1(4), (2022):1-10. DOI: https://doi.org/10.46632/jdaai/1/4/1
Abin George, M. Ramachandran, Vimala Saravanan, Ashwini Murugan
A manufacturing commercial enterprise is any business that makes use of uncooked materials, components, and additives to collect finished products. Manufacturing is described as the creation of latest merchandise from uncooked materials or components. Productivity to understand what is missing Companies Expanding their service business Based on this extensive research, for managers in manufacturing companies We try to provide guidance. Weighted Total Product Assessment (WASPAS) analysis used the results of this study to provide decision makers with these complexity, compatibility, perceived benefits, technical resources, security and privacy as alternative and evaluation parameters ofArea of manufacturing, Job position, Age, Working experience in this position. Security and privacy is got the first rank whereas is the Perceived benefits is having the Lowest rank. In this paper Manufacturing Companies Security and privacy is got the first rank whereas is the Perceived benefits is having the Lowest rank
De Carolis, Anna, Marco Macchi, Elisa Negri, and Sergio Terzi. “Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap.” In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pp. 487-495. IEEE, 2017.
Gupta, Manak C. “The effect of size, growth, and industry on the financial structure of manufacturing companies.” The Journal of Finance24, no. 3 (1969): 517-529.
Bjørnbet, Marit Moe, ChristoferSkaar, AnnikMagerholmFet, and KjerstiØverbø Schulte. “Circular economy in manufacturing companies: A review of case study literature.” Journal of Cleaner Production294 (2021): 126268.
Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “Concatenated deep features with modified LSTM for enhanced crop disease classification.” International Journal of Intelligent Robotics and Applications (2022): 1-25.
Abdel-Maksoud, Ahmed, David Dugdale, and Robert Luther. “Non-financial performance measurement in manufacturing companies.” The British Accounting Review37, no. 3 (2005): 261-297.
Chaudhari, Rakesh, Riddhish Parekh, and Asha Ingle. “Reliability of dissimilar metal joints using fusion welding: A Review.” In International Conference on Machine Learning, Electrical and Mechanical Engineering (ICMLEME: 2014).–2014. 2014.
Laosirihongthong, Tritos, and G. S. Dangayach. “A comparative study of implementation of manufacturing strategies in Thai and Indian automotive manufacturing companies.” Journal of manufacturing systems24, no. 2 (2005): 131-143.
Mishra, Amit Kumar, and Shweta Paliwal. “Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective.” Cluster Computing (2022): 1-12.
Herron, Colin, and Paul M. Braiden. “A methodology for developing sustainable quantifiable productivity improvement in manufacturing companies.” International journal of production economics104, no. 1 (2006): 143-153.
Kshirsagar, Pravin, and Sudhir Akojwar. “Classification & detection of neurological disorders using ICA & AR as feature extractor.” Int. J. Ser. Eng. Sci. IJSES 1, no. 1 (2015).
Gebauer, Heiko, Thomas Friedli, and Elgar Fleisch. “Success factors for achieving high service revenues in manufacturing companies.” Benchmarking: An International Journal(2006).
Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model.” Intelligent Decision Technologies Preprint: 1-23.
Zhang, Zhihai, A. B. Waszink, and Jacob Wijngaard. “An instrument for measuring TQM implementation for Chinese manufacturing companies.” International Journal of Quality & Reliability Management(2000).
Chaudhari, Rakesh N., Sharuk L. Khan, Ravindra S. Chaudhary, Shirish P. Jain, and Falak A. Sidduqui. “Β-sitosterol: Isolation from muntingia calabura linn. bark extract, structural elucidation, and molecular docking studies as potential inhibitor of sars-cov-2 mpro (COVID-19).” Asian J. Pharm. Clin. Res. (2020): 204-209.
Gahm, Christian, Florian Denz, Martin Dirr, and Axel Tuma. “Energy-efficient scheduling in manufacturing companies: A review and research framework.” European Journal of Operational Research248, no. 3 (2016): 744-757.
Kshirsagar, Pravin, and Dr Sudhir Akojwar. “Classification and Prediction of Epilepsy using FFBPNN with PSO.” In IEEE international conference on communication networks, vol. 17. 2015.
Ab Rahman, MohdNizam, Nor KamalianaKhamis, RosmaizuraMohd Zain, Baba MdDeros, and Wan Hasrulnizzam Wan Mahmood. “Implementation of 5S practices in the manufacturing companies: A case study.” American Journal of Applied Sciences7, no. 8 (2010): 1182-1189.
