An integrated synthetic value of fuzzy judgments and nonlinear programming methodology for ranking the facility layout patterns

被引：20

作者：

Mohamadghasemi, A. ^{[2
]}

Hadi-Vencheh, A. ^{[1
]}

机构：

[1] Islamic Azad Univ, Khorasgan Branch, Dept Math, Esfahan, Iran

[2] Islamic Azad Univ, Zabol Branch, Dept Ind Engn, Zabol, Iran

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2012年 / 62卷 / 01期

关键词：

Facility layout design problem; Synthetic value of fuzzy judgments; Nonlinear programming; ANALYTIC HIERARCHY; DESIGN; ALGORITHM; OPTIMIZATION; SIMULATION; MODEL;

D O I：

10.1016/j.cie.2011.10.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, the goal is to incorporate qualitative criteria in addition to quantitative criteria to facility layout design (FLD) problem. To this end, we present an integrated methodology based on the synthetic value of fuzzy judgments and nonlinear programming (SVFJ-NLP). The facility layout patterns (FLPs) together with their performance measures of total cost of material handling are generated by a computer-aided layout-design tool, CRAFT. Also, the performance measures of second quantitative criterion (construction cost of width walls) are calculated by appraising these FLPs. The SVFJ is then applied to collect the performance measures related to qualitative criteria and finally, a non-linear programming (NLP) model is proposed to solve the FLD. Results obtained from a real case study validate the effectiveness of the proposed model. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：342 / 348

页数：7

共 38 条

[1] Layout map in facility layout planning: A fuzzy methodology
Ahamed, Mir Kaosar
Babu, Md Ashraful
Babu, Md Shohel
Hossain, Md Babul
Thakar, Chetan M.
[J]. MATERIALS TODAY-PROCEEDINGS, 2022, 51 : 621 - 627
[2] An integrated AHP-NLP methodology for facility layout design
Hadi-Vencheh, A.
Mohamadghasemi, A.
[J]. JOURNAL OF MANUFACTURING SYSTEMS, 2013, 32 (01) : 40 - 45
[3] An Integrated AHP-VIKOR Methodology for Facility Layout Design
Shokri, Hamidreza
Ashjari, Behzad
Saberi, Morteza
Yoon, Jin Hee
[J]. INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2013, 12 (04): : 389 - 405
[4] Implementation of fuzzy TOPSIS methodology in selection of procedural approach for facility layout planning
Parveen Sharma
Sandeep Singhal
[J]. The International Journal of Advanced Manufacturing Technology, 2017, 88 : 1485 - 1493
[5] Implementation of fuzzy TOPSIS methodology in selection of procedural approach for facility layout planning
Sharma, Parveen
Singhal, Sandeep
[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 88 (5-8): : 1485 - 1493
[6] Fuzzy nonlinear programming approach for evaluating and ranking process yields with imprecise data
Wu, Chien-Wei
Liao, Mou-Yuan
[J]. FUZZY SETS AND SYSTEMS, 2014, 246 : 142 - 155
[7] AN INTEGRATED METHODOLOGY COMBINING FUZZY GOAL PROGRAMMING AND FUZZY AHP: CASE OF ELT IN TURKEY
Kop, Yesim
Genevois, Mujde Erol
Ulukan, Hakki Ziya
[J]. UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 213 - 218
[8] Choosing the best facility layout using the combinatorial method of Gray relation analysis and nonlinear programming
Abdollahi, Parvin
Aslam, Muhammad
Yazdi, Ahmad Ahmadi
[J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2019, 22 (06): : 1143 - 1161
[9] An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem
Jamalnia, Aboozar
Mahdiraji, Hannan Amoozad
Sadeghi, Mohammad Reza
Hajiagha, Seyed Hossein Razavi
Feili, Ardalan
[J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2014, 13 (02) : 263 - 290
[10] An application of fuzzy AHP/DEA methodology for the facility layout design in the presence of both quantitative and qualitative data
Tuzkaya, UR
Ertay, T
[J]. APPLIED COMPUTATIONAL INTELLIGENCE, 2004, : 507 - 512

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