Modeling and solving assembly line design problems by considering human factors with a real‐life application

Baykasoğlu, Adil; Taşan, Seren Özmehmet; Taşan, A. Serdar; Akyol, Şebnem Demirkol

doi:10.1002/hfm.20695

Cited by 49 publications

(22 citation statements)

References 42 publications

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“…The model can represent substantial phenomena of various types (continuous and discrete). Baykasoglu, Tasan, Tasan, and Akyol () propose a systematic approach for handling assembly system design while considering ergonomic risk factors. This approach considers interrelations between technological variables, such as workers’ physical attributes and ergonomics evaluations.…”

Section: Introductionsupporting

confidence: 65%

Human factors’ complexity measurement of human‐based station of assembly line

Fan

Zhao

et al. 2018

Hum Ftrs & Erg Mfg Svc

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Cognitive heterogeneity causes operation time variability and high human error rates at humanbased stations of assembly lines. It will affect the performance of the production activities, the design process of which depends on reliable estimate of operation time. To quantify operator cognition, we measured the human factors' complexity of human-based stations using an information entropy approach in aspect of operation time. Initially, the influence of the operators' cognition on the operation time is analyzed. Based on the analysis, the operation time model that considers cognition is presented. Then, the operation time model is modified by applying a correction method using the behavior correction factor, and, finally, the human factors' complexity measurement model is built. A case study is used to illustrate the application of the proposed method in order to measure the influence of human cognition on the performance of the human-based station. K E Y W O R D Sassembly line, complexity measurement, human cognition, human factors, human-based station

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Section: Introductionsupporting

confidence: 65%

Human factors’ complexity measurement of human‐based station of assembly line

Fan

Zhao

et al. 2018

Hum Ftrs & Erg Mfg Svc

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“…There are some studies which focus on ergonomic issues in arranging manufacturing operations in the literature. In previous studies on this topic, some researchers have taken into account repetitive actions in assembly‐line balancing by employing the Occupational Repetitive Actions index (Baykasoglu et al, 2017; Moussavi et al, 2016; Sana et al, 2019), whereas others considered the working position in assigning workers to jobs by adopting rapid upper limb assessment (RULA) or rapid entire body assessment (REBA) (Digiesi et al, 2018; Yoon et al, 2016). To the best of our knowledge, there is no published paper that integrates HAV into job rotation schedules in manufacturing companies.…”

Section: Literature Reviewmentioning

confidence: 99%

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

Adem

Dağdeviren

2020

Hum Ftrs & Erg Mfg Svc

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Job rotation schedules are generally conducted without considering hand–arm vibration (HAV) exposure especially in manufacturing firms, such as heavy industry, which confront ergonomic risks easily. This does not create any occupational health and safety (OHS) issues in the short term; however, certain occupational diseases such as the white finger disease are inevitable in the long‐term. This paper investigates how the risks of developing HAV‐related occupational diseases can be minimized by producing optimal job rotation schedules using ergonomic mathematical models. In the proposed models, both ergonomic and traditional aspects of manufacturing environments are considered. Moreover, the skill level and workers' day off preferences are also considered for total system efficiency. The mixed‐integer programming approach is used to formulate the models. The applicability of the models is tested using real‐world data. It is seen that the total assignment cost of the models increases when the ergonomic aims are included in the models. Thus, there is a conflicting relationship between economic and ergonomic aims. The main findings of the models show that the employees' HAV exposure level can be kept under control with one simple constraint. By employing these models, employees and employers can be protected in terms of not only OHS but also economic issues.

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“…Disassembly, as an important stage after recycling and before reuse, plays an important role in the process from waste to available resources [3]. When dealing with a large number of product disassemblies, the paced disassembly line has a great advantage of efficiency compared with the fixed disassembly position layout [4]. How to assign disassembly tasks to reasonable stations in proper order under given constraints, and achieve the expected objectives, such as reducing the cycle time of disassembly line and improve the efficiency of comprehensive disassembly, is called the disassembly line balancing problem [5,6].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Optimization of Two-Sided Disassembly Line Balance Considering Parallel Operation and Uncertain Using Multiobjective Flatworm Algorithm

et al. 2021

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The two-sided disassembly line is popular for its high-efficiency disassembly of large-volume end-of-life products. However, in the process of two-sided disassembly, some parts and components need to be disassembled in parallel, and the uncertainty of disassembly time lacks certain research. This paper constructs a fuzzy multiobjective two-sided disassembly line balance problem model based on parallel operation constraint, which aims to reduce the balance loss rate, smoothness index, and energy consumption of disassembly activities. A multiobjective flatworm algorithm based on the Pareto-dominance relationship is developed. To increase the diversity of feasible solutions in the evolution process and accelerate the convergence of Pareto-optimal solutions to prevent the random search of solution space, growth, splitting and regeneration mechanisms are embedded in the algorithm. The working mechanism and efficiency of the multiobjective flatworm algorithm are proved on a series of two-sided disassembly cases, and the excellent performance of the proposed model and algorithm are demonstrated by an actual automobile two-sided disassembly line.

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Modeling and solving assembly line design problems by considering human factors with a real‐life application

Cited by 49 publications

References 42 publications

Human factors’ complexity measurement of human‐based station of assembly line

Human factors’ complexity measurement of human‐based station of assembly line

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

Energy-Efficient Optimization of Two-Sided Disassembly Line Balance Considering Parallel Operation and Uncertain Using Multiobjective Flatworm Algorithm

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