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2024 | OriginalPaper | Chapter

10. Enhancing Transparency and Efficiency in the Fruits and Vegetables Cold Chain Through Blockchain Integration

Authors : Abhinav Yash, Ashwani Shukla, Rakesh Chandmal Sharma

Published in: Dynamics of Transportation Ecosystem, Modeling, and Control

Publisher: Springer Nature Singapore

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Abstract

This study examines how blockchain technology could transform India's F&V cold chain. We use blockchain's decentralization and transparency to improve F&V supply chain traceability, quality control, and efficiency. Based on secondary data on India's F&V cold chain, we identified blockchain as a possible solution. Blockchain technology records every cold supply chain transaction immutably and transparently, allowing stakeholders to track F&V items from farm to export or consumer. This ensures products are handled carefully according to regulations and temperature. Additionally, blockchain provides real-time visibility into the supply chain, allowing stakeholders to quickly identify and resolve issues before they compromise product integrity. The blockchain integration framework intends to give stakeholders secure and transparent supply chain records to build trust, enter new markets, and boost competitiveness. In conclusion, this study examines blockchain technology's potential in the F&V cold supply chain and proposes a comprehensive integration architecture to improve transparency and efficiency.

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Palli S, Koona R, Sharma SK, Sharma RC (2018) A review on dynamic analysis of rail vehicle coach. Int J Vehicle Structures Syst 10(3):204–211. https://doi.org/10.4273/ijvss.10.3.10

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Sharma RC, Sharma SK, Palli S (2018) Rail vehicle modelling and simulation using lagrangian method. Int J Vehicle Struct Syst 10(3):188–194. https://doi.org/10.4273/ijvss.10.3.07

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Sharma SK, Lee J (2021) Crashworthiness analysis for structural stability and dynamics. Int J Struct Stab Dyn 21:2150039. https://doi.org/10.1142/S0219455421500395CrossRef

Sharma RC, Palli S (2016) Analysis of creep force and its sensitivity on stability and vertical-lateral ride for railway vehicle. Int J Veh Noise Vib 12:60. https://doi.org/10.1504/IJVNV.2016.077474CrossRef

Sharma RC, Sharma SK (2022) Ride analysis of road surface-three-wheeled vehicle-human subject interactions subjected to random excitation. SAE Int J Commer Vehicles 15(3):02-15-03–0017. https://doi.org/10.4271/02-15-03-0017

Sharma RC, Palli S, Sharma SK, Roy M (2017) Modernization of railway track with composite sleepers. Int J Vehicle Struct Syst 9(5):321–329. https://doi.org/10.4273/ijvss.9.5.10

Sharma RC, Sharma SK, Sharma N, Sharma S (2020d) Analysis of ride and stability of an ICF railway coach. Int J Veh Noise Vib 16:127. https://doi.org/10.1504/IJVNV.2020.117820CrossRef

Sharma RC, Sharma S, Sharma SK, Sharma N (2020e) Analysis of generalized force and its influence on ride and stability of railway vehicle. Noise Vib Worldw 51:95–109. https://doi.org/10.1177/0957456520923125CrossRef

Sharma SK, Sharma RC, Lee J (2021c) Effect of rail vehicle-track coupled dynamics on fatigue failure of coil spring in a suspension system. Appl Sci 11:2650. https://doi.org/10.3390/app11062650CrossRef

Sharma SK, Mohapatra S, Sharma RC, Alturjman S, Altrjman C, Mostarda L, Stephan T (2022a) Retrofitting existing buildings to improve energy performance. Sustainability 14:666. https://doi.org/10.3390/su14020666CrossRef

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Sharma SK, Lee J, Jang H-L (2022c) Mathematical modeling and simulation of suspended equipment impact on car body modes. Machines 10:192. https://doi.org/10.3390/machines10030192CrossRef

Sharma SK, Sharma RC, Lee J (2022d) In situ and experimental analysis of longitudinal load on carbody fatigue life using nonlinear damage accumulation. Int J Damage Mech 31:605–622. https://doi.org/10.1177/10567895211046043CrossRef

