Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

2013 ◽  
Vol 12 (1) ◽  
pp. 15-34 ◽  
Author(s):  
K. Govindan ◽  
S. G. Azevedo ◽  
H. Carvalho ◽  
V. Cruz-Machado
Keyword(s):  
Supply Chain ◽  
Structural Modeling ◽  
Supply Chain Performance ◽  
Interpretive Structural Modeling ◽  
Modeling Approach

Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach

2017 ◽  
Vol 19 (1) ◽  
pp. 48-68 ◽  
Author(s):  
Rajesh Katiyar ◽  
M. K. Barua ◽  
Purushottam L. Meena
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Structural Modeling ◽  
Business Environment ◽  
Supply Chain Performance ◽  
Interpretive Structural Modeling ◽  
Fuzzy Micmac

The purpose of this article is to explore key barriers in measuring supply chain performance (SCP). In today’s competitive business environment, companies are facing various issues in measuring SCP because of various constraints and these constraints act as a barrier. This article first explores the key barriers that affect SCP measurement (SCPM) and then investigates the mutual relationships among these barriers. Interpretive Structural Modeling (ISM) with fuzzy Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) approach is employed to investigate the interrelationships among key barriers. The results show that the lack of awareness related to SCPM is one of the critical barriers. Further, various strategies are suggested to eradicate the critical barriers in measuring SCP for the managers.

Enablers and Barriers of Flexible Green Supply Chain Management: A Total Interpretive Structural Modeling Approach

2016 ◽  
Vol 17 (2) ◽  
pp. 171-188 ◽  
Author(s):  
K. T. Shibin ◽  
Angappa Gunasekaran ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey ◽  
Manju Singh ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Modeling Approach

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

scholarly journals Pemodelan Sistem Traceability Halal Supply Chain dalam menjaga Integritas Produk Makanan Halal Dengan Pendekatan Interpretive Structural Modeling (ISM)

2019 ◽  
Vol 2 (2) ◽  
pp. 70
Author(s):  
Haryono Haryono ◽  
Dwi Iryaning Handayani
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Tracking System ◽  
Food Products ◽  
Structural Modeling ◽  
Food Supply Chain ◽  
Interpretive Structural Modeling ◽  
Traceability System ◽  
Production Processes ◽  
Halal Food

Fraud of fake halal label products does not open halal production processes about the supply chain from upstream to downstream. Therefore, in product integrity agreements, it is necessary to implement traceability in the food supply chain as an effective tool in ensuring product halalness and ensuring food products are safe. Therefore, this study tries to make a model of halal Supply Chain Traceability in the integrity agreement of halal food products. The method used in modeling the halal supply chain traceability system using Interpretive Structural Modeling (ISM). Elements of a halal supply chain tracking system, in addition to halal procurement, halal manufacturing, halal logistics, halal distribution, supplier traceability, producer traceability, logistics traceability, distribution traceability. ISM Modeling results in the integration of halal products are located in Quadran IV Driver Power with halal manufacturing, producer traceability, supplier traceability, Quadran III Strong-Very Driver Depends on Variables (Linkage), Traceability system elements of the halal supply chain that are in accordance with this Quadran will be sought integrity of halal products and has strong advantages as a driver, this quadrant contains halal procurement, traceability distribution, halal logistics. Whereas the halal supply chain traceability system that is not related to the integrity of halal products comes in. Quadran II Driver Power namely: halal logistics and distribution traceability.

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

2018 ◽  
Vol 29 (3) ◽  
pp. 478-514 ◽  
Author(s):  
Kavilal E.G. ◽  
Shanmugam Prasanna Venkatesan ◽  
Joshi Sanket
Keyword(s):  
Supply Chain ◽  
Automotive Industry ◽  
Structural Modeling ◽  
Theoretic Approach ◽  
Passenger Vehicle ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Numerical Index

Purpose Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers. Design/methodology/approach In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC. Findings A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors. Originality/value The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

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