Capacity planning with sequential two-level time constraints in the back-end process of wafer fabrication

Tu, Ying-Mei; Chen, Hsin-Nan

doi:10.1080/00207540802415568

Cited by 14 publications

(3 citation statements)

References 19 publications

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“…In this work, the machine failures were regarded as irregular customers whose arrival rate and mean service time are 1/(MTTR þ MTBF) and MTTR, respectively. We assumed that the machine failures were operation dependent and only affected the service data of the system (Tu and Chen 2009). To reveal the effect of machine interrupts, the mean service time and SCV of service time were modified.…”

Section: 23mentioning

confidence: 99%

Model to determine the capacity of wafer fabrications for batch-serial processes with time constraints

Chen

2011

International Journal of Production Research

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Time constraints related issues are unavoidable in wafer fabrications. However, when the lots released from a batch workstation overload the downstream serial workstation the consequences are more serious. Under a time constraints environment, peak workload is a critical problem that seriously hurts the overall performance of the downstream workstation. This work applies a GI/G/m queuing network to develop a capacity planning model for batch-serial processes. By applying this queuing network model, the expected waiting time between batch-serial processes can be estimated. Managers can also determine the capacity through the setting of expected rate of exceeding time constraints. The arrival smoothing of the upstream batch workstation and its effect on the downstream workstation is also analysed. The results show that arrival smoothing can effectively decrease the waiting time on the downstream serial workstation through increasing the upstream number of batch machines and decreasing the batch size. The results also conclude that increasing the number of downstream serial machines is not the only option under the batch-serial process in a time constraint environment. Therefore, an investment function of batch-serial process equipment with time constraints is established in this work that can support managers when making investment decisions.

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Section: 23mentioning

confidence: 99%

Model to determine the capacity of wafer fabrications for batch-serial processes with time constraints

Chen

2011

International Journal of Production Research

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“…The semiconductor manufacturing process includes wafer fabrication, probing, assembly and final testing steps. The back-end process of semiconductor manufacturing consists of steps that follows water fabrication (Guo, Chiang, & Pai, 2007; Tu & Chen, 2009; Lin & Chen, 2015). Because semiconductor back-end manufacturing process usually operates with a short lead-time and absorbs the effect of lead time variance in the front-end process, the back-end manufacturing environment is of highly uncertainties and dynamics (Lin & Chen, 2015; Fu, Askin, Fowler, & Zhang, 2015).…”

Section: Introductionmentioning

confidence: 99%

A real-time production scheduling method for RFID-enabled semiconductor back-end shopfloor environment in industry 4.0

Sun,

Zhang

2023

IJSBI

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PurposeA real-time production scheduling method for semiconductor back-end manufacturing process becomes increasingly important in industry 4.0. Semiconductor back-end manufacturing process is always accompanied by order splitting and merging; besides, in each stage of the process, there are always multiple machine groups that have different production capabilities and capacities. This paper studies a multi-agent based scheduling architecture for the radio frequency identification (RFID)-enabled semiconductor back-end shopfloor, which integrates not only manufacturing resources but also human factors.Design/methodology/approachThe architecture includes a task management (TM) agent, a staff instruction (SI) agent, a task scheduling (TS) agent, an information management center (IMC), machine group (MG) agent and a production monitoring (PM) agent. Then, based on the architecture, the authors developed a scheduling method consisting of capability & capacity planning and machine configuration modules in the TS agent.FindingsThe authors used greedy policy to assign each order to the appropriate machine groups based on the real-time utilization ration of each MG in the capability & capacity (C&C) planning module, and used a partial swarm optimization (PSO) algorithm to schedule each splitting job to the identified machine based on the C&C planning results. At last, we conducted a case study to demonstrate the proposed multi-agent based real-time production scheduling models and methods.Originality/valueThis paper proposes a multi-agent based real-time scheduling framework for semiconductor back-end industry. A C&C planning and a machine configuration algorithm are developed, respectively. The paper provides a feasible solution for semiconductor back-end manufacturing process to realize real-time scheduling.

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“…Tu et al (2005) develop a performance evaluation model using the queueing theory and Little's Law to evaluate the effects of backup capacity, work in process, and the cycle time in semiconductor manufacturing. Tu and Chen (2008) study the capacity planning problem in GI/G/m queueing network systems to determine the required number of machines under the process queue time constraint.…”

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confidence: 99%

Dynamic production control in a serial line with process queue time constraint

Lin

Chien

2009

International Journal of Production Research

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This research examines the production control problem in two-station tandem queueing systems under time constraints. In these two-station tandem queueing systems, jobs must first be processed at the upstream station and then the downstream station. For each job, the sum of the waiting and processing time in the downstream queue is limited by an upper bound. This time constraint is called the process queue time constraint. When the process queue time constraint is violated, a significant scrap cost will be accrued. In this research, we develop a Markov decision model to study the production control problem under process queue time constraints. The objective is to minimise the sum of the expected longrun average inventory holding costs and scrap costs. According to the Markov decision model, an interesting exhaustive structure of the optimal production control policy is found. Based on this exhaustive structure, an efficient algorithm is developed to solve the production control problem numerically. The performance of the proposed algorithm is verified by a simulation study. Compared with other heuristics in the literature, the proposed algorithm can significantly reduce production costs while improving system throughput and utilisation.

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Capacity planning with sequential two-level time constraints in the back-end process of wafer fabrication

Cited by 14 publications

References 19 publications

Model to determine the capacity of wafer fabrications for batch-serial processes with time constraints

Model to determine the capacity of wafer fabrications for batch-serial processes with time constraints

A real-time production scheduling method for RFID-enabled semiconductor back-end shopfloor environment in industry 4.0

Dynamic production control in a serial line with process queue time constraint

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