Increasing the Utility of Sustainability Assessment in Product Design

2012 ◽  
Author(s):  
Dane D. Eastlick ◽  
Karl R. Haapala
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Sustainability Assessment ◽  
Sustainable Manufacturing ◽  
Efficient Solutions ◽  
Decision Making Process ◽  
Design Engineers ◽  
Titanium Component ◽  
Quantitative Performance ◽  
Sustainability Assessments

Design engineers are seeking effective ways to make informed decisions regarding product sustainability. Several attempts have been made to identify sustainability metrics, assess sustainability impacts, or support decisions based on sustainability, but none fully support product designers in a way that provides for robust sustainable manufacturing decisions. Sustainability assessments can provide quantitative performance data for design variants, but in many cases, the most sustainable alternative remains uncertain. Adequate support for sustainable manufacturing activities should address each step in the decision making process with enough detail to accurately capture manufacturing impacts. The methods selected throughout the process should consider the specific needs of sustainability related issues and provide transparent, easily understood, efficient solutions. A process is outlined to assist product designers, and a demonstration of the process is given for the production of a titanium component to discuss its utility.

scholarly journals Ranking of Drivers of Sustainable Manufacturing

2020 ◽  
Vol 8 (5) ◽  
pp. 1436-1441
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Decision Model ◽  
Sustainable Manufacturing ◽  
Developing Nations ◽  
Decision Making Process ◽  
Important Criterion ◽  
Decision Variables ◽  
Vast Literature

Sustainable manufacturing is important criterion nowadays in developing nations like India. Its implementation is made almost compulsory for all types of industries for the sake of the environment. It could be better implemented if its supporting factors are used at priority instead of wasting time with other less important factors that are not worthy in the process of implementation. So, here in this paper already identified drivers of sustainable manufacturing through a vast literature review of past articles are ranked to give them priority numbers, so that these could be used at first in comparison to the lower ones in the hierarchy table for implementation of sustainable manufacturing. As the ranking of factors is a decision-making process, here we used one of the Multi-Criteria Decision Model Techniques, named as a fuzzy linguistics approach of decision making for ranking or prioritization of factor, for ranking of drivers of sustainable manufacturing. Total 13 identified drivers have first categorized in four different criteria with four different decision variables using 5 point linguistic ratings and then has been ranked, from one to thirteen as one is for most supportive driver and thirteenth as least supportive driver of sustainable manufacturing. These are suggested to various industries for implementing sustainable manufacturing an easier task for them. It might be very helpful for them.

scholarly journals A HYBRID KANSEI ENGINEERING SYSTEM USING THE SELF-ORGANIZING MAP NEURAL NETWORK

2016 ◽  
Vol 2 (1) ◽  
pp. 23-38
Author(s):  
C.S. Teh ◽  
C.P. Lim
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Product Design ◽  
The Self ◽  
Design Parameters ◽  
Decision Making Process ◽  
Engineering System ◽  
Self Organizing Map ◽  
Kansei Engineering ◽  
Self Organizing

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and the relationships with the product design decisions have been introduced in KE systems, many of the approaches are not able to incorporate human subjective feelings and preferences into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abilities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate the effectiveness of the proposed approach in developing an intelligent KE system which is able to combine human feelings and preferences into its decision making process.

Application of Multi-Criteria Decision-Making Methods in Sustainable Manufacturing Management: A Systematic Literature Review and Analysis of the Prospects

2021 ◽  
pp. 1-23
Author(s):  
Renata Pelissari ◽  
Sharfuddin Ahmed Khan ◽  
Sarah Ben-Amor
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Uncertain Data ◽  
Sustainable Manufacturing ◽  
Future Research ◽  
Decision Making Process ◽  
Multi Attribute Decision Making ◽  
Social Environmental ◽  
Cost Of Materials

