Analyzing the operational barriers of government-supported healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Causal Effect ◽  
Demand Management ◽  
Theoretical Background ◽  
Fuzzy Decision Making ◽  
Successful Implementation ◽  
Fuzzy Dematel ◽  
Content Type ◽  
The Government ◽  
The Impact

PurposeThe purpose of this study is to develop a methodology for the identification, categorization and prioritization of operational government-supported healthcare supply chain barriers (GHSCBs).Design/methodology/approachThis study develops a theoretical background for identifying and segregating relevant GHSCBs and proposes a 5W2H (a Toyota production system) with fuzzy DEcision MAking Trial and Evaluation Laboratory (DEMATEL) embedded approach to quantify the causal–effect relationships among the identified operational GHSCBs.FindingsSeven GHSCBs (i.e. uncertainty of demand management, lack of continuous improvement and learning, lack of deadline management, lack of social audit, warehousing equipment unavailability, human resource shortage and inadequate top level monitoring) were identified as significant cause group where the government, top management and decision-makers of government-supported healthcare supply chain (GHSC) have to put efforts.Research limitations/implicationsThe results obtained are specific to the GHSC of Indian perspective, which could be extended to global context. However, the proposed approach can be a base and provide a platform to understand and analyze the interactions among GHSCBs.Practical implicationsThe proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of GHSCBs for successful implementation of healthcare supply chain.Originality/valueAccording to best of the authors' knowledge, this is the first study of operational barrier for GHSC in India in specific. The use of 5W2H embedded fuzzy DEMATEL approach for the development and analysis of the theoretical framework of Indian GHSCBs is unique in barrier literature.

Analyzing the agile manufacturing barriers using fuzzy DEMATEL

2017 ◽  
Vol 24 (7) ◽  
pp. 1912-1936 ◽  
Author(s):  
Pavan Kumar Potdar ◽  
Srikanta Routroy ◽  
Astajyoti Behera
Keyword(s):  
Agile Manufacturing ◽  
Fuzzy Decision Making ◽  
Relationship Matrix ◽  
Successful Implementation ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Automobile Manufacturing ◽  
Manufacturing Company ◽  
Multiple Experts ◽  
The Impact

Purpose The purpose of this paper is to identify and analyze the agile manufacturing barriers (AMBs) for establishing a cause and effect relationship among them. Design/methodology/approach A methodology is proposed using fuzzy decision-making trial and evaluation laboratory (DEMATEL) to capture multiple experts’ qualitative judgments for mitigating the impact of the AMBs. In order to validate the proposed methodology, it is applied to an Indian automobile manufacturing company. Findings Out of 36 AMBs identified through literature review, 20 AMBs are found to be relevant to the case company. Five AMBs (i.e. lack of resource reconfiguration, inefficient conflicting management styles, imperfect market knowledge, inadequate information handling and improper strategic plan) were identified as significant cause group where the case company has to put efforts and resources. Also the impact relationship matrix for each AMB has been developed to visualize its interactions (i.e. influencing and influenced) among other AMBs. Research limitations/implications The results obtained are specific to the Indian automobile manufacturing company and it cannot be generalized for every manufacturing company or any other sector. However, the proposed approach can be a basis and provide a platform to understand and analyze the interactions between AMBs. Practical implications The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of AMBs for successful implementation of agile manufacturing. Originality/value According to the authors’ knowledge, no work is reported in the literature that proposes a framework using fuzzy DEMATEL for the analysis of AMBs in Indian automobile manufacturing company.

Exploration of COVID-19 impact on the dimensions of food safety and security: a perspective of societal issues with relief measures

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Janpriy Sharma ◽  
Mohit Tyagi ◽  
Arvind Bhardwaj
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Agricultural Practices ◽  
Research Literature ◽  
Content Type ◽  
Food Industries ◽  
Societal Issues ◽  
The Past ◽  
The Government ◽  
The Impact

