scholarly journals Identifying Critical Indicators In Sustainable Manufacturing Using Analytic Hierarchy Process (AHP)

2015 ◽  
Vol 14 (3-4) ◽  
Author(s):  
Lanndon Ocampo ◽  
Van Gaitano Vergara ◽  
Carlito Impas ◽  
Jose Arvin Tordillo ◽  
Joey Pastoril
Keyword(s):  
Analytic Hierarchy Process ◽  
Policy Development ◽  
Sustainability Assessment ◽  
Sustainable Manufacturing ◽  
Bottom Line ◽  
Analytic Hierarchy ◽  
Firm Level ◽  
The Us ◽  
The Hierarchical Structure ◽  
Hierarchy Process

<p class="Els-Abstract-text"><span lang="EN-US">This paper identifies critical indicators for sustainable manufacturing that could be adopted in sustainability assessment at firm level. Previous works in literature suffered from either lack of being comprehensive or being operational or both. The manufacturing indicator set of the US NIST framework was used because of its detailed and wide-ranging exposition of the triple-bottom line. The proposed approach is to attach priorities on the elements of the NIST framework in order to prioritize sustainability indicators. Following the hierarchical structure of the framework, analytic hierarchy process (AHP) was adopted in this work. Three domain decision-makers who have sufficient international exposure on manufacturing policy development and experience in managing manufacturing firms were asked to elucidate judgments on the elements of the framework based on the context of the AHP. The most critical indicators in sustainable manufacturing are presented in this work. Results show that socio-economic indicators are highly relevant in sustainable manufacturing.</span></p>

scholarly journals A Proposed Framework in Developing Sustainable Manufacturing Initiatives Using Analytic Hierarchy Process (AHP)

2015 ◽  
Vol 3 (1) ◽  
pp. 7-16
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Sustainable Manufacturing ◽  
Sustainability Indicators ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Firm Level ◽  
The Us ◽  
The Hierarchical Structure ◽  
Hierarchy Process

This paper proposes an evaluation framework of input elements in developing sustainable manufacturing (SM) initiatives using the hierarchical structure of sustainability indicators set developed by the US National Institute of Standards and Technology (US NIST) and the analytic hierarchy process (AHP). Determining priority input elements in the development process is essential to ensure that SM initiatives are responsive to the demands of sustainability at firm level. This evaluation exposes a challenge due to the multi-criteria nature of the problem and the presence of subjective criteria with limited available information on their measurement systems. The use of AHP in the context of the hierarchical structure of the US NIST sustainability indicators set provides a comprehensive and promising approach in identifying fundamental inputs in developing effective programs and initiatives that address sustainability. The contribution of this work lies on presenting a framework that could guide decision-makers, in a way that is simple and comprehensive, in their attempt to promote sustainability. Results and implications are reported in this work.

scholarly journals Research on maintenance method of relay protection state based on combination weight and gray relation

2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Weight Calculation ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

CRITICAL SUCCESS FACTORS OF SIX-SIGMA IMPLEMENTATION: AN ANALYTIC HIERARCHY PROCESS BASED STUDY

2006 ◽  
Vol 03 (03) ◽  
pp. 303-319 ◽  
Author(s):  
TRITOS LAOSIRIHONGTHONG ◽  
SHAMS-UR RAHMAN ◽  
KHAMMEE SAYKHUN
Keyword(s):  
Analytic Hierarchy Process ◽  
Six Sigma ◽  
Critical Success Factors ◽  
Success Factors ◽  
Strategy Development ◽  
Bottom Line ◽  
Analytic Hierarchy ◽  
Critical Success ◽  
Priority Weights ◽  
Hierarchy Process

Six-Sigma is a well-established and one of the most recognized approaches in manufacturing strategy development. Companies who have adopted and successfully implemented such a methodology were found to be more innovative which led to increased customer satisfaction and an improved bottom line. The aim of this study is to identify factors for successful Six-Sigma implementation by using the Analytic Hierarchy Process (AHP). The study involves four phases, which include: (1) assessment of potential factors and performance measures in Six-Sigma implementation (2) development of the problem structure and building the AHP model (3) soliciting and compilation of opinion on preferences through expert interviews, and (4) determination of critical success factors. Twenty-one experts, consisting of three-project champions and eighteen-black belts from five multinational companies located in Thailand, were interviewed. Expert Choice® software was used to compute the normalized and unique priority weights. The results of the data analysis determined the relative importance of individual factors, and in turn identified the critical factors on which organizations should consolidate their efforts in the process of implementing Six-Sigma methodology.

