Engineering Changes During the Service Phase

2008 ◽  
Author(s):  
Giovanna Vianello ◽  
Saeema Ahmed
Keyword(s):  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Oil Industry ◽  
Product Development Process ◽  
Engineering Change ◽  
Complex Products ◽  
Engineering Changes ◽  
Change Requests

This paper focuses upon understanding the characteristics of engineering changes, in particular changes that emerge during the service phase of complex products, and on how these changes can be related to the product development process. For this purpose, a set of engineering change reports from an aerospace engine has been analyzed and the findings have been compared with change documentation from drilling machinery for the oil industry. These findings give insights into which phases of the design process should be modified in order to reduce the number of change requests from the service phase and to enable designers to efficiently answer the unavoidable change requests. This can be used to improve the product development process in order to take into account the factors leading to changes.

Managing engineering change requirements during the product development process

2017 ◽  
Vol 26 (2) ◽  
pp. 171-186 ◽  
Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Leilei Yin ◽  
Ishfaq Hussain
Keyword(s):  
Product Development ◽  
Change Management ◽  
Development Process ◽  
Product Development Process ◽  
Engineering Change ◽  
New Approach ◽  
Engineering Change Management ◽  
Engineering Changes ◽  
Optical Mouse

Product redesign is not a straightforward task, specifically for complex commodities. Engineering change requirements can be evoked in any phase of the product development process, thus making engineering change management a challenging task. The motive of this study is to explore the best possible way of managing engineering change requirements taking execution sequence of change requirements into consideration. In this article, a new approach supporting engineering change requirements implementation sequence, by considering the risk associated with engineering changes, is presented. The risk of the redesign is hard to foresee since the engineering change effects are being dispersed from the instigating component to other associated components. In this article, the term of rework-risk is used for the amount of rework needed to be done to redesign the products’ components. The practicality of suggested method is analyzed using the redesign of an optical mouse as a case study. Managing engineering change requirements in a group with proper sequence can ensue with a 15% decrease in the redesign duration as compared with the prompt implementation of engineering change requirements. Conversely, it can also cause 36.23% increase in the redesign duration, if not handled in an appropriate sequence. The results from a single, simple case, indicates that running engineering change requirement batches can be beneficial.

Experience Design Applied to Research

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Andrea CAPRA ◽  
Ana BERGER ◽  
Daniela SZABLUK ◽  
Manuela OLIVEIRA
Keyword(s):  
Information Technology ◽  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Product Development Process ◽  
Experience Design ◽  
Low Resolution ◽  
Design Concepts ◽  
Innovative Products ◽  
Technological Products

An accurate understanding of users' needs is essential for the development of innovative products. This article presents an exploratory method of user centered research in the context of the design process of technological products, conceived from the demands of a large information technology company. The method is oriented - but not restricted - to the initial stages of the product development process, and uses low-resolution prototypes and simulations of interactions, allowing users to imagine themselves in a future context through fictitious environments and scenarios in the ambit of ideation. The method is effective in identifying the requirements of the experience related to the product’s usage and allows rapid iteration on existing assumptions and greater exploration of design concepts that emerge throughout the investigation.

System Design Analytics with Low-Fidelity Models

2021 ◽  
pp. 359-385
Author(s):  
Asko Ellman ◽  
Petter Krus
Keyword(s):  
Product Development ◽  
System Design ◽  
Design Process ◽  
Development Process ◽  
Product Development Process ◽  
Customer Requirements ◽  
Iterative Design

Establishing product requirements for the customer is usually the first step in the product development process. Indeed, identifying and fulfilling customer requirements is the key for successful product development. However, satisfying all the customer requirements is not always possible. Therefore, the best design is the design that fulfils a set of the most important customer requirements. Due to this, design process needs to be agile and iterative. Design and its requirements need to be effectively iterated.

Autogenetic Design Theory: A Contribution to an Extended Design Theory

2000 ◽  
Author(s):  
Sándor Vajna ◽  
Tibor Bercsey ◽  
Steffen Clement ◽  
Peter Mack
Keyword(s):  
Product Development ◽  
Evolutionary Algorithm ◽  
Design Process ◽  
Design Theory ◽  
Development Process ◽  
Product Development Process ◽  
Design Activity ◽  
New Approach ◽  
Development Models ◽  
Design Theories

Abstract Based on an analysis of the product development process and the study of relevant product development models, the paper presents a new approach aiming at modeling and supporting the design activity as the substantial activity within the product development process. The Autogenetic Design Theory is an approach advancing general design theories. It facilitates the integration of intuition, creativity and artificial intelligence into the conventional design process. To this end, a phase-like allocation of the design process is assumed as the essential structure and an evolutionary algorithm is integrated as the core facilitating purposeful searching and combining. Hence, the flow of the design process can be influenced as all requirements can be included and, on the other hand, intuition and creativity are ensured through the evolutionary algorithm.