Sharma RC, Palli S, Sharma SK (2023b) Ride analysis of railway vehicle considering rigidity and flexibility of the carbody. J Chinese Inst Eng 46:355–366. https://doi.org/10.1080/02533839.2023.2194918CrossRef

Sharma RC, Gopala Rao LVV, Sharma SK, Palli S, Satyanarayana VSV (2022a) Analysis of lateral stability and ride of an indian railway constrained dual-axle bogie frame. SAE Int J Commer Vehicles 16(2):02-16-02–0014. https://doi.org/10.4271/02-16-02-0014

Sharma RC, Palli S, Gopala Rao LVV, Duppala A, Sharma SK (2022b) Four-Wheel Vehicle Response under Bump, Pothole, Harmonic, and Random Excitations Using Bond Graph/Simulink Technique. SAE Int J Commer Vehicles 16(2):02-16-02–0008. https://doi.org/10.4271/02-16-02-0008

Sharma RC, Palli S, Jha AK, Bhardawaj S, Sharma SK (2022c) Vibration and ride comfort analysis of railway vehicle system subjected to deterministic inputs. Resmilitaris 12(5):1345–1355

Sharma RC, Sharma SK (2022c) Ride analysis of road surface-three-wheeled vehicle-human subject interactions subjected to random excitation. SAE Int J Commer Vehicles 15(3):02-15-03–0017. https://doi.org/10.4271/02-15-03-0017

Sharma SK, Kumar A (2017) Impact of electric locomotive traction of the passenger vehicle Ride quality in longitudinal train dynamics in the context of Indian railways. Mech Ind 18(2):222. https://doi.org/10.1051/meca/2016047

Sharma SK, Kumar A (2018) Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system. Proc Inst Mech Eng Part K. J Multi-body Dyn 232:32–48. https://doi.org/10.1177/1464419317706873

Sharma SK, Kumar A (2018a) Disturbance rejection and force-tracking controller of nonlinear lateral vibrations in passenger rail vehicle using magnetorheological fluid damper. J Intel Mater Syst Struct 29(2):279–297. https://doi.org/10.1177/1045389X17721051

Sharma SK, Kumar A (2018b) Impact of longitudinal train dynamics on train operations: a simulation-based study. J Vibr Eng Technol 6(3):197–203. https://doi.org/10.1007/s42417-018-0033-4

Sharma SK, Sharma RC (2018a) An investigation of a locomotive structural crashworthiness using finite element simulation. SAE Int J Commer Vehicles11(4):235–244. https://doi.org/10.4271/02-11-04-0019

Sharma SK, Sharma RC (2018b) Simulation of quarter-car model with magnetorheological dampers for ride quality improvement. Int J Vehicle Struct Syst 10(3):169–173. https://doi.org/10.4273/ijvss.10.3.03

Sharma SK, Lee J (2020a) Finite element analysis of a fishplate rail joint in extreme environment condition. Int J Veh Struct Syst 12. https://doi.org/10.4273/ijvss.12.5.03

Sharma SK, Sharma RC (2019) Pothole detection and warning system for Indian roads. In Advances in interdisciplinary engineering. Lecture notes in mechanical engineering. Springer, Singapore, pp 511–519. https://doi.org/10.1007/978-981-13-6577-5_48

Sharma S, Sharma RC, Sharma SK, Sharma N, Palli S, Bhardawaj S (2020) Vibration isolation of the quarter car model of road vehicle system using dynamic vibration absorber. Int J Veh Struct Syst 12. https://doi.org/10.4273/ijvss.12.5.05

Sharma SK, Sharma RC, Kumar A, Palli S (2015) Challenges in rail vehicle-track modeling and simulation. Int J Veh Struct Syst 7(1):1–9. https://doi.org/10.4273/ijvss.7.1.01

