Work process improvement through simulation optimization of task assignment and mental workload

Kandemir, Cansu; Handley, Holly A. H.

doi:10.1007/s10588-018-9275-7

Cited by 10 publications

(7 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, equal task assignment maintains the same workload among operators, reducing the cycle and idle times which ultimately increases the overall throughput. The present study is in complete agreement with the report of Kandemir & Handley [55] who reiterated that equal task assignment had higher production throughput and efficiency due to equal workload of the operators and minimization of workstation idle time.…”

Section: Plos Onesupporting

confidence: 92%

Simulation metamodeling approach to complex design of garment assembly lines

et al. 2020

View full text Add to dashboard Cite

The today's competitive advantage of ready-made garment industry depends on the ability to improve the efficiency and effectiveness of resource utilization. Ready-made garment industry has long historically adopted fewer technological and process advancement as compared to automotive, electronics and semiconductor industries. Simulation modeling of garment assembly line has attracted a number of researchers as one way for insightful analysis of the system behaviour and improving its performance. However, most of simulation studies have considered ill-defined experimental design which cannot fully explore the assembly line design alternatives and does not uncover the interaction effects of the input variables. Simulation metamodeling is an approach to assembly line design which has recently been of interest to researchers. However, its application in garment assembly line design has never been well explored. In this paper, simulation metamodeling of trouser assembly line with 72 operations was demonstrated. The linear regression metamodel technique with resolution-V design was used. The effects of five factors: bundle size, job release policy, task assignment pattern, machine number and helper number on throughput of the trouser assembly line were studied. An increase of the production throughput by 28.63% was achieved for the best factors' setting of the metamodel.

show abstract

Section: Plos Onesupporting

confidence: 92%

Simulation metamodeling approach to complex design of garment assembly lines

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Hence, reduces the cycle time and idle time of the workstation, and thus increases the overall throughput of the production line. The present study agreed with the study done by Kandemir & Handley [40] which reiterated that equal task assignment produces high production throughput and efficiency due to equal workload of the operators and minimization of workstation idle time.…”

Section: Figure 9 Main Effects Plot For Throughputsupporting

confidence: 92%

Simulation Metamodeling Approach to Complex Design of Garment Assembly Lines

Bongomin

Mwasiagi

Nganyi

et al. 2020

Preprint

View full text Add to dashboard Cite

The today competitive advantage of Ready-made garment industries depends on the ability to improve the efficiency and effectiveness of resource utilization. Ready-made garment industries have long historically adopted fewer technological and process advancement as compared to automotive, electronics and semiconductor industries. Simulation modeling of garment assembly line system has attracted a number of researchers as one way for insightful analysis of system behaviour and improving its performance. However, most of simulation studies have considered ill-defined experimental design which cannot fully explore the assembly line design alternatives and does not uncover the interaction effects of the input variables. Simulation metamodeling is an approach to assembly line design which has recently been of interest to so many researchers. However, its application in garment assembly line design has never been well explored. In this paper, simulation metamodeling of trouser assembly line with 72 operations has been demonstrated. The linear regression metamodel technique with resolution-V design was used. The effects of five factors: bundle size, job release policy, task assignment pattern, machine number and helper number on the production throughput of the trouser assembly line were studied. The increase of 28.63% of the production throughput was achieved for the best factors’ setting of the metamodel.

show abstract

“…Computational models can be used to predict mental workload across multiple applications and can be used to narrow the field of interest when the area of study is broad (Kandemir & Handley, 2019). These models are designed by capturing the tasks needed to accomplish a process, the amount of time it takes to perform each task, the sequence of the tasks, and interfaces used to complete the task.…”

Section: Discussionmentioning

confidence: 99%

“…Mental workload is the perceived relationship between the amount of mental processing capability or resources and the amount required by the task (Wickens, 2008). An estimate of mental workload can be determined by measuring how well a person performs on assigned tasks as the number or complexity of the tasks increases (Kandemir & Handley, 2019). When demands exceed the operator's capacity, the performance degrades from baseline or ideal levels.…”

Section: Mental Workload As a Surrogate For Driver Distractionmentioning

confidence: 99%

Computational Models for Workload Analysis of Driving Tasks

Handley

Thompson

2021

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

This paper describes a methodology to design computational models to evaluate the workload for driving tasks. A computational model was configured for a driving scenario used in a pilot study that included a secondary task at varying levels of difficulty to increase the driver’s workload. The computational model results provided a workload analysis of the concurrent driving tasks. This analysis can be used to explain the experimental findings from subject experiments and to evaluate the workload trade-offs between primary and secondary driving tasks.

show abstract

Work process improvement through simulation optimization of task assignment and mental workload

Cited by 10 publications

References 55 publications

Simulation metamodeling approach to complex design of garment assembly lines

Simulation metamodeling approach to complex design of garment assembly lines

Simulation Metamodeling Approach to Complex Design of Garment Assembly Lines

Computational Models for Workload Analysis of Driving Tasks

Contact Info

Product

Resources

About