Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Predictive Analysis Study on the Manpower Requirements in Production


Affiliations
1 Assistant Professor, Sandip University, Nashik, Maharashtra, India
2 Associate Professor, Sandip University, Nashik, Maharashtra, India
     

   Subscribe/Renew Journal


The administration of the movement of goods and services is known as supply chain management, and it encompasses all processes that transform raw materials into finished products. Predictive analytics is the application of knowledge, statistical methods, and machine learning approaches to predict future outcomes based on historical data. The primary goal of this article is to analyse present human resources, anticipate future requirements and availability, and make efforts to guarantee that the supply of people and skills matches demand.

Keywords

Linear regression, Predictive analysis, Production, SCM, Skill manpower.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Z. You, Y.-W. Si, D. Zhang, X. Zeng, S. C. H. Leung, and T. Li, “A decision-making framework for precision marketing,” Expert Syst Appl., vol. 42, no. 7, pp. 3357-3367, 2015.
  • L. X. Lu, and J. M. Swaminathan, “Supply chain management,” Int Encycl Soc Behav Sci., 2015.
  • B. M. Tosarkani, and S. H. Amin, “A possibilistic solution to configure a battery closed-loop supply chain: Multi-objective approach,” Expert Syst Appl., vol. 92, pp. 12-26, 2018.
  • M. Awwad, P. Kulkarni, R. Bapna, and A. Marathe, “Big data analytics in supply chain: A literature review,” Proceedings of the International Conference on Industrial Engineering and Operations Management, Sep. 2018, pp. 418-425.
  • Y. Pang, B. Yao, X. Zhou, Y. Zhang, Y. Xu, and Z. Tan, “Hierarchical electricity time series forecasting for integrating consumption patterns analysis and aggregation consistency,” IJCAI International Joint Conference on Artificial Intelligence, 2018, pp. 3506-3512.

Abstract Views: 181

PDF Views: 0




  • A Predictive Analysis Study on the Manpower Requirements in Production

Abstract Views: 181  |  PDF Views: 0

Authors

Ganesh S. Chavan
Assistant Professor, Sandip University, Nashik, Maharashtra, India
Sachin Mahale
Associate Professor, Sandip University, Nashik, Maharashtra, India

Abstract


The administration of the movement of goods and services is known as supply chain management, and it encompasses all processes that transform raw materials into finished products. Predictive analytics is the application of knowledge, statistical methods, and machine learning approaches to predict future outcomes based on historical data. The primary goal of this article is to analyse present human resources, anticipate future requirements and availability, and make efforts to guarantee that the supply of people and skills matches demand.

Keywords


Linear regression, Predictive analysis, Production, SCM, Skill manpower.

References