Selection of Third-Party Logistics (3PL): A Hybrid Approach Using Interpretive Structural Modeling (ISM) and Analytic Network Process (ANP)

2005 ◽  
Vol 6 (1) ◽  
pp. 32-46 ◽  
Author(s):  
Jitesh Thakkar ◽  
S. G. Deshmukh ◽  
A. D. Gupta ◽  
Ravi Shankar
Keyword(s):  
Hybrid Approach ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Third Party ◽  
Third Party Logistics ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Selection Of

AN INTEGRATED INTERPRETIVE STRUCTURAL MODELING–FUZZY ANALYTIC NETWORK PROCESS–BENEFITS, OPPORTUNITIES, COSTS AND RISKS MODEL FOR SELECTING TECHNOLOGIES

2011 ◽  
Vol 10 (05) ◽  
pp. 843-871 ◽  
Author(s):  
AMY H. I. LEE ◽  
HE-YAU KANG ◽  
CHAO-CHENG CHANG
Keyword(s):  
New Product ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Appropriate Technology ◽  
Evaluation Framework ◽  
Technology Evaluation ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Multiple Experts ◽  
Fuzzy Analytic Network Process

Technology evaluation has been increasingly important because of the pressing needs of new product introduction in a competitive global market. To select the most appropriate technology, a firm needs to have a robust technology evaluation framework to evaluate several technology candidates based on multiple criteria and evaluated by multiple experts. Thus, this paper presents an integrated model for evaluating various technologies for New Product Development (NPD). A network that takes into account the benefits, opportunities, costs, and risks (BOCR) aspects of different technologies is constructed first, and interpretive structural modeling (ISM) is applied next to determine the interrelationships among the factors. Finally, fuzzy analytic network process (FANP) is used to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. The proposed model is applied in a flat panel manufacturer in selecting the most suitable panel technology.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document