Arya, Vishakha, Amit Kumar Mishra Mishra, and Alfonso González-Briones. “Analysis of sentiments on the onset of COVID-19 using machine learning techniques.” ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 11, no. 1 (2022): 45-63.
Jain, Divya, Meenu Chopra, Mrs G. Shalini, Anita Venaik, K. Sharath Babu, and Shathaboina Raju. “PUBLICITY RIGHT AND RIGHT TO PRIVACY: AN INDIAN PERSPECTIVE.” 湖南大学学报 (自然科学版) 49, no. 06 (2022).
Pamučar, Dragan, SinišaSremac, ŽeljkoStević, Goran Ćirović, and DejanTomić. “New multi-criteria LNN WASPAS model for evaluating the work of advisors in the transport of hazardous goods.” Neural Computing and Applications31, no. 9 (2019): 5045-5068.
Kittur, Jeevan, Bhavya Desai, Rakesh Chaudhari, and Praveen Kumar Loharkar. “A comparative study of EMI shielding effectiveness of metals, metal coatings and carbon-based materials.” In IOP Conference Series: Materials Science and Engineering, vol. 810, no. 1, p. 012019. IOP Publishing, 2020.
Mishra, Arunodaya Raj, and Pratibha Rani. “Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy.” Group Decision and Negotiation27, no. 6 (2018): 1047-1078.
Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “IOT based Automated Greenhouse Using Machine Learning Approach.” International Journal of Intelligent Systems and Applications in Engineering 10, no. 2 (2022): 226-231.
Singh, Rohit Kumar, and Sachin Modgil. “Supplier selection using SWARA and WASPAS–a case study of Indian cement industry.” Measuring Business Excellence(2020).
Akojwar, Dr Sudhir, Pravin Kshirsagar, and Vijetalaxmi Pai. “Feature extraction of EEG signals using wavelet and principal component analysis.” In National Conference on Research Trends In Electronics, Computer Science & Information Technology and Doctoral Research Meet. 2014.
Prajapati, Himanshu, Ravi Kant, and Ravi Shankar. “Prioritizing the solutions of reverse logistics implementation to mitigate its barriers: A hybrid modified SWARA and WASPAS approach.” Journal of Cleaner Production240 (2019): 118219.
Tibadia, Rajkumar, Koustubh Patwardhan, Dhrumil Shah, Dinesh Shinde, Rakesh Chaudhari, and Kanak Kalita. “Experimental investigation on hole quality in drilling of composite pipes.” Transactions of the Canadian Society for Mechanical Engineering 42, no. 2 (2018): 147-155.
Nautiyal, Aditi, and Amit Kumar Mishra. “Machine learning approach for intelligent prediction of petroleum upstream stuck pipe challenge in oil and gas industry.” Environment, Development and Sustainability (2022): 1-27.
Lashgari, Shima, JurgitaAntuchevičienė, AlirezaDelavari, and Omid Kheirkhah. “Using QSPM and WASPAS methods for determining outsourcing strategies.” Journal of Business Economics and Management15, no. 4 (2014): 729-743.
Akojwar, Sudhir G., and Pravin R. Kshirsagar. “Performance evolution of optimization techniques for mathematical benchmark functions.” International Journal of Computers 1 (2016).
Badalpur, Mohammadreza, and Ehsan Nurbakhsh. “An application of WASPAS method in risk qualitative analysis: A case study of a road construction project in Iran.” International Journal of Construction Management21, no. 9 (2021): 910-918.
Raju, Shathaboina, and K. Raji Reddy. “Seed Industry in Andrha Pradesh–Problems and Prospects of Seed Producers: An Empirical Study.” International Journal 3, no. 4 (2015).
Ali, Jawad, Zia Bashir, and Tabasam Rashid. “WASPAS-based decision making methodology with unknown weight information under uncertain evaluations.” Expert Systems with Applications168 (2021): 114143.
Khan, Hera, Ayush Srivastav, Amit Kumar Mishra, and Tien Anh Tran. “Machine learning methods for estimating permeability of a reservoir.” International Journal of System Assurance Engineering and Management (2022): 1-14.
Kalita, Kanak, Rakesh Chaudhari, and M. Ramachandran. “Mechanical characterization and finite element investigation on properties of PLA-jute composite.” International Journal of Computer Applications 123, no. 13 (2015).
Kshirsagar, Pravin R., Anil N. Rakhonde, and Pranav Chippalkatti. “MRI image based brain tumor detection using machine learning.” Test Engineering and Management 81 (2020): 3672-3680.
