South Asian Journal of Engineering and Technology

Optimizing last-mile delivery in E-Commerce logistics a multi-faceted approach

JenithaKarthiga S, Pavithra V, Kayathri S — Tue, 13 Aug 2024 00:00:00 +0000

Efficient last-mile delivery is crucial in e-commerce logistics, impacting customer satisfaction, costs, and sustainability. This abstract explores strategies for optimization, utilizing a multi-faceted approach. Advanced technologies like route optimization algorithms and real-time tracking systems enhance delivery efficiency by minimizing transit times and optimizing resource use. Data analytics further refine routes based on variables like traffic and weather. Collaborative partnerships and decentralized logistics networks reduce individual deliveries and environmental impact. Micro-fulfilment centres in urban areas expedite deliveries, especially in densely populated regions. Customer-centric strategies include personalized delivery options and proactive communication. Time-specific delivery windows and alternative delivery locations cater to diverse preferences, enhancing satisfaction and loyalty. Transparent tracking mechanisms reduce failed deliveries and returns. In general, a multi-faceted approach combining technological innovation, collaboration, and customer-centricity is vital for optimizing last-mile delivery. By synergistically implementing these strategies, e-commerce stakeholders can overcome challenges, driving efficiency, satisfaction, and sustainability in the last mile.

A study on customer profiling towards pump industry

Rajan P, Gopalakrishnan L — Mon, 30 Sep 2024 00:00:00 +0000

Customer profiling is an essential feature of modern marketing since it helps businesses develop targeted strategies by knowing the specific needs and preferences of their target market. This research looks at how customer profiling is used in the pump business, which stands out for having many different uses in the residential, commercial, and industrial spheres.This study clarifies the various client profiles—from individual homeowners to large-scale industrial consumers—by analyzing several pump types and the industries they serve. By recognizing these segments and analyzing their specific characteristics, the study seeks to offer insights that will help pump industry companies create more focused marketing strategies, enhance distribution networks, and design innovative products tailored to meet the unique needs of different customer groups in India.

Nanomaterials as game changers in forensic toxicology and trace analysis

Mullai Malar K, Kavitha R, Krushna Sharad Sonawane — Sat, 05 Oct 2024 00:00:00 +0000

Nanomaterials have revolutionized forensic toxicology and trace analysis by significantly enhancing the precision and sensitivity of detection methods. Their special qualities, like their high surface area-to-volume ratio and remarkable reactivity, make it possible to identify minute concentrations of medications, biological materials, and poisons that conventional techniques could miss. This article demonstrates how nanoparticles can be used to identify narcotics, poisons, and other minute forensic evidence, enhancing the precision and efficiency of forensic investigations. Particular uses include nanoscale instruments and sensors based on nanoparticles, which let forensic experts find even the tiniest bits of evidence. As nanotechnology develops, further advances in forensic science could result from its integration, which could lead to more efficient solutions for challenging toxicology and trace analysis cases.

Synthesis and structure of Zinc oxide doped Polyindole Nanocomposites

Renuka L, Helina B — Mon, 07 Oct 2024 00:00:00 +0000

We present the synthesis and characterization of nano Zinc Oxide (ZnO), nano Polyindole (PIN), and nano PIN/ZnO composite in this work. Polyindole was produced by oxidative chemical polymerization using ferric chloride. Scanning electron microscopy (SEM) was used to analyze the structure and form of the PIN, PIN/ZnO nanocomposite and ZnO nanoparticle. The elemental analysis and chemical characterization were shown using the EDAX technology. The X-Ray Diffraction (XRD) technique was used to measure the crystallites' sizes and the degree of crystallinity. It is clear that the dopant improves conductivity since the UV-vis spectrum shows that the band gap of the doped PIN decreases.

Synergetic effect of MgO-Chitosan-pluronic F-127 nanocomposites

Abdur Rahman M, Abbas Ali A — Mon, 07 Oct 2024 00:00:00 +0000

In the present work, Magnesium oxide (MgO)-Chitosan-pluronic F-127 nanocomposites were prepared using a green process with Amomum subulatum Roxb extract. The synthesized nanocomposites were characterized by X-ray diffraction studies, dynamic light scattering, Fourier transform infra-red spectroscopy, UV-Vis spectroscopy, Photoluminescence spectroscopy and antibacterial studies.

