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The purpose of this paper is to find out the optimal level as well as the influence of end mill cutter geometrical and machining parameters while machining metal matrix composite. End milling is carried out on Al 356/SiC metal matrix composites (MMC) using high-speed steel (HSS) end mill cutter. The optimum level of input parameters such as helix angle, nose radius, rake angle, cutting speed, feed rate and depth of cut are calculated for minimum temperature rise.

L27 Taguchi orthogonal design, signal-to-noise (S/N) ratio, are applied for conducting experiments, and to find the optimal level of input parameters for minimum temperature rise, respectively. Analysis of variance (ANOVA) is used to analyze the significance of input parameters on temperature rise.

It is found that the optimal combination of helix angle 400, nose radius 0.8 mm, rake angle 80, cutting speed 30 m/min, feed rate 0.04 mm/rev and depth of cut 0.5 mm have generated minimum temperature rise. From ANOVA analysis, it is found that rake angle influence is more on output performance followed by cutting speed and nose radius compared with other machining and geometrical parameters.

The influence of geometrical parameters such as helix angle, nose radius and rake angle of end mill cutter on temperature rise while machining MMC has not been explored previously.

Although trade shows are a significant part of the B2B communications mix, academic research in the area is sparse. To successfully manage this medium, a careful understanding of attendee behavior on the trade show floor is necessary. Drawing from the rich literature on shopper typologies in retailing (which parallels the trade show atmosphere), this paper sets out to develop a set of attendee metrics that show organizers can track regularly.

Through latent class clustering on unique attendee‐level data from a popular computer trade show, five segments of attendee activity are uncovered that differ along dimensions such as the attendee's involvement and focus and the exhibitor's booth size, booth accessibility, and product display.

Significant heterogeneity is found in attendee activities on the show floor. There are interesting similarities and differences between the retail and B2B shopper. Implications for trade show organizers and exhibitors are discussed and directions for future research suggested.

Since the data employed are becoming more readily available, the hope is that managers and academic researchers might find the suggested metrics and segmentation approach useful in advancing a deeper understanding of the trade show attendee.

The purpose of this paper is to estimate the market demand and compare the average market margins for six broad categories of fresh produce in different retail formats across five select cities of the country. It also tries to qualitatively understand the supply chain management practices of these retailers across cities.

Registered retail outlets were selected randomly from online sources. Market potential was estimated as the average sales of each category of fresh produce. Personal interviews were conducted with the market players in order to collect qualitative data about their supply chain management practices.

Potatoes, onions and tomatoes are the largest consumed category of fresh produce across cities. Consumers in Tier 1 and Tier 2 cities exhibit different buying behavior and preferences. Large retailers and small retailers coexist in the cities. Marketing margins of retail formats are not uniform across cities.

The study did not capture the reasons for the differences observed in consumer preferences and buying behavior across cities. The study has taken into consideration only registered neighborhood stores in the study locations.

To the best of the authors’ knowledge, the paper is first of its kind which has attempted to estimate the categorywise market potential of fresh produce across study cities.

Reducing aircraft fuel consumption has become a paramount research area, focusing on optimizing operational parameters like speed and altitude during the cruise phase. However, the existing methods for fuel reduction often rely on complex experimental calculations and data extraction from embedded systems, making practical implementation challenging. To address this, this study aims to devise a simple and accessible approach using available information.

In this paper, a novel analytic method to estimate and optimize fuel consumption for aircraft equipped with jet engines is proposed, with a particular emphasis on speed and altitude parameters. The dynamic variations in weight caused by fuel consumption during flight are also accounted for. The derived fuel consumption equation was rigorously validated by applying it to the Boeing 737–700 and comparing the results against the fuel consumption reference tables provided in the Boeing manual. Remarkably, the equation yielded closely aligned outcomes across various altitudes studied. In the second part of this paper, a pioneering approach is introduced by leveraging the particle swarm optimization algorithm (PSO). This novel application of PSO allows us to explore the equation’s potential in finding the optimal altitude and speed for an actual flight from Algiers to Brussels.

The results demonstrate that using the main findings of this study, including the innovative equation and the application of PSO, significantly simplifies and expedites the process of determining the ideal parameters, showcasing the practical applicability of the approach.

The suggested methodology stands out for its simplicity and practicality, particularly when compared to alternative approaches, owing to the ready availability of data for utilization. Nevertheless, its applicability is limited in scenarios where zero wind effects are a prevailing factor.

The research opens up new possibilities for fuel-efficient aviation, with a particular focus on the development of a unique fuel consumption equation and the pioneering use of the PSO algorithm for optimizing flight parameters. This study’s accessible approach can pave the way for more environmentally conscious and economical flight operations.