Production Planning with The Neutrosophic Fuzzy Multi-Objective Optimization Technique

被引:0
作者
Bedirhanoğlu Ş.B. [1 ]
Atlas M. [2 ]
机构
[1] Department of Business Administration, Faculty of Economics and Administrative Sciences, Bitlis Eren University, Bitlis
[2] Department of Business Administration, Faculty of Economics and Administrative Sciences, Anadolu University, Eskişehir
关键词
Multi objective programming; Multi-objective optimization; Neutrosophic fuzzy multi-objective optimization; Neutrosophic fuzzy set; Production planning;
D O I
10.5281/zenodo.10795635
中图分类号
学科分类号
摘要
Businesses want to realize their production at the desired time and quality. In addition, businesses aim to use their existing resources efficiently and increase their earnings. The realization of more than one purpose is achieved by multi-purpose planning of production. This study considered the multi-objective production planning of a company that manufactures spare parts for household appliances. The management of the company wants to minimize its cost, cycle time, defective rates, and material wastage while maximizing its profits in the process of producing all 121 different products. This study presents a solution for this multi-item multi-objective production problem using the intuitionistic fuzzy and neutrosophic fuzzy multi-objective optimization models. The study gives a step-by-step explanation of the methods used to achieve the solution and a comparison detailing the problems of the business and the solutions obtained. The results show that the neutrosophic fuzzy multi-objective optimization model, which is capable of independently handling uncertainty, produces better results than the intuitionistic fuzzy multi-objective optimization model. © (2023), (University of New Mexico). All Rights Reserved.
引用
收藏
页码:119 / 150
页数:31
相关论文
共 50 条
[41]   Multi-objective optimization problems with fuzzy relation equation constraints [J].
Loetamonphong, H ;
Fang, SC ;
Young, RE .
FUZZY SETS AND SYSTEMS, 2002, 127 (02) :141-164
[42]   A generic fuzzy approach for multi-objective optimization under uncertainty [J].
Bahri, Oumayma ;
Talbi, El-Ghazali ;
Ben Amor, Nahla .
SWARM AND EVOLUTIONARY COMPUTATION, 2018, 40 :166-183
[43]   Multi-Objective Regression Test Suite Optimization with Fuzzy Logic [J].
Anwar, Zeeshan ;
Ahsan, Ali .
2013 16TH INTERNATIONAL MULTI TOPIC CONFERENCE (INMIC), 2013, :95-100
[44]   Eyelid Detection Method Based on a Fuzzy Multi-Objective Optimization [J].
Alvarez-Betancourt, Yuniol ;
Garcia-Silvente, Miguel .
COMPUTACION Y SISTEMAS, 2014, 18 (01) :65-78
[45]   Multi-objective optimization for integrated sugarcane cultivation and harvesting planning [J].
Aliano Filho, Angelo ;
Oliveira, Washington A. ;
Melo, Teresa .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 309 (01) :330-344
[46]   Wireless Mesh Network Planning: A Multi-objective Optimization Approach [J].
Benyamina, Djohara ;
Hafid, Abdelhakim ;
Gendreau, Michel .
2008 5TH INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS AND SYSTEMS (BROADNETS 2008), 2008, :602-+
[47]   Applying multi-objective optimization for effective network expansion planning [J].
Hirata, Yosuke ;
Aoki, Hidenori .
IEEJ Transactions on Power and Energy, 2012, 132 (11) :894-902
[48]   A new algorithm for probabilistic planning based on multi-objective optimization [J].
Gu, Wen-Xiang ;
Liu, Xiao-Fei .
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, :1812-1817
[50]   Hydrogen infrastructure strategic planning using multi-objective optimization [J].
Hugo, A ;
Rutter, P ;
Pistikopoulos, S ;
Amorelli, A ;
Zoia, G .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2005, 30 (15) :1523-1534