Publication Type : Conference Proceedings
Publisher : Global Congress on Manufacturing Management (GCMM-2014)
Source : Global Congress on Manufacturing Management (GCMM-2014), VIT university, Vellore, Tamilnadu,(Procedia Engineering, Elsevier), Volume 97 (2014)
Url : https://pdf.sciencedirectassets.com/278653/1-s2.0-S1877705814X00354/1-s2.0-S1877705814035401/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMX%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIAn2k%2Fxlfz1c5Zai2zB3XQ853GHrXIdB3RKHBFcHO0qAAiA74ogHhMMH%2
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2014
Abstract : In today's scenario, supply chain processes have been greatly influencing businesses and trades globally. Customer needs are sought to be met reducing lead times thereby leading to enhanced delivery with quality standards and reasonable prices kept in mind. Demands from the customers may vary from time to time. Considering the historical as well as interpreted data and analyzing all factors involved, firms/organizations can forecast what the trade scenario in the future. This helps any organization in systemizing their products/services, managing inventories, warehousing arrangements. All this leads to positive growth for both suppliers and buyers in the long run. Supply chain management (SCM) has been the dominant research paradigm of the last few decades. Considerable efforts have been put forth in developing decision models for solving supply chain related problems.
Cite this Research Publication : J. Venugopalan, Sarath, V. S., Pillai, R., Krishnan, S., and Dr. Anbuudayasankar S. P., “Analysis of Decision Models in Supply Chain Management”, Global Congress on Manufacturing Management (GCMM-2014), VIT university, Vellore, Tamilnadu,(Procedia Engineering, Elsevier), vol. 97. 2014.