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Availability of accurate quantity of materials, at correct place and at right time is extremely critical for increasing production effectiveness of any manufacturing organization. This can be achieved through employing an appropriate material handling equipment (MHE) capable of performing the desired operation. Therefore, choosing a right MHE from the available options is a key concern for the success, growth and competitiveness of a manufacturing organization. The purpose of this paper is to describe the design and development of an expert system based on quality function deployment (QFD) methodology in Visual Basic 6.0 for selecting the most appropriate industrial truck which is a commonly practiced MHE in any manufacturing organization.

A QFD-based approach is adopted to incorporate customers’ needs into the evaluation criteria on the basis of which industrial truck selection is carried out. The applicability of the developed expert system in solving industrial truck selection problems is demonstrated using two illustrative examples.

While applying this QFD-based model, CPCD 80x manufactured by Heli is recognized as the most suitable forklift truck for transporting unitized loads within a manufacturing unit with some spatial constraints, and for loading/unloading packages/boxes/cartons and place them at the desired locations in a manufacturing unit, ETV 216 manufactured by Jungheinrich evolves out as the most suitable reach truck.

Till date, numerous research articles have been published suggesting the applications of various mathematical models, multi-criteria decision-making methods and knowledge-based systems for solving MHE selection problems, and it is intriguing to note that none of the previously adopted methods has proposed a systematic procedure for selection of the evaluation criteria and interrelated the needs of customers with the technical specifications of MHEs while identifying the best alternative for performing a specified operation. These issues can be addressed through application of this developed QFD-based expert system, which can translate customers’ needs into organizational functions that are implementable in the decision-making/selection procedure.

Hospital activities restore health and save lives; yet they produce infectious waste that might harm people and the environment if not handled carefully. The sudden increase in bio-medical waste (BMW) generation was caused due to the outbreak of Coronavirus disease (COVID-19) at the beginning of year 2020. There is a huge potential of businesses from BMW generated in the developing economies. The document destruction process would prove to be beneficial in determining the strategies and policies for the business from BMW. Therefore, the purpose of this study was to identify and evaluate the factors that influence the business prospects from BMW in developing economies.

The study focuses on identifying 18 factors based on an extensive literature review, questionnaire, theoretical foundations and interviews with experts in the context of developing economies. These factors are categorized into four groups namely “Culture, education and microeconomics”, “Infrastructure, social provision, and technology”, “Policy and institution” and “Integrated waste management system”. Consequently, these factors are prioritized to assist the decision-maker in comprehending the most critical aspects of accomplishing the best business practices. A framework based on the Best–Worst Method (BWM) is applied to evaluate and determine the significance of each identified factor.

The major contribution of this paper is to identify key factors that are responsible for successful implementation of the business practices from the generated BMW. The study also explains their nature, significance and inter-relationship among them using BWM. Current study applied a distinctive modeling approach to examine the contextual relationship among the key factors and to rank them as per their importance. The findings of the study suggest that “Setup for collection and segregation is the best alternative for business from BMW produced”.

The paper also presents strategies, which can be adopted as a guiding step by the decision-makers to formulate policies for the effective business practice from BMW. This research is expected to stimulate future applications of the BWM to facilitate long-term decision-making.

The purpose of this paper is to provide a practitioners' perspective on financial challenges prevalent in the Indian hospitality industry. The paper also makes an attempt to give useful insights into possible solutions to the issues raised.

The study assimilates data from senior finance professionals from a spectrum of hotels in India. The study involves the collection of primary data through structured interviews.

The study highlights that some of the financial challenges faced by the Indian hospitality industry include high financing costs, multiplicity of taxes charged, licensing and legal issues, working capital issues and eroding margins. The study also gives some useful insights to the possible solutions to the challenges identified.

This paper provides some very useful qualitative analysis of the contemporary challenges and their possible solutions prevalent in the Indian hospitality sector. The findings will be useful for hoteliers, policy makers and researchers to deliberate on the issues raised. However, it does not involve any quantitative analysis.

This study makes a sincere attempt to bring forth some real life issues, challenges and solutions which would be a good value addition to the existing literature.

This study aims to evaluate the knowledge and consumption of healthy foods, respectively, of oils as sources of omega-3 and dietary supplements with omega-3, among a population of young people in the center of Romania. With the objectives of identifying the factors that can influence the consumption of healthy fats and the orientation toward actions to promote less known food resources, in order to diversify the healthy food intake, the long-term improvement of the health-related effects of food.

One of the most important aspects of health is nutrition and its role in reducing the incidence of chronic diseases is supported by scientific data. In this research, the authors analyzed the level of information and the factors determining food choices with particular reference to the consumption of healthy fats and/or supplements from these fats, in order to highlight the behavior of individuals in relation to food. For this purpose, a questionnaire about food and healthy fats (omega-3) consumption and frequency was applied to the food groups of interest, along with other factors pertaining to lifestyle. The questionnaire distributed online mainly included questions related to the consumption of fats and the respondents' knowledge about them. The interest in participating in the study was manifested mainly in the young age segment. The collected data were analyzed statistically was done through Graph Pad Prism ver. 9 software with the establishment of a statistical significance threshold of 0.05.

There is a certain degree of superficiality in the knowledge of the importance and use of foods rich in omega-3. The statistically significant association has been identified both between age and the rules established in the family for observing the schedule of meals and between age and benefiting from an evaluation of the eating behavior. Statistically significant association has also been observed between the level of education and the knowledge on the health benefits of vegetable oils. The statistically significant association was also present between the level of education and the respondents' appreciation of the essential role of eating behavior in disease prevention.

Identifying the consumer profile in relation to their attitude toward healthy foods, especially fats, in order to adapt nutritional interventions with the aim to promote healthy food choices that have an impact on the health of the individual and also of the population.