KeshavarzGhorabaee, Mehdi, MaghsoudAmiri, EdmundasKazimierasZavadskas, and JurgitaAntuchevičienė. “Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets.” Transport32, no. 1 (2017): 66-78.
RAJU, SHATHABOINA, and D. THIRUVENGALA CHARY. “The Influence of Covid-19 on Consumer Behavior in Telangana State Regarding Fast-Moving Consumer Goods (FMCG): A Study.”
Mardani, Abbas, MehrbakhshNilashi, NorhayatiZakuan, NanthakumarLoganathan, SomayehSoheilirad, Muhamad Zameri Mat Saman, and Othman Ibrahim. “A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments.” Applied Soft Computing57 (2017): 265-292.
Khan, Hera, Ayush Srivastav, and Amit Kumar Mishra. “Multiclass Intent Analysis: Beyond the Conventional Polarities.” ECS Transactions 107, no. 1 (2022): 7119.
Zavadskas, E. K., D. Kalibatas, and D. Kalibatiene. “A multi-attribute assessment using WASPAS for choosing an optimal indoor environment.” Archives of Civil and Mechanical Engineering16, no. 1 (2016): 76-85.
Chaudhari, Rakesh, Asha Ingle, and Kanak Kalita. “Stress analysis of dissimilar metal weld between carbon steel and stainless steel formed by transition grading technique.” Materials Today: Proceedings 2, no. 4-5 (2015): 1657-1664.
Kshirsagar, Pravin R., and Sudhir G. Akojwar. “Prediction of neurological disorders using optimized neural network.” In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1695-1699. IEEE, 2016.
Turskis, Zenonas, NikolajGoranin, AsselNurusheva, and SeilkhanBoranbayev. “A fuzzy WASPAS-based approach to determine critical information infrastructures of EU sustainable development.” Sustainability11, no. 2 (2019): 424.
Raju, Shathaboina, and K. Raji Reddy. “ISSUES AND CHALLENGES OF SEED INDUSTRY IN INDIA: A STUDY.” International Journal of Retailing & Rural Business Perspectives 3, no. 2 (2014): 1008.
Rudnik, Katarzyna, GrzegorzBocewicz, AnetaKucińska-Landwójtowicz, and Izabela D. Czabak-Górska. “Ordered fuzzy WASPAS method for selection of improvement projects.” Expert Systems with Applications169 (2021): 114471.
Chaudhari, R., P. K. Loharkar, and A. Ingle. “Applications and challenges of arc welding methods in dissimilar metal joining.” In IOP Conference Series: Materials Science and Engineering, vol. 810, no. 1, p. 012006. IOP Publishing, 2020.
Zavadskas, EdmundasKazimieras, JurgitaAntucheviciene, Seyed Hossein RazaviHajiagha, and Shide Sadat Hashemi. “Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF).” Applied soft computing24 (2014): 1013-1021.
Singh, Ninni, Vinit Kumar Gunjan, Amit Kumar Mishra, Ram Krishn Mishra, and Nishad Nawaz. “SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education.” Sustainability 14, no. 7 (2022): 4167.
Chary, D. Thiruvengala, Shathaboina Raju, D. Ravinder, and K. Raji Reddy. “Factors influencing consumers to invest in Cryptocurrency: Implications for the Indian Society: An Explanatory Study.”
Keshavarz-Ghorabaee, Mehdi, MaghsoudAmiri, Mohammad Hashemi-Tabatabaei, EdmundasKazimierasZavadskas, and ArturasKaklauskas. “A new decision-making approach based on Fermateanfuzzy sets and WASPAS for green construction supplier evaluation.” Mathematics8, no. 12 (2020): 2202.
Kshirsagar, Pravin, Akshay Pote, K. K. Paliwal, Vaibhav Hendre, Pranav Chippalkatti, and Nikhil Dhabekar. “A review on IOT based health care monitoring system.” ICCCE 2019 (2020): 95-100.
Chaudhari, Rakesh, and Asha Ingle. “Experimental investigation of dissimilar metal weld of SA335 P11 and SA312 TP304 formed by gas tungsten arc welding (GTAW).” Transactions of the Indian Institute of Metals 72, no. 5 (2019): 1145-1152.
Stojić, Gordan, ŽeljkoStević, JurgitaAntuchevičienė, Dragan Pamučar, and Marko Vasiljević. “A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products.” Information9, no. 5 (2018): 121.
Abin George, M. Ramachandran, Vimala Saravanan, Ashwini Murugan, “Assessment of Manufacturing Companies using WASPAS MCDM Method”, REST Journal on Data Analytics and Artificial Intelligence, 1(4), (2022):1-10.