Life-Cycle Clumping of Product Designs for Ownership and Retirement

1993 ◽  
Author(s):  
Matthew D. Marks ◽  
Charles F. Eubanks ◽  
Kos Ishii
Keyword(s):  
Life Cycle ◽  
Mechanical Systems ◽  
Design Strategy ◽  
Assessment Methods ◽  
Physical Relationship ◽  
User Intent ◽  
Material Compatibility ◽  
Product Value ◽  
Computer Based

Abstract This paper describes a design strategy for mechanical systems called clumping and its effect on product value during the ownership and retirement phases of its life-cycle. A “clump” is a collection of components and/or subassemblies that share a physical relationship and some common characteristic based upon user intent. Clumping for product ownership values, i.e. reliability and serviceability, aims to increase component accessibility. Clumping for product retirement issues, i.e. reuse, recycling, and disposal, seeks to form aggregations of components for material compatibility, thus decreasing disassembly cost. This paper gives a detailed description of life-cycle ownership and retirement assessment methods and how they can be adapted into an existing computer-based design aid. A refrigerator in-door ice dispenser serves as an illustrative example.

scholarly journals Incorporating Uncertainty in Diagnostic Analysis of Mechanical Systems

2002 ◽  
Author(s):  
Gregory Mocko ◽  
Robert Paasch
Keyword(s):  
Life Cycle ◽  
Failure Modes ◽  
Mechanical Systems ◽  
Fault Tree Analysis ◽  
Joint Probability ◽  
Fault Isolation ◽  
Diagnostic Model ◽  
Component Reliability ◽  
Bayes Formula ◽  
Alternative Designs

The increase in complexity of modern mechanical systems can often lead to systems that are difficult to diagnose, and therefore require a great deal of time and money to return to a normal operating condition. Analyzing mechanical systems during the product development stages can lead to systems optimized in the area of diagnosability, and therefore to a reduction of life cycle costs for both consumers and manufacturers and an increase in the useable life of the system. A methodology for diagnostic evaluation of mechanical systems incorporating indication uncertainty is presented. First, Bayes formula is used in conjunction with information extracted from the Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), component reliability, and prior system knowledge to construct the Component-Indication Joint Probability Matrix (CIJPM). The CIJPM, which consists of joint probabilities of all mutually exclusive diagnostic events, provides a diagnostic model of the system. The Replacement Matrix is constructed by applying a predetermined replacement criterion to the CIJPM. Diagnosability metrics are extracted from a Replacement Probability Matrix, computed by multiplying the transpose of the Replacement Matrix by the CIJPM. These metrics are useful for comparing alternative designs and addressing diagnostic problems of the system, to the component and indication level. Additionally, the metrics can be used to predict cost associated with fault isolation over the life cycle of the system.

scholarly journals Adequate BIM level of detail for LCA energy simulation

2021 ◽  
Author(s):  
◽  
Philip Penn
Keyword(s):  
Life Cycle ◽  
Life Cycle Analysis ◽  
Research Problem ◽  
Analysis Tool ◽  
Virtual Model ◽  
Input Material ◽  
Computer Based ◽  
Residential House ◽  
House Design ◽  
Support Decision Making

<p>This research tested the new LCAQuick Residential, a computer-based analysis tool developed by BRANZ (available from www.branz.co.nz). This tool is designed to allow the ready preparation of a LCA at an early point in the design process for a residential house. The research problem was created by the infancy of the program and its unknown ability to produce results to support decision making to include Life Cycle Analysis (LCA) for designers and developers seeking a more sustainable design outcome.  The method of testing was to take a real house design and model it using Autodesk Revit™ to create a virtual model. The virtual model was then used to input material quantities into LCAQuick Residential, which in turn generated a full set of Life-Cycle Energy (LCE) data. To test this approach, the data from a Quantity Surveyor (Schedule of Quantities) was also used as input to LCAQuick Residential, and the results compared. For this research on the energy component of LCA was examined – the LCE.  It was found that the material quantities generated by each of the approaches differed, and it was necessary to critically compare them to ensure material volumes, density and quantity were appropriately matched and entered into the tool. Considerable care was also required to ensure materials were correctly identified and allocated to the appropriate LCAQuick library material.</p>

Life cycle assessment: methods, limitations, and illustrations

2021 ◽  
pp. 105-118
Author(s):  
Sara Toniolo ◽  
Lorenzo Borsoi ◽  
Daniela Camana
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Assessment Methods

The pigmeat supply chain: pre-assessment for a Life Cycle Inventory

2009 ◽  
Vol 2009 ◽  
pp. 126-126
Author(s):  
R Olea ◽  
J H Guy ◽  
H Edge ◽  
S A Edwards
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Life Cycle Inventory ◽  
Life Cycle Analysis ◽  
Assessment Method ◽  
Assessment Methods ◽  
Previous Experience ◽  
Environmental Burdens

Formulating the inventory of relevant commodities to assess the life cycle of goods or services (LCI) is highly demanding on time and resources (Suh et al., 2004). Collected information is not always satisfactory to take account of all possible sources of environmental burdens (E-burdens) produced in the commodity supply chain. Several pre-assessment methods have been proposed to serve this function, although these have identified limitations; lack of previous experience and use of subjective cut off criteria are the most frequent weaknesses found (Suh, 2006). An objective pre-assessment method was developed as part of a life cycle analysis (LCA) for different pigmeat supply chain (PSC) scenarios.

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