Search results

1 – 10 of 54
Article
Publication date: 2 May 2017

Gunjan Soni and Rambabu Kodali

The purpose of this paper is to identify a classification scheme which represents the variation in business and supply chain performance of supply chains in Indian…

Abstract

Purpose

The purpose of this paper is to identify a classification scheme which represents the variation in business and supply chain performance of supply chains in Indian manufacturing industry. Classification is done by presenting an empirical taxonomy of clusters representing supply chains in Indian manufacturing industry based on variation in supply chain excellence index (SCEI) and business performance index (BPI).

Design/methodology/approach

The clustering of supply chains in Indian manufacturing industry is done by considering BPI and SCEI as clustering variables, which were found by using survey responses and results of a prior empirical study which was carried out in Indian manufacturing industry. The cluster analysis is performed by using Ward’s agglomerative hierarchical clustering followed by using K-means clustering algorithm to establish final set of clusters.

Findings

It was found that supply chains in Indian manufacturing industries can be clustered in four major clusters which are named as strategic, celebrity, capable and undeveloped cluster. The characteristics of these clusters reveal some major characteristics of supply chains in Indian manufacturing industry.

Originality/value

The research work presented in this paper takes a novel way to introduce the clusters of supply chains in Indian manufacturing industry. The researchers who are seeking patterns in large data sets of manufacturing companies of Indian industry will be benefitted by using the proposed clusters. While practitioners who are seeking to move their supply chain one step ahead will also reap the benefits of the paper by seeking the characteristics of particular cluster.

Details

Benchmarking: An International Journal, vol. 24 no. 4
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 11 August 2021

Ganesh Tanpure, Vinod Yadav, Rakesh Jain and Gunjan Soni

The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework…

Abstract

Purpose

The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework for the adoption of PLM systems in manufacturing organizations to meet the actual requirements of industries.

Design/methodology/approach

First, a systematic review of extant literature was performed, and further, the case study approach is opted to study the process of New Product Development (NPD) in a manufacturing organization. Triangulation methodology was adopted wherein the interview results, actual observations, and authorized documentations were used to validate the result and provide conclusions.

Findings

A conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities.

Practical implications

The study could be helpful for Techno-Functional Managers. For individuals with only functional/technical knowledge, additional training might be required to adopt the framework in actual practices.

Originality/value

The paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.

Details

Benchmarking: An International Journal, vol. 29 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 25 October 2021

Dnyaneshwar J. Ghode, Vinod Yadav, Rakesh Jain and Gunjan Soni

A supply chain (SC) involves many stakeholders, directly or indirectly, for satisfying consumers’ requirements. SC management is restricted by a lack of information…

Abstract

Purpose

A supply chain (SC) involves many stakeholders, directly or indirectly, for satisfying consumers’ requirements. SC management is restricted by a lack of information sharing among stakeholders as parties of SC do not have direct communication and/or are not willing to share private and competitively sensitive information. In the SC, the bullwhip effect (BWE) is an undesirable phenomenon that aggravates the SC performance and increases the overall cost of SC. The main culprit of BWE is the lack of SC coordination among the parties, which results from wrong and lack of information sharing. Blockchain technology (BT) has the main characteristic of distributed shared ledger that makes all parties in the SC network able to access data. This paper aims to develop a BT model and implement it into the SC.

Design/methodology/approach

A blockchain is developed consisting four SC stakeholders and an integrated development environment has been used for coding in Python.

Findings

The analysis of the impact of the adoption of BT in SC shows the reduction in BWE.

Originality/value

In SC, BT can be considered as an effective tool to share the demand data among all SC partners. Sharing of such data will improve SC planning and reduce the BWE.

Abstract

Details

The International Journal of Logistics Management, vol. 33 no. 3
Type: Research Article
ISSN: 0957-4093

Article
Publication date: 6 February 2017

Surya Prakash, Gunjan Soni and Ajay Pal Singh Rathore

The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content…

2721

Abstract

Purpose

The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM literature seems to require studies that utilize risk typology, sources of risk, etc. for reviewing the topic. The purpose of this paper is to bridge the gap by synthesizing the information obtained from 343 articles across 85 journals. This study also presents a critical analysis of the content of SCRM in a structured manner to identify the directions for future research.

Design/methodology/approach

A systematic literature review (SLR) was devised and adopted, which involved the selection, classification, and evaluation of 343 research articles published over a period of 11 years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of the risk management process (RMP).

Findings

The analysis of extant literature shows that there is a marked rise in research in the SCRM area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain (SC) operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that the manufacturing sector is most affected by risks and highly investigated by researchers.

Practical implications

A complete process for SCRM based on risk stratification, objectives of risk management, and RMP will be a guiding model for firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools, and techniques to address the risks in modern SC operations.

Originality/value

An SLR and risk-based content classification of SCRM literature were performed. To identify, locate, select, and analyze the SCRM literature, a structured and systematic process was adopted with some very rarely used methods such as two levels of search keywords, and strings were formulated to locate the most relevant articles in major academic databases.

Details

Journal of Advances in Management Research, vol. 14 no. 1
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 14 August 2017

Surya Prakash, Gunjan Soni and Ajay Pal Singh Rathore

The purpose of this paper is to assist a manufacturing firm in designing the closed-loop supply chain network under risks that are affecting its supply quality and…

Abstract

Purpose

The purpose of this paper is to assist a manufacturing firm in designing the closed-loop supply chain network under risks that are affecting its supply quality and logistics operations. The modeling approach adopted aims at the embedding supply chain risks in a closed-loop supply chain (CLSC) network design process and suggests optimal supply chain configuration and risk mitigation strategies.

