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Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of eight sub‐systems working in a series. Two sub‐systems, namely pump and chiller, are supported by stand‐by units with perfect switch‐over devices and the remaining six sub‐systems are prone to failure.

Mathematical formulation of the model is carried out using mnemonic rule for these six sub‐systems. Reliability, availability and MTBF of the serial process in the butter‐oil processing plant have been computed for various choices of failure and repair rates of sub‐systems of this plant.

Analysis of reliability, long‐run availability and mean time before failure of the butter‐oil manufacturing plant can help in increasing the production and quality of the butter‐oil.

Industrial implications of the results have also been briefly discussed.

The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system for various choices of failure and repair rates of sub‐systems. This plant consists of eight sub‐systems.

In this paper the Chapman‐Kolmogorov differential equations are formed using mnemonic rule from the transition diagram of the plastic‐pipe manufacturing plant. The governing differential equations are solved using matrix method in order to find the reliability of the system with the help of MATLAB software. The same system of differential equations is solved numerically using Runge‐Kutta fourth order method to validate the results obtain by MATLAB.

The findings in the paper are an analysis of reliability, availability and mean time before failure of plastic‐pipe manufacturing plant has been carried out.

This paper proposes matrix calculus method using MATLAB software to find out the reliability of the plastic‐pipe manufacturing plant. This approach can be implemented to find reliability of other manufacturing plants as well.

The findings suggest that the management of the plastic‐pipe manufacturing plant 's sensitive sub‐system is important to improve its performance.

The purpose of this paper is to examine the impact of financial inclusion on poverty alleviation through cooperative banks.

In order to fulfil the objectives of the study, primary data were collected from 540 beneficiaries of cooperative banks operating in three northern states of India, i.e., J&K, Himachal Pradesh (HP) and Punjab using purposive sampling during July-December 2015. The technique of factor analysis had been used for summarisation of the total data into minimum factors. For checking the validity and reliability of the data, the second-order CFA was performed. Statistical techniques like one-way ANOVA, t-test and SEM were used for data analysis.

The study results reveal that financial inclusion through cooperative banks has a direct and significant impact on poverty alleviation. The study highlights that access to basic financial services such as savings, loans, insurance, credit, etc., through financial inclusion has generated a positive impact on the lives of the poor and help them to come out of the clutches of poverty.

The study was conducted amidst few limitations. First, the in-depth analysis of the study is restricted to three northern states only because of limited resources and time availability. Second, the study is limited to the perception of financial inclusion beneficiaries only, which, in future, could be carried further on the perception of other stakeholders such as bank officials, business correspondents, village panchayats, etc.

The study makes contribution towards the financial inclusion literature relating to poverty alleviation and fulfils the research gap to some extent by assessing the impact of financial inclusion on poverty alleviation through cooperative banks. This paper can help the policymakers and other stakeholders of cooperative banks in promoting banking habits among poor rural households both at the national and international level.

Milk cake is a well-renowned khoa-based dairy product in India, produced either from the buffalo milk or using a specific danedar variety of khoa. Under ambient conditions, shelf-life of milk cake is generally up to 3–4 days, whereas under refrigeration conditions, it can last up to 12–14 days. Therefore, the present study aims to evaluate the effect of modified atmosphere packaging (MAP) to enhance the shelf-life and keeping intact freshness of milk cake under refrigerated conditions (4 ± 2 °C).

Different gas concentrations of N₂ and CO₂ (70:30, 50:50 and 90:10) were used as a treatment, whereas control samples were kept under atmospheric air composition. The product was examined for sensory, physicochemical and microbiological parameters at weekly intervals.

The physicochemical and microbiological attributes displayed gradual elevation with progressive storage period in all the samples. However, the overall sensory profile of the product remained acceptable for a longer duration. Most of the quality parameters in control declined more rapidly with a shelf life of 14 days, in comparison to MAP packed samples, where gas flushing with the ratio 70:30 was found to be best suited for extending the shelf life of milk cake up to 28 days at refrigeration temperature.

