Analyzing barriers for the adoption of circular economy in the manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gaurav Kumar Badhotiya ◽  
Shwetank Avikal ◽  
Gunjan Soni ◽  
Neeraj Sengar
Keyword(s):  
Circular Economy ◽  
Manufacturing Sector ◽  
Pairwise Comparison ◽  
Government Support ◽  
Business Managers ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Environmental Criteria ◽  
Operational Activities ◽  
Analytic Hierarchy Process Method

PurposeThe operational activities of manufacturing organizations are continuously degrading the environment. Circular economy adoption can help industries optimize their resources along with minimal waste generation. The purpose of this study is to identify and analyze the barriers that hinder the adoption of circular economy (CE) in the manufacturing sector.Design/methodology/approachThe barriers are extracted from a critical review of the literature and listed into three categories as social, economic and environmental. The barriers in each category are then analyzed using the fuzzy-based analytic hierarchy process method. The approach is capable to consider the fuzziness in the preference of barriers and determine their priority.FindingsThe pairwise comparison and weight of all the main and sub-criteria are computed, which helps in deciding the ranking of barriers. The results show that social criteria are having the highest importance followed by economic and environmental criteria. Among all the sub-criteria, low demand and acceptance of remanufactured products is at the highest level followed by lack of government support and legislation barrier.Originality/valueThe outcome of this study would be helpful for the decision makers and business managers in the manufacturing sector to focus on the barriers in each category and accordingly formulate strategies for CE adoption.

Identification and prioritization of corporate sustainability practices using analytical hierarchy process

2015 ◽  
Vol 10 (1) ◽  
pp. 23-49 ◽  
Author(s):  
Praveen Goyal ◽  
Zillur Rahman ◽  
Absar Ahmad Kazmi
Keyword(s):  
Manufacturing Sector ◽  
Corporate Sustainability ◽  
Pollution Prevention ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Scarce Resources ◽  
Sustainability Performance ◽  
Corporate Sustainability Performance ◽  
Sustainability Practices ◽  
Hierarchy Process

Purpose – The purpose of this paper is to identify and prioritize the corporate sustainability practices to improve the corporate sustainability performance in the manufacturing sector. Further, these practices are being prioritized to find out the essential practices to ensure logical allocation of limited resources. Design/methodology/approach – It examines the corporate sustainability practices which have been shortlisted from both the literature review and experts judgment. Then, analytic hierarchy process has been used to assess the identified 12 practices of corporate sustainability and to find their priorities for improvement of the corporate sustainability performance. Findings – Based on the hierarchical model developed in this study, the analysis reveals market value, environment management and strategy, research and development, pollution prevention, corporate governance and investor responsibility, which have been found to be the most important practices in improving the corporate sustainability performance. Practical implications – The findings of the study would be useful to the practitioners in the proper allocation of scarce resources to optimize the corporate sustainability performance of firms, especially the manufacturing entities. Originality/value – It is a fact that multi-faceted nature of corporate sustainability includes both subjective and objective dimensions. Therefore, prioritization of corporate sustainability at the factor level is one of the important contributions to the literature that has been addressed in the present study. The results of this paper may be generalized to the other sectors.

Integration of AHP-QFD for selecting facility location

2015 ◽  
Vol 22 (3) ◽  
pp. 411-425 ◽  
Author(s):  
Rajesh Chadawada ◽  
Ahmad Sarfaraz ◽  
Kouroush Jenab ◽  
Hamid Pourmohammadi
Keyword(s):  
Facility Location ◽  
Solution Process ◽  
Pairwise Comparison ◽  
Integrated Approach ◽  
Point Of View ◽  
Location Problems ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Facility Location Problems ◽  
Managerial Experience

Purpose – The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process. Design/methodology/approach – The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion. Findings – Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems. Originality/value – The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

scholarly journals PENERAPAN METODE FUZZY AHP DALAM PENENTUAN SEKTOR YANG BERPENGARUH TERHADAP PEREKONOMIAN PROVINSI BALI

2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Manufacturing Industry ◽  
Fuzzy Ahp ◽  
Weighted Average ◽  
Pairwise Comparison ◽  
Primary Group ◽  
Tertiary Sector ◽  
Analytic Hierarchy ◽  
Consistency Ratio ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.

