Adaptive input control for job-shop type production systems with varying demands using inverse queueing network analysis

Kuroda, Mitsuru; Kawada, A.

doi:10.1016/0925-5273(94)00075-1

Cited by 8 publications

(8 citation statements)

References 6 publications

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“…The primary goal of back‐end operations is on‐time delivery in practice (Kuroda and Kawada, 1995; Hopp and Roof, 1998; Dabbas and Chen, 2001; Ryan and Choobineh, 2003; Qiu, 2005; Guo et al , 2007a; Chiang et al , 2008). On‐time delivery consists of delivering finished goods in sufficient volume on the date promised.…”

Section: Wip Exception Handling Systemmentioning

confidence: 99%

Constructing a production exception handling system for the semiconductor manufacturing process

Yeh

2011

Kybernetes

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Purpose -Facing keen worldwide competition, it is not enough for companies to pursue customer satisfaction; they must actively pursue customer delight. This paper seeks to design a work-in-process (WIP) exception handling system (WIPEHS) not simply measuring on-time delivery performance for managers to take necessary improvement activities. It helps managers detect abnormal WIP levels in advance, trigger rectifying actions and finally notify pertinent people to coordinate roots causes and preventive means. Design/methodology/approach -The structure of WIPEHS is proposed and then constructed with a soft package, Vigilance. A typical semiconductor factory is built and production data are simulated to evaluate the effectiveness of WIPEHS. Findings -Collecting and analyzing results from the simulated typical semiconductor factory, the paper finds that the proposed system can effectively improve on-time delivery performance; and that durations from a WIP exception detected a WIP exception back to normal and durations between two successive WIP exceptions significantly. Practical implications -It helps factories outperform due dates, achieving significantly higher performance than prior performance without the production exception handling system, which should greatly please customers. Originality/value -The proposed WIPEHS provide a total solution for undesirable production variations potentially harmful to due-date performance. It anticipates WIP exception, notifies pertinent recipients, tracks the progress of exception resolution, and provides a forum for discussion of the root causes.

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Section: Wip Exception Handling Systemmentioning

confidence: 99%

Constructing a production exception handling system for the semiconductor manufacturing process

Yeh

2011

Kybernetes

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“…Several previous studies have proposed methodologies for setting suitable WIP levels for the semiconductor back-end environment. However, most of these studies have focused on the determination of WIP levels in the wafer-fabrication (front end) stage (Gross and Harris 1974, Robinson et al 1990, Wein 1992, Kuroda and Kawada 1995, Rose 1998, Lin and Lee 2001, Nye et al 2001, Sivakumar and Chong 2001. Burman et al (1986) developed a queuing network model for the IC manufacturing industry.…”

Section: Determining Wip Levelsmentioning

confidence: 99%

Improved customer satisfaction with a hybrid dispatching rule in semiconductor back-end factories

Chiang

Guo

Pai

2008

International Journal of Production Research

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On-time delivery is a vital factor for customer satisfaction in the competitive semiconductor manufacturing industry, and to optimize on-time delivery manufacturers must continuously improve their management of work-in-progress (WIP). However, in undertaking to optimize WIP, managers are also concerned with short cycle times, high throughput, and high utilization. In an attempt to find the most satisfactory solution to these potentially conflicting requirements with regard to WIP, the present study employs fuzzy analytic hierarchy process (AHP) to determine an appropriate set of acceptable WIP deviation levels (AWDLs). These AWDLs are then used in a proposed hybrid dispatching rule to determine the operational priorities of jobs. A simulation model using real-world data is then constructed to examine the proposed mechanism for improving customer satisfaction. The findings of the study confirm that the proposed mechanism is capable of simultaneous consideration of various goals and the achievement of enhanced performances with respect to due-date delivery from semiconductor back-end processes.

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“…Most of these methods focused on the determination of WIP level in fab production environments (Gross and Harris 1974, Wein 1992, Kuroda and Kawada 1995, Robinson et al 1990, Rose 1998, Lin and Lee 2001, Nye 2001 …”

Section: Introductionmentioning

confidence: 99%

“…Lin and Lee (2001) also constructed a queuing network-based algorithm to determine the total WIP level. The queuing network-based method is efficient to estimate a wider range of manufacturing parameters, such as WIP level, and it also can answer questions quickly under some conditions without too much thought (Burman 1986, Askin and Krisht 1994, Kuroda and Kawada 1995. However, in dynamic manufacturing systems, queuing models are not appropriate for obtaining measures of the system since most queuing models assume long-run and steady-state conditions.…”

mentioning

confidence: 98%

“…He studied four kinds of input mechanisms with different dispatching rules and determined the total WIP level in the production process. Linear programming has been presented to project the WIP level (Kim and Leachman 1994, Kuroda and Kawada 1995, Nye 2001, Ryan and Choobineh 2003. It seems to be an appropriate way to project WIP level at each step but it is difficult to know the reasonable data, such as holding costs and shortage costs.…”

mentioning

confidence: 99%

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Multi-objectives exception management model for semiconductor back-end environment under turnkey service

Guo

Chiang

Pai

2007

Production Planning & Control

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On-time delivery is the need for customer satisfaction which is a critical factor in the survival of the semiconductor industry. The on-time-delivery performance of the whole semiconductor turnkey service depends on the performance of the back-end factories. Unfortunately, undesirable and inevitable production variations make it difficult to maintain and improve a factory's performance and more objectives such as cycle time, throughput rate and the due-date accuracy need to be simultaneously considered. This paper presents an exception management model in order to compromise the contradicting needs of delivery accuracy, throughput rate and cycle time. The exception model can be divided into three parts: (1) an integrated performance index is proposed to compromise multiple performance measures;(2) an AWDL (available WIP deviation level) determination model is designed to gather proper AWDLs for triggering exceptions and (3) a WIP correction action is proposed to make abnormal WIP levels back to normal levels as soon as possible. To evaluate the proposed WIP exception management model, a simulation model is constructed and experiments are then conducted. The simulation results show that the proposed model helps back-end factories to set proper exception triggering conditions, reduce uncertainty occurrences and achieve better performances on due dates.

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Adaptive input control for job-shop type production systems with varying demands using inverse queueing network analysis

Cited by 8 publications

References 6 publications

Constructing a production exception handling system for the semiconductor manufacturing process

Constructing a production exception handling system for the semiconductor manufacturing process

Improved customer satisfaction with a hybrid dispatching rule in semiconductor back-end factories

Multi-objectives exception management model for semiconductor back-end environment under turnkey service

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