Sharma RC, Sharma SK, Palli S (2020b) Linear and non-linear stability analysis of a constrained railway wheelaxle. Int J Veh Struct Syst 12. https://doi.org/10.4273/ijvss.12.2.04

Sharma SK, Sharma RC, Sharma N (2020c) Combined multi-body-system and finite element analysis of a rail locomotive crashworthiness. Int J Veh Struct Syst 12. https://doi.org/10.4273/ijvss.12.4.15

Sharma RC, Palli S, Sharma N, Sharma SK (2021) Ride behaviour of a four-wheel vehicle using H infinity semi-active suspension control under deterministic and random inputs. Int J Veh Struct Syst 13. https://doi.org/10.4273/ijvss.13.2.18

Sharma RC, Sharma S, Sharma N, Sharma SK (2021) Linear and nonlinear analysis of ride and stability of a three-wheeled vehicle subjected to random and bump inputs using bond graph and simulink methodology. SAE Int J Commer Veh 14:02-15-01-0001. https://doi.org/10.4271/02-15-01-0001

Sharma RC, Sharma S, Sharma SK, Sharma N, Singh G (2021d) Analysis of bio-dynamic model of seated human subject and optimization of the passenger ride comfort for three-wheel vehicle using random search technique. Proc Inst Mech Eng Part K J Multi-body Dyn 235:106–121. https://doi.org/10.1177/1464419320983711

Sharma RC, Palli S, Bhardawaj S (2023) A review of wheel-rail dynamic behavior on curved tracks. Int J Veh Struct Syst 15. https://doi.org/10.4273/ijvss.15.1.04

Sharma RC, Bhardawaj S, Sharma SK, Bahl S (2023a) Ride behaviour of three-wheel vehicle using semi-active suspension using skyhook control strategy. Int J Veh Struct Syst 15(1). https://doi.org/10.4273/ijvss.15.1.05

Sharma SK, Sharma RC, Choi Y, Lee J (2023b) Experimental and mathematical study of flexible–rigid rail vehicle riding comfort and safety. Appl Sci 13(9):5252

Sharma SK, Sharma RC, Choi Y, Lee J (2023c) Modelling and dynamic analysis of adaptive neuro-fuzzy inference system-based intelligent control suspension system for passenger rail vehicles using magnetorheological damper for improving ride index. Sustainability, 15(16): 12529

Sharma SK, Sharma RC, Lavania S, Palli S, Avesh M (2023d) Industry-driven approach for anfis-based intelligent control suspension system with mr damper for enhanced ride quality in passenger rail vehicles for technological investigations. Nat Acad Sci Let 1–4

Sharma SK, Sharma RC, Upadhyay RK, Lee J (2023e) Coupled torsional–transverse vibration reduction in marine propulsion dynamics with novel approach using magnetorheological damping and adaptive control system. J Vibrat Eng Technol 1–11

Sharma SK, Upadhyay RK, Kumar V, Valera H (2023f) Introduction to sustainable transportation system. In: Transportation Energy and Dynamics, pp. 3–6, Springer

Sharma RC, Palli S, Dharmana L, Sharma SK, Sharma A, Kharola A, Sharma N (2024b) Simulation of transient dynamic response of a locomotive considering its flexibility and rigidity. Noise Vibr Worldwide 55(1–2):33–47

Sharma RC, Palli S, Duppala A, Bhardawaj S, Sharma SK, Sharma N, Sharma A (2024c) Rigid body analysis of ride behaviour of roadway vehicle using lagrangian dynamics. Int J Veh Struct Syst (IJVSS) 16(1)

Sharma RC, Sharma N, Palli S, Sharma SK, Joshi S, Rallabandi SR, Sharma A (2024d) Dynamic behavior of three-wheel vehicle with inerter-based dynamic absorber suspension system. Noise Vibrat Worldwide 09574565241243398

Sharma SK, Kumar N, Avesh M, Sharma RC, Siddiqui MIH, Lee J (2024e) Navigating tranquillity with H∞ controller to mitigate ship propeller shaft vibration. J Vibrat Eng Technol 1–11

