Publicity and preservation impact on multiple supply chain network design (MSCND): a literature review

Kailash Chandra Nayak, Jibendu Kumar Mantri, Monalisha Pattnaik

Abstract


Success of Multiple Supply Chain Supply Network Design depends upon how its factors are systematically analyzed and the best possible ideas are placed in the design for Profit Maximization. Basically we discuss about few general factors like deterioration, multi-level and multi-items for design of Supply Chain Network but the hidden factor are always count for success of design like publicity of Products, Transportation, Preservation Technology and its awareness etc. used by the concerned organization in the Network Model. The layers of supply chain involves variety of people but efficiency to be maintained at every level for easy reachable of products to its customers and generating profits. If profit to be analyzed, it is not to be consider at a particular level rather every level’s profit margin to be calculated for analysis to design an optimized supply chain network. A network design can be successful whenever customers are not only able to get their products at right time, affordable price, easy available of products at the door steps but also to be focused on how to reduce deterioration, increase demand for a particular products, enhance publicity, effective preservation strategy, less movement of goods etc. for gaining profits. The review analyzed various authors paper published between the years 2010 to 2020 and conclude a summary how best practices to be maintained in product publicity and preservation level, so as to get an optimized Supply Chain for Industrial use.

Full Text: PDF

Published: 2021-05-03

How to Cite this Article:

Kailash Chandra Nayak, Jibendu Kumar Mantri, Monalisha Pattnaik, Publicity and preservation impact on multiple supply chain network design (MSCND): a literature review, J. Math. Comput. Sci., 11 (2021), 3244-3262

Copyright © 2021 Kailash Chandra Nayak, Jibendu Kumar Mantri, Monalisha Pattnaik. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

Copyright ©2024 JMCS