Inventory lot-sizing with supplier selection
Computers and Operations Research
Supplier selection and order lot sizing modeling: A review
Computers and Operations Research
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Multi-strategy supplier selection for commodity sourcing
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
A weighted additive fuzzy programming approach for multi-criteria supplier selection
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
Pig procurement plan considering pig growth and size distribution
Computers and Industrial Engineering
Hi-index | 0.01 |
In this paper, an integration of Analytic Network Process (ANP) and achievement scalarizing functions is proposed to choose the best suppliers and define the optimum quantities among the selected suppliers by considering tangible-intangible criteria and time horizon. To reflect the decision maker's (DM's) preferences more accurate, an additive achievement function is defined consist of several components. In this additive function while unwanted deviations from periodic budget and aggregate quality goals are balanced by Minmax Goal Programming (MGP), and unwanted deviations from total cost, total value of purchasing (TVP) and aggregate quality are minimized by Achimedean Goal Programming (AGP) to provide more acceptable solutions. This multi-period model enables us to reflect DM's preferences more flexible than the other traditional models that use only one type of achievement function. The sensitivity analysis was also performed for different levels of periodic demands. It is also possible to enlarge the sensitivity analyses for other parameters such as different levels of capacity, and different weights of components.