Manzini, Designing sustainable cold chains for long-range food distribution: energy-effective corridors on the silk road belt. Sustainability 9 (2017) 2044. [CrossRef] [Google Scholar]
  • H. Ge, S. Goetz, P. Canning and A. Perez, Optimal locations of fresh produce aggregation facilities in the United States with scale economies. Int. J. Prod. Econ. 197 (2018) 143–157. [CrossRef] [Google Scholar]
  • S.M. Gholami-Zanjani, W. Klibi, M.S. Jabalameli and M.S. Pishvaee, The design of resilient food supply chain networks prone to epidemic disruptions. Int. J. Prod. Econ. 233 (2021) 108001. [CrossRef] [Google Scholar]
  • S. Gokarn and T.S. Kuthambalayan, Analysis of challenges inhibiting the reduction of waste in food supply chain. J. Clean. Prod. 168 (2017) 595–604. [CrossRef] [Google Scholar]
  • J.E. Gómez-Lagos, M.C. Gonźlez-Araya, W.E. Soto-Silva and M.M. Rivera-Moraga, Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach. Eur. J. Oper. Res. 290 (2021) 297–312. [CrossRef] [Google Scholar]
  • S. Guan, M. Nakamura, T. Shikanai and T. Okazaki, Hybrid Petri nets modeling for farm work flow. Comput. Electron. Agric. 62 (2008) 149–158. [CrossRef] [Google Scholar]
  • O. Hashemi-Amiri, F. Ghorbani and R. Ji, Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: a distributionally robust approach. Comput. Ind. Eng. 175 (2023) 108845. [CrossRef] [Google Scholar]
  • A. Hiassat, A. Diabat and I. Rahwan, A genetic algorithm approach for location-inventory-routing problem with perishable products. J. Manuf. Syst. 42 (2017) 93–103. [CrossRef] [Google Scholar]
  • S. Hubert, T. Helmers, T. Groß and A. Delgado, Data driven stochastic modelling and simulation of cooling demand within breweries. J. Food Eng. 176 (2016) 97–109. [CrossRef] [Google Scholar]
  • K. Jensen and L.M. Kristensen, Coloured Petri Nets Modelling and Validation of Concurrent Systems. Springer, Heidelberg (2009). [CrossRef] [Google Scholar]
  • S.S. Kamble, A. Gunasekaran and S.A. Gawankar, Achieving sustainable performance in a data-driven agriculture supply chain: a review for research and applications. Int. J. Prod. Econ. 219 (2020) 179–194. [CrossRef] [Google Scholar]
  • C.W. Kang, M. Imran, M. Omair, W. Ahmed, M. Ullah and B. Sarkar, Stochastic-petri net modeling and optimization for outdoor patients in building sustainable healthcare system considering staff absenteeism. Mathematics 7 (2019) 499. [CrossRef] [Google Scholar]
  • K. Labadi, H. Chen and L. Amodeo, Modeling and performance evaluation of inventory systems using batch deterministic and stochastic Petri Nets. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37 (2007) 1287–1302. [CrossRef] [Google Scholar]
  • Y. Li, F. Chu, C. Chu and Z. Zhu, An efficient three-level heuristic for the large-scaled multi-product production routing problem with outsourcing. Eur. J. Oper. Res. 272 (2019) 914–927. [CrossRef] [Google Scholar]
  • L. Liu, X. Liu and W. Li, Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain. Food Sci. Nutr. 6 (2018) 843–859. [CrossRef] [Google Scholar]
  • J. Mateo-Fornés, W. Soto-Silva, M.C. González-Araya, L.M. Plà-Aragonès and F. Solsona-Tehas, Managing quality, supplier selection, and cold-storage contracts in agrifood supply chain through stochastic optimization. Int. Trans. Oper. Res. 30 (2023) 1901–1930. [CrossRef] [Google Scholar]
  • S. Mejjaouli and R.F. Babiceanu, Cold supply chain logistics: system optimization for real-time rerouting transportation solutions. Comput. Ind. 95 (2018) 68–80. [CrossRef] [Google Scholar]
  • Ministry of Food Processing Industries (MOFPI), Annual Report, 2020–2021. Government of India. https://mofpi.nic.in/documents/reports/annual-report. [Google Scholar]
  • R. Mousavi, M. Bashiri and E. Nikzad, Stochastic production routing problem for perishable products: modeling and a solution algorithm. Comput. Oper. Res. 142 (2022) 105725. [CrossRef] [Google Scholar]
  • M. Musavi and A. Bozorgi-Amiri, A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Comput. Ind. Eng. 113 (2017) 766–778. [CrossRef] [Google Scholar]
  • K. Óskarsdóttir and G.V. Oddsson, Towards a decision support framework for technologies used in cold supply chain traceability. J. Food Eng. 240 (2019) 153–159. [CrossRef] [Google Scholar]
  • J.A. Orjuela-Castro, L.A. Sanabria-Coronado and A.M. Peralta-Lozano, Coupling facility location models in the supply chain of perishable fruits. Res. Transp. Bus. Manag. 24 (2017) 73–80. [Google Scholar]
