Key factors in designing a manufacturing line to maximize tool utilization and minimize turnaround time

Martin, D.P.

doi:10.1109/ismss.1993.263701

Cited by 8 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Martin (1993) quick TAT helps to reduce bottlenecks in a process. The author further states that quick TAT should be competitive in a process.…”

Section: Strategies For the Improvement Of Turnaround Timementioning

confidence: 99%

“…Effective TAT allows the processes to move smoothly as well as meeting customer needs in terms of getting service within acceptable lead time. Quick TAT helps to reduce high volume of work in progress in a process (Martin, 1993). Effective TAT improves productivity and reduces workload at an organization.…”

Section: Introductionmentioning

confidence: 99%

“…TAT is very vital in any process to increase productivity. According to Martin (1993), to fit well and be competitive in a market, low cost and fast turnaround time is a requirement. The author further states that good TAT provides quick reaction to customer needs, and it assists to reduce the existing work in a pipeline or process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a framework for improving the turnaround time of the application process at the South African Civil Aviation Authority

Mokoena

Daniyan

Mpofu

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…According to Martin (1993) quick TAT helps to reduce bottlenecks in a process. The author further states that quick TAT should be competitive in a process.…”

Section: Strategies For the Improvement Of Turnaround Timementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a framework for improving the turnaround time of the application process at the South African Civil Aviation Authority

Mokoena

Daniyan

Mpofu

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…It is defined as the step mean cycle time divided by the step raw processing time RPT [51]. WIP projection module includes three steps.…”

Section: A Wip Projection Modulementioning

confidence: 99%

Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing

Mhiri

Mangione

Jacomino

et al. 2018

IEEE Trans. Semicond. Manufact.

View full text Add to dashboard Cite

“…Compared to utilization, inventory is more observable and has no boundary, therefore, easier to be measured objectively. For a single machine, based on (2), a revised X-factor ( ) is defined by the following: Note that (10) is different from previous studies [11], [16]- [18], [23], since -EPT/PT‖ may not equal one. Little' s Law [32] in queueing theory states that where is inventory, is the mean lot arrival rate, and CT is the cycle time.…”

Section: Variability Of a Single Machinementioning

confidence: 99%

An Examination of Variability and Its Basic Properties for a Factory

Wu¹

2005

IEEE Trans. Semicond. Manufact.

View full text Add to dashboard Cite

Variability is a key performance index of a factory. In order to characterize variability of a factory, definitions of bottleneck, utilization, and variability of a single machine are reexamined and clarified. The clarification leads to the introduction of a detail expression for the relationship between cycle time and work-in-progress.In order to quantify variability for factories, the author uses a single machine system to gauge the behaviors, and subsequently derives an explicit expression for the variability, of a simple factory, making use of analogy and the clarified definitions. The obtained results can be applied to many subjects in the field of manufacturing management, such as factory performance analysis, capacity planning, and cycle time reduction.With the derived results, properties of variability for a simple factory in the aspects of utilization versus throughput bottlenecks and nonthroughput bottlenecks, gap effects, and bounds on variability, are examined in detail to shed light on the insights of the stochastic behaviors of a complex factory.

show abstract

Key factors in designing a manufacturing line to maximize tool utilization and minimize turnaround time

Cited by 8 publications

References 0 publications

Development of a framework for improving the turnaround time of the application process at the South African Civil Aviation Authority

Development of a framework for improving the turnaround time of the application process at the South African Civil Aviation Authority

Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing

An Examination of Variability and Its Basic Properties for a Factory

Contact Info

Product

Resources

About