An unmanaged supply chain is not inherently stable. The bullwhip effect occurs when the demand order variability’s in the supply chain are amplified as they moved up the supply chain. Distorted information from one end of a supply chain to the other can lead to tremendous inefficiencies. In this paper it is shown that if the members of the supply chain share information with intelligent support technology, and agree on better and better soft computing technique on future sales for the upcoming period, then the bullwhip effect can be significantly reduced. This paper emphasizes on fuzzy logic technique and discusses its effect on reducing bullwhip effect. It is shown that with the application of the fuzzy logic, the multi-objective problems converted to a single one, which can be easily solved with the proposed methodology. It is also shown that linguistic values can be determined to assess vendors’ characteristics, in order to address, in an accurate way.
Mishra, Priyadarshini; Mohanty, Priti Ranjan; and Satapathy, Shashank Mouli
"A Soft Computing Platform for Minimizing The Bullwhip Effect,"
International Journal of Computer and Communication Technology: Vol. 4
, Article 10.
Available at: https://www.interscience.in/ijcct/vol4/iss4/10