The advantages of using short cycle time manufacturing (SCM) instead of continuous flow manufacturing (CFM)

Martin, D.P.

doi:10.1109/asmc.1998.731385

Cited by 18 publications

(12 citation statements)

References 1 publication

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“…Ozawa et al (1999) and Kishimoto et al (2001) used Martin's original extended X-factor 3937 Availability-adjusted X-factor (Martin 1998) in their studies to analyse theoretical cycle time and operator availability, respectively.…”

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

“…The basic X-factor is defined as the total mean cycle time, T C , divided by the total RPT, T RP , of the manufacturing line, An extended X-factor, proposed by Martin (1998), relates the basic X-factor to individual machine groups through RPT (T RP j ) and utilization (U j ). Where the machine RPT is the sum of the lot processing time, load time, unload time, and lot-averaged machine setup time.…”

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

“…Using a different utilization weighting from Martin (1998), we similarly arrived at an availability-adjusted X-factor contribution equation for a machine group with multiple machines as follows,…”

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

“…Where the machine RPT is the sum of the lot processing time, load time, unload time, and lot-averaged machine setup time. Using the machine group cycle time proposed by Martin (1998), the extended X-factor can be described as a summation of cycle times (T C j ) of each machine group ( j) divided by the RPT of the line, and can be related to the basic X-factor as follows:…”

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

“…Another measure, the extended X-factor, identifies machine groups based on machine-level utilization and raw processing time (RPT). The extended X-factor measure introduced by Martin (1998), and further explored by Delp et al (submitted), rank-orders bottleneck and non-bottleneck machine groups by capacity-constraining qualities. Therefore, the machine group operating conditions can be categorized systematically according to utilization and extended X-factor measures.…”

Section: Introductionmentioning

confidence: 99%

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Availability-adjusted X-factor

Delp¹,

Si²,

Hwang³

et al. 2005

International Journal of Production Research

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The notion of extended X-factor contribution has been proposed and evaluated recently as a tool to identify system capacity constraints based on machine group utilization and raw processing time. This provides a great convenience for factory-floor managers examining system capacity issues by using only local-or machine-level information. The purpose of this study is twofold: to study fundamental properties of the extended X-factor contribution measure augmented with availability, and to use this new measure to investigate resource allocation for optimizing mean cycle time. The availability-adjusted X-factor was first introduced in the context of local cycle time and its relation to allocation of personnel in individual machine groups. The availability-adjusted X-factor contribution measure developed and evaluated in the current study differs from the previous measure by its ability to identify capacity-constraining machines in the entire system. The measure presented herein is a more accurate indicator of capacity constraints than the extended X-factor contribution measures. With an objective to minimize cycle time or maximize throughput by properly allocating available resources, the results presented herein clearly demonstrate the effectiveness of this new measure to identify capacity-constraining machines. This study also uses availability as a decision variable for mean cycle time optimization.

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Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

Section: Availability-adjusted X-factor Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Availability-adjusted X-factor

Delp¹,

Si²,

Hwang³

et al. 2005

International Journal of Production Research

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A systematic study of the extended X-factor in relation to effective system capacity

Delp

Hwang

et al. 2005

Journal of Manufacturing Systems

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Optimized operations by extended X-factor theory including unit hours concept

Kishimoto

Ozawa

Watanabe

et al. 2001

IEEE Trans. Semicond. Manufact.

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The relationships between tool performance, cycle time, and throughput have been described to achieve the highest productivity. Though tool utilization is low for manually operated tools, long waits prior to product processing lead to a productivity loss in our production line. We focus on operator efficiency in the CMP (chemical mechanical polishing) operation, which, as a typical manually operated tool, influences cycle time. This paper introduces an online/offline unit hour analysis method, which has been designed to optimize operator allocation and headcount in our production line, using -factor theory in order to achieve the shortest cycle time. By using online/offline unit hour analysis with -factor theory, the root cause of waiting time can be identified and the relationship between operator headcount and cycle time can be described. The waiting time can be reduced by 35% and the cycle time can be reduced by 25%, according to a simulator with optimized operator allocation and headcount based on online/offline unit hour analysis.

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The advantages of using short cycle time manufacturing (SCM) instead of continuous flow manufacturing (CFM)

Cited by 18 publications

References 1 publication

Availability-adjusted X-factor

Availability-adjusted X-factor

A systematic study of the extended X-factor in relation to effective system capacity

Optimized operations by extended X-factor theory including unit hours concept

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