Header menu link for other important links
X
Analytics for Manufacturing DecisionsIn Supply Chain Management
, Komal Shete, Pragati Shinde, Pallavi Tanpure
Published in International Journal for Research in Applied Science & Engineering Technology (IJRASET)
2019
Volume: 7.0
   
Issue: 5.0
Pages: 861.0 - 867.0
Abstract
This paper is a theoretical analysis, opening with the introduction where the background, problem of the research, purpose of the research, objective of the research, expected outcomes, relevance and impact is described. Manufacturing decisions in supply chain management is very crucial for an organization in order to make right decisions regarding manufacturing and inventory management, as the market situation, organization supply chains face today, differs a lot from the situation years ago. This paper presents a forecasting method which is modelled by artificial intelligence approaches using multilayer perceptron neural network and regression techniques. The effectiveness of the proposed approach to the demand forecasting issue is demonstrated using real-world data from a company which is active in industrial product manufacturing in Pune.
About the journal
JournalInternational Journal for Research in Applied Science & Engineering Technology
PublisherInternational Journal for Research in Applied Science & Engineering Technology (IJRASET)
Open AccessYes