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Editorial

Volume 12, Number 2, March 2016

Vallayil N. A. Naikan

Co-Editor-in-Chief

 

This is the second issue of the International Journal of Performability Engineering of the year 2016 and the first issue under the editorship of the two new Co-Editors-in-Chief, namely, Dr. Dianxiang Xu, Professor & Graduate Coordinator of the Department of Computer Science at Boise State University, USA (e-mail: ijpe.xu@gmail.com) and Dr. Vallayil N. A. Naikan, - Professor and Head of the Reliability Engineering Centre at IIT Kharagpur, India (e-mail: naikanijpe@gmail.com). The scope of the journal, procedure for paper submission, the review process and the editorial policy remain unchanged. We are in the process of implementing an on-line paper management system for the journal. Once this is fully operational, it will be informed through the journal and also on the website of the journal. Till that time, authors are encouraged to submit their full research papers, case studies, review papers, short communications, book reviews, and other information such as details on conferences within the scope of the journal to any one of the Co-Editors-in-Chief by e-mail. The authors are also encouraged to submit the list of four referees with their current affiliation and contact details to accelerate the process of blind review of their paper. The new editorial board acknowledges the hard work and the invaluable contribution of the founder and long term editor of the journal Professor Krishna B. Misra. We also thank the editorial board members, the authors, paper reviewers and the readers of the journal for their enthusiasm, encouragement, support, and patience without which the journal could not have achieved its present status. We also expect that the journal will achieve more and more milestones in the years to come with the active participation and support of all concerned.

This issue of the journal consists of eight technical papers and a short communication.

The first paper shows that the lean manufacturing principles in conjunction with the simulation can be applied in processes of providing public services and contribute positively to the identification of process improvements. The paper also presents a case study from Brazil.

The second paper presents the effects of implementing turbulence device on the effectiveness of catalytic converter which represents the reduction in pollution rate through vehicles by minimizing the harmful emissions.

The third paper proposes a method for incorporation of acceleration in zero-failure testing cases. The paper, with a numerical example, proposes an optimum time censored zero-failure ALT plan under triangular cyclic-stress loading for Burr type XII distribution by minimizing the variance of the reliability function at used condition such that zero failures occur with reliability at high confidence level.

The fourth paper proposes an optimum test plan and statistical inference of 3-step step-stress accelerated life tests (SSALT) under progressive Type-I censoring.

The fifth paper reviews the investigations on the effects of heat treatment on the microstructure, quality of casting and mechanical properties of Al-7Si-0.3Mg (LM25) alloy.

The sixth paper highlights the optimization of Orbital Tungsten Inert Gas (OTIG) welding process parameters by Design of Experiment (DOE) using Taguchi method for stainless steel tubes used in propulsion feed system in satellites.

The seventh paper discusses the limitations of the existing research and proposes application of Lean Six Sigma to the medium consumption reduction in order to reduce the medium consumption of dense-medium coal separation, trace back the root causes and key factors of high medium consumption, and provide an efficient solution.

The eighth paper proposes a Memetic Algorithm to obtain a solution to the problem of preventive maintenance planning for a multi-component machine.

This issue of the journal also has a short communication. This paper presents a theoretical modeling approach to evaluate the performance metric that captures both service time of virtual machines (VM) and parse time of the cloud controller (CC) to ensure high fidelity.(text goes here - replace this text)

 

 
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