Production Planning with The Neutrosophic Fuzzy Multi-Objective Optimization Technique

Authors

  • Şule Bayazit Bedirhanoğlu Department of Business Administration, Faculty of Economics and Administrative Sciences, Bitlis Eren University, Bitlis, Turkey;
  • Mahmut Atlas Department of Business Administration, Faculty of Economics and Administrative Sciences, Anadolu University, Eskişehir, Turkey;

Keywords:

Multi objective programming, Neutrosophic fuzzy set, Multi-objective optimization, Neutrosophic fuzzy multi-objective optimization, Production planning

Abstract

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. 

 

DOI: 10.5281/zenodo.10795635

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Published

2024-03-01

How to Cite

Şule Bayazit Bedirhanoğlu, & Mahmut Atlas. (2024). Production Planning with The Neutrosophic Fuzzy Multi-Objective Optimization Technique. Neutrosophic Sets and Systems, 65, 119-150. https://fs.unm.edu/nss8/index.php/111/article/view/4301