Life-cycle Research of A-H Share Arbitrage Performance Based on Discrete-event Simulation

Author(s):  
Xianda Shang ◽  
Yi Zhou ◽  
Jie Fang ◽  
Jianwu Lin
2016 ◽  
Vol 16 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Noha M. Hassan ◽  
Talal Al Maazmi ◽  
Ali Al Hadhrami ◽  
Mohamed Al Hosani

Purpose – The purpose of this study is to examine whether discrete event simulation (DES) can be equally utilised in the design phase of the architecture, engineering and construction industry (AEC) projects to achieve a more efficient facility layout. Facility design is a complex process involving diverse disciplines, tasks, tools and events. Integrating key participants involved in the design generally leads to a more satisfied end-user. The AEC thoroughly examined different approaches to enhance this integration through improved communication, visualisation and coordination among the different project participants. DES has been used extensively as a tool for analysis and evaluation, especially during the construction process. Design/methodology/approach – A facility planning framework is illustrated that combines both qualitative and quantitative analysis to achieve a performance-driven design. An investigative qualitative research approach is used to determine the design criteria and performance metrics based on the end-user and authority requirements. This approach is achieved by conducting critical reviews, surveys, focus groups and interviews. The research findings and collected data are used to perform a quantitative analysis to determine the effectiveness of the proposed design if constructed using DES. The potential of the method is shown through a case study to design a mall parking facility. Findings – The case study illustrated the capability of DES to improve construction design by comparing the artificially designed facility following the proposed framework to an existing facility. Increasing customer satisfaction by enhancing safety, minimising waiting time and maximising parking spot availability were the performance metrics used to evaluate the designs. DES was used as a tool to measure these criteria. Utilising DES in facility design increased resource utilisation and resulted in a safer layout that satisfied the end-user, client and authority requirements. Originality/value – Previous studies focused on integrating other modules such as energy, HVAC, lighting, acoustics and life cycle analysis to achieve a performance-driven design. The overwhelming majority of the literature focused on the use of DES for improving construction operations. Research literature about integrating DES as a tool for concurrent life cycle design was scarce. This research demonstrated that DES is an effective method and a vital key for determining the facility’s operational efficiency after construction.


Aerospace ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 187
Author(s):  
Ahmad Ali Pohya ◽  
Jennifer Wehrspohn ◽  
Robert Meissner ◽  
Kai Wicke

Current practices for investment and technology decision making in aeronautics largely rely on regression-based cost estimation methods. Although quick to implement and easy to use, they suffer from a variety of limitations, both in temporal space and scope of applicability. While recent research and development in this area addresses these to a certain extent, aerospace engineering still lacks a flexible and customizable valuation framework. To this end, a generic environment for economic and operational assessment of aircraft and related products named LYFE is presented. This tool employs a discrete event simulation which models the product life cycle from its order through decades of operation and maintenance until disposal. This paper introduces its key characteristics and default methods alongside its modular program architecture. The capabilities are demonstrated with a case study of on-wing engine cleaning procedures which are triggered by a customized decision making module. Thereby, the impact on engine health, fuel efficiency and overall economic viability is quantified. On the whole, the framework introduced in this paper can be used to analyze not only physical products but also operational procedures and maintenance strategies as well as specified decision making algorithms in terms of their impact on an aircraft’s or system’s life cycle.


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