Case Studies to Understand the Relations Among Function, Form and Manufacturing Process for Integration of Process Planning Into Early Design Stage

1999 ◽  
Author(s):  
Yong Se Kim ◽  
Shaw C. Feng
Keyword(s):  
Case Studies ◽  
Process Planning ◽  
Design Stage ◽  
Manufacturing Processes ◽  
Functional Requirements ◽  
Process Selection ◽  
Early Assessment ◽  
Early Design ◽  
Early Design Stage ◽  
Computer Based

Abstract Design and manufacturing integration at the early design stage in product development, that is, the integration of conceptual design and conceptual process planning, may make a big impact. Thus the development of systematic computer-based support for this integration is desirable. To select and evaluate manufacturing processes, some aspects of form information is necessary. Thus when only the functionally critical forms have been determined from major functional requirements, synthesis of the configuration shape in a generic form would enable early assessment of manufacturing, processes. As a stepping stone toward the development of the configuration shape synthesis and process selection, case studies have been conducted using real world industrial parts. In this paper, we present the case studies using a planet carrier and a gear box housing, and discuss the issues in development of the shape synthesis and process selection method to support the design and process planning integration.

Early design-stage biorefinery process selection

TAPPI Journal ◽  
2012 ◽  
Vol 11 (11) ◽  
pp. 9-16 ◽  
Author(s):  
MANUEL ANDRES QUINTERO-BERMUDEZ ◽  
MATTY JANSSEN ◽  
JÉRÉMIE COHEN ◽  
PAUL STUART
Keyword(s):  
Paper Industry ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Pulp And Paper ◽  
Decision Makers ◽  
Design Stage ◽  
Forest Industry ◽  
Process Selection ◽  
Early Design ◽  
Early Design Stage

A methodology for early design-stage evaluation of biorefinery processes that uses multicriteria decision-making (MCDM) panels was developed with the goal of screening out less promising options. Panel members were asked to rate the relative importance of a set of evaluation criteria for biorefinery process implementation at a pulp and paper mill. Three different panels were conducted, each with this same objective. This report compares and assesses the results from the panels. Two of the MCDM panels were comprised of biorefinery specialists of similar backgrounds from government and academia, and the third panel consisted of pulp and paper industry decision makers. In general, consensus was high between all three panels, and especially between the two biorefinery specialist panels; however, certain differences were noted with the industry panel. For three out of eight criteria, these differences were attributable to a difference in the perspective of the forest industry decision makers and biorefinery specialists. For example, for the return on investment criteria, the specialist panels gave a significantly higher importance to current information from technology suppliers because it provides an important short-term perspective. In contrast, the forest industry decision makers thought that information about a particular technology should be critiqued and adjusted based on a systematic assessment of likely future process performance. Differences between the other criteria were attributed to differing interpretations of the criteria.

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.

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.

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