Triple bottom line performance evaluation of reverse logistics

2016 ◽  
Vol 26 (3) ◽  
pp. 289-310 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kr Singh ◽  
Qasim Murtaza
Keyword(s):  
Performance Evaluation ◽  
Performance Measures ◽  
Analytical Hierarchy Process ◽  
Reverse Logistics ◽  
Triple Bottom Line ◽  
Fuzzy Analytical Hierarchy Process ◽  
Bottom Line ◽  
Content Type ◽  
Performance Indexes ◽  
Hierarchy Process

Purpose The paper aims to incorporate the relationship of reverse logistics into the economic, environmental, and social sustainability, known as triple bottom line and developed a framework for reverse logistics performance evaluation. Design/methodology/approach The performance measures, based on triple bottom line approach, were selected, and fuzzy analytical hierarchy process and extent analysis approach was applied for estimating the weights, global weights of performance measures and hence, the reverse logistics performance index. Reverse logistics performance of three electronic companies were evaluated and compared for the demonstration of the methodology. Findings The results show that economic performance has highest performance index followed by environmental performance and social performance. “Recapturing value” and “return on investment” from economic, “minimum energy consumption” and “optimum use of raw material” from environmental and “community complaints” and “customer health and safety” from social perspective have higher performance indexes. Over all, “reduced packaging”, “use of recycled material” and “employee benefits” show very poor performance indexes. Research Limitations/implications The study will provide useful guidance to the academicians and practitioners for evaluating, improving and benchmarking the reverse logistics performance. Originality/value The analysis adds to the very few studies on triple bottom line aspects of reverse logistics and its performance evaluation. Also, fuzzy analytical hierarchy process and extent analysis is used first time being an efficient tool to tackle the fuzziness of the data involved in performance evaluation.

Fuzzy-analytical-hierarchy process in failure mode and effect analysis (FMEA) to identify process failure in the warehouse of a cement industry

2019 ◽  
Vol 18 (2) ◽  
pp. 378-388
Author(s):  
Azmi Hassan ◽  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cement Industry ◽  
Analysis Method ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Hierarchy Process ◽  
Process Failures

Purpose This paper aims to identify and reduce possible process failures occurred in warehouse. Design/methodology/approach This research used risk analysis method FMEA combined with fuzzy-analytical hierarchy process (AHP). Design FMEA will direct the failure mode or failure of components into levels and will use it to analyze the product before it used in manufacturing processes. Design FMEA has a major point on the failure mode that caused inefficiency in the design while fuzzy-AHP used to reduce subjectivity in the weighting process. Findings The results show that high inventory is the dominant factor that must be controlled by the company to prevent the risk of failure processes in the warehouse, followed by the number of stocks that do not match with existing records, and misplacement of machines and/or materials. Originality/value This research used risk analysis method FMEA combined with fuzzy-AHP to identify and reduce the possible process failures in warehousing.

scholarly journals Integrated FAHP-FPROMETHEE for thermal insulation of masonry buildings

Facilities ◽  
2018 ◽  
Vol 36 (3/4) ◽  
pp. 195-211 ◽  
Author(s):  
Mohammed Seddiki ◽  
Karima Anouche ◽  
Amar Bennadji
Keyword(s):  
Thermal Insulation ◽  
Analytical Hierarchy Process ◽  
Current Knowledge ◽  
Preference Ranking ◽  
Masonry Buildings ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Hierarchy Process ◽  
Fuzzy Preference

Purpose The need for the thermal insulation of masonry buildings in Algeria is no longer debated. This paper aims to propose an integrated fuzzy multi-criteria decision aid method for the thermal insulation of masonry buildings to rank the thermal insulation solutions. Design/methodology/approach The proposed method combines the fuzzy analytical hierarchy process with the fuzzy preference ranking organization method for enrichment evaluation. Findings A case study using the proposed method is detailed in this paper. The building users’ preferences obtained by the fuzzy analytical hierarchy process had a higher level of consistency and accuracy. The case study demonstrates how in a highly uncertain field such as thermal insulation of masonry buildings, the fuzzy preference ranking organization method for enrichment evaluation can prevent the loss of valuable evaluation data and overcome difficulty in integrating linguistic assessments of the thermal insulation alternatives. Originality/value The proposed method extends current knowledge by using the fuzzy analytical hierarchy process to consider uncertainties regarding the building users’ preferences, and the fuzzy preference ranking organization method for enrichment evaluation to get a complete ranking of the thermal insulation solutions taking into account the uncertainties related to the alternatives’ evaluations.

A fuzzy AHP approach to prioritize the barriers of integrated Lean Six Sigma

2017 ◽  
Vol 34 (8) ◽  
pp. 1167-1185 ◽  
Author(s):  
Gunjan Yadav ◽  
Tushar N. Desai
Keyword(s):  
Analytical Hierarchy Process ◽  
Six Sigma ◽  
Design Methodology ◽  
Literature Search ◽  
Fuzzy Ahp ◽  
Lean Six Sigma ◽  
Process Approach ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Hierarchy Process

Purpose To endure against the global rivalry, various organizations are espousing several quality melioration techniques, but most of them flunk to implement them in palmiest way; hence, to surmount the failure of implementation, it is very essential to identify and prioritize the impediments of the technique to be implemented. Lean Six Sigma (LSS) has evolved as one of the most efficacious technique implemented by organizations. The purpose of this paper is to identify and prioritize the barriers of LSS for its productive implementation. Design/methodology/approach The study initiates from conducting a literature review of peer-reviewed articles concentrating on LSS barriers. The barriers are identified from literature as well as opinion from industry experts. These barriers are categorized underneath the canopy of five major criteria. The final elite barriers are prioritized and stratified by employing the fuzzy analytical hierarchy process approach. Findings The present study identifies 27 critical barriers that obturate the palmy LSS implementation. Further prioritization of these barriers will help the practitioners to develop the strategies to tackle the barriers. Research limitations/implications The LSS barriers are identified through the literature search and opinions from industry experts, while a survey can be conducted in order to incorporate more barriers related to manufacturing concerns. Originality/value The main contribution of this paper includes identification of LSS barriers and later prioritizing them to project their intensity in order to make the practitioners comfortable to handle the LSS implementation issues.

