Abstract
The cultivating divisions in India contribute around 17% of the country's Gross domestic product (GDP) and offer work to approximately two third of the general population. However, because of the ongoing work in the food areas, its latent capacity has not been tapped in India. India has an exceptionally enormous population. India is home to more than 120 million people. Because of this explanation, interest in vegetables is likewise very high. However, there is a ton of wastage due to the absence of a legitimate production network. Since vegetables occupy a place among transitory merchandise, they spoil rapidly. These things require appropriate capacity, bulking, processing and transportation to diminish the wastage. The fundamental objective of this research is to discover the issues and difficulties in the vegetable production network and the answer to the issue in a production network. The data has been gathered from different distribution sources like newspapers, papers, articles and magazines, and they try to clarify the obstacles in the vegetable inventory network. The analysis found that inaccessibility of cold chain, poor offices infrastructure, significant expenses, and attrition of new products are the limits influencing the vegetable area. The issue of the production network is resolved by enhancing the cold chain framework, legitimate availability, utilization of current innovation, appropriate grou**, awareness, and the level of information of the farmers. In an agrarian economy like India, vegetables play a pivotal role. Therefore, the network of vegetable stores plays an important role in promoting the food sector.
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References
Ahumada O, & Villalobos J R, (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 133(2), 677–687. https://doi.org/10.1016/j.ijpe.2011.05.015
Akkerman R, Farahani, P, &Grunow M, (2010). Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges. OR spectrum, 32(4), 863–904. https://doi.org/10.1007/s00291-010-0223-2
Atzori L, Iera A and Morabito G ( 2010). The Internet of things: A survey. Comput. Netw., 54(15): 2787-2805. doi:https://doi.org/10.1016/j.comnet.2010.05.010
Alexandratos N, and J. Bruinsma (2012) “World agriculture towards 2030/2050: saving water. From Field to Fork-Curbing Losses and Wastage in the Food Chain 2012 revision.“ Working paper: FAO: ESA No. 12–03, p. 4. https://doi.org/10.4324/9781315083858
Bilgen B, &Ozkarahan I (2007). A mixed-integer linear programming model for bulk grain blending and ship**. International journal of production economics, 107(2), 555–571. https://doi.org/10.1016/j.ijpe.2006.11.008
Blackburn J, & Scudder G. (2009). Supply chain strategies for perishable products: the case of fresh produce. Production and Operations Management, 18(2), 129–137. https://doi.org/10.1111/j.1937-5956.2009.01016.x
Carter C R, & Rogers D S (2008) A framework of sustainable supply chain management: moving toward a new theory. International journal of physical distribution & logistics management. https://doi.org/10.1108/09600030810882816
Chaabane A, Ramudhin A, & Paquet M (2012) Design of sustainable supply chains under the emission trading scheme. International Journal of production economics, 135(1), 37–49. https://doi.org/10.1016/j.ijpe.2010.10.025
Cisco S J (2019). Cisco visual networking index: Global mobile data traffic forecast update, 2017–2022. Proc. Cisco Public Inf, 133. https://doi.org/10.7717/peerj-cs.420/fig-1
Dabbene F, Gay P, & Sacco N. (2008) Optimisation of fresh-food supply chains in uncertain environments, Part I: Background and methodology. Biosystems Engineering, 99(3), 348–359. https://doi.org/10.1016/j.biosystemseng.2007.11.011
Deng X, Yang X, Zhang Y, Li Y, & Lu Z (2019). Risk propagation mechanisms and risk management strategies for a sustainable perishable products supply chain. Computers & Industrial Engineering, 135, 1175-1187. https://doi.org/10.1016/j.cie.2019.01.014
Ferahtia A. (2021) See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/350567414 Surface water quality assessment in semi-arid region (el hodna watershed, algeria) based on water quality index (wqi). https://doi.org/10.24193/subbchem.2021.01.10
Fritz M, & Schiefer G (2008) Food chain management for sustainable food system development: a European research agenda. Agribusiness: An International Journal, 24(4), 440–452. https://doi.org/10.1002/agr.20172
