The Optimization of Total Laboratory Automation by Simulation of a Pull-Strategy

Yang, Taho; Wang, Teng-Kuan; Li, Vincent C.; Su, Chia-Lo

doi:10.1007/s10916-014-0162-6

Cited by 21 publications

(15 citation statements)

References 27 publications

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“…Although patient satisfaction is key in directing process improvement initiatives in healthcare systems [ 128 , 129 , 130 ], it is rarely measured and monitored in LH–DT interventions. This finding is consistent with previous studies highlighting that most LH interventions tracked the effects on throughputs but disregarded patient satisfaction outcomes [ 94 , 101 , 131 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Tlapa

Tortorella

Fogliatto

et al. 2022

IJERPH

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Despite the increasing utilization of lean practices and digital technologies (DTs) related to Industry 4.0, the impact of such dual interventions on healthcare services remains unclear. This study aims to assess the effects of those interventions and provide a comprehensive understanding of their dynamics in healthcare settings. The methodology comprised a systematic review following the PRISMA guidelines, searching for lean interventions supported by DTs. Previous studies reporting outcomes related to patient health, patient flow, quality of care, and efficiency were included. Results show that most of the improvement interventions relied on lean methodology followed by lean combined with Six Sigma. The main supporting technologies were simulation and automation, while emergency departments and laboratories were the main settings. Most interventions focus on patient flow outcomes, reporting positive effects on outcomes related to access to service and utilization of services, including reductions in turnaround time, length of stay, waiting time, and turnover time. Notably, we found scarce outcomes regarding patient health, staff wellbeing, resource use, and savings. This paper, the first to investigate the dual intervention of DTs with lean or lean–Six Sigma in healthcare, summarizes the technical and organizational challenges associated with similar interventions, encourages further research, and promotes practical applications.

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Section: Discussionmentioning

confidence: 99%

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Tlapa

Tortorella

Fogliatto

et al. 2022

IJERPH

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“…Its implementation of value stream mapping (Li et al, 2015;Sanders et al, 2016). There are also articles that study the use of the big data analytics software in the development of the Quality Function Deployment (QFD) and the use of simulation software for process optimization in LSS projects (Yang et al, 2015;Rane et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Lean Six Sigma in manufacturing process: a bibliometric study and research agenda

Sordan

Oprime

Pimenta

et al. 2020

TQM

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PurposeThe purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes.Design/methodology/approachA total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes.FindingsThe research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process.Practical implicationsThe study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works.Originality/valueThe geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries.

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“…Others integrated simulation and VSM, with a simulation model being generated from a VSM map (Jia and Perera 2009;Lian and Van Landeghem 2007), or even created VSM from simulation models (Goienetxea Uriarte et al 2019;Solding and Gullander 2009). Still, other studies included the combination of VSM and simulation with the study of Kanban (Sabaghi, Rostamzadeh, and Mascle 2015), or CONWIP (Yang et al 2015). There were also combinations with additional techniques such as the use of constraint programming (Samant, Mittal, and Prakash 2018), or 3D-post simulation visualisation to support decision-making (Moghadam, Barkokebas, and Al-Hussein 2014).…”

Section: Stage 3: Review Of Framework Methodology or Methods Of Combining Lean And Simulationmentioning

confidence: 99%

Bringing together Lean and simulation: a comprehensive review

Uriarte

Moris

2019

International Journal of Production Research

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Lean is and will still be one of the most popular management philosophies in the Industry 4.0 context and simulation is one of its key technologies. Many authors discuss about the benefits of combining Lean and simulation to better support decision makers in system design and improvement. However, there is a lack of reviews in the domain. Therefore, this paper presents a four-stage comprehensive review and analysis of existing literature on their combination. The aim is to identify the state of the art, existing methods and frameworks for combining Lean and simulation, while also identifying key research perspectives and challenges. The main trends identified are the increased interest in the combination of Lean and simulation in the Industry 4.0 context and in their combination with optimisation, Six Sigma, as well as sustainability. The number of articles in these areas is likely to continue to grow. On the other hand, we highlight six gaps found in the literature regarding the combination of Lean and simulation, which may induce new research opportunities. Existing technical, organisational, as well as people and culture related challenges on the combination of Lean and simulation are also discussed.

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The Optimization of Total Laboratory Automation by Simulation of a Pull-Strategy

Cited by 21 publications

References 27 publications

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Lean Six Sigma in manufacturing process: a bibliometric study and research agenda

Bringing together Lean and simulation: a comprehensive review

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