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Article
Publication date: 30 April 2021

Zeki Ayağ

In this paper, the four popular multiple-criteria decision-making (MCDM) methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the…

Abstract

Purpose

In this paper, the four popular multiple-criteria decision-making (MCDM) methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the judgments of decision-makers (DMs), because the crisp pairwise comparison in these conventional MCDM methods seems to be insufficient and imprecise to capture the right judgments of DMs. Of these methods, as Fuzzy analytic hierarchy process (F-AHP) is used to calculate criteria weights, the other methods; Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), Fuzzy Grey relational analysis (F-GRA) and Fuzzy Preference Ranking Organization METhod for Enrichment of Evaluations (F- PROMETHEE II) are used to rank alternatives in the three different ways for a comparative study.

Design/methodology/approach

The demand for green products has dramatically increased because the importance and public awareness of the preservation of natural environment was taken into consideration much more in the last two decades. As a result of this, especially manufacturing companies have been forced to design more green products, resulting in a problem of how they incorporate environmental issues into their design and evaluate concept options. The need for the practical decision-making tools to address this problem is rapidly evolving since the problem turns into an MCDM problem in the presence of a set of green concept alternatives and criteria.

Findings

The incorporation of fuzzy set theory into these methods is discussed on a real-life case study, and a comparative analysis is done by using its numerical results in which the three fuzzy-based methods reveal the same outcomes (or rankings), while F-GRA requires less computational steps. Moreover, more detailed analyses on the numerical results of the case study are completed on the normalization methods, distance metrics, aggregation functions, defuzzification methods and other issues.

Research limitations/implications

The designing and manufacturing environmental-friendly products in a product design process has been a vital issue for many companies which take care of reflecting environmental issues into their product design and meeting standards of recent green guidelines. These companies have utilized these guidelines by following special procedures at the design phase. Along the design process consisting of various steps, the environmental issues have been considered an important factor in the end-of-life of products since it can reduce the impact on the nature. In the stage of developing a new product with the aim of environmental-friendly design, the green thinking should be incorporated as early as possible in the process.

Practical implications

The case study was inspired from the previous work of the author, which was realized in a hot runner systems manufacturer, used in injection molding systems in a Canada. In a new product development process, the back- and front-ends of development efforts mainly determine the following criteria: cost, risk, quality and green used in this paper. The case study showed that the three fuzzy MCDM methods come to the same ranking outcomes. F-GRA has a better time complexity compared to the other two methods and uses a smaller number of computational steps. Moreover, a comparative analysis of the three F-MCDM methods; F-PROMETHEE II, F-TOPSIS and F-GRA used in ranking for green concept alternatives using the numerical results of the case study. For the case study; as seen in table 20, the three F-MCDM methods produced the numerical results on the rankings of the green concept alternatives as follows; {Concept A-Concept C–Concept B–Concept D}.

Social implications

Inclusion of environmental-related criteria into concept selection problem has been gaining increasing importance in the last decade. Therefore, to facilitate necessary calculations in applying each method especially with its fuzzy extension, it can be developed a knowledge-based (KB) or an expert system (ES) to help the DMs make the required calculations of each method, and interpret its results with detailed analysis.

Originality/value

The objective of the research was to propose a F-AHP based F-MCDM approach to green concept selection problem through F-PROMETHEE II, F-TOPSIS and F-GRA methods. As the F-AHP is used to weight evaluation criteria, the other methods are respectively used for ranking the concept alternatives and determine the best concept alternative.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 14 no. 3
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 7 May 2020

Himanshu Prajapati, Ravi Kant and Sandeep Mani Tripathi

Outsourcing is a crucial tool for an organization to focus on its core business operations. The purpose of this study is to find critical success factors (CSFs) of…

Abstract

Purpose

Outsourcing is a crucial tool for an organization to focus on its core business operations. The purpose of this study is to find critical success factors (CSFs) of outsourcing and to prioritize the performance outcomes of outsourcing because of the adoption of its CSFs.

Design/methodology/approach

This research proposes the hybrid framework of fuzzy Delphi, fuzzy analytic hierarchy process (F-AHP) and fuzzy additive ratio assessment (F-ARAS) to fulfill the research objectives. Fuzzy Delphi is used to finalize the CSFs of outsourcing and F-AHP provides the relative weights to it. F-ARAS is used to prioritize the outsourcing performance indicators with respect to CSFs. The empirical case investigation of three Indian large-scale public sector process industries is conducted to demonstrate the applicability of the proposed framework.