A novel MCDM model for prioritizing the renewable power plants’ construction

2019 ◽  
Vol 30 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Fatima Sedady ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Power Plants ◽  
Environmental Aspects ◽  
Tidal Power ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Renewable Power ◽  
Comparison Results ◽  
Criteria Weights ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose The purpose of this paper is to propose a new multi-criteria decision making (MCDM) technique to determine the priority of renewable power plants construction conceding technical, economic, social, political and environmental aspects. Design/methodology/approach First, a comprehensive set of 5 main criteria of technical, economic, social, political and environmental are considered for renewable power plants construction, each including 5 sub-criteria (a total of 25 sub-criteria). Then, the analytic hierarchy process method is used to determine the weight of the criteria. Finally, a new MCDM technique proposed to prioritize the construction of renewable power plants, named TOPKOR. To demonstrate the capability of the proposed method, a case study is conducted in which six types of renewable power plants are evaluated. Findings Comparison results of the main criteria weights show that the “economic” [0.403], “environmental” [0.296] and “technical” [0.17] aspects have the highest importance, respectively. The results also show that solar, hydroelectric and wave and tidal power plants have the highest priority for construction, respectively. Research limitations/implications The result of this research could be useful for related decision makers in construction of the renewable power plants to have a comprehensive set of criteria in technical, economic, social, political and environmental aspects in their decision process. Originality/value This research provides a comprehensive set of criteria and sub-criteria for prioritizing the renewable power plants. Moreover, a new hybrid MCDM technique is introduced for prioritizing the construction of power plants.

Strategies to enhance intergenerational learning and reducing knowledge loss

VINE ◽  
2015 ◽  
Vol 45 (4) ◽  
pp. 551-567 ◽  
Author(s):  
Constantin Bratianu ◽  
Ramona Diana Leon
Keyword(s):  
Integrated Approach ◽  
Intergenerational Learning ◽  
Aging Workforce ◽  
Analytic Hierarchy ◽  
Knowledge Loss ◽  
Content Type ◽  
Workforce Aging ◽  
Nested Structure ◽  
Aging Phenomenon ◽  
Analytic Hierarchy Process Method

Purpose – The purpose of this paper is to identify and analyze the main strategies used in organizations to enhance intergenerational learning (IGL) and reduce knowledge loss. The emphasis is on universities that have an age layered or nested structure. Design/methodology/approach – The research is based on an integrated approach of literature search, content analysis, survey based on interviews and questionnaires and the analytic hierarchy process method. The research questions are as follows: What is the level of awareness in organizations about knowledge loss and the role of IGL in reducing its consequences? What kind of organizational structure is adequate for promoting IGL? What are the most suitable strategies for enhancing IGL and reducing knowledge loss? Findings – Universities have a nested generational structure, which makes them adequate for IGL. The most used strategies for enhancing IGL are mentoring, intergenerational research teams and intergenerational creativity workshops. Research limitations/implications – Empirical investigations covered only four universities. Research should be extended to a larger number of universities and also to companies. Practical implications – Findings are valuable for organizations having an aging workforce and which want to reduce knowledge loss through the IGL process. Originality/value – The study provides an insight look of how organizations experiencing a workforce aging phenomenon can enhance IGL to reduce knowledge loss.

Assessment and selection of psychological attributes: design team perspectives

2016 ◽  
Vol 14 (4) ◽  
pp. 874-896 ◽  
Author(s):  
Shailendra Kumar
Keyword(s):  
Engineering Design ◽  
Mechanical Systems ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Psychological Attributes ◽  
Team Environment ◽  
Analytic Hierarchy Process Method ◽  
Maintenance Personnel ◽  
Hierarchy Process ◽  
Selection Of

