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The purpose of this paper is to develop a simulation model capable of capturing the complex variables impacting the productivity of tunneling construction projects.

Simulation modeling is used to construct high‐level models of construction supply networks in order to perform quantitative analysis, enabling planners to work out the embedded complexities of the system.

This study presents a detailed simulation model of a real life tunnel construction project along with its supply chain of liner segments. Using this detailed model, a sensitivity analysis for the tunneling project shows the impact of chosen variables on the duration of a tunneling project; these results are used to verify the importance of considering the whole supply chain of a construction project in the planning stage.

Effective quality control, consideration of the shortage of storage space, and anticipation of required lead time when placing the first order to achieve the full storage capacity of liners before the start of a project are some practices that can be employed by construction organizations to address supply chain issues for tunneling projects.

Research into quantifying the benefits of implementing supply chain management (SCM) is very limited: the literature for the construction industry generally discusses how SCM concepts can be adopted, or what problems and challenges inhibit such adoption without analyzing and quantifying the effects of these techniques on an actual construction project.

This paper aims to focus mainly on the relationship between ownership structure and earnings management of a developed and two developing economies, and is distinct from prior research.

Using a sample of firms from three countries (Australia, Malaysia and Pakistan), the detailed ownership evolutions for the period 2011-2013 were observed.

Overall, the authors find that in the East, ownership concentration is negatively associated with financial reporting quality. Individual ownership and group ownership were negatively associated with earnings management in Pakistan, however, not in Malaysia where the same were positively associated. Further, the result of this study indicated that state ownership is negatively associated with firm performance. Among the control variables, it was found that larger firms were negatively correlated with financial reporting, while firms with a larger board size and mature in the maneuver were coupled positively with earnings management.

The results highlight the highly individualized effects of blockholders and the need for research to further understand the mechanisms through which shareholders impact financial reporting quality.

The purpose of this paper is to present a diagnosis technique, for rotor broken bar in double cage induction motor, based on advanced use of wavelet transform analysis. The proposed technique is experimentally validated.

The proposed approach is based on a combined use of frequency sliding and wavelet transform analysis, to isolate the contribution of the rotor fault components issued from vibration signals in a single frequency band.

The proposed technique is reliable for tracking the rotor fault components over time-frequency domain. The quantitative analysis results based on this technique are the proof of its robustness.

The validity of the proposed diagnosis approach is not limited to the analysis under steady-state operating conditions, but also for time-varying conditions where rotor fault components are spread in a wide frequency range.

The developed approach is best suited for automotive or high power traction systems, in which safe-operating and availability are mandatory.

The paper presents a diagnosis technique for rotor broken bar in double cage induction motor base on advanced use of wavelet transform which allows the extraction of the most relevant rotor fault component issued from axial vibration signal and clamping it in a single frequency bandwidth, avoiding confusions with other components and false interpretations.