Findings

The result shows that increased dominance in core activity, ability to increase or decrease capacity, improved financial performance, optimized resource utilization and increased market share are the top five performance outcomes because of the adoption of outsourcing CSFs.

Research limitations/implications

Factors such as cultural, political, environmental and size of the organization may have a significant implication on the research results.

Originality/value

This is a novel approach towards the prioritization of performance outcomes of outsourcing. Moreover, the present research is a helpful tool to manage outsourcing and choosing which performance outcome of outsourcing ought to be used to measure implementation. This will help to recognize potential opportunities and preparing strategic planning for both short-term and long-term goals.

Details

Journal of Global Operations and Strategic Sourcing, vol. 13 no. 4
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 11 October 2018

Anilkumar Elavanakattu Narayanan, Rajagopalan Sridharan and P.N. Ram Kumar

The purpose of this paper is to identify, model, analyze and prioritize the barriers in implementing sustainable practices in rubber products manufacturing industry in…

Abstract

Purpose

The purpose of this paper is to identify, model, analyze and prioritize the barriers in implementing sustainable practices in rubber products manufacturing industry in Kerala, a state in South India. This research provides a more reliable quantitative measure of association of the barriers in the implementation of sustainable practices in the rubber products manufacturing sector.

Design/methodology/approach

Interpretive structural modeling (ISM) is used to develop the hierarchical relationships among the barriers in the implementation of sustainable supply chain practices in the rubber products manufacturing sector. The hierarchical structure among the barriers is framed using the experts’ opinion. Cross-impact matrix multiplication applied to the classification (MICMAC) analysis is integrated with the output of ISM to classify the barriers into different categories based on the driving power and the dependence power. The driving power and the dependence power of the barriers obtained from ISM constitute two criteria for prioritizing the barriers. The change management required is considered as the third criterion. The fuzzy-analytic hierarchy process (F-AHP) methodology is adopted to prioritize the barriers based on these three criteria.

Findings

The hierarchical relationship obtained through ISM methodology shows that lack of government initiatives and lack of benchmark on sustainability measurement in Indian conditions are the major barriers in implementing sustainable practices in the rubber products manufacturing sector. These barriers lead to the lack of management commitment for the implementation of sustainable practices in the organizations under study. The prioritization obtained through the F-AHP method suggests that lack of top-level management commitment, lack of motivation, lack of government initiatives and high initial cost of implementation are some of the major barriers in implementing sustainable practices in the organizations.

Research limitations/implications

In the application of the ISM methodology, the contextual relationship between the barriers specified by the experts and their preferences may involve bias. Another limitation of this research is that the modeling and prioritization of the barriers are executed based on the opinion of experts from rubber product manufacturing companies in one state only.

Originality/value

To the best knowledge of the authors, this research is the first study on the identification and prioritization of the barriers in sustainable supply chain implementation in the rubber products manufacturing sector. Modeling the inter-relationship among the barriers using ISM technique and prioritizing the barriers using F-AHP are the novel features of the contributions of this work.

Details

Journal of Manufacturing Technology Management, vol. 30 no. 6
Type: Research Article
ISSN: 1741-038X

Keywords

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Book part
Publication date: 5 October 2018

Long Chen and Wei Pan

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision…

Abstract

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Article
Publication date: 17 March 2021

Aashish Garg, Ran Singh Dhaliwal and Sanjay Gupta

From the last few decades, environmental issues have become a global concern. Consumption activities are given much attention in the marketing literature, whenever the…

Abstract

Purpose

From 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/approach

In 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.

Findings

Results 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/implications

Data 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 implications

The 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/value

Previous 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.

Details

International Journal of Social Economics, vol. 48 no. 7
Type: Research Article
ISSN: 0306-8293

Keywords

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Article
Publication date: 8 July 2021

Yvonne Badulescu, Ari-Pekka Hameri and Naoufel Cheikhrouhou

Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to…

Abstract

Purpose

Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk.

Design/methodology/approach

A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection.

Findings

It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period.

Research limitations/implications

The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19.

Originality/value

This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 25 February 2020

Manju Saroha, Dixit Garg and Sunil Luthra

Business organisations are under serious threat to sustain their business due to globalisation, challenging market and recent economic competitiveness. The aim of this…

Abstract

Purpose

Business organisations are under serious threat to sustain their business due to globalisation, challenging market and recent economic competitiveness. The aim of this study is to address various pressures to circular supply chain management (CSCM) implementation for sustainability.

Design/methodology/approach

The present study is based on two research levels. Initially, extensive literature review has been made to identify 31 pressures to CSCM, and eight categories of pressures have been identified. At the second level, fuzzy analytical hierarchy process (F-AHP) has been applied to rank the identified pressures to CSCM implementation for sustainability.

