A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system

被引：22

作者：

Sadeghian, Ramin ^{[1
]}

Sadeghian, Mohammad Reza ^{[1
]}

机构：

[1] Payame Noor Univ, Dept Ind Engn, POB 19395-3697, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2016年 / 82卷 / 9-12期

关键词：

Flexible manufacturing system (FMS); Fuzzy network analysis process (FANP); Artificial neural network (ANN); Decision support system (DSS); GOAL-PROGRAMMING-MODEL; OPERATION ALLOCATION PROBLEM; AHP; EQUIPMENT; FMS;

D O I：

10.1007/s00170-015-7440-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The current article introduces a solution to provide a decision support system (DSS) by combining artificial neural network (ANN) and fuzzy analytic network process (FANP) in order to select the flexible manufacturing system (FMS). In this context, a case study in factory of Tashgaz Company, specialists and MATLAB software are used. Given that today's manufacturing systems are moving toward FMSs, and most of the similar pieces of research have used flexible manufacturing cells and AHP in definite mode, fuzzy numbers were used to compare criteria such as manufacturing rate, manufacturing accuracy, energy consumption, etc. for selecting manufacturing system, and a three-layered ANN was also used to create an expansion motor, and then, FANP was used for systemic selection instead of cell selection. And, the proposed model was implemented in a case study to explain more.

引用

页码：1795 / 1803

页数：9

共 50 条

[31] An Estimation of the Suspended Sediment Load Using Adaptive Network Based Fuzzy Inference System, Support Vector Machine and Artificial Neural Network Models
Buyukyildiz, Meral
Kumcu, Serife Yurdagul
[J]. WATER RESOURCES MANAGEMENT, 2017, 31 (04) : 1343 - 1359
[32] A decision support system for material and manufacturing process selection
Ronald E. Giachetti
[J]. Journal of Intelligent Manufacturing, 1998, 9 : 265 - 276
[33] A decision support system for material and manufacturing process selection
Giachetti, RE
[J]. JOURNAL OF INTELLIGENT MANUFACTURING, 1998, 9 (03) : 265 - 276
[34] Decision support banking system based on neural network technologies
Lesna, N
Repka, V
Shatovska, T
Koryak, A
[J]. MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE, PROCEEDINGS, 2004, : 366 - 367
[35] Neural network based decision support system for diagnosis of esophagitis
Saraf, Santosh S.
Udupi, G. R.
Hajare, Santosh D.
[J]. ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS, 2007, : 320 - +
[36] Research of decision support system based on BP neural network
Zhou Jing
Yu Tianbiao
Liu Zixu
Liang Shuang
Wang Jianrong
Wang Wanshan
[J]. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A AND B: BUILDING CORE COMPETENCIES THROUGH IE&EM, 2007, : 201 - 205
[37] Designing a group decision support system under uncertainty using group Fuzzy analytic network process (ANP)
Yang, Wei Zhong
Ge, Yu Hui
He, Jian Jia
Liu, Bin
[J]. AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2010, 4 (12): : 2571 - 2585
[38] Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies
Srihari Jaganathan
Jinson J. Erinjeri
Jun-ing Ker
[J]. The International Journal of Advanced Manufacturing Technology, 2007, 32 : 1253 - 1262
[39] Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies
Jaganathan, Srihari
Erinjeri, Jinson J.
Ker, Jun-ing
[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2007, 32 (11-12): : 1253 - 1262
[40] A system based on an artificial neural network of the second generation for decision support in especially significant situations
Palchevsky, Evgeny
Antonov, Vyacheslav
Enikeev, Rustem
Breikin, Tim
[J]. JOURNAL OF HYDROLOGY, 2023, 616

← 1 2 3 4 5 →