scholarly journals Comparison of AHP and a Utility-Based Theory Method for Selected Vertical and Horizontal Forest Structure Indicators in the Sustainability Assessment of Forest Management in the Sierra de Guadarrama National Park, Madrid Region

2018 ◽  
Vol 10 (11) ◽  
pp. 4101 ◽  
Author(s):  
Susana Martín-Fernández ◽  
Adrián Gómez-Serrano ◽  
Eugenio Martínez-Falero ◽  
Cristina Pascual
Keyword(s):  
Forest Management ◽  
Analytic Hierarchy Process ◽  
National Park ◽  
Utility Theory ◽  
Sustainability Assessment ◽  
Local Level ◽  
Pairwise Comparison ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

This paper compares two pairwise comparison methods, the analytic hierarchy process (AHP) and a utility theory based method (UTB method), for sustainability assessment in forest management at the local level. Six alternatives were ranked, corresponding to six different types of forest management in the Sierra de Guadarrama National Park in the Madrid Region in Spain. The methods were tested by postgraduate students enrolled in a “Decision Support Systems” course at Universidad Politécnica de Madrid. Three sustainability indicators were considered: structural diversity, timber yield, and amount of biomass. The utility theory based method was the first to be compared, which is implemented in the computer program SILVANET. For each pair of alternatives, the students were asked which one they considered to be more sustainable. In the case of the Analytic Hierarchy Process, the students compared the indicators and the alternatives for each indicator. The Spearman’s correlation coefficient indicated that there was no correlation between the rankings for most of the students. The results revealed that the convergence in opinion in the AHP method was higher than in the utility based method for a low number of participants, and distinguished the differences between the alternatives more accurately. However in the case of the UTB method, the participants considered sustainability as a whole and made a more context-based comparison.

Partner Choice of Iron and Steel Logistics Alliance Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 424-425 ◽  
pp. 119-122
Author(s):  
Yu Ran Jin ◽  
Yan Yan Zou ◽  
Ya Dong Wang ◽  
Shan Gao
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Partner Choice ◽  
Fuzzy Synthetic Evaluation ◽  
Analytic Hierarchy ◽  
Iron And Steel ◽  
Logistics Company ◽  
The Hierarchical Structure ◽  
Hierarchy Process ◽  
Synthetic Evaluation

To solve the problem of partnership choice for iron and steel logistics alliance, a method to choose cooperative partners based on Analytic Hierarchy Process and Fuzzy Synthetic Evaluation was proposed. AHP was used to construct the hierarchical structure of partner evaluating indicator and determine the corresponding weight. Fuzzy Synthetic Evaluation was adopted to assess and choose partners. For verifying the method, a logistics company was analyzed as an example. The results show that this method may reduce the influence of subjective factors on the partner choice, enhance the accuracy and reliability of partner choice, and strengthen the competitiveness of iron and steel logistics alliance.

scholarly journals Developing a Landscape Sustainability Assessment Model Using an Analytic Hierarchy Process in Korea

2019 ◽  
Vol 12 (1) ◽  
pp. 301 ◽  
Author(s):  
Hyung-Sook Lee ◽  
Eun-Yeong Park
Keyword(s):  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Sustainability Assessment ◽  
Green Building ◽  
Assessment Model ◽  
Rating System ◽  
Extensive Literature ◽  
Landscape Sustainability ◽  
Analytic Hierarchy ◽  
Hierarchy Process

With the increasing interest in integrative sustainable development, there has been a strong need for a landscape sustainability assessment tool independent from the existing green building rating system. This study aimed to establish an assessment model to objectively evaluate landscape sustainability using an analytic hierarchy process (AHP). Through an extensive literature review and expert survey, an initial list of assessment items was derived and used to set up an AHP model. An AHP survey with landscape architects and architects/engineers was then conducted to determine the importance of the assessment factors. In addition, the model was applied to three projects that were previously certified by a green building rating system in Korea. The AHP results showed that “site context” ranked as the most important factor of landscape sustainability followed by “soil and vegetation,” “maintenance,” “water,” “health and wellbeing,” and “materials.” Among the 20 assessment factors, “monitoring plan” was evaluated as the most important index, followed by “protection of cultural heritage” and “long-term management plan.” Landscape architects evaluated “soil and vegetation” as the most important in the assessment, while the engineers/architects group rated “site context” as the most important. When tested by applying them to the previously certified projects, the developed factors provided more objective and detailed information on landscape sustainability.

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