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Article
Publication date: 12 June 2020

Bharat Singh Patel, Cherian Samuel and Goutam Sutar

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating…

Abstract

Purpose

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating demand pattern, supply chain disruption and global competition. An agile organization must possess a promising capability of swiftly responding to dynamic conditions while being cost-effective without compromising the efficiency. Such high-performance adaptability necessitates the role of supply chain managers to maximize the agility of the supply chain through the efficient use of input resources. Therefore, the purpose of this study to reveal a new decision support tool that would allow the key decision-makers to maximize the agility of the supply chain while deploying the input resources more effectively.

Design/methodology/approach

In present study, an integrated approach of popular analytic hierarchy process (AHP) and goal programming (GP) has been adopted as a potential solution methodology. AHP has been implemented to allocate the local and global weights to decision variables, whereas GP incorporates the AHP weights into the desired model.

Findings

It was found that the proposed decision support tool restricts the value of the decision variables for maximizing the agility and optimizing the usage of input resources. The results obtained from the model validate the objective of achieving targeted agility level within the available resource limitations.

Research limitations/implications

The decision support tool developed in the proposed study offers a systematic and effectively simple approach to supply chain managers with a goal of identifying the degree of focus under each decision variable in the respective manufacturing organizations.

Originality/value

A novel decision support tool has been developed known as an agility control system), which helps the decision-maker to achieve the required agility in the supply chain by controlling the decision variables.

Details

Journal of Modelling in Management, vol. 15 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 6 March 2017

Bharat Singh Patel, Cherian Samuel and S.K. Sharma

The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based…

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Abstract

Purpose

The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based framework is used for the calculation of agility. The case study was carried out in a North India-based manufacturing organization.

Design/methodology/approach

In this study, the concept of a multi-grade fuzzy logic approach is used. Using this concept, the overall agility index has been determined. The fuzzy logic approach has been used to overcome the disadvantages such as impreciseness and vagueness using a scoring method.

Findings

From the analysis, it is observed that the organization on which the study was performed is “very agile.” After evaluating the agility level, the fuzzy performance importance index is calculated, which helps to identify the barriers of agility in the supply chain. These barriers help decision makers to implement appropriate improvement measures for improving agility level. Overall, 11 barriers were identified in the study.

Research limitations/implications

Managers of the contemporary manufacturing organization have to measure the agility level of the organization and identify barriers to agility in order to survive in a competitive environment. The obstacles identified in this study are used to improve the performance of the organization. The enterprise should improve on the weak areas in order to achieve the highest agility level.

Originality/value

The agile supply chain (ASC) enablers proposed by previous researchers are not sufficient for the evaluation of agility of a supply chain. There are a few more ASC enablers such as customer satisfaction, flexibility and adaptability that also play a vital role in making a supply chain agile. Adding these three ASC enablers, a total of seven ASC enablers along with their attributes are being considered for the development of a conceptual model.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 2
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 10 July 2021

Ajeet Kumar Yadav and Cherian Samuel

This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors…

Abstract

Purpose

This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors based on their interrelationships.

Design/methodology/approach

This paper has used a mixed-approach of literature review and expert opinion to identify the factors of RSC. For the development of the structural model and clustering of the factors, this paper has used the total interpretive structural modeling approach with Matrice d’Impacts Croises-Multiplication Applique and Classment and decision-making trial and evaluation laboratory analysis.

Findings

In total, this study has identified 17 factors that enable the 3R capability of the RSC. The result shows that the factors have a close dependence relationship with supply chain (SC) risk management culture as the most influencing factor. Further, this study classifies the factors into enablers and strategies.

Research limitations/implications

This research work is the theoretical contribution to the RSC concept and helps the experts to develop and improve the resilient ability in the SC. This research is based entirely on subjective expert feedback; thus, the results are sensitive to the expert’s judgment.

Practical implications

This research will help the decision-makers in allocating the resources and policies to develop or improve the SC capabilities.

Originality/value

This research work is the first kind of research in the field of the RSC that considers the 3R concept to identify and model the resilient factors of the SC. Along with the theoretical concept, this research provides empirical evidence for the importance ranking of the factors.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 30 November 2018

Anand Jaiswal, Cherian Samuel and Chirag Chandan Mishra

The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices.

Abstract

Purpose

The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices.

Design/methodology/approach

The study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO2 emission is estimated over each of the junction in tandem and collectively over each of the routes.

