Performance evaluation and enhancement of multistage manufacturing systems with rework loops

Cao, Yongxin; Subramaniam, Velusamy; Chen, Ruifeng

doi:10.1016/j.cie.2011.09.004

Cited by 26 publications

(9 citation statements)

References 24 publications

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“…In the evaluation of a system design, performance measure plays an important role in determining the effectiveness of the system. Thus, we often found that performance evaluation is a major key in system design decisions (Cao, Subramaniam, & Chen, ; Ramasamy & Raja, ; Zhang & Gao, ). In general, performance measures used to evaluate human‐robot collaboration performance, also called human performance, for teleoperation tasks are task completion time, force, average error of spatial movement, and velocity of movement.…”

Section: Proposed Multiple Performance Measuresmentioning

confidence: 99%

Investigating multiple human performance measures in teleoperation task: A translation task in a tele‐sandblasting maintenance system

Jientrakul

Yuangyai

Cheng

et al. 2017

Hum Ftrs & Erg Mfg Svc

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In sandblasting tasks for complex steel structure maintenance, teleoperation is required to keep humans away from occupational risk and hazard. On the other hand, teleoperation typically degrades system‐human performances, resulting in poor product quality and must be designed such that the performances remain as high as possible. However, designing the teleoperation system regarding to a single performance measure may lead to an improper design. In this article, we propose two novel loss‐function‐based human‐performance measures to incorporate with a widely used performance measure, movement time, to thoroughly represent performance: unfinished surface and damaged surface. We aim to investigate the effects of two main design parameters, viewing distance and path width. The results show that only path width is significant for overall performances. Furthermore, the effect of gender is significant such that men outperform women in cleaning the surface. Finally, the optimal setting conditions are suggested to achieve their optimal performances.

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Section: Proposed Multiple Performance Measuresmentioning

confidence: 99%

Investigating multiple human performance measures in teleoperation task: A translation task in a tele‐sandblasting maintenance system

Jientrakul

Yuangyai

Cheng

et al. 2017

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…And the evaluation is implemented at the steady state. Cao et al 41 developed a new three-machine-one-buffer model to decompose a production system with multistage rework loops. In this model, defective products were transferred back to upstream workstations associated with the defect for reprocessing.…”

Section: Introductionmentioning

confidence: 99%

A novel analysis model for optimization performance of Bernoulli serial production system considering rework processes

Zhou

Lin

2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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Production system modeling aims to investigate the principles of production procedures and to reveal the relationship between components and systems. Tremendous efforts have been devoted to production system modeling for the serial production system. However, most of the research focuses on the analysis of the systems at the steady state. Due to the emphasis of the quality management, production systems with rework loops are widely used in today’s manufacturing industrials, which the traditional approaches are not applicable to. Since the recent analysis of transients shows significant value and great potential in manufacturing systems, in this article, a new mechanism for rework is introduced based on the principles of quality management and lean production. A novel “Instant-Checking” method is developed to model Bernoulli serial production system considering rework loops. This method overcomes conventional restrictions and limited assumptions, and it extends the problem to systems with complex structures. Meanwhile, the analysis for transients is conducted to demonstrate relationships between component- and system-level characteristics. Finally, numerical experiments are performed to verify the effectiveness of the model.

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“…Rework activities can be seen at semiconductor, glass, steel, pharmaceutical, and food [1]. The main reasons for producing imperfect parts/jobs may be counted as process variations, imperfect technology, unfit machines, incompetent maintenance, unsteady manufacturing systems, and human errors [2]. So due to the importance of considering rework activities in the management and modeling of manufacturing processes, many articles in this field have been emerged.…”

Section: Introductionmentioning

confidence: 99%

“…So due to the importance of considering rework activities in the management and modeling of manufacturing processes, many articles in this field have been emerged. According to the literature there are totally three different types of rework configurations in manufacturing systems: (1) imperfect parts are remanufactured at the end of production cycle on the same machines, (2) there is a dedicated machine for reworking imperfect parts on and, (3) parallel machines for doing both work and rework activities. Inderfurth et al [3] studied the problem of scheduling the production of main and defective items of a product on the same facility.…”

Section: Introductionmentioning

confidence: 99%

On the n-job, m-machine permutation flow shop scheduling problems with makespan criterion and rework

Bootaki

Paydar

2017

Scientia Iranica

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This paper addresses an n-job, m-machine permutation flow shop scheduling problem (PFSSP) with unlimited intermediate buffers and rework activities. The concept of rework means that processing of a job on a machine may not meet a predefined quality level through its first process. Thus we have a probabilistic cycle of operations for jobs on different machines which is based on two concepts: (1) a failure probability of a job on a machine and, (2) a descent rate that reduces the processing times for rework phase. In this case, the processing times of jobs on machines become random variables with a known probability distribution. The aim of this paper is to examine possible solution approaches for generating the efficient job sequences with the least potential makespan. A wide range of simulationbased approaches are applied to address the proposed problem. These methods contain mathematical formulation, heuristic algorithms, and metaheuristics. The mechanism of the solution approaches is based on firstly using expected processing times to find a job sequence; then evaluating the obtained job sequences by several simulated trials. Using the one-way ANOVA test, these methods have been compared together, and the results show the superiority of metaheuristics, especially simulated annealing, over the other methods.

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Performance evaluation and enhancement of multistage manufacturing systems with rework loops

Cited by 26 publications

References 24 publications

Investigating multiple human performance measures in teleoperation task: A translation task in a tele‐sandblasting maintenance system

Investigating multiple human performance measures in teleoperation task: A translation task in a tele‐sandblasting maintenance system

A novel analysis model for optimization performance of Bernoulli serial production system considering rework processes

On the n-job, m-machine permutation flow shop scheduling problems with makespan criterion and rework

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