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.

scholarly journals Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia
Keyword(s):  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Supply Chain Network ◽  
Total Quality ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Supply Chain Risks ◽  
Hierarchy Process ◽  
Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

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.

scholarly journals An Application of Multicriteria Decision-making for the Evaluation of Alternative Monorail Routes

Mathematics ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 16 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Transportation Planning ◽  
Selection Process ◽  
Urban Transportation ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Route Selection ◽  
Network Process ◽  
Order Preference ◽  
Selection For

Urban transportation planning is important for a metropolitan city. Route selection, which is among the decisions of urban transportation planning, is also important in terms of developing the urban transportation. This study contains the route selection for the planned monorail transport system that is a new system in Ankara. The most suitable monorail route was selected among the determined eight alternative monorail routes. In this decision process, we used the Analytic Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, which is one of the multi-criteria decision-making methods. Finally, we provided the most suitable ranking and planning with the selection process for the development of urban transportation.

scholarly journals CONSTRUCTING A NETWORK EVALUATION FRAMEWORK FOR IMPROVING THE FINANCIAL ECOSYSTEM IN SMALL-MEDIUM SIZE FIRMS

2018 ◽  
Vol 24 (3) ◽  
pp. 893-913
Author(s):  
Cheng Shian LIN ◽  
Chun Yueh LIN
Keyword(s):  
Supply Chain ◽  
Evaluation Model ◽  
Academic Support ◽  
Optimal Solution ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Medium Size ◽  
Supply Chain Finance ◽  
Proposed Model ◽  
Network Process

This study presents an evaluation framework to measure the various operations to acquire the optimal core operation (CO) when financier provides the supply chain finance (SCF) services in smartphone industry supply chain (SC). The proposed model applies the modify Delphi method and analytic network process (ANP). First, the evaluation model establishes a network with three criteria, eleven sub-criteria and four operations. Next, the ANP is utilized to the framework to obtain the relative weights of the criteria. Finally, the application of the multi-criteria decision making process will list the optimal CO on the basis of their rankings in the framework.The proposed model and the relevant research results can provide academic support to the decision-makers on finance sector with a valuable objective guide for assessing the CO of smartphone industry SC programs to determine the optimal solution in their actual administration of SCF service practices.

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

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