The Problem Solving of Bi-objective Hybrid Production with the Possibility of Production Outsourcing through Imperialist Algorithm, NSGA-II, GAPSO Hybrid Algorithms
Zahra Hoseinpour, Mohammad Taghipour, Jafar Hassan Beigi, Maryam Mahboobi
Source record
Source: Crossref
Published: Oct 1, 2021
DOI: 10.61841/turcomat.v12i13.11182
Open original source ↗Source abstract
Today, it is important to identify products that must be produced and also the amount of production of each product and the compliance with existing resources. Such a problem is often called the “hybrid production”. In addition, today, the advanced industrial units do not focus only on the production of a product and try as much as possible to meet a significant share of their customers’ needs. Today, since the number and type of customers’ needs are constantly changing, an industrial unit with all of its many developments will fail in producing a huge range of products. Outsourcing is a good strategy for such units so that it monitors the highest quality products while maintaining their customers. Methods: It is clear that problem solving is more complex when the number of sources and products increases in the area of hybrid products, and using modern innovative and meta-heuristic methods is inevitable to solve such problems. A mathematical model has been presented for the problem of hybrid production considering the outsourcing and two algorithms of Imperialist competitive algorithm; NSGA-ΙΙ and hybrid algorithm; GA and PSO have resolved the problem in this study. The results indicated that the convergence of Imperialist competitive algorithm to the final value was excellent and had less fluctuation in the answers. Implications: However, the convergence rate is lower unlike NSGA-ΙΙ and GAPSO procedures.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.