The barriers analysis of supply chain management during COVID-19 Pandemic in Indian Industries: COVID-19 Pandemic in Indian Industries

In today's supply chain, information sharing and accountability for goods is critical, accordingly to the principles of fiscal, environmental and social security, which have been also concentrating on in recent years, prioritize business process openness. The economic consequences of the COVID-19 outbreak and prevention strategies incorporate factors such as supply and demand shocks as a result of COVID-19. This paper investigates the sensitivity of the supply chain to the unfolding pandemic crisis by identifying the five main barriers for Indian manufacturing industries in the new COVID-19 time by employing a hierarchical approach, based on multi-criteria analysis. A hierarchical process-based multi-criteria approach has been used to evaluate COVID-19 influence and prioritized by Entropy and TOPSIS technique. The findings shows that local law enforcement obtained the highest weights among all the supply chain barriers operations in the COVID-19 time, and among the industries, airline, hotel, and automobile sectors have been most affected by the global crisis. The obtained findings will provide the strategic outputs for decision-makers to strengthen the supply chain following COVID-19 protocols

A FUZZY GOAL PROGRAMMING APPROACH FOR SOLVING MULTI-OBJECTIVE SUPPLY CHAIN NETWORK PROBLEMS WITH PARETO-DISTRIBUTED RANDOM VARIABLES

Uncertainty is unavoidable and addressing the same is inevitable. That everything is available at our doorstep is due to a well-managed modern global supply chain, which takes place despite its efficiency and effectiveness being threatened by various sources of uncertainty originating from the demand side, supply side, manufacturing process, and planning and control systems. This paper addresses the demand- and supply-rooted uncertainty. In order to cope with uncertainty within the constrained multi-objective supply chain network, this paper develops a fuzzy goal programming methodology, with solution procedures. The probabilistic fuzzy goal multi-objective supply chain network (PFG-MOSCN) problem is thus formulated and then solved by three different approaches, namely, simple additive goal programming approach, weighted goal programming approach, and pre-emptive goal programming approach, to obtain the optimal solution. The proposed work links fuzziness in transportation cost and delivery time with randomness in demand and supply parameters. The results may prove to be important for operational managers in manufacturing units, interested in optimizing transportation costs and delivery time, and implicitly, in optimizing profits. A numerical example is provided to illustrate the proposed model

Primary meningeal sarcoma (fibrosarcoma) of cervical spine in an 11 yr old boy: An extremely rare case report

Primary meningeal sarcoma is a rare tumor in pediatric age group. Here we were reporting an extremly rare case report of an 11 year old boy presented with quadriparesis and bladder involvement. MRI revealed a cervical dural based tumor with extension to cord parenchyma and neural foramina involving paravertebral tissue. The histopathology revealed mesenchymal tumor with malignant potential which on immunohistochemical (IHC) study found to be vimentin positive fibrosarcoma

Discovery of error-tolerant biclusters from noisy gene expression data

An important analysis performed on microarray gene-expression data is to discover biclusters, which denote groups of genes that are coherently expressed for a subset of conditions. Various biclustering algorithms have been proposed to find different types of biclusters from these real-valued gene-expression data sets. However, these algorithms suffer from several limitations such as inability to explicitly handle errors/noise in the data; difficulty in discovering small bicliusters due to their top-down approach; inability of some of the approaches to find overlapping biclusters, which is crucial as many genes participate in multiple biological processes. Association pattern mining also produce biclusters as their result and can naturally address some of these limitations. However, traditional association mining only finds exact biclusters, whic

COVID-19: a decision-making approach for evaluating the economic sectors of india during pandemic

The advent of COVID-19 has escalated into a pandemic and, as a result of infected cases and human fatalities, it tends to rise day by day across the globe. This also ignited concerns of a looming fiscal slump and recession on the different economic sectors as well. The effect of this pandemic is much more significant in developing countries like India due to the already declining growth rate, inadequate health services, and a growing population residing in severe poverty.  This paper attempts to understand the impact of COVID‐19 pandemic on the Indian economic sectors by employing a hierarchical approach, based on multi-criteria analysis to understand the impact on primary, secondary, tertiary and quaternary sectors by concerning the political, economic, socio‐cultural and technology consequences of COVID‐19. A process-based multi-criteria hierarchical approach has been used to determine the effect of the same and has been prioritized in the sequential sequence