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Article
Publication date: 4 February 2022

Anish Kumar, Sachin Kumar Mangla and Pradeep Kumar

Food supply chains (FSCs) are fast becoming more and more complex. Sustainability is a necessary strategy in FSCs to meet the environmental, economic and societal…

Abstract

Purpose

Food supply chains (FSCs) are fast becoming more and more complex. Sustainability is a necessary strategy in FSCs to meet the environmental, economic and societal requirements. Industry 4.0 (I4.0) applications for a circular economy (CE) will play a significant role in sustainable food supply chains (SFSCs). I4.0 applications can be used in for traceability, tracking, inspection and quality monitoring, environmental monitoring, precision agriculture, farm input optimization, process automation, etc. to improve circularity and sustainability of FSCs. However, the factors integrating I4.0 and CE adoption in SFSC are not yet very well understood. Furthermore, despite such high potential I4.0 adoption is also met with several barriers. The present study identifies and analyzes twelve barriers for the adoption of I4.0 in SFSC from an CE context.

Design/methodology/approach

A cause-effect analysis and prominence ranking of the barriers are done using Rough-DEMATEL technique. DEMATEL is a widely used technique that is applied for a structured analysis of a complex problems. The rough variant of DEMATEL helps include the uncertainty and vagueness of decision maker related to the I4.0 technologies.

Findings

“Technological immaturity,” “High investment,” “Lack of awareness and customer acceptance” and “technological limitations and lack of eco-innovation” are identified as the most prominent barriers for adoption of I4.0 in SFSC.

Originality/value

Successful mitigation of these barriers will improve the sustainability of FSCs through accelerated adoption of I4.0 solutions. The findings of the study will help managers, practitioners and planners to understand and successfully mitigate these barriers.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 3 February 2021

Neha Choudhary, Anish Kumar, Varun Sharma and Pradeep Kumar

Additive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the…

Abstract

Purpose

Additive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC.

Design/methodology/approach

Based on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach.

Findings

It has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers.

Originality/value

An approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.

Details

Journal of Advances in Management Research, vol. 18 no. 5
Type: Research Article
ISSN: 0972-7981

Keywords

Abstract

Subject area

Marketing, Pricing, Strategic marketing.

Study level/applicability

The case is developed for an MBA-level program.

Case overview

In May 2017, the telecom industry in India witnessed an intense price war over 4G (fourth generation) data prices. Gopal Vittal, CEO of Bharti Airtel was exploring various options on how best to respond to the situation. He had to take a final call regarding Bharti Airtel’s marketing team’s counter move to tackle this price war by Jio – should Bharti Airtel ignore it, accommodate it or retaliate with even lower prices? Bharti Airtel strongly believed that Jio pricing structure had violated “fair pricing” norms, and its pricing was anti-competitive. It had filed a case with the Telecom Regulatory Authority of India (TRAI) and the Competition Commission of India (CCI) to restrain Jio from further giving “free” promotional offers and penalize it for it. Could the legal recourse by Bharti Airtel dampen Jio’s consistent subscriber growth rate?

Expected learning outcomes

The case provides the students with an insight into how the competition focused on pricing happens in the telecom industry. The pricing war affects the profit margin of all competing companies. It changes the customer reference point for evaluating the competing products and services. The students would also learn practical applications of positive-sum pricing, pricing war, fair pricing and legal aspects of pricing. This case provides the students with an opportunity to understand the pricing war and how to respond to it in a particular situation; understand positive-sum pricing and negative-sum pricing in telecom industry context; understand legal aspects of pricing; and how to leverage data for gaining newer customer insights.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Subject code

CSS 8: Marketing.