Findings

The outcome of the study is a mathematical formulation, using queuing theory to estimate CO2 emissions over different route choices. Research finding estimated total time spent and subsequent CO2 emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO2 emissions.

Research limitations/implications

Proposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction.

Practical implications

The work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO2 emissions.

Originality/value

Proposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.

Details

Management of Environmental Quality: An International Journal, vol. 30 no. 3
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 13 November 2018

Anand Jaiswal, Cherian Samuel and G. Abhishek Ganesh

The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in…

Abstract

Purpose

The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in the logistics network.

Design/methodology/approach

The paper proposes an optimisation model to reduce the pollution emission in the logistics of supply chain network in SMEs. The work considers vehicle routing and selection of suppliers, manufacturers and assemblers according to the availability of various Bharat Stage Emission Standards type vehicles. Introsort sorting based selection algorithm is used to solve the problem. The proposed solution is implemented using C++ on an experimental data set for analysing the model.

Findings

The outcome of the study is a pollution optimisation model for logistics of SMEs. The finding shows an approach to reduce total vehicular pollution emission in the logistics network in meeting the demand. The model is tested over an experimental study, and the result findings show which supply chain entities, type of environmental standard vehicles and vehicle routes are selected for the specific demand.

Research limitations/implications

The proposed model is confined to pollution optimisation with limited parameters only and does not consider cost and other factors that can be included in future work.

Practical implications

The work can be used for limiting pollution in logistics system as the corporate social responsibility of enterprises.

Originality/value

Proposed work presents a sustainable and green solution for pollution control in logistics activities of the SMEs.

Details

Management of Environmental Quality: An International Journal, vol. 30 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

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Article
Publication date: 9 July 2018

Vinaytosh Mishra, Cherian Samuel and S.K. Sharma

Diabetes is one of the major healthcare challenges in India. The chronic nature of the disease makes the lifetime cost of the treatment exorbitantly high. The medicine…

Abstract

Purpose

Diabetes is one of the major healthcare challenges in India. The chronic nature of the disease makes the lifetime cost of the treatment exorbitantly high. The medicine cost contributes a major size of expense in diabetes management. To make healthcare available to poorest of the poor, it is imperative to control the rising cost of diabetes treatment. The earlier research works done in this area focuses more on inventory management techniques to control the cost of healthcare. Less interest is shown in the role of better supply chain partnership (SCP) in reducing the cost of procurement of medicine. The purpose of this paper is to develop and use the SCP assessment framework for a diabetes clinic. The approach is generalized enough to be adopted for other similar organization.

Design/methodology/approach

This paper adopts self-assessment criteria of the European Foundation for Quality Management (EFQM) business excellence model for analysis of SCP in the supply chain of a private diabetes clinic in Varanasi. The paper uses analytic hierarchy process (AHP) method for calculation of weights of criteria.

Findings

The EFQM-based framework can be adopted as easy-to-use tool to make an objective assessment of the SCP. The proposed model in the study is a balanced model between enablers and results, which includes multiple assessment dimensions. The supply chain performance score of the diabetes clinic under study was found as the Tool Pusher, which means the effort in direction of SCP is not too good. The organization needs to clearly define the SCP goal and analyze the results to identify the gap areas.

Originality/value

The study is first of its kind and contributes to the literature by providing non-prescriptive and easy-to-use SCP assessment framework, for chronic disease care. The case study approach provides a procedure for the healthcare organization willing to adopt this approach.

Details

International Journal of Health Care Quality Assurance, vol. 31 no. 6
Type: Research Article
ISSN: 0952-6862

Keywords

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Article
Publication date: 7 November 2018

Abhishek Kumar Singh and Cherian Samuel

The aim of this paper is, first, the desire to present the issue of retail sector competitiveness with the simultaneous determination of factors having an impact on…

Abstract

Purpose

The aim of this paper is, first, the desire to present the issue of retail sector competitiveness with the simultaneous determination of factors having an impact on competitiveness and their development. The main aim is to identify the factors and relationships among those factors to strengthen the competitive positioning of apparel retail stores.

Design/methodology/approach

The literature review and experts’ opinion helped to identify the key factors. The relationships among the factors were obtained by using interpretive structural modelling (ISM). Experts’ opinions were collected again for the fuzzy direct relationship matrix. Factors were further classified by driver and dependence power using the fuzzy matrix of cross-impact multiplications applied to classification (FMICMAC) analysis.

Findings

Total nine strengthening factors (SFs) identified here, and developed an integrated model using ISM and classified it into four clusters with the help of driver and dependence power. The model hierarchy shows the interrelationships among these SFs. The retail environment, Information and Communication Technology, technology adoption and human resource management were found to be the most significant factors needing some spotlight by the top-level authority.

