1(4), (2022):14-22. DOI: http://doi.org/10.46632/jbab/1/4/3
T. Naresh Babu, M. Ramachandran, Sathiyaraj Chinnasamy, Ashwini Murugan
One is called 2PL or second party logistics. A 3PL refers to parts of the supply chain Distribution, Warehousing and Fulfillment Including outsourcing to third parties is a company that does, while a 2PL is shipping lines, airlines or cargo the senders are the actual carrier. What is Third Party Logistics? Logistics and in the context of supply chain management, the company outsources businesses to third parties uses to make or distribute them and third-party fulfillment services Also known as logistics. Alternative are Operational efficiency, customer operations Integration, vertical or horizontal integration, supply chain management and Integration. Evaluation option: % of personnel in gen. mgmt and business development, % of services is value – added, Expected annual growth rate 1995-1998 in %, Competencies, Skills lacking. From the result is Skills lacking got the first grade, Competencies got having the lowest rank. The value of the dataset for Third-party logistics in COPRAS method shows that it results in Skills lacking Decision and top ranking.
Marasco, Alessandra. “Third-party logistics: A literature review.” International Journal of production economics113, no. 1 (2008): 127-147.
Aguezzoul, Aicha. “Third-party logistics selection problem: A literature review on criteria and methods.” Omega49 (2014): 69-78.
Bhatnagar, Rohit, Amrik S. Sohal, and Robert Millen. “Third party logistics services: a Singapore perspective.” International Journal of Physical Distribution & Logistics Management(1999).
Hertz, Susanne, and Monica Alfredsson. “Strategic development of third party logistics providers.” Industrial marketing management32, no. 2 (2003): 139-149.
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.
Vaidyanathan, Ganesh. “A framework for evaluating third-party logistics.” Communications of the ACM48, no. 1 (2005): 89-94.
Aghazadeh, Seyed‐Mahmoud. “How to choose an effective third party logistics provider.” Management research news(2003).
Sreejith, R., and K. R. Sinimole. “Modelling evacuation preparation time prior to floods: A machine learning approach.” Sustainable Cities and Society87 (2022): 104257.
Sohail, M. Sadiq, and Amrik S. Sohal. “The use of third party logistics services: a Malaysian perspective.” Technovation23, no. 5 (2003): 401-408.
Kshirsagar, Pravin, and Sudhir Akojwar. “Classification & detection of neurological disorders using ICA & AR as feature extractor.” J. Ser. Eng. Sci. IJSES1, no. 1 (2015).
Halldórsson, Arni, and Tage Skjøtt‐Larsen. “Developing logistics competencies through third party logistics relationships.” International Journal of Operations & Production Management(2004).
KEYWORD, USING DENSITY OF. “WEB GRAPH BASED SEARCH BY USING DENSITY OF KEYWORD AND AGE FACTOR.” (2013).
Van Laarhoven, Peter, Magnus Berglund, and Melvyn Peters. “Third‐party logistics in Europe–five years later.” International Journal of Physical Distribution & Logistics Management(2000).
Kapoor, Nishant Raj, Ashok Kumar, Anuj Kumar, Anil Kumar, and Krishna Kumar. “Transmission Probability of SARS-CoV-2 in Office Environment Using Artificial Neural Network.” IEEE Access10 (2022): 121204-121229.
Skjøtt‐Larsen, Tage. “Third party logistics–from an interorganizational point of view.” International journal of physical distribution & logistics management(2000).
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.
Dapiran, Peter, Robert Lieb, Robert Millen, and Amrik Sohal. “Third party logistics services usage by large Australian firms.” International Journal of Physical Distribution & Logistics Management(1996).
Lieb, Robert C., and Brooks A. Bentz. “The use of third-party logistics services by large American manufacturers: The 2003 survey.” Transportation Journal(2004): 24-33.
Shitharth, S., Pratiksha Meshram, Pravin R. Kshirsagar, Hariprasath Manoharan, Vineet Tirth, and Venkatesa Prabhu Sundramurthy. “Impact of Big Data Analysis on Nanosensors for Applied Sciences using Neural Networks.” Journal of Nanomaterials2021 (2021).