Risk Reduction of Jet Engine Product Development Using Technology Readiness Metrics

2002 ◽  
Author(s):  
Jonathan K. Niemeyer ◽  
Daniel E. Whitney
Keyword(s):  
Product Development ◽  
Risk Reduction ◽  
Gas Turbine ◽  
Development Process ◽  
Gas Turbine Engine ◽  
Product Development Process ◽  
Technology Readiness ◽  
Acceptable Solution ◽  
Turbine Engine ◽  
Engineering Changes

This paper looks at the product development process as an exercise in risk reduction and performs a critical analysis of how gas turbine engine manufacturers weigh the competing risks associated with on-time delivery, product quality, and development costs. Three frameworks are used to focus the analysis: • Iteration by using multiple attempts to converge to an acceptable solution. • Maintaining options in development, and delaying convergence to a single design. • Improving the organization’s predictive capability prior to committing to a particular set of performance goals, designs, or technologies for a product. This is explored from the perspective of “technology readiness”. For six gas turbine engine development programs, case studies were performed to assess the effectiveness of the product development process by measuring how well the engine met its guaranteed level of fuel consumption. For each development program, performance against guarantees was compared against technology readiness levels (TRL) at program launch when performance was guaranteed by contract to customers, and against the degree of flexibility provided to designers to react once performance shortfalls were known. Decomposition of the engine system into sub-systems was necessary to specifically define TRL, parallel efforts, and iteration. Risk strategies were compared in light of the time sensitivity of the quality of information, the cost of engineering changes, contractual penalties, and lead times associated with implementing improvements.

A Discrete Differential Evolution Algorithm for Product Development Scheduling

2012 ◽  
Author(s):  
Sarayut Nonsiri ◽  
Eric Coatanea ◽  
Mohamed Bakhouya
Keyword(s):  
Product Development ◽  
Differential Evolution ◽  
Design Process ◽  
Development Process ◽  
Research Work ◽  
Differential Evolution Algorithm ◽  
Product Development Process ◽  
Effective Manner ◽  
Design Activities ◽  
Discrete Differential Evolution

The scheduling of the design activities in product development process is a crucial step in early stages in order to achieve the project in time and cost-effective manner. In complex product development process, many dependency relationships or feedback loop could exist between design activities with multiple technical domains. Sequencing the design activities is a decision making process in order to reduce these feedback loops, and therefore, reduce amount of required information flows between activities. In recent years, methods for sequencing the design activities in design process have been proposed in order to reduce lead-time development and cost. The purpose of this research work is to present a methodology for design process sequencing in product development project by using Design Structure Matrix (DSM) for visualization a complex process and Discrete Differential Evolution (DDE) for sequencing the design tasks. The tests performed in this article have shown that this approach provides very competitive results in term of the quality of obtained solutions when compared to Genetic algorithms (GA). In additional it is a simple, effective and easy to use since the amount of control parameters to set is reduced.

Benchmarking Within the Product Development Process

1995 ◽  
Author(s):  
David G. Meeker ◽  
Anna C. Thornton
Keyword(s):  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Rich Source ◽  
Product Development Process ◽  
Design Information ◽  
Detail Design ◽  
Market Trends ◽  
Design Solutions ◽  
Novel Design

Abstract One cannot design in a vacuum; the goodness of a product is almost always (except in the case of a novel design) measured with respect to an existing design. It is logical, therefore, to have a design process that takes competitors into account. Competitor’s hardware is a rich source of design information providing concept and design solutions, current market trends, cost and quality drivers, missing functionality and unwanted functionality. This paper presents a methodology to systematically evaluate existing designs using a process called benchmarking. In addition, a methodology for incorporating the benchmark information into the specification, concept, embodiment, detail design phases of the product development process is described.

A New Strategy for Automating the Generation of Product Family Members and Artifacts Applied to an Aerospace Application

2003 ◽  
Author(s):  
Gregory M. Roach ◽  
Jordan J. Cox ◽  
Jared M. Young
Keyword(s):  
Product Development ◽  
Product Design ◽  
Development Strategy ◽  
New Product Development ◽  
Design Process ◽  
Cycle Time ◽  
Development Process ◽  
Parametric Models ◽  
Product Development Process ◽  
New Strategy

A major challenge in industry today is to reduce the cost and cycle time in product development while maintaining enough flexibility to adapt to changing markets. Businesses are requiring more and more flexibility in order to produce custom goods at low cost. A new strategy called the Product Design Generator is presented to provide flexible product platforms through an automated design process where product variation is built into the product development process and is achieved through scalable and in some instances modular parametric models for a given product platform embodiment. A case study of web-based Product Design Generator is presented. The axial turbine disk Product Design Generator demonstrated cycle time reduction from 500 man hours to 15 minutes. This new product development strategy has demonstrated the potential to provide engineers the ability to study more potential design solutions, reduce the number of opportunities to introduce error in the product development process, and allows companies to apply a consistent design process across the organization.

From Customer Requirements to Detailed Design: How Do Product Data Change?

2018 ◽  
Author(s):  
Marco Rossoni ◽  
Giorgio Colombo ◽  
Luca Bergonzi
Keyword(s):  
Product Development ◽  
Product Design ◽  
Design Process ◽  
Development Process ◽  
Digital Data ◽  
Product Development Process ◽  
Product Data ◽  
Virtual Tools ◽  
Current Trends ◽  
Product Design Process

Current trends in product development process highlight the increasing adoption of digital data and virtual processes. Nowadays, a huge amount of product data are collected without a clear management strategy and, oftentimes, they dont even cover the whole product development process. A global and integrated planning about information needed to sustain product design process is not a trivial task and, usually, companies underrates this issue. From the perspective of virtualization of processes, and then their automation, the lack of structured knowledge is certainly awful. This paper aims at making a critical analysis how product data evolve throughout the product design or configuration process and how they impact the product development activities. Efficient digital product twin allows companies to virtualize processes and leverage their automation, but it is important to understand how the knowledge management should be carried out. Three case studies, directly experienced by the authors, have been investigated analyzing digital data and virtual tools that allow companies to automate the design process, each one bringing a peculiar perspective of the problem.

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