Time to realization: Evaluation of CO2 capture technology R&amp;Ds by GERT (Graphical Evaluation and Review Technique) analyses

Kosugi, Toshihiko; Hayashi, Ayami; Matsumoto, Tsuyoshi; Akimoto, Keigo; Tokimatsu, Koji; Yoshida, Hajime; Tomoda, Toshimasa; Kaya, Yoichi

doi:10.1016/j.energy.2004.03.088

Cited by 34 publications

(13 citation statements)

References 7 publications

(10 reference statements)

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“…These parameters are usually additive, such as time or cost [17]. In recent years, GERT analysis has also been applied in project management [18,19], evaluation of research and development (R&D) process [20], reliability modeling [21,22] and so on.…”

Section: Fig 1 Assessing the In Uence Of The Input Distribution On Tmentioning

confidence: 99%

Multi-parameters uncertainty analysis of logistic support process based on GERT

Pan

Kang

et al. 2014

J. of Syst. Eng. Electron.

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The uncertainty analysis is an effective sensitivity analysis method for system model analysis and optimization. However, the existing single-factor uncertainty analysis methods are not well used in the logistic support systems with multiple decision-making factors. The multiple transfer parameters graphical evaluation and review technique (MTP-GERT) is used to model the logistic support process in consideration of two important factors, support activity time and support activity resources, which are two primary causes for the logistic support process uncertainty. On this basis, a global sensitivity analysis (GSA) method based on covariance is designed to analyze the logistic support process uncertainty. The aircraft support process is selected as a case application which illustrates the validity of the proposed method to analyze the support process uncertainty, and some feasible recommendations are proposed for aircraft support decision making on carrier.

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Section: Fig 1 Assessing the In Uence Of The Input Distribution On Tmentioning

confidence: 99%

Multi-parameters uncertainty analysis of logistic support process based on GERT

Pan

Kang

et al. 2014

J. of Syst. Eng. Electron.

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“…In a wheat production project, GERT was effectively used to help mangers in making decisions as for what activities are considered as critical and whether they are progressing on or behind schedule [21]. Kosugi et al used GERT to evaluate the research and development processes of five different capture technologies in terms of the times needed and their success probabilities [22]. By taking advantage of the well-formed formalism of GERT and its ability of analyzing stochastic networks, the present paper makes a twofold contribution.…”

Section: Introductionmentioning

confidence: 99%

A Modeling Approach to Analyze Variability of Remanufacturing Process Routing

Tang

2013

IEEE Trans. Automat. Sci. Eng.

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Remanufacturing is a practice of growing importance due to increasing environmental awareness and regulations. However, little research focuses on stochastic remanufacturing process routings (RPR). This paper presents an analytical method, where four Graphical Evaluation and Review Technique (GERT)-based RPR models are proposed to mathematically represent and analyze the variability of remanufacturing task sequences. In particular, with the method, the probability of individual processes being taken in a remanufacturing system and the time associated with them can be efficiently determined. The proposed method is demonstrated through the remanufacturing of used lathe spindles and telephones, and verified by Arena simulation. Numerical experiments that investigate the relationships between RPR dynamics and other system parameters (such as inventory control for due-time performance and time buffer size for bottleneck control) are included.Note to Practitioners-Product returns in remanufacturing are highly uncertain in quantity and condition, resulting in much variation in the set of operations (i.e., RPR) necessary to restore the returns to specifications. For instance, products that originally have the same configuration may need different repair methods due to unpredictable structural changes or functional defects during their utilization phase. Depending on the degree of damage, products, going through the same repair method, might need different iterations on certain operations. As these factors exist in a real remanufacturing cycle, how to effectively model and analyze the dynamics of RPRs becomes essential for remanufacturing production planning and control. This paper undertakes this challenge and develops four GERT-based RPR models that mathematically represent and analyze the behavior of remanufacturing operations through probabilistic measures. More importantly, the relationships between those measures and other system parameters critical to production planning and control (such as inventory control for due-time performance and time buffer size for bottleneck control) are investigated through numerical examples. Given the importance of modeling and analysis in the design and operation of remanufacturing, the key contribution of our research findings is the four RPR models that, for the first time to the authors' knowledge, explicitly consider the underlying uncertainty in remanufacturing and its impact to processing planning. The easy integration of this development with other well-established inventory and bottleneck control models can successfully overcome a deficiency in those existing control mechanisms that ignores remanufacturing uncertainty, thereby making the integrated method more applicable to real industrial settings.

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“…They gave every activity a failure probability, and a failure activity can be fed back to its previous stage to be reworked. In addition to the areas of product development, GERT has also been applied to many other areas of project management, such as reliability problems, project resource allocation, and scheduling…”

Section: Introductionmentioning

confidence: 99%

Assessing Performance Risk for Complex Product Development: A Simulation‐Based Model

2012

Quality & Reliability Eng

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Assessing and managing performance risk is important for complex product development projects. The performance risk of complex product development can be defined as the probability failing to achieve desired performance level subject to cost and time constraints. This article presents a simulation model based on the graphical evaluation and review technique (GERT) and analyzes the complex product development project using simulation data. The model computes the probability distribution of project duration and cost in a GERT network with multifeedback branches considering activities rework that is caused by probabilistic failure to meet the planned design objective. A simulation strategy is designed to assess the performance risk in both subsystems and system development. With the performance risk assessment methodology, project managers can make a better decision and then minimize the performance risk of product development project. Finally, an obstacle clearance armored vehicle development project is used to illustrate the effectiveness of the proposed model. Copyright © 2012 John Wiley & Sons, Ltd.

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Time to realization: Evaluation of CO2 capture technology R&Ds by GERT (Graphical Evaluation and Review Technique) analyses

Cited by 34 publications

References 7 publications

Multi-parameters uncertainty analysis of logistic support process based on GERT

Multi-parameters uncertainty analysis of logistic support process based on GERT

A Modeling Approach to Analyze Variability of Remanufacturing Process Routing

Assessing Performance Risk for Complex Product Development: A Simulation‐Based Model

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