Details

Emerald Emerging Markets Case Studies, vol. 8 no. 2
Type: Case Study
ISSN: 2045-0621

Keywords

Content available
Book part
Publication date: 19 March 2019

Sadia Samar Ali, Rajbir Kaur and Jose Antonio Marmolejo Saucedo

Abstract

Details

Best Practices in Green Supply Chain Management
Type: Book
ISBN: 978-1-78756-216-5

Article
Publication date: 22 December 2020

Thangamani Gurunathan

The purpose of this paper to present a practical and systematic approach to estimate the availability of a process plant using generalized stochastic Petri nets (GSPNs)…

Abstract

Purpose

The purpose of this paper to present a practical and systematic approach to estimate the availability of a process plant using generalized stochastic Petri nets (GSPNs). The actual live problem at a fluid catalytic cracking unit (FCCU) of a refinery is used to demonstrate this approach.

Design/methodology/approach

A majority of models used for estimation of availability of a complex system are based on the assumptions that the failure of the system is associated with only a few states, and the system does not face different operating conditions, repair actions and common-cause failures. In reality, this is often not the case. Therefore, it is necessary to construct more sophisticated models without such assumptions. In this paper, an attempt has been made to model interaction of component failures, partial failures of components and common-cause failures.

Findings

The superiority of this approach over other modeling approaches such as fault tree and Markov analysis is demonstrated. The proposed GSPN is a promising tool that can be conveniently used to model and analyze any complex systems.

Practical implications

GSPN was used to model the reactor-regenerator section of FCCU, which is quite a large system, which shows the strength of modeling capability. The use of Petri nets (PNs) for modeling complex systems for the purpose of availability assessment is demonstrated in this paper. Sensitivity analysis was also carried out for various subsystem/components.

Originality/value

No similar work has been conducted for FCCU using GSPN as per literature incorporating different operating conditions and common-cause failures. The understanding and usage of PNs require a steep learning curve for the practitioners, and this paper provides an approach to estimate availability measures for the complex system.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 7
Type: Research Article
ISSN: 0265-671X

Keywords

Abstract

Details

Best Practices in Green Supply Chain Management
Type: Book
ISBN: 978-1-78756-216-5

Article
Publication date: 25 August 2021

Neeraj Sharma, Rahul Dev Gupta, Rajesh Khanna, Rakesh Chandmal Sharma and Yogesh Kumar Sharma

The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and…

Abstract

Purpose

The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and mean roughness depth (Rz) set a compromise. The problem in the processing of Ti-6Al-4V by conventional processes is a high strength, high hardness, high tool wear. Due to which WEDM is adopted to machine Ti-6Al-4V biomedical alloy. Ti-6Al-4V alloy has a number of applications in the engineering and medical industries due to its high strength biocompatibility.

Design/methodology/approach

The effect of control factors (i.e. pulse on-time: Pon; pulse off-time: Poff; servo voltage: SV) on the MRR and Rz is investigated in the present research. The planning of experiments is done using a Taguchi-based L9 orthogonal array. The percentage influence of each factor on responses is also evaluated. The multi-objective optimization is done using the grey approach initially. After that, the results were also calculated using harmony search (HS). Therefore, a hybrid approach of grey and HS is used to find the optimized values of MRR and Rz.

Findings

The maximum value of grade calculated by grey-HS is 0.7879, while in the case of the experimental run the maximum value of grey grade is 0.7239. The optimized setting after improvisation at this grade value is Pon: 130 µs; Poff: 45 µs and SV: 70 V for MRR and Rz collectively. The validation of the suggested setting is completed by experimentation. The values of MRR and Rz are coming out to be 6.4 mm3/min and 13.84 µm, which represents improvised results after the implementation of the HS algorithm.

Originality/value

The integration of the grey approach with the HS principle in the manufacturing domain is yet to be explored. Therefore, in the present research hybrid approach of grey-HS is implemented in the manufacturing domain having applications in medical industries.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

Article
Publication date: 12 February 2019

Istefani Carisio de Paula, Elaine Aparecida Regiani de Campos, Regina Negri Pagani, Patricia Guarnieri and Mohammad Amin Kaviani

The purpose in this paper is to develop a systematic literature review aiming to reveal innovation opportunities associated with the thematic collaboration and trust in…

3236

Abstract

Purpose

The purpose in this paper is to develop a systematic literature review aiming to reveal innovation opportunities associated with the thematic collaboration and trust in the reverse logistics field.

