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Time and space multi-manned assembly line balancing problem using genetic algorithm

Zamzam, Nessren; Elakkad, Ahmed - In: Journal of industrial engineering and management : JIEM 14 (2021) 4, pp. 733-749

Purpose: Time and Space assembly line balancing problem (TSALBP) is the problem of balancing the line taking the area required by the task and to store the tools into consideration. This area is important to be considered to minimize unplanned traveling distance by the workers and consequently...

Persistent link: https://www.econbiz.de/10012814907

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra, Bhupesh Kumar; Dahal, Keshav; Pervez, Zeeshan; … - In: Decision analytics journal 5 (2022), pp. 1-10

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model is essential to generate relief items distribution schedules to...

Persistent link: https://www.econbiz.de/10014336753

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Liu, Feng; Fang, Kan; Tang, Jiafu; Yin, Yong - In: Journal of management science and engineering 7 (2022) 1, pp. 48-66

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the … particular, the rotating seru has been widely implemented, where workers are fully cross-trained with the same skill level but … may be different on the proficiency of performing tasks. The rotating seru production problem, which determines the …

Persistent link: https://www.econbiz.de/10013207391

Multi-objective portfolio optimization : an application of the Non-dominated Sorting Genetic Algorithm III

Muteba Mwamba, John; Mbucici, Leon Mishindo; Mba, Jules … - 2025

This study evaluates the effectiveness of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) in comparison to the traditional Mean-Variance optimization method for financial portfolio management. Leveraging a dataset of global financial assets, we applied both approaches to optimize...

Persistent link: https://www.econbiz.de/10015338358

Optimization of subsurface models with multiple criteria using Lexicase Selection

He, Yifan; Aranha, Claus; Hallam, Antony; Chassagne, Romain - In: Operations research perspectives 9 (2022), pp. 1-10

Seismic History Matching (SHM) is a key problem in the geosciences community, requiring optimal parameters of a subsurface model that match the observed data from multiple in-situ measurements. Therefore, the SHM problems are usually solved with Multi-Objective Evolutionary Algorithms (MOEAs)....

Persistent link: https://www.econbiz.de/10014245478

New matrix methodology for algorithmic transparency in assembly line balancing using a genetic algorithm

Anel, Juan Ignacio; Català, Pau; Serra, Moisès; … - In: Operations research perspectives 9 (2022), pp. 1-14

This article focuses on the Mixed-Model Assembly Line Balancing single-target problem of type 2 with single-sided linear assembly line configurations, which is common in the industrial environment of small and medium-sized enterprises (SMEs). The main objective is to achieve Algorithmic...

Persistent link: https://www.econbiz.de/10012880408

Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry

Sadeghi, Parisa; Diogo Rebelo, Rui; Soeiro Ferreira, José - In: Operations research perspectives 8 (2021), pp. 1-19

This paper addresses a new Mixed-model Assembly Line Sequencing Problem in the Footwear industry. This problem emerges in a large company, which benefits from advanced automated stitching systems. However, these systems need to be managed and optimised. Operators with varied abilities operate...

Persistent link: https://www.econbiz.de/10012596628

Multi-objective thermo-economic optimization of biomass retrofit for an existing solar organic Rankine cycle power plant based on NSGA-II

Oyekale, Joseph; Petrollese, Mario; Cau, Giorgio - In: Energy reports 6 (2020) 3, pp. 136-145

Non-dominated sorting genetic algorithm (NSGA-II) was deployed in this paper for multi-objective thermo-economic optimization of biomass retrofit for an existing solar organic Rankine cycle (ORC) power plant. The existing plant consists of a field of linear Fresnel collectors (LFC), integrated...

Persistent link: https://www.econbiz.de/10012182981

A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems

Afrasyabi, Parastoo; Mesgari, Mohammad Saadi; … - In: Decision analytics journal 9 (2023), pp. 1-17

Passengers must use a set of modes and vehicles to reach their destination in complicated urban structures. Choosing an optimal route is a complicated optimization problem for these passengers. This study proposes a multi-objective optimization algorithm to solve the routing problem in the urban...

Persistent link: https://www.econbiz.de/10014533324

Credit portfolio optimization : a multi-objective genetic algorithm approach

Wang, Zhi; Zhang, Xuan; Zhang, Zhekai; Sheng, Dachen - In: Borsa Istanbul Review 22 (2022) 1, pp. 69-76

The algorithm for optimization of a credit portfolio has not been fully demonstrated. This paper fills the gap in the literature by presenting a general approach for optimizing a credit portfolio by minimizing the default risk of the entire portfolio. Default risk is measured with quadratic...

Persistent link: https://www.econbiz.de/10012817974