Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Kaizen transferability in non-Japanese cultures: a combined approach of total interpretive structural modeling and analytic network process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ammar Mohamed Aamer ◽  
Mohammed Ali Al-Awlaqi ◽  
Nabeel Mandahawi ◽  
Farid Triawan ◽  
Faisal Al-Madi
Keyword(s):  
Developing Countries ◽  
Success Factors ◽  
Analytic Network Process ◽  
Organization Culture ◽  
Japanese Culture ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Firm Level ◽  
Content Type ◽  
Network Process

PurposeThe literature on Kaizen transferability to non-Japanese culture is still evolving. The results suggest that the relevant research is still at a descriptive and explanatory stage. This study aims to identify and prioritize the importance of significant Kaizen transferability factors in a non-Japanese culture.Design/methodology/approachA decision theory-based prescriptive analysis methodology was used to analyze identified Kaizen transferability success factors. Firstly, a list of Kaizen transferability factors was devised from the literature using a systematic literature review. Secondly, an integrated interpretative structure modeling and analytic network process approach were applied to generate preference among factors.FindingsA framework with a prioritized Kaizen transferability success factors included, in ascending order, organization culture, employee participation, employee discipline, employee personal initiative, top management commitment, management enforcement, employee eagerness, management support and national culture and traditions.Research limitations/implicationsManagers and decision-makers would better understand where to direct their effort and attention to implement the Kaizen management philosophy to improve firm-level productivity. Although the factors studied in this research considered the Indonesian context, the proposed framework could be replicated and extended to include other cultures.Originality/valueThe present work contributes to the limited studies and documentation on Kaizen activities' transferability challenges and the Kaizen body of knowledge in developing countries. This study should help organizations in other developing countries, assimilate how to adopt and manage the Kaizen philosophy implementation by following the framework created in this research.

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

How to decode the value-consequence-attribute relationship: the application of TISM and ANP techniques

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kuei-Feng Chang ◽  
Maxwell Hsu ◽  
Scott Swanson
Keyword(s):  
Value Chain ◽  
Consumer Preferences ◽  
Objective Assessment ◽  
Hierarchical Structures ◽  
Analytic Network Process ◽  
Interpretive Structural Modeling ◽  
Consumer Evaluations ◽  
Content Type ◽  
Positioning Strategy ◽  
Network Process

Purpose This paper aims to facilitate positioning strategy formation by decoding the relationship between consumers’ desired values, service attributes and expected consequences. Design/methodology/approach Key informant depth interviews are followed by a questionnaire of self-cause-and-effect assessments. Total interpretive structural modeling (TISM) is used to identify hierarchical structures via pair-wise preference comparisons. The analytic network process (ANP) is used to compute relative weights to evaluate the overall image of identified alternatives. The feedback feature in the ANP is enabled to obtain objective assessments. Findings With the help of both TISM and ANP techniques, the hierarchical and interactive relationships among consumers’ desired values, expected consequences and service attributes are revealed in the context of international airline services. Research limitations/implications The approach presented can help organizations to identify which attributes influence consumer evaluations of a company/brand; obtain the hierarchical and interactive relationships among service attributes, expected consequences and desired values; assess consumer preferences toward identified service attributes; and obtain an objective assessment of the competitive landscape, which can facilitate the development of effective positioning strategies and associated tactics. Practical implications Organizations adopting the methods presented in this study can have a better understanding of the consumer value chain and deliver better customer experiences. Originality/value The current study provides an innovative application of the TISM in conjunction with a feedback-enabled ANP technique to address brand positioning challenges. Future studies may consider adopting the TISM-ANP method as a foundation whenever one attempts to explore the values-consequences-attributes hierarchy.

Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process

2014 ◽  
Vol 11 (3) ◽  
pp. 232-256 ◽  
Author(s):  
Kailash Meena ◽  
Jitesh Thakkar
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Balanced Scorecard ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Network Process ◽  
Care System

Purpose – The purpose of this paper is to develop a Balanced Scorecard-based performance measurement framework for health care system. Design/methodology/approach – An integrated ISM-ANP-based quantitative approach is used for the development of balance scorecard for health care system. The necessary insights are drawn from the secondary literature. Findings – This research identifies Key Performance Indicators and their interrelationships for health care system. An integrated approach of ISM and ANP is employed for the development of balance scorecard. Research limitations/implications – The findings of the research are based on insights gained from secondary literature and an analysis of five cases in health care segment and hence generalization of proposed framework is limited to the system representing some commonalities with chosen cases. Practical implications – Health care is the diagnosis, treatment and prevention of disease, illness, injury and other physical and mental impairments in humans. Access to health care varies across countries, groups and individuals, largely influenced by social and economic conditions as well as the health policies in place. The changing nature of today's health care organizations, including pressure to reduce costs, improve the quality of care and meet stringent guidelines, has forced health care professionals to re-examine how they evaluate their performance. Originality/value – The Balanced Scorecard health care expanded organization measures beyond financial analysis. It was first proposed by Robert S. Kaplan and David P. Norton in their book “The Balanced Scorecard (1996, Harvard Business School Press).” This research reports a development of Balanced Scorecard for health care using an integrated approach of Interpretive Structural Modeling and Analytic Network Process is used.

scholarly journals SUPPLIER SELECTION USING A HYBRID MODEL FOR 3C INDUSTRY

2014 ◽  
Vol 15 (4) ◽  
pp. 631-645 ◽  
Author(s):  
Kwo-Liang Chen ◽  
Ching-Chiang Yeh ◽  
Jo-Chen Huang
Keyword(s):  
Supplier Selection ◽  
Hybrid Approach ◽  
Analytic Network Process ◽  
Consumer Electronics ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Computer Communication ◽  
Management Interventions ◽  
Proposed Model ◽  
Network Process

Supplier selection is a good strategy for firms that can reduce operating costs and improve competitiveness for computer, communication and consumer electronics (3C) industry. The major aim of this research is to build a systematic approach for establishing a supplier selection model, and then prioritize improvement criteria in order to best supply chain management. The study proposed a hybrid approach by using the interpretive structural modeling (ISM) method to deal with the interrelationship among criteria, and the analytic network process (ANP) method is employed to recognize the criteria of supplier selection and evaluate with respect to environmental competency for the case of Taiwan's 3C industry. The study shows that the proposed model could be an effective and efficient decision-making tool that can be easily extended to other contexts. Especially, it has provided decision-makers and researchers with better understanding of the differences in supplier selection activity needs and specific management interventions by examining these criteria.

Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kirti Nayal ◽  
Rakesh D. Raut ◽  
Maciel M. Queiroz ◽  
Vinay Surendra Yadav ◽  
Balkrishna E. Narkhede
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Service Providers ◽  
Hybrid Approach ◽  
Security And Privacy ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
State Regulations ◽  
Network Process ◽  
Fuzzy Micmac

PurposeThis article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply chain (ASC) in the Indian context.Design/methodology/approach20 critical challenges were modeled based on a comprehensive literature review and consultation with experts. The hybrid approach of “Delphi interpretive structural modeling (ISM)-Fuzzy Matrice d' Impacts Croises Multiplication Applique'e à un Classement (MICMAC) − analytical network process (ANP)” was used.FindingsThe study's outcome indicates that “lack of central and state regulations and rules” and “lack of data security and privacy” are the crucial challenges of AI-ML implementation in the ASC. Furthermore, AI-ML in the ASC is a powerful enabler of accurate prediction to minimize uncertainties.Research limitations/implicationsThis study will help stakeholders, policymakers, government and service providers understand and formulate appropriate strategies to enhance AI-ML implementation in ASCs. Also, it provides valuable insights into the COVID-19 impacts from an ASC perspective. Besides, as the study was conducted in India, decision-makers and practitioners from other geographies and economies must extrapolate the results with due care.Originality/valueThis study is one of the first that investigates the potential of AI-ML in the ASC during COVID-19 by employing a hybrid approach using Delphi-ISM-Fuzzy-MICMAC-ANP.

Excellence criteria of services supply chain in management consulting institutes of Iran

2018 ◽  
Vol 9 (1) ◽  
pp. 42-65 ◽  
Author(s):  
Hadi Balouei Jamkhaneh ◽  
Abdol Hamid Safaei Ghadikolaei ◽  
Mehrdad Madhoushi ◽  
Mahmood Yahyazadehfar
Keyword(s):  
Supply Chain ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Future Research ◽  
Management Consulting ◽  
Content Type ◽  
Chain Processes ◽  
Fuzzy Delphi ◽  
Network Process ◽  
The Right

Purpose The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion. Design/methodology/approach In this paper, after reviewing the principles and evaluating models of SSCs, using the fuzzy Delphi method, the criteria for excellence in the supply chain processes were identified. Then, the relationships between these criteria and their significance were evaluated using decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process methods. Findings The results show that 19 evaluation criteria have been identified in Iran in accordance with the SSC process. These criteria were classified according to their nature and based on the Deming Excellence Model and ISO 9004 standards in four areas: Plan, Do, Check and Act. In addition, the Act dimension with the weight of 0.275 has the highest importance and the Plan dimension with the weight of 0.219 has the lowest importance. Practical implications This study attempted to identify appropriate criteria for SSC processes in management consulting firms by examining supply chain assessment models to provide the managers with the right understanding of this industry for performance assessment so that they have a better knowledge of supply chain processes. Originality/value The results will be useful for managers to understand the SSC and the ways of SSC excellence in a service organization. This research is a first step for evaluating SSC performance of management consultancy institutes. In fact, after the identification of SSC processes and evaluation criteria, designing a mechanism for the evaluation of the performance of SSCs can be a subject for future research.

Framework to precede collaboration in supply chain

2018 ◽  
Vol 25 (8) ◽  
pp. 2635-2659 ◽  
Author(s):  
Harjit Singh ◽  
Rajiv Kumar Garg ◽  
Anish Sachdeva
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Global Market ◽  
Decision Makers ◽  
Supply Chain Collaboration ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Market Requirements ◽  
Collaborative Activities ◽  
Insight Into

PurposeThe purpose of this paper is to help supply chain (SC) decision makers successfully penetrate through SC collaboration and strengthen their SC in the global market by understanding collaborative activities, and understand how these activities are related to each other in the SC.Design/methodology/approachThis paper develops a set of collaborative activities from literature, and the developed model is helpful for SC decision makers to monitor their SC activities and take corrective actions to improve collaboration in their SC by using interpretive structural modeling (ISM) and MICMAC analysis.FindingsThis study reveals that collaborative activities increase the value of whole SC. The various activities are modeled on the basis of “an activity influencing other activities” and “an activity influenced by other activities,” which is useful for SC managers to take a decision.Research limitations/implicationsThe current study is literature based; therefore, there would be need of more explanation of the activities which lead to understand and implement SC collaboration in case of service and manufacturing industry.Practical implicationsThe model of this study is helpful for decision makers to implement supply chain collaboration (SCC) and to understand various SCC activities on the basis of their driving and dependence power.Originality/valueThis research provided insight into skills needed for SC decision makers to implement collaboration in the SC using ISM. The results of the study could be adopted to monitor the existing SCC program or design new collaboration program to meet the global market requirements. To the best of knowledge, there is no reference that discusses SC collaborative activities on the basis of their driving and dependence powers.

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