A hybrid nested partitions and simulated annealing algorithm for dynamic facility layout problem: a robust optimization approach

Khajemahalle, Leila; Emami, Saeed; Keshteli, Ramezan Nemati

doi:10.1080/03155986.2020.1788328

Cited by 4 publications

(3 citation statements)

References 52 publications

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“…Metaheuristic algorithms include genetic algorithms (GAs), tabu search, simulated annealing, ant colony optimization [8], and particle swarm optimization [9]. In a recent study, Turanoglu et al [10] proposed a new hybrid algorithm based on bacterial foraging optimization (BFO), and Khajemahalle et al [11] proposed a hybrid algorithm based on a nested partition and a simulated annealing algorithm. Tayal et al [12] proposed a novel integrated framework to solve multi-objective random dynamic facility layout problems by combining extensive data analysis and hybrid metaheuristic.…”

Section: Related Studiesmentioning

confidence: 99%

“…Theoretically, under the constraint of inequality (11), the results obtained by the equation can meet the capacity requirements. However, the production capacity obtained by the simulation with disturbance is smaller than the theoretical value.…”

mentioning

confidence: 99%

“…The number of various production lines in the workshop should be designed to meet the specific demands of customers for production capacity. It can be expressed as Equation (11), where PC T is the target production capacity of the workshop.…”

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confidence: 99%

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Digital Twins-Based Production Line Design and Simulation Optimization of Large-Scale Mobile Phone Assembly Workshop

Zhao

Zou

et al. 2022

Machines

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The mobile phone is a typical 3C electronic product characterized by frequent replacement, multiple product specifications, high flexibility, high-frequency production line switching, and urgent delivery time during production. Therefore, the optimized design of the mobile phone production workshop is crucial. This paper takes the assembly process of a specific type of mobile phone assembly as the research object and adopts the heuristic balance method to combine the production procedures. Moreover, it considers the automation degree of the process and the demand for production line rhythm to carry out station division and working hours design for the assembly process. The advantages and disadvantages of the plug-and-play production line and unit production line architecture are integrated, aiming at the production line’s construction cost and unit area capacity. A hybrid workshop with a mixed combination of two types of production lines is designed and an optimization model of hybrid workshop design is established. The semi-physical simulation technology of digital twins is utilized to verify the proposed design scheme to achieve the balance optimization of the production line, improve production efficiency, and reduce production costs. This work provides a technical scheme for designing and optimizing large-scale mobile phone assembly workshops with multi-batch and high-frequency production changes.

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