Maintenance, shutdown and production scheduling in semiconductor robotic cells

Tonke, Daniel; Grunow, Martin

doi:10.1080/00207543.2018.1444809

Cited by 11 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis of synergies and challenges between maintenance and production functions are often presented in literature. For example, Tonke and Grunow (2018) studied the integration of production and maintenance plans, by scheduling shutdowns during periods of overcapacity to reduce wear and tear on equipment, and Muchiri et al (2014) highlighted the need of combining knowledge of operating and maintenance practices for asset performance analysis and optimisation.…”

Section: Summary Of Findings and Remarksmentioning

confidence: 99%

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Holgado

Macchi

Evans

2020

International Journal of Production Research

View full text Add to dashboard Cite

This investigation studies advanced practitioners of maintenance management and seeks to uncover the related impacts and contributions of best practice maintenance toward sustainable manufacturing operations. This exploratory research conducted a novel empirical analysis focused on maintenance functions in nine manufacturing companies from diverse sectors.The analysis uncovered insights related to the economic, environmental, and social benefits of a deeper involvement of maintenance function in plant operations and decision-making. We observed links of maintenance function with product competitiveness and with energy management activities that were unexpected. We confirmed benefits from keeping machinery in good working conditions and restoring promptly good working conditions when an issue happens. The depth of maintenance contribution on each area identified in this study will depend on the operational and business context of the manufacturing company; thus, companies need to reflect on these based on their specific processes, business needs and goals. Ultimately, this work can inspire managers in manufacturing companies to organise maintenance function strategically toward fostering long-term competitive, responsible and sustainable performance.

show abstract

Section: Summary Of Findings and Remarksmentioning

confidence: 99%

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Holgado

Macchi

Evans

2020

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…A semiconductor manufacturing system is a typical complex manufacturing system containing hundreds or thousands of processing steps [1,2]. Unlike conventional manufacturing and assembly systems, semiconductor manufacturing involves a re-entrant phenomenon, in which a workpiece may queue for its turn to be processed by one piece of equipment and visit this equipment repeatedly [3].…”

Section: Introductionmentioning

confidence: 99%

PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems

Yu,

Jiang,

Zhang

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

There are currently many studies on data-driven optimization scheduling, but only a few studies have combined “closed-loop optimization” with “performance-driven”. Therefore, this research proposed a PSO-SVM-based (particle swarm optimization optimized support vector machine) scheduling method that reconciles the composite dispatching rules (CDR), performance-driving ideology, and feedback mechanism ideology. Firstly, the composite dispatching rules coalesce flexible equipment maintenance, multiple process constraints, and dynamic dispatching. Secondly, the performance-driving ideology is carried out through two learning models based on the PSO-SVM algorithm, based on targeted optimizing performances. Thirdly, the feedback mechanism ideology makes the scheduling method realize closed-loop optimizations adaptively. Finally, the superiority of the proposed scheduling method is validated in a semiconductor manufacturing system in China. Compared with CDR, the proposed scheduling method combines MOV, PR, and EU, respectively EU_ O, EU_ P, PCSR and ODR increased by 7.85%, 5.11%, 8.76%, 8.14%, 6.60%, and 7.33%, indicating the superiority of this method.

show abstract

“…It is known that usually Robotic cells entail an input/output device for sections entering and going out of the cell, units of processing able to carry out different process steps, and a one or two grippers entailing robot. It is able to transport all the parts between processing units [6,7]. Additionally, robotic cells are mainly divided by two classes: a group containing a process of inspection built into the operations of a multi-function robot (MFR), and another category lacking inspection [8].…”

Section: Introductionmentioning

confidence: 99%

A Bender’s Algorithm of Decomposition Used for the Parallel Machine Problem of Robotic Cell

et al. 2021

View full text Add to dashboard Cite

The present research addresses the single transportation robot used to alleviate problems of robotic cell scheduling of the machines. For the purpose of minimizing the make-span, a model of mixed-integer linear programming (MILP) has been suggested. Since the inefficiency exists in NP-hard, a decomposition algorithm posed by Bender was utilized to alleviate the problem in real life situations. The proposed algorithm can be regarded as an efficient attempt to apply optimality Bender’s cuts regarding the problem of parallel machine robotic cell scheduling in order to reach precise resolutions for medium and big sized examples. The numerical analyses have demonstrated the efficiency of the proposed solving approach.

show abstract

Maintenance, shutdown and production scheduling in semiconductor robotic cells

Cited by 11 publications

References 30 publications

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems

A Bender’s Algorithm of Decomposition Used for the Parallel Machine Problem of Robotic Cell

Contact Info

Product

Resources

About