Knemeyer, A. Michael, and Paul R. Murphy. “Evaluating the performance of third‐party logistics arrangements: a relationship marketing perspective.” Journal of supply chain management40, no. 4 (2004): 35-51.
Kumar Pandey, Rakesh, Anil Kumar, Ajay Mandal, and Behzad Vaferi. “Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests.” Journal of Energy Resources Technology144, no. 11 (2022): 113002.
Liu, Chiung-Lin, and Andrew C. Lyons. “An analysis of third-party logistics performance and service provision.” Transportation Research Part E: Logistics and Transportation Review47, no. 4 (2011): 547-570.
Saaran, Viraat, Vaishali Kushwaha, Sachi Gupta, and Gaurav Agarwal. “A Literature Review on Generative Adversarial Networks with Its Applications in Healthcare.” In Congress on Intelligent Systems, pp. 215-225. Springer, Singapore, 2020.
Ying, Wang, and Sang Dayong. “Multi-agent framework for third party logistics in E-commerce.” Expert Systems with Applications29, no. 2 (2005): 431-436.
Sreejith, R., and S. Senthil. “Dynamic Data Infrastructure Security for Interoperable e-Healthcare Systems: A Semantic Feature-Driven NoSQL Intrusion Attack Detection Model.” BioMed Research International2022 (2022).
Kim, Changsu, Kyung Hoon Yang, and Jaekyung Kim. “A strategy for third-party logistics systems: A case analysis using the blue ocean strategy.” Omega36, no. 4 (2008): 522-534.
Kumar, Anil, Rajabov Sherzod Umurzoqovich, Nguyen Duc Duong, Pratik Kanani, Arulmani Kuppusamy, M. Praneesh, and Minh Ngyen Hieu. “An intrusion identification and prevention for cloud computing: From the perspective of deep learning.” Optik270 (2022): 170044.
Sundaramurthy, Shanmugam, C. Saravanabhavan, and Pravin Kshirsagar. “Prediction and classification of rheumatoid arthritis using ensemble machine learning approaches.” In 2020 International Conference on Decision Aid Sciences and Application (DASA), pp. 17-21. IEEE, 2020.
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 TechnologiesPreprint: 1-23.
Arroyo, Pilar, Juan Gaytan, and Luitzen de Boer. “A survey of third party logistics in Mexico and a comparison with reports on Europe and USA.” International Journal of Operations & Production Management(2006).
Min, Hokey, and Hyun-Jeung Ko. “The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers.” International Journal of Production Economics113, no. 1 (2008): 176-192.
Kumar Pandey, Rakesh, Shrey Aggarwal, Griesha Nath, Anil Kumar, and Behzad Vaferi. “Metaheuristic algorithm integrated neural networks for well-test analyses of petroleum reservoirs.” Scientific Reports12, no. 1 (2022): 1-16.
Panayides, Photis M., and Meko So. “The impact of integrated logistics relationships on third-party logistics service quality and performance.” Maritime Economics & Logistics7, no. 1 (2005): 36-55.
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.
Wagner, Stephan M., and Reto Sutter. “A qualitative investigation of innovation between third-‐party logistics providers and customers.” International Journal of Production Economics140, no. 2 (2012): 944-958.
Gupta, Sachi, and Gaurav Agarwal. “Hybrid fuzzy-based Deep Remora Reinforcement Learning Based Task Scheduling in Heterogeneous Multicore-processor.” Microprocessors and Microsystems92 (2022): 104544.
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.
Domingues, Maria Leonor, Vasco Reis, and Rosário Macário. “A comprehensive framework for measuring performance in a third-party logistics provider.” Transportation Research Procedia10 (2015): 662-672.
Kumar, Anil, Saleh A. Alghamdi, Abolfazl Mehbodniya, Julian L. Webber, and Shavkatov Navruzbek Shavkatovich. “Smart power consumption management and alert system using IoT on big data.” Sustainable Energy Technologies and Assessments53 (2022): 102555.
Shi, Yangyan, Abraham Zhang, Tiru Arthanari, Yanping Liu, and T. C. E. Cheng. “Third-party purchase: An empirical study of third-party logistics providers in China.” International Journal of Production Economics171 (2016): 189-200.
