
Performance Evaluation of Indian “Supply Chain Management” for Manufacturing Sector
Author(s) -
Asad Ali
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.34908
Subject(s) - supply chain , leverage (statistics) , business , supply chain management , industrial organization , manufacturing , competition (biology) , scale (ratio) , marketing , computer science , ecology , physics , quantum mechanics , machine learning , biology
In most organizations, financial results have been the key metric of progress. On a weekly, quarterly, and annual basis, the companies have created reporting structures and financial statements to measure their “supply chain” success. Companies, on the other hand, have struggled to establish successful real-time “supply chain” output analysis and processes. Companies today are working in an ever-changing and volatile world while still competing against global competition. As a result, the principle of “supply chain” management (SCM) has assumed strategic significance. So far, research has shown that many modern businesses have struggled to maximize their “supply chain’s capacity because they have often failed to develop the success metrics required to properly leverage their “supply chain”. Manufacturing companies in India are no exception. The authors of this paper want to suggest whether or not a specific solution is appropriate in the case of Indian manufacturing companies. All required factors influencing a company's “supply chain” success have been incorporated, and the suitability of “supply chain” measurement methods, especially for manufacturing organisations, has been suggested. A scale for “supply chain” efficiency methods was established using data obtained from 100 manufacturing organizations throughout India. The research findings are supposed to have important consequences for Indian manufacturing companies in terms of understanding the factors that contribute to effective SCM operations.