IMS Unison University

About: IMS Unison University is a education organization based out in Dehra Dūn, Uttarakhand, India. It is known for research contribution in the topics: Computer science & Supply chain. The organization has 37 authors who have published 49 publications receiving 265 citations. The organization is also known as: Institute of Management Studies.

A Review of Healthcare Service Quality Dimensions and their Measurement

Abstract: Service quality has been a matter of concern for public and private healthcare institutions across the world. Increased focus on patient-centered care led to several researches in exploring what de...

Embracing of Fintech in Islamic Finance in the post COVID era

Abstract: The novel corona virus (COVID-19) is a phenomenon with the aftereffects of this pandemic can be felt in the next few years to come. Economic consequences of the pandemic are huge on the Islamic finance industry, it is also evident from the slow growth forecast by the various agencies for the industry. In this paper, we consider this pandemic as an opportunity for the Islamic finance industry to grow and prove its worth again after the global financial crisis of 2008 and emerge as a major contender to the conventional financial system. We develop a model which reveals that COVID-19 is an opportunity with more integrated and transformative growth with high level of standardization, with key focus of the industry on the social cause and tactical adoption of Financial technology. The paper has an implication to the Islamic finance and banking industry as it provides a framework for the future researchers and practitioners to understand and adopt Islamic finance in the post COVID-19 era.

Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach:

Abstract: The purpose of this article is to explore key barriers in measuring supply chain performance (SCP). In today’s competitive business environment, companies are facing various issues in measuring SCP...

Application of Multi-objective Genetic Algorithm (MOGA) Optimization in Machining Processes

Abstract: Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. It is suitable for solving multi-objective optimization related problems with the capability to explore the diverse regions of the solution space. Thus, it is possible to search a diverse set of solutions with more variables that can be optimized at one time. Solutions of MOGA are illustrated using the Pareto fronts. A Pareto optimal set is a set of solutions that are non-dominated solutions frontier. With the Pareto optimum set, the corresponding objective function’s values in the objective space are called the Pareto front. The conventional methods for solving multi-objective problems consist of random searches, dynamic programming, and gradient methods whereas modern heuristic methods include cognitive paradigm as artificial neural networks, simulated annealing and Lagrangian approcehes. Some of these methods are managed in finding the optimum solution, but they have tendency to take longer time to converge so that need much computing time. Thus, by implementing MOGA approach that based on the natural biological evaluation principle will be used to tackle this kind of problem. In this chapter authors attempts to provide a brief review on current and past work on MOGA application in few of the most commonly used manufacturing/machining processes. This chapter will also highlights the advantages and limitations of MOGA as compared to conventional optimization techniques.