scholarly journals Sustainable supply chain management framework in a higher education laboratory using intuitionistic fuzzy cognitive map

2020 ◽  
Vol 13 (2) ◽  
pp. 417
Author(s):  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah ◽  
Bella Taradipa Dewipramesti
Keyword(s):  
Higher Education ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Causal Model ◽  
Service Industry ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Intuitionistic Fuzzy

Purpose: This research aims to develop framework in the sustainable supply chain management (SCM) and to provide causal model of service industry specifically in higher education laboratory.Design/methodology/approach: The concepts of sustainable SCM in higher education laboratory were obtained by in-depth interviews and organized using Delphi method. While to identify the relationship between concepts, intuitionistic fuzzy cognitive map was utilized.Findings: As many as 15 concepts were identified to assess sustainability in the higher education laboratory SCM. These 15 concepts were classified into four categories according to its importance level, and there are two most important concepts: legal requirement and social responsibility. It is recommended for higher education laboratories to constantly obey national and regional government regulations and to satisfy current and prospective employers by providing work-ready graduates. This suggestion is expected to make higher education achieving its sustainability goals.  Originality/value: This research is the first to develop a framework for sustainable SCM and to provide a causal model of the service industry especially in the education sector using intuitionistic fuzzy cognitive map.

scholarly journals Development of causal model of sustainable hospital supply chain management using the Intuitionistic Fuzzy Cognitive Map (IFCM) method

2018 ◽  
Vol 11 (3) ◽  
pp. 588 ◽  
Author(s):  
Seyed Habibollah Mirghafoori ◽  
Ali Morovati Sharifabadi ◽  
Salim Karimi Takalo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Delphi Method ◽  
Service Management ◽  
Causal Model ◽  
Relationship Management ◽  
Fuzzy Cognitive Map ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Service Supply Chain

Purpose: Service industry is a massive sector accounting for about two-thirds of GDP of developed economies and is the field of an intensive competition between service companies and their supply chains. As a result, service supply chain management has become a subject of growing interest to researchers and business analysts. Healthcare industry is among the largest service industries with the highest potential for improvement in sustainability performance. The purpose of this study was to identify the concepts influencing the sustainability of hospital supply chain and provide a causal model for sustainable supply chain of hospital service.Design/methodology/approach: In this study, concepts that influence the sustainability of a hospital service supply chain were identified by in-depth interviewing of 18 experts in hospitals of Kerman, Iran. Delphi method was used to reorganize the initial concepts into 15 concepts. Finally, the Intuitionistic Fuzzy Cognitive Map (IFCM) method was used to develop the causal model of sustainable supply chain management for hospital service.Findings: Delphi method was used to reorganize 68 initial concepts into 15 concepts Contains: demand management, resource and capacity management, customer relationship management, supplier relationship management, service management, information management, financial performance management, Attention to the environment, contamination, energy consumption, legal requirements, employees, community and stakeholders, social accountability and business ethics. The results indicate that service delivery management is highly central among other concepts.Originality/value: with focusing on concepts such as service management, and capacity and resources management, The sustainability of the hospital supply chain can be improved.

scholarly journals Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1427 ◽  
Author(s):  
Konstantinos Papageorgiou ◽  
Gustavo Carvalho ◽  
Elpiniki I. Papageorgiou ◽  
Dionysis Bochtis ◽  
George Stamoulis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Solar Energy ◽  
Energy Sector ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Decision Making Process ◽  
Chain Management ◽  
Photovoltaic Solar Energy

Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming mitigation. Photovoltaic solar energy also holds a significant role in the transition to sustainable energy systems. These systems and their optimal exploitation require an effective supply chain management system, such as design of the network, collection, storage, or transportation of this energy resource, without disregarding a country’s certain socio-economic and political conditions. In Brazil, the adoption of photovoltaic solar energy has been motivated not only by the energy matrix diversification but also from the shortages, problems, and barriers that the Brazilian energy sector has faced, lately. However, PSE development is affected by various factors with high uncertainty, such as political, social, economic, and environmental, that include critical operational sustainability issues. Thus, an elaborate modelling of energy management and a well-structured decision support process are needed to enhance the performance efficiency of Brazilian PSE supply chain management. This study focuses on the investigation of certain factors and their influence on the development of the Brazilian PSE with the help of Fuzzy Cognitive Maps. Fuzzy Cognitive Map is an established methodology for scenario analysis and management in diverse domains, inheriting the advancements of fuzzy logic and neural networks. In this context, a semi-quantitative model was designed with the help of various stakeholders from the specific energy domain and three plausible scenarios were conducted in order to support a decision-making process on PSE sector development and the country’s economic potential. The outcome of this analysis reveals that the development of the PSE sector in Brazil is mainly affected by economic and political factors.

scholarly journals Critical analysis of engineering education focused on sustainability in supply chain management: an overview of Brazilian higher education institutions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Leonardo Keiti de Godoy Tominaga ◽  
Vitor William Batista Martins ◽  
Izabela Simon Rampasso ◽  
Rosley Anholon ◽  
Dirceu Silva ◽  
...  
Keyword(s):  
Higher Education ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Engineering Education ◽  
Higher Education Institutions ◽  
Solution Technique ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Worker Training

Purpose This paper aims to critically analyze the engineering education focused on sustainability in supply chain management, in courses offered by Brazilian higher education institutions. Design/methodology/approach Topics related to sustainable supply chain management were listed from the literature and used as a framework to gather professors’ opinions on how well these topics are covered in engineering courses offered in Brazil. Data analysis was performed via frequency analysis and comparative ordering using the Fuzzy technique for order preference by similarity to ideal solution technique. Findings It was possible to evidence that most of the topics are superficially presented within other subjects and that there are few associated practical activities that enable greater learning. Comparatively, issues related to ISO standards (related to quality and environmental management systems) and compliance with environmental laws, regulations and standards were highlighted. Additionally, it was possible to verify that there is a need for further study on issues related to energy efficiency, worker training and corporate governance. Originality/value No similar study was found in the literature. The findings presented in this paper can contribute to the improvement of engineering education in Brazil and other countries.

scholarly journals USING FUZZY CHOQUET INTEGRAL OPERATOR FOR SUPPLIER SELECTION WITH ENVIRONMENTAL CONSIDERATIONS

2016 ◽  
Vol 17 (4) ◽  
pp. 503-526 ◽  
Author(s):  
Arash SHAHRYARI NIA ◽  
Laya OLFAT ◽  
Ahmad ESMAEILI ◽  
Reza ROSTAMZADEH ◽  
Jurgita ANTUCHEVIČIENĖ
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Integral Operator ◽  
Supplier Selection ◽  
Choquet Integral ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Intuitionistic Fuzzy ◽  
Environmental Criteria ◽  
Choquet Integral Operator

The increasing importance of considering environmental issues as a part of the corporate social responsibility, which has environmental and social impacts as well as affects the image and competitiveness of a firm, has encouraged companies to revise their major processes of supply chain management (SCM). Since the performance of a company heavily relies on its suppliers, it is of vital importance to incorporate environmental criteria into supplier selection problem to satisfy both conventional and environmental criteria, which have only been considered by a limited number of studies. Therefore, following a brief review of green supply chain management (GSCM) and sustainable supply chain management (SSCM) concepts and investigation of supplier selection approaches, this study after focuses on a modified Delphi method that has been applied to determine supplier selection criteria. Also, the intuitionistic fuzzy value (IFV) and interval value intuitionistic fuzzy (IVIF) have been utilised for supplier evaluation regarding the subjective nature and uncertainty of judgment. By using the Choquet Integral operator and fuzzy measures, the best supplier has been selected, and the comparison between IFV and IVIF has been made. This methodology has been applied to a manufacturing company to assess the applicability of the proposed methodology. The proposed methodology can be used for real world problems that contain fuzziness or interacting decision criteria. Moreover, due to a high level of expert involvement in the decision-making process, we claimed that the knowledge of experts has been utilised constructively.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

scholarly journals An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries

2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Service Providers ◽  
Telecommunications Industry ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
The Relationship

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.

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