Vipul Jain

Prof. Dr. Vipul Jain

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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2014 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
USUmang Soni
Umang Soni
Vipul JainVipul Jain
Vipul Jain
SKSameer Kumar
Sameer Kumar

1 November 2016 in Expert Systems with Applications
Verified
Journal Article
Closed access
FDFikri Dweiri
Fikri Dweiri
SKSameer Kumar
Sameer Kumar
Sharfuddin Ahmed KhanSharfuddin Ahmed Khan
Sharfuddin Ahmed Khan
Vipul JainVipul Jain
Vipul Jain

11 July 2017 in International Journal of Production Research
Verified
Journal Article
Closed access
Vipul JainVipul Jain
Vipul Jain
SKSameer Kumar
Sameer Kumar
USUmang Soni
Umang Soni
CCCharu Chandra
Charu Chandra
The purpose of this study is to develop a hierarchy-based model for supply chain resilience (SCRES), explaining the dynamics between various enablers and validating the model empirically. Literature review and a survey identified the enablers. Interpretive structural modelling (ISM) is used to analyse the levels of relationships among enablers. Based on their driving power and dependence, these enablers are also classified into different categories. Structural equation modelling is used to validate the hierarchical SCRES model and test the path analytical model. The study provides empirical justification for a framework that identifies 13 key enablers of resilient supply chain practices and describes the relationship among them using ISM. It also classifies them using Matrix of Cross Impact Multiplications Applied to Classification analysis on the basis of their driver power and dependence. The key finding is that using the proposed model, organisations can enhance their resilience potential by modifying their strategic assets. The model was tested using rigorous statistical tests including convergent validity, discriminant validity and reliability. The holistic view offered by the proposed model depicts the relationship among enablers to achieve SCRES.

1 April 2013 in International Journal of Production Research
Verified
Journal Article
Closed access
ASAvinash Samvedi
Avinash Samvedi
Vipul JainVipul Jain
Vipul Jain
Felix T. S. ChanFelix T. S. Chan
Felix T. S. Chan
Risk is inherent in almost every activity of supply chain management. With the ever-increasing push for efficiency, supply chains today are getting more and more risky. Adding to the difficulty of dealing with these risks is the amount of subjectivity and uncertainty involved. This makes analytical examination of the situation very difficult, especially as the amount of information available at a particular time is not sufficient for such an analysis. Thus a supply chain risk index, which captures the level of risk faced by a supply chain in a given situation, is the need of the hour. This study is an effort towards quantifying the risks in a supply chain and then consolidating the values into a comprehensive risk index. An integrated approach, with a fuzzy analytical hierarchy process (AHP) and a fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) as its important elements, has been used for this purpose. Fuzzy values in this study help in capturing the subjectivity of the situation with a final conversion to a crisp value which is much more comprehensible. A case study is used to illustrate the proposed methodology.

1 January 2014 in Omega
Verified
Journal Article
Closed access
AKAmit Kumar
Amit Kumar
Vipul JainVipul Jain
Vipul Jain
SKSameer Kumar
Sameer Kumar

24 August 2016 in Neural Computing and Applications
Verified
Journal Article
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Vipul JainVipul Jain
Vipul Jain
Arun Kumar SangaiahArun Kumar Sangaiah
Arun Kumar Sangaiah
SSSumit Sakhuja
Sumit Sakhuja
NTNittin Thoduka
Nittin Thoduka
RARahul Aggarwal
Rahul Aggarwal