Sreejith, R., and S. Senthil. “A novel tree based method for data hiding and integrity in medical images.” In 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), pp. 1-4. IEEE, 2017.
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.
Yazdani, Morteza, Ali Alidoosti, and Edmundas Kazimieras Zavadskas. “Risk analysis of critical infrastructures using fuzzy COPRAS.” Economic research-Ekonomska istraživanja24, no. 4 (2011): 27-40.
Revathy, G., Saleh A. Alghamdi, Sultan M. Alahmari, Saud R. Yonbawi, Anil Kumar, and Mohd Anul Haq. “Sentiment analysis using machine learning: Progress in the machine intelligence for data science.” Sustainable Energy Technologies and Assessments53 (2022): 102557.
Agarwal, Gaurav, Hari Om, and Sachi Gupta. “A learning framework of modified deep recurrent neural network for classification and recognition of voice mood.” International Journal of Adaptive Control and Signal Processing36, no. 8 (2022): 1835-1859.
Kaklauskas, Arturas, Edmundas Kazimieras Zavadskas, Saulius Raslanas, Romualdas Ginevicius, Arunas Komka, and Pranas Malinauskas. “Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case.” Energy and buildings38, no. 5 (2006): 454-462.
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.
Fouladgar, Mohammad Majid, Abdolreza Yazdani-Chamzini, Ali Lashgari, Edmundas Kazimieras Zavadskas, and Zenonas Turskis. “Maintenance strategy selection using AHP and COPRAS under fuzzy environment.” International journal of strategic property management16, no. 1 (2012): 85-104.
Hashemkhani Zolfani, Sarfaraz, and Mohsen Bahrami. “Investment prioritizing in high tech industries based on SWARA-COPRAS approach.” Technological and Economic Development of Economy20, no. 3 (2014): 534-553
Sekar, K. R., Mohd AnulHaq, Anil Kumar, R. Shalini, and S. Poojalaxmi. “An improved ranking methodology for malignant carcinoma in multicriterian decision making using hesitant VIKOR fuzzy.” Theoretical Computer Science929 (2022): 81-94.
Rathi, K., and S. Balamohan. “A mathematical model for subjective evaluation of alternatives in fuzzy multi-criteria group decision making using COPRAS method.” International Journal of Fuzzy Systems19, no. 5 (2017): 1290-1299.
Akojwar, Sudhir G., and Pravin R. Kshirsagar. “Performance evolution of optimization techniques for mathematical benchmark functions.” International Journal of Computers1 (2016).
Garg, Harish, and Rishu Arora. “Algorithms based on COPRAS and aggregation operators with new information measures for possibility intuitionistic fuzzy soft decision-making.” Mathematical Problems in Engineering2020 (2020).
Agarwal, Gaurav, Vikas Maheshkar, Sushila Maheshkar, and Sachi Gupta. “Vocal Mood Recognition: Text Dependent Sequential and Parallel Approach.” In Applications of Artificial Intelligence Techniques in Engineering, pp. 131-142. Springer, Singapore, 2019.
Sreejith, R., and S. Senthil. “Framework for concealing medical data in images using modified Hill cipher, multi-bit EF and ECDSA.” International Journal of Information and Communication Technology19, no. 2 (2021): 168-183.
Nakhaei, Jalal, Shahin Lale Arefi, Mahdi Bitarafan, and Simona Kildienė. “Evaluation of light supply in the public underground safe spaces by using of COPRAS-SWARA methods.” International Journal of Strategic Property Management20, no. 2 (2016): 198-206.
Gupta, Karan, Deepak Kumar Sharma, Koyel Datta Gupta, and Anil Kumar. “A tree classifier based network intrusion detection model for Internet of Medical Things.” Computers and Electrical Engineering102 (2022): 108158.
Khan, Hera, Ayush Srivastav, and Amit Kumar Mishra. “Multiclass Intent Analysis: Beyond the Conventional Polarities.” ECS Transactions107, no. 1 (2022): 7119.
Torabzadeh Khorasani, Sasan. “Green supplier evaluation by using the integrated fuzzy AHP model and fuzzy copras.” Process Integration and Optimization for Sustainability2, no. 1 (2018): 17-25.
