Abstract
Smart automotive web applications facilitate the easy purchase of automotive accessories online and offer customers real-time automobile services. Such an application offers customers auto parts alongside a great user experience with first-rate quality and customer service. Our website project furnishes all the relevant information needed on the product, product type, model, company, order, items ordered, and the status of the order tracked. Auto parts retailers and online mechanics have long been able to rely on product quality and the niche nature of the said products to set themselves apart. The fierce growth of online competition, however, has been driving consumer-friendly branding strategies. Further, our website provides links to miscellaneous auto spares stores so customers can have access to a wide range of products to choose from and be able to compare prices as well. The user-friendly nature of the application’s UI makes it easy for customers to browse products and eliminates the need to re-specify the automobile type every time a user refreshes or opens another page.
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References
Nasr A, Alajab A, Mohiuddin K (2021) An analytical approach for car spare parts. April Int J Innovative Technol Explor Eng 10(6):61–66
Mohammad Rudwan Yasin (2018), “Online shopping spare parts
Khan N, Kassasbeh A (2018) “A case study on automotive spare parts”. Researchgate
Cortes ME (2017) Automobile spare-parts forecasting: a comparative study of time series methods. March Int J Autom Mech Eng 14(1):3898–3912
Singh DAAG (2016) Mobile application for online automobile accessories shopping system
Persson F, Saccani N (2017) managing the after sales logistic network–a simulation study of a spare parts supply chain. Adv Prod Manage Syst, Springer
Bounou O, El Barkany A, El Biyaali A (2020) "Performance indicators for spare parts and maintenance management: an analytical study”. J Eng 2
Siddique PJ, Luong HT, Shafiq M (2018) An optimal joint maintenance and spare parts inventory model. Int J Indus Syst Eng 29(2):177–192
Bounou O, El Barkany A, El Biyaali A (2017) Inventory models for spare parts management: a review. Int J Eng Res Africa 28:182–198
Mohd Noor N, Zaibidi NZ, Hanafi N (2018) An integration model of planned maintenance and spare parts inventory for periodic order policy. Int J Supply Chain Manage 7(1):144–148
Charan P (2018) Supply chain performance issues in an automobile company: a SAP-LAP analysis. Meas Bus Excellence 16(1):67–86
Yi L, Li HT, Peng J (2014) Longyuan spare parts management system development. Appl Mech Mater V529:686–690
Ganguly S, Sengupta N (2012) Customers perception on automotive spare parts
Alghobiri M, Nasr OA (2017) An assistive examination processing system based on course objectives using a binary approach algorithm. Indian J Sci Technol
Nasr OA, Mohammed A, Ahmed A, Fath Alrahamn T (2015) Design and implementation an online system for course files management by using webml methodology: a higher education perspective (KingKhalid University). Int J Recent Technol Eng (IJRTE) ISSN: 2277–3878, 8(6)
Lewandowski R, Olszewski JI (2020) Automated task scheduling for automotive industry,” In 2020 IEEE 24th international conference on intelligent engineering systems (INES), 2020, pp 159–164
Leonard S, Allison IK, Olszewska JI (2017) Design and test (D&T) of an in-flight entertainment system with camera modification”. In: Proceedings of the IEEE international conference on intelligent engineering systems, pp 151–156
Sampath Kumar VR, Khamis A, Fiorini S, Carbonera JL, Olivares Alarcos A, Habib M et al (2019) Ontologies for industry 4.0”. Knowl Eng Rev 34:1–14
Mohr D, Muller N, Krieg A, Gao P, Kaas HW, Krieger A et al (2020) The road to 2020 and beyond: What’s driving the global automotive industry?
Bochmann L, Baenziger T, Kunz A, Wegener K (2017) Human-robot collaboration in decentralized manufacturing systems: an approach for simulation-based evaluation of future intelligent production. Procedia CIRP 62:624–629
Mayer S, Arnet C, Gankin D, Endisch C (2019) Standardized framework for evaluating centralized and decentralized control systems in modular assembly systems. In: Proceedings of the IEEE international conference on systems man and cybernetics (SMC), pp 113–119
Saboor A, Imran M, Agha MH, Ahmed W (2019) Flexible cell formation and scheduling of robotics coordinated dynamic cellular manufacturing system: a gateway to industry 4.0”. In: Proceedings of the IEEE international conference on robotics and automation in industry, pp 1–6
Abolhassani A, Harner EJ, Jaridi M (2019) Empirical analysis of productivity enhancement strategies in the North American automotive industry. Int J Prod Econ 208:140–159
Anjum SK, Wolff C (2020) Integration of agile methods in automotive software development processes. In: 2020 IEEE 3rd international conference and workshop in Óbuda on electrical and power engineering (CANDO-EPE)
Liu B, Zhang H, Zhu S (2016) An incremental V-model process for automotive development. In: 23rd Asia–Pacific software engineering conference (APSEC) IEEE, pp 225–232
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Bharathiraja, N., Shobana, M., Manokar, S., Kathiravan, M., Irumporai, A., Kavitha, S. (2023). The Smart Automotive Webshop Using High End Programming Technologies. In: Rajakumar, G., Du, KL., Vuppalapati, C., Beligiannis, G.N. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 131. Springer, Singapore. https://doi.org/10.1007/978-981-19-1844-5_64
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