S
Shib Sankar Sana
Researcher at Bhangar Mahavidyalaya
Publications - 195
Citations - 6764
Shib Sankar Sana is an academic researcher from Bhangar Mahavidyalaya. The author has contributed to research in topics: Supply chain & Economic order quantity. The author has an hindex of 44, co-authored 176 publications receiving 5462 citations. Previous affiliations of Shib Sankar Sana include University of Calcutta & Swami Vivekanand Subharti University.
Papers
More filters
Journal ArticleDOI
A system dynamics model of financial flow in supply chains: a case study
TL;DR: This research simulates the financial system that enables a more accurate diagnosis of disaggregated metrics “Cash to Cash”, considering different interactions between material flow and the financial flow of the two links, manufacturer and distributor.
Journal ArticleDOI
An inventory model of three-layer supply chain of wood and furniture industry in the Caribbean region of Colombia
TL;DR: In this article, a mathematical model for multi-item inventory system under a collaborative scheme in a three-level supply chain consisting of multiple raw material suppliers, multiple manuf ect.
Journal ArticleDOI
Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
TL;DR: A bi-level optimization model for producer and collection centers to achieve maximum profits of the channel members is proposed and Shapley value of game theory approach is applied for coalition of the members in collaborative system.
Journal ArticleDOI
Accuracy-based learning classification system
TL;DR: Results demonstrate that the proposed genetic approach provides marked improvement in a number of cases and has been compared with UCS (GA-based classification system) and C4.5 (non GA-based rule induction algorithm).
Journal ArticleDOI
An Alternative Fuzzy EOQ Model with Backlogging for Selling Price and Promotional Effort Sensitive Demand
Sujit Kumar De,Shib Sankar Sana +1 more
TL;DR: In this article, a fuzzy optimal and intuitionistic fuzzy optimal policy have been discussed, considering selling price and promotional effort as fuzzy number and fuzzy variable respectively, and a graphical illustration, numerical examples with sensitivity analysis and conclusion are made for justification of the model.