Bathrinath, S., S. Venkadesh, S. S. Suprriyan, K. Koppiahraj, and R. K. A. Bhalaji. “A fuzzy COPRAS approach for analysing the factors affecting sustainability in ship ports.” Materials Today: Proceedings50 (2022): 1017-1021.
Kshirsagar, Pravin R., Anil N. Rakhonde, and Pranav Chippalkatti. “MRI image based brain tumor detection using machine learning.” Test Engineering and Management81 (2020): 3672-3680.
Dorfeshan, Yahya, and S. Meysam Mousavi. “A group TOPSIS-COPRAS methodology with Pythagorean fuzzy sets considering weights of experts for project critical path problem.” Journal of Intelligent & Fuzzy Systems36, no. 2 (2019): 1375-1387.
Garg, R., and D. Jain. “Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA.” Decision Science Letters6, no. 4 (2017): 351-364.
Singh, Prabhat Kumar, Gaurav Agarwal, and Sachi Gupta. “A new ranking technique for ranking phase of search engine: Size based ranking algorithm (SBRA).” International Journal of Computer Applications82, no. 5 (2013).
Al-Wesabi, Fahd N., Areej A. Malibari, Anwer Mustafa Hilal, Nadhem NEMRI, Anil Kumar, and Deepak Gupta. “Intelligent ensemble of voting based solid fuel classification model for energy harvesting from agricultural residues.” Sustainable Energy Technologies and Assessments52 (2022): 102040.
Das, Manik Chandra, Bijan Sarkar, and Siddhartha Ray. “A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology.” Socio-Economic Planning Sciences46, no. 3 (2012): 230-241.
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.
Sreejith, R., Vijesh Vijayan, and A. J. Francis. “Design and Implementation of Open Journal System (OJS) for Rajagiri Journals: A Review.” (2019).
Setyono, Ryco Puji, and Riyanarto Sarno. “Comparative method of Moora and CoprAs based on weighting of the best worst method in supplier selection at ABC mining companies in Indonesia.” In 2019 International Conference on Information and Communications Technology (ICOIACT), pp. 354-359. IEEE, 2019.
Mehbodniya, Abolfazl, Julian L. Webber, and Sathishkumar Karupusamy. “Improving the geo-drone-based route for effective communication and connection stability improvement in the emergency area ad-hoc network.” Sustainable Energy Technologies and Assessments53 (2022): 102558.
Zhang, Yan, Yongtao Tan, Nan Li, Guo Liu, and Ting Luo. “Decision-Making in Green Building Investment Based on Integrating AHP and COPRAS-Gray Approach.” In ICCREM 2018: Sustainable Construction and Prefabrication, pp. 65-71. Reston, VA: American Society of Civil Engineers, 2018.
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.
Özçil, Abdullah, İrfan Ertuğrul, Tayfun Öztaş, and Gülin Zeynep Öztaş. “Combi boiler system modeling with fuzzy inference mechanism and fuzzy copras method.” In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-8. IEEE, 2015.
Agarwal, Gaurav, Vikas Maheshkar, Sushila Maheshkar, and Sachi Gupta. “Recognition of emotions of speech and mood of music: a review.” In International Conference on Wireless Intelligent and Distributed Environment for Communication, pp. 181-197. Springer, Cham, 2018.
Rong, Yuan, Qingzhao Li, and Zheng Pei. “A Novel Q-rung Orthopair Fuzzy Multi-attribute Group Decision-making Approach Based on Schweizer-sklar Operations and Improved COPRAS Method.” In Proceedings of the 4th International Conference on Computer Science and Application Engineering, pp. 1-6. 2020.
Siregar, I., I. Rizkya, K. Syahputri, R. M. Sari, F. Ariani, and A. Pintoro. “Priority of Selection Suppliers with Fuzzy ANP COPRAS-G.” In Journal of Physics: Conference Series, vol. 1230, no. 1, p. 012055. IOP Publishing, 2019.
T. Naresh Babu, M. Ramachandran, Sathiyaraj Chinnasamy, Ashwini Murugan, “The Evaluation of Third-party Logistics Services Using Complex Proportional Assessment”, REST Journal on Banking, Accounting and Business, 1(4), (2022):14-22.