The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders | Zendy

Kaj-Mikael Björk | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders

Author(s) -

Kaj-Mikael Björk

Publication year - 2012

Publication title -

applied computational intelligence and soft computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.371

H-Index - 10

eISSN - 1687-9732

pISSN - 1687-9724

DOI - 10.1155/2012/876230

Subject(s) - economic order quantity , economic production quantity , production (economics) , computer science , fuzzy logic , order (exchange) , context (archaeology) , mathematical optimization , process (computing) , operations research , economics , mathematics , microeconomics , artificial intelligence , business , paleontology , supply chain , finance , marketing , biology , operating system

The track of developing Economic Order Quantity (EOQ) models with uncertainties described as fuzzy numbers has been very lucrative. In this paper, a fuzzy Economic Production Quantity (EPQ) model is developed to address a specific problem in a theoretical setting. Not only is the production time finite, but also backorders are allowed. The uncertainties, in the industrial context, come from the fact that the production availability is uncertain as well as the demand. These uncertainties will be handled with fuzzy numbers and the analytical solution to the optimization problem will be obtained. A theoretical example from the process industry is also given to illustrate the new model

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research