Prioritizing factors determining environmental responsibility using fuzzy analytical hierarchy process: evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aashish Garg ◽  
Ran Singh Dhaliwal ◽  
Sanjay Gupta
Keyword(s):  
Analytical Hierarchy Process ◽  
Study Data ◽  
Environmental Responsibility ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Past Behavior ◽  
Environmentally Responsible ◽  
Young Consumers ◽  
The Government ◽  
Hierarchy Process

PurposeFrom the last few decades, environmental issues have become a global concern. Consumption activities are given much attention in the marketing literature, whenever the question about protecting the environment arises. The responsibility of the consumer toward the environment is a major concern and the purpose of this study is to prioritize factors responsible for determining environmental responsibility among young consumers. This research will provide valuable insights to the marketers in targeting those particular areas which according to young consumers are highly ranked/prioritized for being environmentally responsible.Design/methodology/approachIn this study, data were collected from 400 young consumers from Punjab and Chandigarh. Fuzzy analytical hierarchy process (F-AHP) was applied to prioritize or rank the factors on the basis of significance for being environmentally responsible. The primary factors considered for further analysis were knowledge and awareness, attitude, green consumer value, emotional affinity toward nature, willingness to act and environment-related past behavior.FindingsResults of the study depicted knowledge and awareness as the highest-ranked and prioritized factor for young consumers to become environmentally responsible, while environment-related past behavior emerged as the least important factor for consumers' environmental responsibility.Research limitations/implicationsData were collected from the young consumers of Punjab and Chandigarh only and only a few factors of consumers' environmental responsibility were considered for further analysis which depicts the limitation of the study.Practical implicationsThe research study is highly useful for the government and the business firms to target the highly prioritized factors of environmental responsibility which will promote green consumption practices and behavior among young consumers.Originality/valuePrevious researches have explored the factors of environmental responsibility and modeled their relationships. However, the present study has employed the multi-criteria decision-making technique to provide valuable insights for marketers, academicians and practitioners about the drivers of consumers' environmental responsibility which adds value to the existing knowledge base.

Modeling the key barriers of knowledge management adoption in sustainable supply chain

2020 ◽  
Vol 33 (5) ◽  
pp. 1077-1109 ◽  
Author(s):  
Muhammad Nazam ◽  
Muhammad Hashim ◽  
Sajjad Ahmad Baig ◽  
Muhammad Abrar ◽  
Rizwan Shabbir
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Bullwhip Effect ◽  
Sustainable Supply Chain ◽  
Fuzzy Analytical Hierarchy Process ◽  
Food Sector ◽  
Content Type ◽  
Fuzzy Vikor ◽  
Hierarchy Process

PurposeThe food industry is crucial in delivering healthy products for life saving of the society. The identification of key barriers of knowledge management (KM) is desired to enhance the sustainability of the industry. KM has been seen as a part of sustainable development by reducing the bullwhip effect in the entire supply chain. The core objective of the existing research is to prioritize the essential factors of KM adoption in sustainable supply chain (SSC) based on fuzzy analytical hierarchy process (FAHP) method.Design/methodology/approachIn order to fulfill objectives of this study, an extensive review of literature and a questionnaire-based field visits were conducted. A total of five major barriers categories and 22 sub-barriers categories were identified in food sector of Pakistan using experts' inputs. This study employed fuzzy analytical hierarchy process (FAHP).FindingsManagerial barriers, innovation and technological barriers categories are found to be highly prioritized among others. Further, the sensitivity analysis is applied to check the incremental changes of ranked barriers. This prioritization of barriers and incremental changes in them is expected to serve food sector for long-term sustainability and competitive advantage for importers and exporters. Finally, the findings of this research are very helpful for industrial experts, practitioners, consultants and government officials in effectively developing policies regarding KM adoption in line with sustainable goals.Research limitations/implicationsThe present work is conducted in the Pakistani context; however, the benchmark model may be tested and applied to other developing countries to compare the outcomes. For further research, the identified barriers may also be evaluated to establish their inter-relationships, using ISM, DEMATEL, ANP, etc. Similarly, the results of this study can also be compared with that of other fuzzy multi-criteria techniques like fuzzy TOPSIS, fuzzy VIKOR, fuzzy ELECTRE, fuzzy PROMETHEE, or fuzzy VIKOR.Practical implicationsThis research study can facilitate policymakers, government bodies, stakeholders and supply chain professionals to recognize the key barriers they may encounter in adopting KM practices in their SSC. Additionally, this work helps managers to evaluate the identified barriers by computing their relative importance in adopting KM practices at managerial levels like strategically, tactically and operationally activities in business. This study also facilitates industrial management in formulating policies and action plans in case of implementation, eliminating the barriers in adoption of KM, and SSC successfully.Originality/valueFew research studies were conducted on KM adoption in industries of China, India, Turkey, Saudi Arabia and Malaysia, but due to workforce diversity these industries have dissimilar views of experts about KM adoption. This study significantly contributed to fill the existing literature gap for prioritization of key barriers against KM implementation in Pakistani context.

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