Design/methodology/approach

The authors adopted a parallel analysis approach segregating the systematic literature review papers in two groups at NVivo®, collaboration and trust in the supply chain and collaboration and trust in reverse logistics, aiming to explore in the first group of papers insights for innovation on collaboration and trust in reverse logistics. The content analysis strategy was supported by the knowledge exchange theory described in Gravier et al. (2008).

Findings

Reverse logistics is hardly dissociated from broader sustainable supply chain management approaches, which make all considerations on collaboration and trust designed for such approaches valuable and valid for reverse logistics. Collaboration and trust concepts in supply chain and in reverse logistics contexts are quite similar, while collaboration/trust is mandatory for managing networks in sustainable approaches and in reverse logistics, as well. Downstream and upstream, the chain disruptive innovation business models may be developed between focal companies and returns system third-party logistics providers, fourth-party logistics providers or end-customers, in a business-to-customer collaboration approach. Several collaboration technologies are listed in three perspectives: knowledge sharing, knowledge generation and knowledge implementation.

Research limitations/implications

This study uses a specific protocol for the systematic literature review, and due to inclusion and exclusion criteria, other protocols can provide different results. The strategy of analysis under the knowledge exchange perspective may give a type of result different from other perspectives.

Originality/value

This research systematizes the existing knowledge on the collaborations and trust, which is a priority basis for reverse logistics, providing insights to researchers and practitioners in the area and identifying an agenda for future studies.

Details

Supply Chain Management: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 17 March 2022

Anish Purkayastha, Vikas Kumar and Dan Lovallo

This study seeks to understand how business group-affiliated firms perform in emerging markets. Previous studies identify that in spite of changes in the competitive…

Abstract

Purpose

This study seeks to understand how business group-affiliated firms perform in emerging markets. Previous studies identify that in spite of changes in the competitive landscape, seemingly counter-intuitively, business group affiliates outperform their standalone counterparts in emerging markets. This study adopts a knowledge-based view to resolve this apparent paradox.

Design/methodology/approach

This study uses a problematization methodology to qualitatively analyze the strategic decisions of Indian business group-affiliated firms. This study cross-validates their analysis with the empirical results available in published academic and practitioner articles.

Findings

Previous studies explain this outperformance paradox based on assumptions that include filling institutional voids, access to strategic resources and leveraging political connections. By questioning these assumptions, this study identifies an alternative explanation that is based on affiliates’ ability to adopt a strategic approach that balances knowledge capital acquired through international expansion and innovation.

Practical implications

The findings have important implications for managers of business group-affiliated firms in emerging markets, as well as for those in developed markets seeking to compete or collaborate in emerging markets.

Originality/value

This study provides a framework for managers of business group affiliates to identify suitable pathways to higher levels of competitive advantage.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 29 November 2018

Ankur Bahl, Anish Sachdeva and Rajiv Kumar Garg

The purpose of this paper is to prepare a methodology to evaluate availability analysis of distillery plant using Petri nets (PN). The effect of various failures, repair…

Abstract

Purpose

The purpose of this paper is to prepare a methodology to evaluate availability analysis of distillery plant using Petri nets (PN). The effect of various failures, repair rate and availability of repair facilities on the system has been studied.

Design/methodology/approach

The PN model of a system is developed to study the dynamic behavior of the system under various working conditions. Availability analysis of the plant is presented taking into consideration of failure and repair rates of their subsystems and has been carried out using Monte Carlo simulation.

Findings

The bottle washing machine is the most critical machine from a maintenance point of view which has more compact on the system performance as compared to other machines. The availability analysis of distillery plant helps the management to adopt a suitable maintenance policy to improve upon plant production and plant availability.

Originality/value

The application of this proposed PN-based approach is very useful in finding the most critical subsystem and its effect on the performance of the system in terms of availability and plant production. Further, the advantage of the PN approach is that dynamic behavior of the system under consideration is modeled with graphic representation of the system and given distribution can be associated with the subsystems for analysis. The superiority of this approach over others, such as network, fault tree and Markov analysis, is outlined in the paper.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 10
Type: Research Article
ISSN: 0265-671X

Keywords

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