Research limitations/implications

The study will help managers to understand the variables and their relationships and to select the right factors to achieve a potential competitive position. Relationships among the factors were obtained through the opinions of experts and academicians. Expert opinion is a subjective judgement, and biasing in judgement might affect the result.

Originality/value

The research presents the first kind of an integrated model using ISM and FMICMAC to identify nine factors and classify them by their driving and dependence power. The developed model helps in the identification, classification and selection of factors as per requirement. This study will assist managers to understand the variables and their relationships and to select right factors to achieve a potential competitive position.

Details

Journal of Modelling in Management, vol. 13 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 7 September 2010

Cherian Samuel, Kasiviswanadh Gonapa, P.K. Chaudhary and Ananya Mishra

The purpose of this paper is to analyse health service supply chain systems. A great deal of literature is available on supply chain management in finished goods inventory…

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4880

Abstract

Purpose

The purpose of this paper is to analyse health service supply chain systems. A great deal of literature is available on supply chain management in finished goods inventory situations; however, little research exists on managing service capacity when finished goods inventories are absent.

Design/methodology/approach

System dynamics models for a typical service‐oriented supply chain such as healthcare processes are developed, wherein three service stages are presented sequentially.

Findings

Just like supply chains with finished goods inventory, healthcare service supply chains also show dynamic behaviour. Comparing options, service reduction, and capacity adjustment delays showed that reducing capacity adjustment and service delays gives better results.

Research limitations/implications

The study is confined to health service‐oriented supply chains. Further work includes extending the study to service‐oriented supply chains with parallel processing, i.e. having more than one stage to perform a similar operation and also to study the behaviour in service‐oriented supply chains that have re‐entrant orders and applications. Specific case studies can also be developed to reveal factors relevant to particular service‐oriented supply chains.

Practical implications

The paper explains the bullwhip effect in healthcare service‐oriented supply chains. Reducing stages and capacity adjustment are strategic options for service‐oriented supply chains.

Originality/value

The paper throws light on policy options for managing healthcare service‐oriented supply chain dynamics.

Details

International Journal of Health Care Quality Assurance, vol. 23 no. 7
Type: Research Article
ISSN: 0952-6862

Keywords

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Article
Publication date: 20 July 2015

Atul Kumar Tiwari, Anunay Tiwari and Cherian Samuel

Changes are inevitable in risky and uncertain business environments of today’s volatile supply chains. The concept of flexibility originates from this need to mitigate the…

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2208

Abstract

Purpose

Changes are inevitable in risky and uncertain business environments of today’s volatile supply chains. The concept of flexibility originates from this need to mitigate the ill-effects of risks and uncertainty in supply chains. In this paper, an attempt is made to present an exhaustive review on supply chain flexibility (SCF) and its implementation to gain strategic advantages.

Design/methodology/approach

A citation analysis method is employed in this paper to discuss, analyse and apprehend the conceptual, empirical, analytical and simulation studies done in this field. In this paper, about 110 papers on flexibility from many reputed journals are examined to study and assimilate various aspects of flexibility.

Findings

SCF embraces a unified process-based view including the core processes such as procurement, sourcing, distribution and logistics and mitigates uncertainty or risks involved. The review helps to assimilate the key knowledge about relevant practices in SCF and helps to draw implementing strategies while offering managerial insight on the subject.

Research limitations/implications

Citation and co-citation analysis is done to review the SCF literature. Efforts are made to investigate relevant papers from various journals regarding its ability to mitigate risk or aid in making strategic decision. The study, however, is limited to certain industries in the papers as per chosen approach here. The strategies described in here may further be verified by the researchers and practitioners pertaining to their study or industries focused.

Practical implications

It provides managerial insight for practitioners on how to use flexibility within the firm and across supply chain while considering various trade-offs.

Originality/value

This paper is unique as a review paper, as it encompasses various kinds of studies done on SCF from conceptual models to mathematical models. Further, it briefs with the current practices in industries/SC towards being flexible. It talks of various trade-offs in pursuit of flexibility and concludes while suggesting numerous research gaps and opening new dimensions for SCF research. It offers many managerial and academic implications.

Content available
Article
Publication date: 7 September 2010

Keith Hurst

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1327

Abstract

Details

International Journal of Health Care Quality Assurance, vol. 23 no. 7
Type: Research Article
ISSN: 0952-6862

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