Open AccessDissertation
A prototype knowledge based fuzzy analytic network process system for sustainable manufacturing indicator
Adam Shariff,Adli Aminuddin +1 more
- 01 Jan 2015
6
TL;DR: In this paper, a knowledge-based Fuzzy Analytic Network Process (KBFANP) system is proposed to assist the decision making process of sustainable manufacturing by developing a new indicator mechanism.
read more
Abstract: Sustainable manufacturing is a relatively new but a very complex manufacturing paradigm. The complexity arises as this paradigm covers three interdependent yet mutually supporting sustainability dimensions of economic, environmental and social. In a further step to embark on the essence of sustainable manufacturing, the development of appropriate indicators needs to be emphasized as compared to other efforts. Regrettably, the existing indicators have several drawbacks that may
hamper the accuracy of sustainability performance assessment of an organization.
As such, there are only a few standardized indicator mechanisms which can suit specific requirements of various manufacturing organizations. Hence, this study suggests a novel Knowledge-Based Fuzzy Analytic Network Process (KBFANP) system which can assist the decision making process of sustainable manufacturing by developing a new indicator mechanism. The KBFANP system comprises of four
major phases, namely Initialization, Selection, Evaluation and Prioritization. The system incorporates the advantages of Knowledge-Based System Fuzzy Set Theory and Analytic Network Process into a single unified approach as a standardized indicator, which is applicable to all types of problem setting. A prototype of
KBFANP system was developed, tested and analyzed on three experimental data sets and two real manufacturing settings. The system was able to provide solutions on the areas that need improvement with different levels of priority. This study also supports the notion of lean and green manufacturing as the elementary foundation of sustainable manufacturing implementation. The proposed KBFANP system can act as an advisory Decision Support System which is beneficial to both academia and industrial practitioners.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Posted Content
Decision Making for Sustainable Development: How Assessment Can Help
TL;DR: In this article, the authors discuss the importance of raising public awareness of environmental issues and the role that assessment processes can have in this regard, focusing on the role of environmental assessments; they provide a more formal and scientific way for information to be incorporated into policy decisions and the planning process.
References
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
28.7K
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
- 01 Jan 1985
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
16.9K
Detecting change in vague interpretations of landscapes
TL;DR: It is suggested that the mappings derived express subtle variations in land cover types and change in those types as well as in ecotones, which may be related more conclusively to an ecological process than are Boolean mappings with associated linear boundaries.
10.7K
•Book
Multiple Attribute Decision Making: Methods and Applications
Shu-Jen J. Chen,Ching-Lai Hwang,Martin J. Beckmann,Wilhelm Krelle +3 more
- 01 Mar 1981
TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
9.2K