To extend the shelf life of milk cake, modified atmosphere was provided with different gas ratios to reach a best-suited environment for sensory, storage life and proximate parameters.

Extant literature regarding factors essential for successful information technologies (IT) implementation in small and medium enterprises (SMEs) does not significantly address readiness factors for IT implementation in an Indian context. This exploratory research develops and tests a framework to analyse the antecedents to organisational preparedness for adoption of IT infrastructure in SMEs.

This exploratory research adopts a mixed-method approach to test the technology, organization and environment (TOE) framework. In-depth interviews with SME owners are conducted to develop the case study, and the measures obtained are tested through a survey at a small and medium business industrial cluster in Southern India in SMEs.

The case study indicates SME owners’ drive to initiate technology preparedness for organisational sustainability is a key factor, a measure not seen during the literature review. An empirical study tests the measures. Pressure from customers, owner’s age, sales of SME, owner’s attitude towards IT and owner’s knowledge of IT was confirmed, which indicates organisational factors have more impact compared to technological and environmental factors.

The academic scope of this research paper can be extended to contexts such as readiness in IT infrastructure for digital transformation.

The validated research framework can be used by organisation stakeholders and SME IT practitioners for successful IT adoption.

SMEs contribute significantly to gross domestic product (GDP) and provide employment opportunities. Hence, this research provides a tested model that SMEs owners/managers can adopt as a framework to augment competitiveness to implement IT.

The study adopts a mixed-method research design and is, perhaps, a first in the Indian context to explore variables through case study and validate identified measures through an empirical study. The model can be used by SME owners and practitioners to ascertain factors for organisational preparedness for IT adoption.

The paper demonstrates prejudicial effects of the rising private participation and the lacuna of state in ensuring the accessibility and affordability of healthcare.

Secondary data analysis from national and international databases is employed to demonstrate the low government spending and the alternate healthcare financing mechanisms in the country. The company reports of six Indian pharma companies are examined to map the profits and revenues, and also taking into account the sales growth and return on investment.

The paper observes the pharmaceutical sector, via its spiralling drug prices, is the primary contributor to the huge out-of-pocket expenses borne by households. The study findings indicate that there is an increased divergence between the out-of-pocket expenses of households and exorbitant profits of the private drug companies in the country over the years.

Amidst debates on the importance of public health in the aftermath of the pandemic, the paper examines the rising hands of private sector in healthcare, and implores – who benefits? The authors study the implications via looking into the rise in the wealth of pharma giants; at the time of crisis when the lives of common citizens in the country were at stake.

The paper emphasises the repercussions of the higher markup of the pharma industry in raising the healthcare costs of households. The authors emphasise that the nonregulation of the pharma sector leads to high medical debts/poverty, in the wake of growing out-of-pocket expenditures of the citizens.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

The paper examines the public procurement experiences of India and China during the Covid-19 pandemic and locates them in a framework it proposes. The paper aims to enrich the knowledge of how public procurement could be strategically used in emergencies.

For the two countries, the paper sieved through government orders and notifications promulgated during and for the pandemic, examined the prevailing laws and statutes that were invoked and comprehensively scanned online news portals to gather evidence. In addition, the author also engaged with select, relevant people in the sector who offered useful information about ground-level scenario.

It is found that as compared to China, in India (a) despite the presence of significant flexibilities, (b) there was a little divergence from standard procurement practices, perhaps explained by (c) weaker governance capacity and legitimacy, (c) more allocative (rather than structural) goals of procurement and (d) higher levels of centralization.

The findings of this paper are based entirely on secondary evidence limited to health care as a category of spend. This paper looks at two large countries and not their internal variations in procurement quality. The framework can also be enriched further by drawing additional categories to make the theoretical framework more promising.

The underlying design and motivation of public procurement policies in India need significant changes to make procurement policies responsive to disasters. Also, one can learn decentralization during emergency from the otherwise centralized politics in China.

To the best of the author’s knowledge, this paper is the first attempt to compare pandemic procurement-related policies of the two large countries across the Himalayan border. It also attempts to develop a scale/framework on which emergency procurement in countries can be assessed.