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The reported study aims at connecting the two crucial aspects of manufacturing of future, i.e. advanced analytics and digital simulation, with an objective to facilitate real-time control of manufacturing operations. The work puts forward a framework for designing prescriptive decision support system for a multi-machine manufacturing environment.

The schema of the decision support system design begins with the development of a simulation model for a manufacturing shop floor. The developed model facilitates prediction followed by prescription. As a connecting link between prediction and prescription mechanism, heuristics for intervention have been proposed. Sequential design and simulation-based demonstration of activities that span from development of a multi-machine shop floor model; a prediction mechanism and a scheme of intervention that ultimately leads to prescription generation are the highlights of the current work.

The study reveals that the effect of intervention on the observed predictors varies from one another. For a machine under observation, subject to same intervention scheme, while two of the predictive measures namely penalty and desirability stabilize after a certain point, a third measure, i.e. complexity, shows either an increase or decrease in percent change. The work objectively establishes that intervention plans have to be evaluated for every machine as well as for every environmental variable and emphasizes the need for dynamic evaluation and control mechanism.

The proposed prescriptive control mechanism has been demonstrated through a case of a high pressure die casting (HPDC) manufacturer.

The purpose of this analysis was to attempt to improve the reliability of a rotor support system of a modern aircraft engine.

The process used for carrying out FMEA is specified by MIL‐STD‐1629A procedure for carrying out failure mode, effects and criticality analysis.

In increasing demand in the avionics sector, particularly in modern defence and civil aircraft, safety and reliability are the prime concerns to complete the mission successfully. Technocrats are made to rethink the safety of complete systems by adding redundancy to the critical activities. A rotor support system (RSS) is an integral part of a gas turbine engine used in any aircraft. As its name implies, the rotor support system shares the load of the rotating component of an engine, hence the rotor support system plays a vital role in any aircraft engine. It shares the load of compressor rotor and stator, turbine rotor and stator, inter‐casing, and exhaust system of a gas turbine engine. Any failure in such a system may make the entire aircraft fail. Therefore it is worth carrying out Failure Modes and Effects Analysis (FMEA) on such a critical system. FMEA is one of the effective reliability assessment tools, which evaluate systematically and document the potential failure modes of a system or equipment and their causes. It helps in grading the severity of all potential failure modes and is useful in carrying out the changes in the early phase of design. The analysis starts with the potential failure of the smallest component at the final indenture and goes up to the initial indenture level.

The paper adds insight into the reliability improvement of the rotor support system of modern aircraft.

The study aims to investigate the association between Entrepreneurial Education (EE) and Entrepreneurial Intention (EI) and the multiple mediation model of Creativity and Entrepreneurial Motivation (EM).

The study employed a sample of 300 students who have studied entrepreneurial development courses (short-term and vocational courses) from higher educational institutes located in four States of Northern India. The data were analyzed by employing the structural equation modeling (SEM) technique.

The investigation revealed that EE has a significant association with EM and EI but not with creativity. It is also seen that EM facilitates the affiliation between EE and EI, but creativity does not.

The investigation results help the Institution, Policymakers, Government, to include entrepreneurial activities in their programs.

EE primary objective is to develop skills and knowledge that can propel them into a journey of EI and entrepreneurship. Although EE and EI have studied at large, there is hardly any study that talks about motivation, creativity and practicality in their program.

This study attempts to recognize obstacles and barriers to financial inclusion in the agriculture sector, propose a framework based on the inter-contextual link between the barriers and understand the financial exclusion in the agriculture sector at the grassroots level. Previously published research articles were used to identify the barriers to financial inclusion, followed by informal interviews and collaborative discussions with the local farmers of the Sonipat district of Haryana and expert interviews using a structured questionnaire. TISM and MICMAC analysis are used to decern the nature of the relationship among the barriers discovered. The authors find that inadequate financial literacy, a shortage of financial awareness and the reluctance of various financial institutions are significant linkage barriers to strong driving and dependence power. High transaction costs and poor infrastructural support are the independent barriers. The paper identifies these new barriers to financial inclusion in the Indian agriculture sector and the framework depicting financial exclusion in India. This paper only gives a framework of barriers and does not quantify the effect of any relationship identified, but strongly emphasizes granting the Indian agriculture sector broad and simple financial access to advance and strengthen the nation's sustainable, inclusive economic growth.