Findings

“Financial Pressures (FP)” has been identified as most significant pressure to CSCM implementation for sustainability. Further, “Lack of support of top management (MP1)”, “Lack of implementation of laws and policies (GP2)” and “Lack of vision for CSCM (GP1)” have been found most critical sub-pressures CSCM implementation for sustainability.

Research limitations/implications

The final results give the prioritised list of all identified 31 sub-pressures and eight main pressure heads, which will be helpful in their removal for achieving the goal of CSCM implementation. It will be helpful for managers to take decisions promoting circular practices in supply chains to achieve truly sustainable supply chains. It will also be help for SC managers to understand the flow of activities and materials in CSC to get good results and remove pressures.

Originality/value

The present study plays an important role in circular activities implementation in supply chain for profit gain, and their pressure ranking may help the mangers to implement the CSCM effectively.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 5 November 2019

Jinesh Jain, Nidhi Walia and Sanjay Gupta

Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually…

Abstract

Purpose

Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various behavioral biases which impact their investment decisions. The purpose of this paper is to rank the behavioral biases influencing the investment decision making of individual equity investors from the state of Punjab, India. This research would provide valuable insight into the different behavioral biases to investors and other participants of the capital market and help them in improving investment decisions.

Design/methodology/approach

The research is conducted on the individual equity investors of Punjab, India. Fuzzy analytic hierarchy process was applied to rank the factors influencing the decision making of individual equity investors of Punjab. The primary factors considered for the study are overconfidence bias, representative bias, anchoring bias, availability bias, regret aversion bias, loss aversion bias, mental accounting bias and herding bias.

Findings

The three most influential criteria were herding bias, loss aversion bias and overconfidence bias. The five most influential sub-criteria were “I readily sell shares that have increased in value (C61),” “News about the company (Newspapers, TV and magazines) affects my investment decision (C84),” “I invest each element of my investment portfolio separately (C71)” and “I usually hold loosing stock for long time, expecting trend reversal (C52).”

Research limitations/implications

Although sample survey conducted in the present study was based on a limited sample selected from a particular area that truly represented the total population, it is considered as the limitation of this study.

Practical implications

The outcome of this research provides investors with a better understanding of behavioral biases that influence their decision making. This study provides them a guideline on different behavioral biases that they should consider while making investment decisions.

Originality/value

The research model is based on the available literature on behavioral finance and the research results and findings would add value to the existing knowledge base.

Details

Review of Behavioral Finance, vol. 12 no. 3
Type: Research Article
ISSN: 1940-5979

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Book part
Publication date: 6 April 2021

Yeter Demir Uslu, Emre Yılmaz and Pakize Yiğit

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates…

Abstract

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates with an objective method. In this study, in which the health manager selection was carried out with fuzzy Analytical Hierarchy Process (AHP) and MULTIMOORA methods, 8 candidates were evaluated according to 12 personnel selection criteria. Comparative matrices of qualified health manager selection criteria were presented to the expert opinion and analyzed with the fuzzy AHP method. According to the analysis result, among the 12 criteria; The “Crisis Management Skill” criterion is in the first place with 12.5% weight; The “Social Responsibility Awareness” criterion was found to be in the last place with 3.2% weight. The MULTIMOORA method was applied by analyzing the interview scores and criterion weightings of the candidates evaluated by the jury. According to the results of MULTIMOORA, Candidate 1 first place and Candidate 6 ranked last.

Details

Strategic Outlook in Business and Finance Innovation: Multidimensional Policies for Emerging Economies
Type: Book
ISBN: 978-1-80043-445-5

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Article
Publication date: 8 December 2020

Zeki Ayağ and Funda Samanlioglu

In this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP

Abstract

Purpose

In this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP) and hesitant fuzzy the technique for order preference by similarity to ideal solution (HF-TOPSIS) are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning (ERP) alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company.

Design/methodology/approach

Selecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues (i.e. time loss, increased costs and a loss of market share). On the other hand, finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria.

Findings

In this integrated approach, the hesitant F-AHP is used to determine the criteria weights, as the hesitant F-TOPSIS is utilized to rank ERP package alternatives. The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners.

Research limitations/implications

If the number of the alternatives and criteria are dramatically increased beyond reasonable numbers, the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations. Therefore, the number of criteria and alternatives should be at reasonable numbers.

Practical implications

The proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners.

Originality/value

Furthermore, in literature, to the best of our knowledge, the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem.

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