PurposeOutbreak of the COVID-19 pandemic has created the catastrophic situation, it has crippled all the economic activities and seized off the operations of food supply chain (FSC). Disrupted FSC escalated the societal concerns related to food safety and security. The purpose of this study is to consolidate various issues, exploring the perspectives associated with the agricultural practices, food industries and society concerns related with the FSC performance system dynamics amid of COVID-19 pandemic.Design/methodology/approachTo structure this work, a detailed research literature insight focussing on the key findings associated with the past disease outbreaks like influenza, avian flu, Ebola, bird flu, SARS, foot and mouth disease and ongoing phase of COVID-19, encompassing the perspective related with various agricultural and concerned supply chain practices is clustered. Furthermore, issues having relevancy with the notion of this work, sourced from platforms of print and electronic media have been incorporated to ground the reality associated with the impacts, for better visualisation of the perspectives.FindingsThis study outlays the key findings which are relevant with the past pandemic outbreaks from the core of the research literature. It details the impact of the current COVID-19 scenario on the various FSC operations, focussing on dimensions allied with the industry, economic and society concerns. For the same, to mitigate the effects, relief measures focussing on the short- and long-term perspectives have been incorporated. Steps ramped up by the Government of India (GOI) to safeguard masses from the threat of food security, accelerate pace of the FSC operations and upscale operating capacities of the industries and agriculture practices have incorporated.Research limitations/implicationsPresented work is persuaded amid of the COVID-19 lockdown restrictions hence it outlays the theoretical perspectives only. But, these perspectives portray the ongoing scenario's impacts, extending its implication to the people coming from the industry and academia background. This study can felicitate the government bodies to make them familiar with the various impacts which indented the FSCs, food industries and added woes to the society concerns.Originality/valueIndia is the second largest populated nation of the world, and outspread of the COVID-19 has capsized the FSCs and raised the various instances, making population vulnerable to the threats of food insecurity. This study encompasses effect of the FSC disruption by incorporating its effect on the food industries practices, societal issues and extending possible relief measures to restructure the FSC dynamics. As of now, study focussing on the Indian FSC concerns, detailing of impacts due to pandemic outbreak, relief measures to sail out of the hard times are not available.

Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manju Saroha ◽  
Dixit Garg ◽  
Sunil Luthra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Practices ◽  
Research Work ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Chain Management ◽  
Content Type ◽  
Cause And Effect ◽  
Causal Framework

PurposeCircular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy.Design/methodology/approachIn this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted.FindingsThe results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R − C values.Research limitations/implicationsThe findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly.Originality/valueThis research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM.

Benchmarking the logistics management implementation using Delphi and fuzzy DEMATEL

2018 ◽  
Vol 25 (6) ◽  
pp. 1795-1828 ◽  
Author(s):  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Suresh Kumar Jakhar ◽  
Mohit Tyagi ◽  
Balkrishna Eknath Narkhede
Keyword(s):  
Logistics Management ◽  
Fuzzy Decision Making ◽  
Importance Rating ◽  
Successful Implementation ◽  
Information Communication ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Logistics Company ◽  
Technological Developments ◽  
Global Concern

Purpose From last few decades, logistics management (LM) constitutes a global concern among organization’s supply chain (SC) to improve their business effectiveness. The purpose of this paper is to uncover and analyze the critical factors (CFs) related to the implementation of effective LM concept and benchmark the SC performance. Design/methodology/approach The most common (16) CFs were identified and selected through literature and use of the Delphi method. Subsequently, the selected most common CFs were analyzed to distinguish their causal relations using the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique under unclear surroundings. A case example of Indian Logistics Company is also discussed to reveal the practical applicability of the research. Findings Provision of the effective information communication and technological developments in the system and Management dedication, support and involvement CFs are found to have the top most influences in the effective implementation of LM. This paper also groups the CFs into cause and effect relationship which provides valuable insights for analyzing the factors in successful implementation of LM. Practical implications This work attempts to understand the different CFs, their relative position and the importance rating in the system, due to which, managers can differentiate the factor which greatly affects the concepts of implementing LM, and thus, improvements can be made accordingly. Originality/value First, this work offers 16 CFs to LM implementation from a SC scenario. Second, in the context of contributing to the theory, the combined Delphi and fuzzy DEMATEL-based model is provided that helps in managing the logistic related issues effectively.

