Abstract

The classical (crisp) inventory control model with reliability influence demand and partially backlogged items is to be considered. The primary motive of efficient inventory management is to provide a suitable customer service thereby keeping a low inventory cost for the model. The cost factor is to consider a fuzzy random variable. Here the ordering cost and reliability of the production process are the decision variables. Thus the aim of this paper is to minimise the cost of the inventory system. This model has been developed for both crisp and fuzzy systems. Due to fuzzy parameters, the model becomes a fuzzy quantity and it is fuzzily by sign distance method. The facts used in this research work have been exemplified by the use of an appropriate numerical example.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.