Open AccessResearch on Manufacturer Supply Model Based on Analytic Hierarchy Process
Author(s) -
Xinkai Wang,
Bowen Pang,
Yaoyi Wang
Publication year - 2021
Publication title -
xue xi yu jiao yu
Language(s) - English
Resource type - Journals
ISSN - 2251-2802
DOI - 10.18282/l-e.v10i3.2394
Subject(s) - analytic hierarchy process , selection (genetic algorithm) , linear programming , mathematical optimization , operations research , process (computing) , computer science , set (abstract data type) , variance (accounting) , order (exchange) , multivariate statistics , hierarchy , production (economics) , industrial engineering , mathematics , engineering , economics , microeconomics , artificial intelligence , machine learning , market economy , accounting , finance , programming language , operating system
This paper studies the optimal solution model of manufacturer based on multivariate linear programming and analytic hierarchy process.Firstly,based on visual processing,the evaluation indexes are determined as supply quantity,full rate,stable rate and order times.Reasonably set the weight,evaluate 402suppliers and determine the 50 most important suppliers for the enterprise.Then,using the linear programming optimization method,the optimal solution of supplier selection without transportation loss is obtained.Finally,taking the full rate,loss variance and acceptance rate as the evaluation indexes,the transportation company with the lowest transportation loss is determined.Finally,the most economical material quantity actually needed by the production enterprise is calculated,and the supplier selection andtransportation company selection under the condition of loss are given.