Strategic logistics outsourcing: upstream-downstream supply chain comparison

2017 ◽  
Vol 10 (3) ◽  
pp. 309-333 ◽  
Author(s):  
Saleh Fahed Alkhatib
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Integrated Approach ◽  
Fuzzy Decision Making ◽  
Logistics Outsourcing ◽  
New Approach ◽  
Content Type ◽  
Strategic Objectives ◽  
The Impact ◽  
Fuzzy Quality Function Deployment

Purpose The purpose of this paper is to develop a new integrated approach for the strategic logistics outsourcing process through identifying the logistics independent success factors (ISFs) and linking them with the firm’s strategic objectives and logistics requirements. Then, the new integrated approach will be used to compare the outsourcing processes for the upstream and downstream supply chain members. Studies of logistics outsourcing reveal the strategic importance of this process and the increasing need for new strategic approach. Design/methodology/approach The design is based on mixed methodology and integrated approach. The fuzzy decision-making trial and evaluation laboratory technique has contributed to the construction of interdependent relationships, development of impact-relationship maps (IRMs) and identifying ISFs. The fuzzy quality function deployment technique was used to link the strategic objectives, logistics requirements and the ISFs to evaluate and select logistics service providers (LSPs) strategically. Finally, two case studies (upstream and downstream supply chains) are used to demonstrate the new approach effectiveness and to highlight the differences/similarities between the two streams. Findings In addition to the new strategic logistics outsourcing approach, this study analysed the impact relationships of the LSPs’ framework factors and constructed their maps. In all, 21 ISFs have been identified: 8 logistics key performance indicators, 7 logistics services and activities and 6 logistics resources and capabilities. The two streams’ comparison relived several differences in terms of strategic objectives, logistics requirements and ISFs. Research limitations/implications The new approach for strategic logistics outsourcing can help firms to perform a better multi-stakeholder multi-criteria strategic outsourcing process. In addition, the upstream–downstream supply chain comparison increases our understanding how different supply chain members perform different outsourcing processes. Originality/value This is one of the pioneering studies that compares the supply chain upstream–downstream perspectives to highlight logistics outsourcing similarities and differences. To the best of author’s knowledge, this is one of the first logistics outsourcing studies that identifies ISFs for strategic logistics outsourcing, provides the first IRMs for the strategic logistics factors and develops a new integrated approach for strategic logistics outsourcing

Knowledge management adoption in supply chain

2014 ◽  
Vol 9 (2) ◽  
pp. 160-178 ◽  
Author(s):  
Sachin K. Patil ◽  
Ravi Kant
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Influencing Factors ◽  
Structural Model ◽  
Fuzzy Decision Making ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Effect Relationship

Purpose – The purpose of this article is to identify the critical success factors (CSFs) of knowledge management (KM) adoption in the supply chain (SC) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method through an empirical case study. Design/methodology/approach – The paper examines the influencing factors of KM adoption in SC which have been identified through the literature survey and expert opinion. The fuzzy DEMATEL method has been used to evaluate identified influencing factors. Considering the interdependence among factors, the fuzzy DEMATEL method forms a structural model and then visualizes the causal relationships among factors through a cause–effect relationship diagram. On the basis of the cause–effect relationship diagram, CSFs that are extraordinarily essential for KM adoption in SC are identified. Empirical case study of an Indian automobile organization presented to illustrate the fuzzy DEMATEL method and demonstrates its usefulness. Findings – The results gathered from the implementation of the fuzzy DEMATEL method to identify CSFs of KM adoption in SC to the chosen case illustrate that factors such as top management support, employee training and education, integration of knowledge and information flow, communication among the SC members and trustworthy teamwork to exchange knowledge within SC need to be highlighted as critical factors for successful adoption of KM in SC. Practical implications – The finding not only offers a meaningful base to deepen the understanding with regard to KM adoption in SC, but also provides a clue to develop an effective adoption of KM in SC in a stepwise manner. Originality/value – The empirical case study contributes to the literature on KM adoption in SC, suggesting how an organization can identify CSFs of KM adoption in SC and implement them progressively to greatly improve the efficiency of the whole SC performance.