Sharma SK, Sharma RC, Lee J (2024f) Modelling and simulation of MR damper characterization and uncertainty assessment in marine engine vibration isolation with FLPID control. Int J Model Simul 1–11

Sharma SK, Sharma RC, Lee J (2024g) Propelling precision of longitudinal vibration mitigation in ship propeller shafts through advanced nonlinear intelligent semi-active control leveraging adaptive neuro-fuzzy inference system with linear quadratic regulator. J Vibrat Control 10775463241244836

Sharma SK, Sharma RC, Upadhyay RK, Lee J (2024h) Enhanced ship engine vibration reduction using magnetorheological dampers and Adaptive Neuro-Fuzzy Control System. Ships Offshore Struct 1–17

Sinha AK, Sengupta A, Gandhi H, Bansal P, Agarwal KM, Sharma SK, Sharma RC, Sharma SK (2019) Performance enhancement of an all-terrain vehicle by optimizing steering, powertrain and brakes. In Advances in engineering design. Lecture notes in mechanical engineering. Springer, Singapore, pp 207–215. https://doi.org/10.1007/978-981-13-6469-3_19

Swapna Rekha H, Nayak J, Behera HS (2020) Pi-sigma neural network: survey of a decade progress. In: Computational intelligence in pattern recognition. Advances in intelligent systems and computing, 1120. Springer, Singapore, pp 429–441. https://doi.org/10.1007/978-981-15-2449-3_37

Upadhyay RK, Sharma SK, Kumar V, Valera H (2023a) Introduction to transportation systems technology and integrated management. In: Transportation Systems Technology and Integrated Management, pp. 1–4, Springer. https://doi.org/10.1007/978-981-99-1517-0_1

Upadhyay RK, Sharma SK, Kumar V, Valera H (2023b) Transportation systems technology and integrated management. In: Upadhyay RK, Sharma SK, Kumar V, Valera H (eds) Springer Nature, Singapore, https://doi.org/10.1007/978-981-99-1517-0

Upadhyay RK, Sharma SK, Kumar V (Eds) (2024a) Intelligent transportation system and advanced technology. Springer Nature Singapore. https://doi.org/10.1007/978-981-97-0515-3

Upadhyay RK, Sharma SK, Kumar V (2024b) Introduction to intelligent transportation system and advanced technology. In: Intelligent transportation system and advanced technology. Energy, Environment, and Sustainability. pp 3–6. Springer, Singapore. https://doi.org/10.1007/978-981-97-0515-3_1

Vishwakarma PN, Mishra P, Sharma SK (2022a) Characterization of a magnetorheological fluid damper a review. Materials Today: Proceedings 56:2988–2994. https://doi.org/10.1016/j.matpr.2021.11.143

Vishwakarma PN, Mishra P, Sharma SK (2022b) Formulation of semi-active suspension system and controls in rail vehicle. SSRN Electron J. https://doi.org/10.2139/ssrn.4159616

Wu Q, Cole C, Spiryagin M, Chang C, Wei W, Ursulyak L, Shvets A, Murtaza MA, Mirza IM, Zhelieznov К, Mohammadi S, Serajian H, Schick B, Berg M, Sharma RC, Aboubakr, A., Sharma SK, Melzi S, Di Gialleonardo E, Cantone L (2023) Freight train air brake models. Int J Rail Transport 11(1):1–49. https://doi.org/10.1080/23248378.2021.2006808

Title: Enhancing Transparency and Efficiency in the Fruits and Vegetables Cold Chain Through Blockchain Integration
Authors: Abhinav Yash
Ashwani Shukla
Rakesh Chandmal Sharma
Publisher: Springer Nature Singapore
Book: Dynamics of Transportation Ecosystem, Modeling, and Control
Print ISBN: 978-981-9704-36-1

Electronic ISBN: 978-981-9704-37-8

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-97-0437-8_10

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