Due to increasing environmental regulation and customers’ demand for environmentally friendly products, organizations have been required to adopt sustainable manufacturing practices by implementing clean technology (Cleantec) to manufacture green products. By adopting environmental practices, organizations can also achieve qualitative and quantitative benefits that help them remain competitive in the market while meeting governmental environmental policies, such as lowering energy and the cost of materials. The significant number of articles addressing sustainability in manufacturing published in the past few years attests to the importance of the topic. However, not many studies have been developed to understand the decision-making process in sustainable manufacturing. Therefore, the objective of this paper is to conduct a systematic literature review on the application of multi-attribute decision-making (MADM) methods in sustainable manufacturing. A total of 158 papers, published between 2009 and 2018, met the criteria set in the research methodology. The 158 papers were then analyzed and classified into seven categories: (i) SM domain, (ii) activity within the organization, (iii) decision goals, (iv) decision-makers involved (group or individual), (v) uncertain data, (vi) SM aspects (social, environmental, and economic), and (vii) MADM methods. Among the results, we identified that AHP is the most applied MADM method and, regarding the activities of the organization, MADM methods have been the most frequently applied to strategy management and supply chain. We also identified a tendency to consider uncertain and imprecise data in the decision-making process. Another result is that all the three domains — economic, environmental and social — were considered in most of the papers, followed by the combination of the economic and environmental perspectives. In the conclusion, some recent trends and future research directions are highlighted.

scholarly journals Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects

2021 ◽  
Vol 13 (3) ◽  
pp. 1477
Author(s):  
Hassan Hashemi ◽  
Parviz Ghoddousi ◽  
Farnad Nasirzadeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Sustainability Assessment ◽  
Highway Construction ◽  
Evaluation Process ◽  
Fuzzy Decision Making ◽  
Preference Order ◽  
Intuitionistic Fuzzy ◽  
The Stability ◽  
Sustainability Assessments

The construction industry has been criticized as being a non-sustainable industry that requires effective tools to monitor and improve its sustainability performance. The multiplicity of indicators of the three pillars of sustainability—economic, social, and environmental—complicates construction sustainability assessments for project managers. Therefore, prioritizing and selecting appropriate sustainability indicators (SIs) is essential prior to conducting a construction sustainability assessment. The main purpose of this research is to select the most appropriate set of SIs to address all three pillars of highway sustainability by a new group decision-making approach. The proposed approach accounts for risk attitudes of experts and entropy measures under a triangular intuitionistic fuzzy (TIF) environment, to handle the inherent uncertainty and vagueness that is present throughout the evaluation process. Furthermore, new separation measures and ranking scores are introduced to distinguish the preference order of SIs. Eventually, the approach is implemented in a case study of highway construction projects and the applicability of the approach is examined. To investigate the stability and validity of computational results, a sensitivity analysis is carried out and a comparison is made between the obtained ranking outcomes and the traditional decision-making methods.

scholarly journals Industrial design: latitudine e longitudine

2008 ◽  
Author(s):  
Maria Cristina Tonelli
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Professional Practice ◽  
Industrial Design ◽  
Decision Making Process ◽  
Creative Activity ◽  
Everyday Experience ◽  
The People ◽  
The World ◽  
Productive Research

The first lesson on industrial design has to address questions such as «what is industrial design?» «what are its relations with the world of production?» «in what way does it change our perception of objects?». By now the word «design» is a part of our language used – relevantly, superficially or casually – to qualify myriad aspects of everyday experience. However the semantic elasticity of the term conceals a professional practice, a decision-making process and a productive research the results of which have profoundly affected our society and our lives. A designer does not simply design an object. Through the object he or she also conditions the physical and emotional scenario of the people who use it. Just as industry does not simply offer goods, but distributes culture or non-culture through its choices of product design. Explaining what this creative activity consists of, which spheres it comprises, who are the actors and what skills are required of them, this book aims to provide critical tools and stimulate further study.

scholarly journals The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment

2018 ◽  
Vol 10 (12) ◽  
pp. 4451 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Edmundas Kazimieras Zavadskas ◽  
Payam Khazaelpour ◽  
Fausto Cavallaro
Keyword(s):  
Decision Making ◽  
Initial Phase ◽  
Sustainability Assessment ◽  
Multiple Criteria Decision Making ◽  
Multiple Attribute Decision Making ◽  
Decision Making Process ◽  
New Approach ◽  
The Past ◽  
Multiple Attribute ◽  
The Future

Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a sub-concept of MCDM. Noticeably, the importance of the decision-making process is increasingly expanding to such an extent that it necessarily blends into the undeniable processes of MADM actual models. Novel methods with different perspectives have been introduced considering the dynamic MADM concepts of time and future in classical frameworks; however, they do not overcome challenges in practice. Recently, Prospective MADM (PMADM) as a specific approach has presented future-oriented models using already known approaches of MCDM, and it has innovative items which show barriers of classic model of MADM. However, PMADM practically needs more conceptual bases to illustrate and plan the future of real decision-making problems. The Multi-Aspect Criterion is a new concept in mapping the future of the PMADM outline. In this regard, two examples of sustainability will be analyzed, and different requirements and aspects associated with PMADM will be discussed in this study. This new approach can support the PMADM outline in more detail and deal with a decision-making structure that can be considered as novel to industry experts.

scholarly journals Architectural Design: Sustainability in the Decision-Making Process

Buildings ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 135 ◽  
Author(s):  
Margarida Feria ◽  
Miguel Amado
Keyword(s):  
Decision Making ◽  
Architectural Design ◽  
Sustainability Assessment ◽  
Design Method ◽  
Building Design ◽  
Current Approach ◽  
Decision Making Process ◽  
Rigorous Evaluation ◽  
Architectural Practice ◽  
Sustainability Principles

This article discusses the potential of introducing sustainability in the architectural design method so that building solutions can contribute to sustainable development. Sustainability has introduced a new pattern to the architecture practice, which involves important modifications in the teaching of architecture in what regards to the design methods to students but also practitioners, in order to provide more comfort for present and future generations. In the design phases of the architectural design, the subject of the three pillars of sustainability—economic, social and environmental factors—are not always considered by the architect in the decision-making process. The topic involves actions that will influence the overall performance of the building throughout its lifecycle. Sustainability has not been a priority in the training of the architect. The existing tools, Sustainability Assessment and Certification Systems, although adequate to evaluate the sustainability component of a building, do not prove to be the most appropriate tool to support architects during the design process. Therefore, the implementation and evaluation of strategies that integrate the sustainability principles need to be included in the early stages of the architectural design method. In addition to collecting data through literature review, a survey was conducted among 217 architects and architecture students in order to access the need for a tool that supports architects in the issue of sustainability. The results concluded that, although all the respondents agree about what concerns the implementation of sustainability principles in the architectural design method, only few respondents guarantee that these principles are implemented by means of a rigorous evaluation. Thus, the purpose of this paper is to identify a set of guidelines that can help architects to change the current approach of architectural practice towards more sustainable strategies in building design. This means the introduction, implementation and evaluation of sustainability principles in different phases of the architectural design method. The proposal stresses the main strategies that need to be considered in each phase of the architectural project and defines a level of recommendation in each guideline that allows the architect to evaluate the implementation of sustainability.

Preliminary Design Support System Based on a Generic Under-Constraint Solving Technique

2000 ◽  
Author(s):  
Hiroyuki Sawada ◽  
Xiu-Tian Yan
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Engineering Design ◽  
Design Problem ◽  
Design Parameters ◽  
Problem Solver ◽  
Decision Making Process ◽  
Design Decision ◽  
Novel Approach ◽  
Design Support System

Abstract Engineering design is an intensive decision making process. A designer with an informative and insightful decision making support can usually produce high quality product design solutions with less or no rework. However, with current support designers very often face challenge or even difficulties as more and more design parameters come into design decision making process when a design progresses. This paper proposes a novel approach to providing designers with such a decision support by using under-constraint design problem solver. It is argued that design requirements represented in the form of Product Design Specifications (PDSs) can be converted into a set of related constraint expressions. These PDS constraint sets, which are usually incomplete, i.e., under-constrained, can then be solved by the solver to provide a designer with guided solutions for each design parameter, thus support a designer to make an informative and insightful design decision. A case study is finally presented in the paper to demonstrate how this approach is used to solve a real engineering design problem — a robotic finger system design.

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