Analyzing employee perspectives on the impact of COVID-19 on sustainable practices: a study of five-star hotels in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamakshi Mehta ◽  
Shikha Sharma
Keyword(s):  
Environmental Sustainability ◽  
Successful Implementation ◽  
Content Type ◽  
Sustainable Environment ◽  
Global Environmental ◽  
The Government ◽  
Environmental Agencies ◽  
The Impact ◽  
Practical Implications ◽  
Survey Questionnaires

PurposeGiven the pace of global environmental degradation, companies and individuals alike are exploring ways and means of protecting the environment. In this context, the attitudes of hoteliers and their employees toward sustainability are key to the successful implementation of these practices. This paper aims to consider the impact of attitude development and COVID-19 on the sustainability performance of hotels. The study also explores contributions made by hotels to environmental sustainability and society more generally.Design/methodology/approachThe study is based on interviews and survey questionnaires completed by employees of five-star hotels in India, and qualitative methods were used to process the data.FindingsThe findings of this study confirm the devastating impact of COVID-19 on both economic and societal sustainability in what otherwise would be a profitable sector of the economy.Practical implicationsThe study has implications for hoteliers, the government, environmental agencies and for employees and could assist with the formulation of recovery packages by government and in the development of new standard operating procedures to enable hotels to step-up on the self-recovery path.Originality/valueThe paper provides an analysis of the direct effects of the pandemic on financial sustainability and its mediating impact on the efforts of hotels to attain sustainable environment.

A conceptual framework model for an effective cold food chain management in sustainability environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cansu Turan ◽  
Yucel Ozturkoglu
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Food Chain ◽  
Food Industry ◽  
Cold Chain ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Chain Management ◽  
Content Type ◽  
Cold Food

Purpose There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus, adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage, it not only becomes risky for human health, but also generates huge food waste for the environment and negative economic impact for food providers. Therefore, this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers, food providers and logistics parties for sustainable cold chain management. Design/methodology/approach Considering, tangible and intangible potential criteria, the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next, the importance order of each criterion and the causal relationships between them are determined. In this study, this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors, additionally to determine importance order. Finally, suggestions for administrative implications are presented. Findings Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1, C3, C8, C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally, top three most important factors are traceability (C7), staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations, suggestions for managerial implementations are presented. Practical implications The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order. Originality/value To the best of the authors’ knowledge, this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study.

scholarly journals The impact of Industry 4.0 implementation on supply chains

2020 ◽  
Vol 31 (4) ◽  
pp. 669-686 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Merve Er Kara ◽  
Hamid Moradlou ◽  
Mohit Goswami
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Supply Chains ◽  
Conceptual Model ◽  
Industry 4.0 ◽  
Successful Implementation ◽  
Technological Transformation ◽  
Implementation Framework ◽  
Content Type ◽  
The Impact

PurposeThe study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm.Design/methodology/approachA critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.FindingsIndustry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains.Research limitations/implicationsThe results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.Practical implicationsThe study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.Originality/valueSimulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains.

Analyzing environment sustainability enablers using fuzzy DEMATEL for an Indian steel manufacturing company

2019 ◽  
Vol 17 (2) ◽  
pp. 300-329 ◽  
Author(s):  
Shishir Goyal ◽  
Srikanta Routroy ◽  
Anupam Singhal
Keyword(s):  
Environmental Sustainability ◽  
Manufacturing Sector ◽  
Fuzzy Decision Making ◽  
Manufacturing Companies ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Steel Manufacturing ◽  
Manufacturing Company ◽  
Multiple Experts ◽  
The Impact

PurposeThe purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs for implementing and enhancing environmental sustainability.Design/methodology/approachA methodology using fuzzy Decision-Making Trail and Evaluation Laboratory (DEMATEL) is proposed to analyze ESEs capturing multiple experts’ qualitative judgments on their mutual impacts. It is applied to an Indian steel manufacturing company to understand the salient features of the concept.FindingsThe relevant 18 ESEs were classified into cause and effect group and also interactions (i.e. influencing and influenced) of each ESE with other ESEs were evaluated. It was observed that the five ESEs (i.e. competitors’ environmental sustainability strategy, environmental compliance certification, government regulations and incentives, influence of external factors and air pollution controlling system) are the most prominent in the cause group.Research limitations/implicationsThe results obtained are specific to an Indian steel manufacturing company and it cannot be generalized for steel manufacturing sector. However, the current paper can show direction to carry out such work in other manufacturing companies.Practical implicationsThe proposed methodology will be helpful for allocating efforts and resources to enhance the impact of ESEs for successful achievement of environmental sustainability.Originality/valueNo such paper has been reported in the literature with an objective to develop structural framework for Indian steel manufacturing company to improve environmental sustainability.

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