Application of AHP in Aerospace Configuration Management

2021 ◽  
pp. 231971452110650
Author(s):  
Suresh Kumar C. ◽  
Sini V. Pillai ◽  
Suresh Subramoniam

Aerospace products undergo frequent modifications throughout their product life cycle due to changes in requirements, technology, policy or environmental concerns. These modifications/changes are dealt with through configuration management (CM), which is a techno-managerial function. Conflicting interests of teams involved, complexity due to a long product life cycle spanning over years, R&D nature and techno-political compromises often end up in sub-optimal decisions during aerospace product development. In this article, an attempt is made to apply a scientific method to CM decision-making rather than leave it to techno-political compromises. The CM decision-making is modelled as a multi-criteria decision-making (MCDM) problem and is solved using analytic hierarchy process (AHP). As an example, the CM change proposal on propellant tank material in aerospace is taken up and solved using the model. The authors believe that results of the study will also pave way for substitute development with improved attributes, realized through advances in technologies such as nanotechnology and additive manufacturing, as mentioned in directions for future research.

Author(s):  
David E. Lee ◽  
Michel A. Melkanoff

Abstract Traditional engineering analysis of product designs has focused primarily on a product’s operational performance without considering costs of manufacturing and other stages downstream from design. In contrast, life cycle analysis of a product during its initial development can play a crucial role in determining the product’s overall life cycle cost and useful life span. This paper examines product life cycle engineering analysis - measurement of product operational performance in a life cycle context. Life cycle engineering analysis is thus considered both as an extension of traditional engineering analysis methods and as a subset of a total product life cycle analysis. The issues critical to life cycle engineering analysis are defined and include product life cycle data modeling and analysis, analysis tools and their performance regimes, performance tradeoff measurement and problems of life cycle engineering analysis in an organizational context. Recommendations are provided for future research directions into life cycle engineering analysis in the context of integration architectures for concurrent engineering.


Author(s):  
Richard H. Parr

Abstract This paper presents an approach to provide a complete Product Life-Cycle Management architecture across a virtual enterprise. Today’s worldwide marketplace requires; Teaming arrangements, Collaboration across multiple continents and time zones, Protection of corporate assets and Configuration Management of the team’s product. Each of the key building blocks will be reviewed: • Infrastructure • Legacy data • Collaboration • Product Data Management • Configuration Management • Support Management • Data Storage


Author(s):  
Sebastian K. Fixson

Product families and product platforms have been suggested as design strategies to serve heterogeneous markets via mass customization. Numerous, individual cost advantages of these strategies have been identified for various life cycle processes such as product design, manufacturing, or inventory. However, these advantages do not always occur simultaneously, and sometimes even counteract each other. To develop a better understanding of these phenomena, this paper investigates the cost implications of the underlying design decision: the product architecture choice. The investigation includes factors such as product life cycle phases, allocation rules, and cost models, all of which impact the cost analysis results. Based on this investigation, directions for future research on product architecture costing are provided.


1981 ◽  
Vol 45 (4) ◽  
pp. 109-115 ◽  
Author(s):  
David F. Midgley

Certain assumptions about the temporal patterns of consumer adoption and repeat buying behavior are derived from the literature. By means of a simulation model the impact of these assumptions on the shape of the product life cycle is assessed. Conclusions are derived in the form of propositions for future research.


2021 ◽  
Author(s):  
Chinonso Kenneth Udokporo

Originally formulated in the context of biological studies, the Life cycle (LC) concept was and now has become widely adopted as a framework for the interpretation and evaluation of phenomena that are subject to, and bound by the inevitability of change. The application of the LC concept to the development of industrial products is an important element in the administration of technological innovation. On this basis, therefore, it is referred to as the product life cycle (PLC). The concept of the PLC is used to support decision making in the management of product development. It may also be used in corporate strategy development, as well as the planning of activities and can be adapted to focus on technology deployment.


Author(s):  
Khaled Medini ◽  
Catherine Da Cunha ◽  
Alain Bernard

The paper presents a framework for the assessment of mass customization and sustainability performance of enterprises and supply chains. The assessment includes the product, process, enterprise and supply chain levels while considering the product life cycle phases. This two perspectives approach ensures a quite complete assessment and provides guidance to designers and managers during the decision making process. The framework construction and use methods are depicted in the current paper.


2012 ◽  
Vol 502 ◽  
pp. 37-42 ◽  
Author(s):  
Mikel Sorli ◽  
A. Sopelana ◽  
M. Salgado ◽  
G. Peláez ◽  
E. Ares

Companies require tools to change towards a new way of developing and producing innovative products to be manufactured considering the economic, social and environmental impact along the product life cycle. Based on translating Lean principles in Product Development (PD) from the design stage and, along the entire product life cycle, it is aimed to address both sustainability and environmental issues. The drivers of sustainable culture within a lean PD have been identified and a baseline for future research on the development of appropriate tools and techniques has been provided. This research provide industry with a framework which balance environmental and sustainable factors with lean principles to be considered and incorporated from the beginning of product design and development covering the entire product lifecycle.


2010 ◽  
Vol 132 (9) ◽  
Author(s):  
Srinivas Kota ◽  
Amaresh Chakrabarti

Life cycle assessment (LCA) is used to estimate a product’s environmental impact. Using LCA during the earlier stages of design may produce erroneous results since information available on the product’s lifecycle is typically incomplete at these stages. The resulting uncertainty must be accounted for in the decision-making process. This paper proposes a method for estimating the environmental impact of a product’s life cycle and the associated degree of uncertainty of that impact using information generated during the design process. Total impact is estimated based on aggregation of individual product life cycle processes impacts. Uncertainty estimation is based on assessing the mismatch between the information required and the information available about the product life cycle in each uncertainty category, as well as their integration. The method is evaluated using pre-defined scenarios with varying uncertainty.


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