A simulation study on CONWIP System Design for Bicycle Chain Manufacturing

Yang, Taho; Hung, Yu Hsiu; Huang, Kuan Cheng

doi:10.1016/j.ifacol.2019.11.578

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Their proposed pull production system combined a CONWIP with a kanban system, and the performance was verified through simulations. Yang et al [24] demonstrated the effectiveness of the CONWIP pull system and proposed that multi-CONWIP can reduce the production lead time and WIP in bike chain production. Onyeocha et al [25] evaluated the hybrid kanban CONWIP control strategy and basestock kanban CONWIP control strategy in a multi-product serial flow line.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

Cheng

Lee

et al. 2022

Sustainability

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In the solar silicon manufacturing industry, the production time for crystal growth is ten times longer than at other workstations. The pre-processing time at the ingot-cutting station causes work-in-process (WIP) accumulation and an excessively long cycle time. This study aimed to find the most effective production system for reducing WIP accumulation and shortening the cycle time. The proposed approach considered pull production systems, and the response surface methodology was adopted for performance optimization. A simulation-based optimization technique was used for determining the optimal pull production system. The comparison between the results of various simulated pull production systems and those of the existing solar silicon manufacturing system showed that a hybrid production system in which a kanban station was installed before the bottleneck station with a CONWIP system incorporated for the rest of the production line could reduce the WIP volume by 26% and shorten the cycle time by 16% under the same throughput conditions.

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Section: Related Workmentioning

confidence: 99%

A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

Cheng

Lee

et al. 2022

Sustainability

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“…While some of the studies of pull mechanisms investigate single-stage production processes [42] others investigated multistage processes, mostly with single product production [43][44][45][46][47]. Some articles describe case studies of implantation of pull control mechanisms [48] describes the development of two different Conwip approaches for bicycle chain manufacturing. They have simulated and compared these two approaches with the existing one and found that one outperforms by 42 percent and another by 50 percent regarding lead time.…”

Section: Pull Control Mechanismsmentioning

confidence: 99%

Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

Tošanović

Štefanić

2022

Applied Sciences

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The goal of any lean implementation in production process is achieving better production performances and one of them is productivity. Among many lean principles, pull principle is the most complex to achieve. There are different production control mechanisms for achieving pull and making decision which one to apply can be demanding because sometimes it is not obvious which is the best for specific situation. Many different production parameters influence production process and for one production setting, one control mechanism is the best choice, but for another production setting it might not be. One goal of this study was to research the influence of bottleneck in the production process in regard to achieving better productivity by applying pull principle. Some of the literature considered deals with the topic of bottleneck and pull but focuses only on bottleneck or in addition on one another production parameter and most of the literature studies up to three different pull control mechanisms. One of the objectives of this study was also to fill the research gap in a way to investigate more mechanisms, particularly, according to the literature, those most widely used in various production conditions with emphasis on bottleneck. The advantage of this research is that in addition to the bottleneck, other parameters, namely the number of control cards, variations and processing time are considered. For that reason, simulation experimentation was conducted and as a result regression functions modelling the relationship between productivity and mentioned parameters for four different pull control mechanisms are gained. The analysis showed that the existence of a bottleneck affects the effectiveness of pull mechanisms in terms of productivity.

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A Tool-Based Approach to Assess Simulation Worthiness and Specify Sponsor Needs for SMEs

Bicalho-Hoch

Ozkul

Wittine

et al. 2022

2022 Winter Simulation Conference (WSC)

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A simulation study on CONWIP System Design for Bicycle Chain Manufacturing

Cited by 4 publications

References 17 publications

A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

A Tool-Based Approach to Assess Simulation Worthiness and Specify Sponsor Needs for SMEs

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