Design/methodology/approach

The method proposes a closed-loop supply chain network and identifies the network parameter and variables required for closing the loop. Mixed-integer-linear-programming-based mathematical modeling approach is used to formulate the research problem. The solutions and test results are obtained from CPLEX solver.

Findings

The outcomes of the proposed model were demonstrated through a case study conducted in an Indian hospital furniture manufacturing firm. The modern supply chain is mapped to make it closed loop, and potential risks in its supply chain are identified. The supply chain network of the firm is redesigned through embedding risk in the modeling process. It was found that companies can be in great profit if they follow closed-loop practices and simultaneously keep a check on risks as well. The cost of making the supply chain risk averse was found to be insignificant.

Practical implications

Although the study was conducted in a practical case situation, the obtained results are not indiscriminate to the other circumstances. However, the approach followed and proposed methodology can be applied to many industries once a firm decides to redesign its supply chain for closing its loop or model under risks.

Originality/value

By using the identified CLSC parameters and applying the proposed network design methodology, a firm can design/redesign their supply chain network to counter the risk and accordingly come up with planned mitigation strategies to achieve a certain degree of robustness.

Article
Publication date: 6 February 2017

Surya Prakash, Gunjan Soni, Ajay Pal Singh Rathore and Shubhender Singh

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation…

4212

Abstract

Purpose

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies. It is achieved by understanding the dynamics between various risks in perishable food supply chain and modeling them using interpretive structural modeling (ISM).

Design/methodology/approach

Four categories and 17 types of risk are established from literature and conducting brainstorming sessions with managers/engineers in Indian dairy firms. A methodology is proposed using ISM, risk priority number and risk mitigation number to prioritize risk mitigation strategy decisions for the dairy industry.

Findings

For a perishable food supply chain, risk positioned at lower levels (levels 1 or 2) in the hierarchy should be targeted first, while formulating mitigation strategies. To investigate further, risk- enabling factors which are identified for an Indian dairy firm for these levels 1 and 2 risks and mitigation strategy prioritization show that supplier side risks are more dominant followed by market risks and process risks.

Research limitations/implications

This proposed methodology has not been statistically validated or empirically tested, and factors taken are in the Indian context, but the authors believe that the study is highly relevant to other markets as well because the ISM-based analysis is for generic perishable food supply chain environment.

Practical implications

This study provides a useful approach to managers/decision makers to identify, analyze and prioritize risk in the supply chain. It also provides insights into the mutual relationships of supply chain risks which would help them to focus on the effective risk mitigation strategies formulation. The study provides the insights to benchmark and risk management in the dairy industry environment with priority considerations.

Originality/value

This paper provides an integrated approach to identifying, quantify, analyze, evaluate and mitigate the risks of perishable food (in the dairy environment) in the Indian context.

Details

Benchmarking: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 3 July 2020

Dnyaneshwar Jivanrao Ghode, Vinod Yadav, Rakesh Jain and Gunjan Soni

Adoption of blockchain technology (BT) leads to shrinking supply chains, produces a better quality product, saves product development time and increases the customized…

1153

Abstract

Purpose

Adoption of blockchain technology (BT) leads to shrinking supply chains, produces a better quality product, saves product development time and increases the customized offering to the customer. Since it is a new and growing area of research, researchers and practitioners are not entirely aware of challenges in the adoption of BT in supply chain (SC). Therefore, the objective of this research is to provide an overview of BT in SC and modeling of challenges in the adoption of BT in SC.

Design/methodology/approach

Interpretive structural modeling (ISM) is used to model the challenges of adoption of BT in SC. Challenges are identified by the literature review and verified by expert's opinions.

Findings

This study presents some key challenges, i.e. to develop trust within SC management system, obey the governance rules and regulations of institution while implementation of BT in SC, provide transparency of data, obtain tamperproof data to avoid fraud, improve coordination and information sharing among the SC partners, choose a profit-earning product SC for adoption of BT, adopt societal changes and train the participants to strengthen behavioral intention towards adoption of BT in SC. Additionally, interrelationships among the challenges have been identified. This work discusses potential implications based on challenges and provides a platform for the adoption of BT in SC.

Originality/value

The interrelations of the challenges will provide valuable understandings for developing BT solutions in SC to the practitioners.

Details

Journal of Manufacturing Technology Management, vol. 32 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 22 April 2020

Dnyaneshwar Ghode, Vinod Yadav, Rakesh Jain and Gunjan Soni

Blockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC)…

2330

Abstract

Purpose

Blockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC). The main challenge is to enhance trust among the SC stakeholders. This paper aims to identify and prioritize the factors and its challenges that influence the adoptability of BT in SC. The prioritization of these factors will be helpful to the practitioners to decide the strategy of implementing the BT in SC.

Design/methodology/approach

The factors influencing adoption of BT are identified from the review of literature and expert opinion is used to rank the factors influencing the adoptability of BT in SC using grey relational analysis (GRA).

Findings

We identified and prioritized key factors: inter-organizational trust and relational governance as organizational challenge, data transparency and data immutability as technological challenge, interoperability and product type as operational challenge and social influence and behavioral intention as social challenge that influences adoptability of BT in SC.

Originality/value

The priority of these factors will guide future researchers and industry practitioners to plan rational and financial strategy for implementing BT in SC.

Details

Journal of Enterprise Information Management, vol. 33 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 17 May 2022

Samir Ramdas Kale, Srinivas Kota, Naga Vamsi Krishna Jasti, Gunjan Soni and Surya Prakash

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the…

Abstract

Purpose

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations.

Design/methodology/approach

A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM).

Findings

This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size.

Practical implications

This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry.

Originality/value

To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.

1 – 10 of 54