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Showing papers on "Graphical Evaluation and Review Technique published in 2014"


Journal ArticleDOI
TL;DR: In this article, the authors developed a model for forecasting product returns to the company for recycling in terms of quantity and time, where Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns.
Abstract: Purpose – The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time. Design/methodology/approach – Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns. A case of Indian mobile manufacturing company is discussed for the validation of this model. Survey conducted by the company and findings from previous research were used for data collection on probabilities and product life cycle. Findings – Product returns for their recycling are stochastic, random and uncertain. Therefore, to address the uncertainty, randomness and stochastic nature of product returns, GERT is very useful tool for forecasting product returns. Practical implications – GERT provides the visual picture of the reverse supply chain system and helps in determining the expected time of product returns in a much easier way but it requires probabilities of different flows and product life cycle. ...

42 citations


Journal ArticleDOI
Chong Li1
TL;DR: To investigate the effects of cost components, including the procurement costs, inventory costs, shortage costs, production costs and transportation costs of supply chain members, on the total supply chain operation cost, the concept of cost sensitivity is proposed and corresponding algorithms based on the proposed stochastic network model are provided.

10 citations


Journal ArticleDOI
TL;DR: A simple but integrated stochastic network mathematical model for supply chain ordering time distribution analysis and model-based sensitivity analysis algorithms for ordering fluctuations and inventory fluctuations are developed.

6 citations


Book ChapterDOI
01 Jan 2014
TL;DR: A solid comparison of GERT network with the CPM and PERT network is done not only to emphasize the applicability of the network but also to validate the network.
Abstract: This chapter focuses primarily on Graphical Evaluation and Review Technique (GERT), one of the intriguing techniques used for network-based management. It is a stochastic network technique and has many advantages over the conventional Critical Path Method (CPM) and Programme Evaluation and Review Techniques used for project management. The formulation of the GERT network for linear situation can be development by analytical techniques (such as signal flow graph theory); thus for a non-linear and other complex conditions, the Q-GERT (included Queueing Concepts) is used. To reinforce the importance of GERT and Q-GERT, a firm study is carried out on the limitations of the CPM and PERT. Thus, a solid comparison of GERT network with the CPM and PERT network is done not only to emphasize the applicability of the network but also to validate of the network. The scheduling of concrete formwork systems are considered for the comparison.

4 citations


Patent
05 Nov 2014
TL;DR: In this article, a FTF-based complex product quality loss network analysis method, which comprises the following steps: selecting one or a plurality of fault modes corresponding to severity grades as the top events of a fault tree by utilizing the severity grades in a product FMECA (Failure Mode Effects and Criticality Analysis) result by virtue of a forward FMECA-FTA (Fault Tree Analysis) method, establishing the fault tree diagram of a system, and carrying out qualitative and quantitative analysis by utilizing bottom event fault rate data and fault loss data obtained by a perniciousness
Abstract: The invention discloses a FTF-based complex product quality loss network analysis method, which comprises the following steps: selecting one or a plurality of fault modes corresponding to severity grades as the top events of a fault tree by utilizing the severity grades in a product FMECA (Failure Mode Effects and Criticality Analysis) result by virtue of a forward FMECA-FTA (Fault Tree Analysis) method, establishing the fault tree diagram of a system, and carrying out qualitative and quantitative analysis by utilizing bottom event fault rate data and fault loss data obtained by a perniciousness analysis result in the FEMCA; then, analyzing different network structures by utilizing an established fault distribution diagram; drawing an equivalent fault tree containing virtual top events by utilizing a minimum cutset principle, and carrying out loss measurement on the basis of a fault mode visual angle; constructing a conversion rule of FTA and GERT (Graphical Evaluation and Review Technique), converting a multi-FTA network into a GERT network to carry out the steady-state analysis and the significance and sensitivity analysis of the network loss so as to obtain a key node of a loss network.

3 citations