Performance evaluation of production systems monitored by statistical process control and off-line inspections

Colledani, Marcello; Tolio, Tullio

doi:10.1016/j.ijpe.2007.07.011

Cited by 59 publications

(9 citation statements)

References 27 publications

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“…Other researchers have tacitly assumed that SPC enhances process performance, and have focused on methodologies for implementing SPC (Chen, Yang, Lin, & Yeh, 2008) or for evaluating the effectiveness of SPC tools and techniques (Colledani & Tolio, 2009;Ou, Wu, & Tsung, 2012) without empirically measuring the operational performance or firm performance effects of SPC. Coleman, Arunakumar, Foldvary, and Feltham (2001) offer a structured implementation methodology for using SPC with selected metrics to improve performance in a variety of processes, and detail the results of applying their methodology in a single-site case study.…”

Section: Statistical Process Controlmentioning

confidence: 99%

Linking Sustainability to Quality Management and Firm Performance

Mishra¹,

Napier²

2015

IJBM

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Environmental management practices have evolved significantly over the past two decades. During that time, sustainable operations management practices have purportedly made positive contributions to overall firm performance. This paper develops two conceptual frameworks regarding the relationships among specific elements of environmental management, quality management, and firm performance. We suggest that innovation in quality management mediates the relationship between design for environment and firm performance, and that statistical process control techniques moderate the relationship between environmental management systems and firm performance. We identify future research possibilities, based on these frameworks, to inform scholarly research and practice in environmental management and quality management.

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Section: Statistical Process Controlmentioning

confidence: 99%

Linking Sustainability to Quality Management and Firm Performance

Mishra¹,

Napier²

2015

IJBM

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“…The authors later extended the approach to longer production lines in [5] by proposing a decomposition approach. In [6] and [7], approaches to evaluate the performance of synchronous manufacturing lines, considering quality control actions triggered by statistical control charts are proposed. The applications of these methods have led to the identification of interesting phenomena due to the trade-off between quality and production logistics performance and to the derivation of design and operational decisions to exploit this trade-off.…”

Section: Literature Reviewmentioning

confidence: 99%

Lead time distribution in unreliable production lines processing perishable products

Colledani

Angius

Horváth

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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The integrated analysis of quality and production logistics in manufacturing systems has recently attracted increasing interest among researchers and industrialists. It has been shown that several links exist among the manufacturing system design and the product quality, which are dominated by complex dynamic interactions. However, these interactions have never been addressed in manufacturing systems producing perishable products. The quality characteristics of perishable products deteriorate over time. Several examples of this phenomenon are found in the food industry, in semiconductor manufacturing, and in polymers forming processes. If the time parts spend in the system exceeds a certain threshold the inventory becomes obsolete and defective parts need to be scrapped. A similar problem is also found in highly dynamic supply chains. In this paper, we provide an analytical method to model the dynamics of this phenomenon in a buffered two-machines line with general Markovian machines. The main contribution is a method for the calculation of the lead time distribution, that allows us to derive predictions of the effective throughout and scrap rate. In case of two-state machines the approach leads to symbolic expressions while in case of general Markovian machines numerical solutions can be obtained. Numerical results provide relevant insights on the problem and show counterintuitive behaviors paving the way to the design of buffers for product quality

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“…Gershwin (2005, 2008) studied the relationship between quality and productivity by assuming that machines can enter a failure mode that is absorbing until proper maintenance is carried out. Colledani and Tolio (2005, 2009) considered a production system composed of unreliable manufacturing and inspection stations with different failure modes. Statistical quality control charts are introduced at the inspection stations and act as noisy measurements of the quality state of the machines.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of buffer sizes and inspection station positions

Ouzineb

Mhada

Pellerin

et al. 2018

Production & Manufacturing Research

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The problem of buffer sizing and inspection stations positioning in unreliable production lines is a complex mixed integer nonlinear optimization problem. In this problem, we have a production line with n machines and n fixed-size (storage) buffers in series. The machines produce parts that are either conforming or nonconforming, and the line includes inspection stations that reject the nonconforming pats. The goal is to find the optimal buffer sizes, the number and positions of the inspection stations, and satisfy the customer demand on conforming parts while minimizing the total cost. We present in this paper an exact method to solve this complex manufacturing problem. We also present new theoretical results on buffer-size bounds, stationarity, and cost function convexity permitting to significantly reduce the problem complexity. These theoretical and algorithmic developments allow solving to optimality instances with up to 30 machines tools developed previously cannot solve. ARTICLE HISTORY

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Performance evaluation of production systems monitored by statistical process control and off-line inspections

Cited by 59 publications

References 27 publications

Linking Sustainability to Quality Management and Firm Performance

Linking Sustainability to Quality Management and Firm Performance

Lead time distribution in unreliable production lines processing perishable products

Optimal planning of buffer sizes and inspection station positions

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