Purpose The purpose of this paper is to bridge the gap between physical and metaphysical entities in the context of product/system design. The paper talks about the grey area of human psychology and presents a theoretical framework for the identification and selection of psychological attributes for designers. Design/methodology/approach On the basis of a literature review, this paper identifies various psychological attributes affecting the performance of designers in a team environment and then analyses the same. Findings The paper talks about a new shift in engineering design and designs for maintainability of mechanical systems. Practical implications A procedure based on the analytic hierarchy process method is applied. The developed procedure is useful in the assessment and selection of coveted psychological attributes for personnel in general and for designers in particular. Originality/value The paper highlights the immense role of psychology in engineering design, especially in the design for maintainability of mechanical systems. The paper will be useful to researchers, designers, maintenance personnel and professionals from the domain of engineering design, irrespective of their field of application. This paper is equally useful for human resource and management professionals/researchers.

Finite element analysis of layered, variable density, ball bearings based on pearl and turtle shell bionic structures

2020 ◽  
Vol 72 (6) ◽  
pp. 779-787
Author(s):  
Jing Hu ◽  
Qiong-Ying Lv ◽  
Xin-Ming Zhang ◽  
Zeng-Yan Wei ◽  
Hai Long Li
Keyword(s):  
Finite Element ◽  
Peer Review ◽  
Variable Density ◽  
Ball Bearings ◽  
The Finite Element Method ◽  
Analytic Hierarchy ◽  
Element Analysis ◽  
Content Type ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose This paper aims to present ball bearings with a composite structure based on the bionics principle and shows the comparison between five types of different structures. Design/methodology/approach By means of the finite element method, the stress and other parameters between different structures are compared and verified. Finally, the comprehensive parameters of different structures are evaluated by the analytic hierarchy process method. Findings The evaluation of the comprehensive parameters of five types of structures is shown here. Originality/value The value of this paper is calculated and compared to the parameters of five types of different structures, and the parameter score evaluation of each structure is given. Different structures can be selected according to different parameter requirements, which to provide a theoretical basis for the design of ball bearings. Peer review The peer review history for this article is available at: https://publons.com/publon10.1108/ILT-10-2019-0413

In pursuit of an environmentally friendly convention industry

2017 ◽  
Vol 29 (3) ◽  
pp. 1028-1051 ◽  
Author(s):  
Hyo-Yeun Park ◽  
Dae-Kwan Kim
Keyword(s):  
Evaluation Framework ◽  
Socially Responsible ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Environmentally Sustainable ◽  
Managerial Implications ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Sustainability Framework ◽  
Convention Industry

Purpose This paper aims to systematically develop a sustainability framework and guidelines for the green convention industry to cover the entire process of hosting a convention. Design/methodology/approach The guidelines were designed in three phases: defining a sustainability framework for a green convention, conducting a three-round Delphi survey and developing comprehensive guidelines. The relative weights and/or importance were calculated and compared based on questionnaires and the analytic hierarchy process method. Findings This study summarized 153 sustainable practices and their relative importance (seven categories and 37 subcategories) to suggest future directions and managerial implications for academia and practitioners to cope with negative environmental impacts and to create an environmentally sustainable convention industry. Research limitations/implications Because the proposed framework and guidelines were developed in a particular environment, their applicability might be improved by further review prior to translating them into another context. Practical implications This study provides implications to help practitioners plan and execute events in more environmentally and socially responsible ways. Practitioners may use the proposed guidelines, either as a whole or in part, to select the areas that are most applicable or in need of attention. Additionally, the guidelines may be used as an evaluation framework after hosting a convention to indicate specific ways to reduce harmful environmental practices and the importance of each practice. Originality/value The proposed sustainability framework and guidelines consider all aspects of the convention industry, including all possible aspects of stakeholders that may affect convention organizers and participants, as well as related industries.

Use of AHP in decision-making for machine tool configurations

2016 ◽  
Vol 27 (6) ◽  
pp. 874-888 ◽  
Author(s):  
Uday Hameed Farhan ◽  
Majid Tolouei-Rad ◽  
Adam Osseiran
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Assessment Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Four Levels ◽  
Time Required ◽  
Hierarchy Process ◽  
Selection Of

Purpose The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

Sign in / Sign up

Export Citation Format

Share Document