Investigating the Drivers and Barriers of Reverse Logistics Practices in the Pharmaceuticals Supply Chain

2022 ◽  
pp. 169-206
Author(s):  
Chehab Mahmoud Salah Eldin Ali Elbelehy ◽  
Alaa Mohamed Attia Abdelsalam
Keyword(s):  
Supply Chain ◽  
Pharmaceutical Company ◽  
Empirical Research ◽  
Reverse Logistics ◽  
Public Awareness ◽  
Methodological Approach ◽  
Case Analysis ◽  
Structural Modeling ◽  
Interpretive Structural Modeling

This empirical research investigates the reverse logistics practices adopted by a leading pharmaceutical company in Egypt, the drivers behind the applied reverse logistics activities, and the barriers affecting the application of reverse logistics. The methodological approach of interpretive structural modeling (ISM) is applied to study the mutual influences across barriers listed by a preliminary case analysis, and to identify the “driving” barriers which may worsen other barriers, and “dependent” barriers influenced by the driving barriers. A key finding of the analysis is that lack of regulation enforcement and lack of public awareness regarding the importance of reverse logistics are the most driving barriers influencing the rest of the identified barriers.

Analyzing Pharmaceutical Reverse Logistics Barriers

2017 ◽  
Vol 7 (1) ◽  
pp. 16-48 ◽  
Author(s):  
Chehab Mahmoud Salah Eldin Ali
Keyword(s):  
Reverse Logistics ◽  
Public Awareness ◽  
Methodological Approach ◽  
Case Analysis ◽  
Structural Modeling ◽  
Pharmaceutical Manufacturer ◽  
Interpretive Structural Modeling

The purpose of this paper is to explore the barriers affecting the application of reverse logistics at a leading pharmaceutical manufacturer in Egypt. The methodological approach of Interpretive Structural Modeling (ISM) is applied to study the mutual influences across barriers listed by a preliminary case analysis, and to identify the “driving” barriers which may worsen other barriers, and “dependent” barriers influenced by the driving barriers. Findings: This paper reveals that as many as 17 reverse logistics barriers are affecting the case company in implementing reverse logistics and these barriers have been ranked into 10 levels using the ISM method. The analysis also showed that eight dependent barriers are influenced by nine driving barriers. A key finding of the analysis is that lack of regulation enforcement and lack of public awareness regarding the importance of reverse logistics are the most driving barriers influencing the rest of the identified barriers.

Analysis of third party reverse logistics provider using interpretive structural modeling

2012 ◽  
Vol 140 (1) ◽  
pp. 204-211 ◽  
Author(s):  
Kannan Govindan ◽  
Murugesan Palaniappan ◽  
Qinghua Zhu ◽  
Devika Kannan
Keyword(s):  
Reverse Logistics ◽  
Structural Modeling ◽  
Third Party ◽  
Interpretive Structural Modeling

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.

scholarly journals Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Structural Modeling ◽  
Influential Factors ◽  
Previous Literature ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Modeling Methodology ◽  
Supply Chain Finance

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

Sustainable Supply Chain Management

2019 ◽  
pp. 103-114
Author(s):  
Vimal K. E. K. ◽  
Nishal M. ◽  
Jayakrishna K.
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Economic ◽  
Environmental Performance ◽  
High Volume ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management

The integration of sustainable development concepts with the traditional supply chain improves the environmental performance and green image among its stakeholders. During adoption of sustainability concepts in traditional supply chain management, some hurdles can be anticipated. These hurdles are called barriers, and industries must equip themselves to remove them. The difficulties associated with removal of barriers are identification and analysis for selection significant barriers. In this chapter, the significant barriers for incorporating sustainability in supply chain of high volume manufacturing are consolidated from the literature and categorized into seven groups: people, strategic, environmental, economic, societal, regulatory, and functional. The widely used evaluation methods are interpretive structural modeling and DEMATEL for which the procedure and guidance to infer the results are detailed. The chapter is expected to support the practicing engineers involved in implementation of sustainable concepts in supply chain.

An Interpretive Structural Modeling Approach for Analysis of Interactions among the Barriers in Reverse Logistics

2011 ◽  
Vol 110-116 ◽  
pp. 2699-2707
Author(s):  
Santosh Kumar Sharma ◽  
S.S. Mahapatra ◽  
Biranchi Narayan Panda ◽  
Sadanand Sahu
Keyword(s):  
Reverse Logistics ◽  
Return On Investment ◽  
Structural Modeling ◽  
Product Returns ◽  
Crucial Issue ◽  
Interpretive Structural Modeling ◽  
Holistic View ◽  
Modeling Approach ◽  
Distribution Structure ◽  
Significant Return

Reverse logistics (RL), which refers to the distribution activities involved in product returns, has recently received much attention because many companies are using it as a strategic tool to serve their customers and can generate good revenue. An efficient reverse distribution structure may lead to a significant return on investment as well as a significantly increased competitiveness in the market. Therefore, analysis of the interaction among the major barriers, which hinder or prevent the application of reverse logistics, is a crucial issue. Existing models have focused on diagnosing these barriers independently. As a result, the holistic view in understanding the barriers is not accounted for. This paper utilizes the Interpretive Structural Modeling (ISM) methodology to understand the mutual influences among the barriers so that those driving barriers, which can aggravate few more barriers and those independent barriers, which are most influenced by driving barriers, are identified.

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