scholarly journals A Comprehensive Method of Apportioning Reliability Goals for New Product of Hydraulic Excavator

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Wenting Liu ◽  
Qingliang Zeng ◽  
Lirong Wan ◽  
Chenglong Wang
Keyword(s):  
Real Life ◽  
Chemical System ◽  
Design Stage ◽  
Hydraulic Excavator ◽  
Effect Analysis ◽  
Reliability Allocation ◽  
Early Design ◽  
Construction Machinery ◽  
Early Design Stage ◽  
Fmea Method

It is important to allocate a reliability goal for the hydraulic excavator in the early design stage of the new system. There are some effective methods for setting reliability target and allocating its constituent subsystems in the field of aerospace, electric, vehicles, railways, or chemical system, but until now there is no effective method for the hydraulic excavator or engineering machinery. In this paper, an approach is proposed which combines with the conventional reliability allocation methods for setting reliability goals and allocating the subsystem and parts useful in the early design stage of the hydraulic excavator newly developed. It includes Weibull analysis method, modified Aeronautical Radio Inc. (ARINC) method, and modified systematic failure mode and effect analysis (FMEA) method. After completing reliability allocation, it is necessary to organize the designers and experts to evaluate the rationality of the reliability target through FEMA analysis considering feasibility of the improvement technically for the part which was new developed or had fault in its predecessor. The proposed approach provides an easy methodology for allocate a practical reliability goal for the hydraulic excavator capturing the real life behavior of the product. It proposes a simple and unique way to capture the improvement of the subsystems or components of the hydraulic excavator. The proposed approach could be extended to consider other construction machinery equipment and have practicality value to research excellent mechanical product.

scholarly journals A New and Practical Reliability Allocation Method for a Complex System of NC Turrets

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Wei Hu ◽  
Fei Chen ◽  
Yankun Wang ◽  
Qunya Xie
Keyword(s):  
Complex System ◽  
Failure Modes ◽  
Expert Knowledge ◽  
Fault Tree ◽  
Complete Information ◽  
Design Stage ◽  
Reliability Allocation ◽  
Early Design ◽  
Early Design Stage ◽  
Allocation Method

Existing methods cannot satisfy the reliability allocation demands of the early design phase for the modern complex system of NC turrets. Motivated by the need of practical application, this paper proposes a new and practical reliability allocation method in the early design stage for NC turrets considering failure mode and system complexity, information inaccessibility, and expert knowledge limitation. First, the fault tree of a NC turret is quickly built to clear the relationship between the system’s compositions and failure modes up. Second, the happening probability of each failure event in the fault tree is firstly calculated by fuzzy expert evaluation to provide the reliability allocation with complete information. Third, by discussing the practical meaning of every layer in the fault tree, the proposed allocation strategy is within the experts’ knowledge scope for evaluating accurately. Eventually, the application result of the AK36100 A turret is presented and compared with some existing allocation methods, illustrating the rationality of the proposed allocation method.

Utilizing Kaizen process and DFSS methodology for new product development

2017 ◽  
Vol 34 (3) ◽  
pp. 378-394 ◽  
Author(s):  
Mahmoud Awad ◽  
Yassir A. Shanshal
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Real Life ◽  
New Product ◽  
Design Stage ◽  
Content Type ◽  
Early Design ◽  
Early Design Stage ◽  
Kaizen Events

Purpose The purpose of this paper is to propose a new framework for early design stage utilizing the benefits of Kaizen events, and Design for Six Sigma (DFSS) methodology. To gain a better understanding of the proposed method, a case study of a diesel engine development was presented where the proposed methodology was followed. Design/methodology/approach This paper proposes a hybrid Kaizen DFSS methodology consisting of four Kaizen milestone events with pre-work preceding these events. The events are in line with the four phases of DFSS methodology (define, characterize, optimize, and verify). Findings In order for the proposed method to succeed, few key enablers should be available such as management buy-in and support, effective resources utilization, and proper planning. However, this methodology should be utilized for key projects where criticality is high and deadlines are nearby. Practical implications As proved by two projects, one of them is presented in this paper; the use of the proposed methodology is effective and can bring significant positive changes to an organization. Originality/value Although Kaizen is an old and well-known process, it is to the best of the author’s knowledge that Kaizen has not been utilized in the early design stages of new product development projects. In this paper, a hybrid methodology combining traditional DFSS systematic approach conducted using Kaizen improvement events is proposed and supported by a real-life case study.

Identification of Human Errors During Early Design Stage Functional Failure Analysis

2018 ◽  
Author(s):  
Lukman Irshad ◽  
Salman Ahmed ◽  
Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Human Error ◽  
System Level ◽  
Design Stage ◽  
Human Factors Engineering ◽  
Human Errors ◽  
Functional Failure ◽  
Early Design ◽  
Early Design Stage ◽  
Early Design Stages

Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced FFIP (Functional Failure Identification and Propagation), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed towards the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. To explore the capabilities of the proposed method, it is applied to a hold-up tank example and the results are coupled with Digital Human Modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.

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