Green KW, Inman R A, Sower V E, & Zelbst P J (2018) Impact of JIT, TQM and green supply chain practices on environmental sustainability. Journal of Manufacturing Technology Management. https://doi.org/10.1108/jmtm-01-2018-0015
Kayikci Y, Subramanian N, Dora M, Bhatia MS Food supply chain in the era of Industry 4.0: Blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology. Prod. Plan. Control 2020, 33, 301–321. https://doi.org/10.1080/09537287.2020.1810757
Lambert D M, &Enz M G (2017). Issues in supply chain management: Progress and potential. Industrial Marketing Management, 62, 1–16. https://doi.org/10.1016/j.indmarman.2016.12.002
Lin J, Shen Z, Zhang A, & Chai Y, (2018) Blockchain and IoT based food traceability for smart agriculture. In Proceedings of the 3rd international conference on crowd science and engineering (pp. 1–6). https://doi.org/10.1145/3265689.3265692
Linton J D, Klassen R, & Jayaraman V (2007) Sustainable supply chains: An introduction. Journal of operations management, 25(6), 1075–1082. https://doi.org/10.1016/j.jom.2007.01.012
Mula J, Peidro D, DÃaz-Madroñero M, &Vicens E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204(3), 377–390. https://doi.org/10.1016/j.ejor.2009.09.008
Meng Q, Cui Y, Wang H, & Li S (2015) Research on food safety traceability technology is based on the Internet of things. Advance Journal of Food Science and Technology, 8(2), 126–130. https://doi.org/10.19026/ajfst.8.1479
Oglethorpe D, (2010) Optimising economic, environmental, and social objectives: a goal-programming approach in the food sector. Environment and Planning A, 42(5), 1239–1254. https://doi.org/10.1068/a42292
Queiroz MM. Telles R, Bonilla S H, Blockchain and supply chain management integration a systematic review of the literature. Supply Chain Manag. Int. J. 2019, 25, 241–254. https://doi.org/10.1108/scm-03-2018-0143
Rong A, &Grunow M (2010) A methodology for controlling dispersion in food production and distribution. Or Spectrum, 32(4), 957-978. https://doi.org/10.1007/s00291-010-0210-7
Shivaji C, Ramachandran M, Prasanth V, Sriram S, Soundhraj S. (2022). Application of adrino devices for various iot application.Renewable and Non renewale energy,1(1),39–45. https://doi.org/10.46632/rne/1/1/7
Szymańska-Brałkowska, M., &Malinowska, E. (2014). Organic food in the aspect of food safety in Poland and in the European Union. Economic and Environmental Studies, 14(3 (31)), 313–327. https://doi.org/10.12775/eip.2018.031
Trienekens J, & Zuurbier P (2008) Quality and safety standards in the food industry, developments and challenges. International journal of production economics, 113(1), 107-122. https://doi.org/10.1016/j.ijpe.2007.02.050
Tian F A, Supply chain traceability system for food safety based on HACCP, blockchain and the Internet of Things. In Proceedings of the 2017 International Conference on Service Systems and Service Management, Dalian, China, 16–18 June 2017 pp. 1–6. https://doi.org/10.1109/icsssm.2017.7996119
van der Vorst J G, Tromp S O, & Zee D J D (2009) Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research, 47(23), 6611-6631. https://doi.org/10.1533/9781845697778.5.387
van der Vorst J G, van Kooten O, &Luning P A (2011) Towards a diagnostic instrument to identify improvement opportunities for quality controlled logistics in agrifood supply chain networks. International journal on food system dynamics, 2(1), 94-105. https://doi.org/10.17660/actahortic.2012.936.4
van der Vorst J G, van Kooten O, Marcelis W J, Luning P A, &Beulens A J (2007) Quality controlled logistics in food supply chain networks: integrated decision-making on quality and logistics to meet advanced customer demands. https://doi.org/10.17660/actahortic.2012.936.4
Wognum P N, Bremmers H, Trienekens J H, van der Vorst J G, & Bloemhof J M (2011). Systems for sustainability and transparency of food supply chains–Current status and challenges. Advanced engineering informatics, 25(1), 65-76. https://doi.org/10.1016/j.aei.2010.06.001
Zhu Q, Sarkis J, & Lai K H (2008) Confirmation of a measurement model for green supply chain management practices implementation. International journal of production economics, 111(2), 261-273. https://doi.org/10.1016/j.ijpe.2006.11.029
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Al Awadh, M., Satapathy, S., Mishra, M. (2024). Food Safety and Tractability with IoT. In: Realyvásquez Vargas, A., Satapathy, S., GarcÃa Alcaraz, J.L. (eds) Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes. Springer, Cham. https://doi.org/10.1007/978-3-031-46708-0_12
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