  • C.A. Petri, Kommunikation mit Automaten, Ph.D. thesis, Universit¨at Bonn, Germany (1962). [Google Scholar]
  • M.A. Piera, C. Zuñiga and M. Mújica, A pallet packing CPN optimization approach for distribution center. Automatika 50 (2009) 29–38. [Google Scholar]
  • Price and Arrival Statistics, National Horticulture Board (2021). http://nhb.gov.in/statistics/price-arrival-statistics.html. [Google Scholar]
  • A.G. Qasem, F. Aqlan, A. Shamsan and M. Alhendi, A simulation-optimisation approach for production control strategies in perishable food supply chains. J. Simul. 17 (2023) 211–227. [CrossRef] [Google Scholar]
  • N.R. Raghavan and D. Roy, A stochastic Petri Net approach for inventory rationing in multi-echelon supply chains. J. Heuristics 11 (2005) 421–446. [CrossRef] [Google Scholar]
  • A. Rahbari, M.M. Nasiri, F. Werner, M. Musavi and F. Jolai, The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: two robust bi-objective models. Appl. Math. Model. 70 (2019) 605–625. [CrossRef] [MathSciNet] [Google Scholar]
  • R.S. Rana, D. Kumar and K. Prasad, Two warehouse dispatching policies for perishable items with freshness efforts, inflationary conditions and partial backlogging. Oper. Manag. Res. 15 (2021) 28–45. [Google Scholar]
  • R. Raut and B.B. Gardas, Sustainable logistics barriers of fruits and vegetables: an interpretive structural modeling approach. BIJ 25 (2018) 2589–2610. [CrossRef] [Google Scholar]
  • S. Savary, A. Ficke, J.N. Aubertot and C. Hollier, Crop losses due to diseases and their implications for global food production losses and food security. Food Secur. 4 (2012) 519–537. [CrossRef] [Google Scholar]
  • M. Sharma and V. Kumar, Apple farming in Himachal Pradesh: an assessment of marketing problems of apple growers. J. HIPA Shimla 2 (2018) 13–24. [Google Scholar]
  • M.M. Siddh, G. Soni, R. Jain, M.K. Sharma and V. Yadav, Agri-fresh food supply chain quality (AFSCQ): a literature review. Ind. Manag. Data Syst. 117 (2017) 2015–2044. [CrossRef] [Google Scholar]
  • W.E. Soto-Silva, M.C. González-Araya, M.A. Oliva-Fernndez and L.M. Plà-Aragonés, Optimizing fresh food logistics for processing: application for a large Chilean apple supply chain. Comput. Electron. Agric. 136 (2017) 42–57. [CrossRef] [Google Scholar]
  • Statistical Yearbook of Himachal Pradesh, Department of Economic & Statistics. Government of Himachal Pradesh (2019–2020). http://himachalservices.nic.in/economics. [Google Scholar]
  • C.S. Tang, Perspectives in supply chain risk management. Int. J. Prod. Econ. 103 (2006) 451–488. [Google Scholar]
  • F. Taghikhah, A. Voinov, N. Shukla, T. Filatova and M. Anufriev, Integrated modeling of extended agro-food supply chains: a systems approach. Eur. J. Oper. Res. 288 (2021) 852–868. [CrossRef] [Google Scholar]
  • J.G. Van der Vorst, A.J. Beulens and P.V. Beek, Modelling and simulating multi-echelon food systems. Eur. J. Oper. Res. 122 (2000) 354–366. [CrossRef] [Google Scholar]
  • A. Violi, D. Laganá and R. Paradiso, The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain. Soft Comput. 24 (2020) 13725–13740. [CrossRef] [Google Scholar]
  • N. Viswanadham and N. Srinivasa Raghavan, Performance analysis and design of supply chains: a Petri net approach. J. Oper. Res. Soc. 51 (2000) 1158–1169. [CrossRef] [Google Scholar]
  • J.W. Wang, W.H. Ip, R.R. Muddada, J.L. Huang and W.J. Zhang, On Petri net implementation of proactive resilient holistic supply chain networks. Int. J. Adv. Manuf. Technol. 69 (2013) 427–437. [CrossRef] [Google Scholar]
  • J. Wang, R.R. Muddada, H. Wang, J. Ding, Y. Lin, C. Liu and W. Zhang, Toward a resilient holistic supply chain network system: concept, review and future direction. IEEE Syst. J. 10 (2016) 410–421. [CrossRef] [Google Scholar]
  • C. Yan, F. Huanhuan, B. Ablikim, G. Zheng and Z. Xiaoshuan, Traceability information modeling and system implementation in Chinese domestic sheep meat supply chains. J. Food Process Eng. 41 (2018) 1–12. [MathSciNet] [Google Scholar]
  • L. Zhang, X. You, J. Jiao and P. Helo, Supply chain configuration with co-ordinated product, process and logistics decisions: an approach based on Petri nets. Int. J. Prod. Res. 47 (2009) 6681–6706. [CrossRef] [Google Scholar]
  • X. Zhang, Q. Lu and T. Wu, Petri-net based applications for supply chain management: an overview. Int. J. Prod. Res. 49 (2011) 3939–3961. [CrossRef] [Google Scholar]

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