Preparation and characterization of bioactive silica derived from Rice husk supported TiO2 and cobalt nanocomposite via sol – gel route

Ananthi A, Kapildev K — Mon, 07 Oct 2024 00:00:00 +0000

In the present study, amorphous silica nano particles were taken from low cost rice husk by carrying out an acid treatment by the process of heat treatment. Silicon precursor was obtained in the form of sodium silicate rice husk ash. Sodium silicate solution was obtained by direct silica extraction from rice husk via solvent extraction method without adding any template. The target nano composite (RHS/TiO₂/Co) was formed by embedding the cobalt nanoparticles into SiO₂/TiO₂. The prepared samples were characterized by XRD,FTIR, SEM/EDS, TG-DTA,UV and TEM. The cobalt was found to isomorphouslysubstitute in the silica matrix. A good dispersion of cobalt nanoparticles was evidenced by X-ray diffraction. Scanning electron microscopy confirmed the formation of well dispersed and spherical cobalt nanoparticles. During TGA analysis, it was observed that, mass trace suddenly goes backwards along the abscissa and then continues forward normally. This technique provided an environmentally friendly production process for conversion of waste rice husk to high performance materials.

Studies on the growth and characterization of L-Asparagine Monohydrate Admixtured with Dl- Malic Acid Single Crystals

Rajasekar N, Balasubramanian K — Mon, 07 Oct 2024 00:00:00 +0000

Single crystal of L-Asparagine monohydrate admixtured with DL- malic acid (LAMDLM) has been grown by slow evaporation solution growth technique by using deionized water as solvent at room temperature. Optically clear single crystals having dimensions up to 4mm x 3mm x 1mm. Powder X-ray diffraction analysis reveals that LAMDLM crystal crystallizes by Orthorhombic system with the space group of P2₁2₁2₁. The physical phase of the product was confirmed by powder x-ray diffraction analysis. The Fourier Transform Infrared (FTIR) spectra of all grown crystals have been recorded in the wavenumber range of 500-4500 cm^-1 by KBr pellet technique and the associated functional groups of the grown crystals. The optical parameters, such as optical band gap energy, transparency (%) and absorbance were calculated parameters using UV-Vis Transmittance data in the spectral range of wavelength 190-1100 nm. The Multilayer plate-like pattern of growth was observed by Scanning electron microscopy. The presence of L-Asparagine malate was confirmed by EDAX analysis. Incorporation of Various elements present in L-Asparagine malate in the crystal was confirmed by Energy Dispersive X-ray Analysis (EDX). The laser damage threshold for the grown crystal was measured using Nd:YAG Laser. The laser damage threshold value was found to be 3.6 GW/cm².

A Case Study on Six Sigma-Based Bayesian Control Charts under Gamma Prior Distribution

Saranya R, Ganesan A — Tue, 08 Oct 2024 00:00:00 +0000

Statistical process control, or SPC, is a proactive strategy that uses statistical methodology to monitor a process control.In contrast to acceptance sampling plans, which are typically employed after nonconformity products have already occurred in the process, SPC is used to identify process abnormalities once they spiral out of control and after appropriate preventive measures have been made to manage the production process. In particular, it is the use of statistical techniques to gather data, chart the data, and then track the variability of a specific process of interest over a period of time in relation to the lower and upper control limits, which are typically set at three standard deviations above and below the process target line.The Bayesian approach is a novel and intriguing method in industrial statistical quality control (SQC) that relies on the subjective likelihood of past information about the process. In this research paper, the construction of six sigma-based control chart is developed by using Gamma prior distribution along with Bayesian approach.

Construction of Six-Sigma Based Control Charts Under Exponentiated Mukherjee - Islam Distribution for Statistical Process Control

Senthilvelan M, Balamurugan P — Tue, 08 Oct 2024 00:00:00 +0000

In the domain of process monitoring, statistical process control, or SPC, is frequently employed when the quality of interest is normally distributed. In actuality, the variable of interest may follow any non-normal distribution, such an exponential, gamma, or other distribution. It is not necessarily true that the variable of interest follows the normal distribution. It might not be feasible to employ control charts made for a normal distribution in this case, which could lead to an increase in the percentage of non-conforming goods. This research article employs Length Biased distribution strategies to evaluate the performance of the production process using the EMID through the six-sigma based control charts. This research paper's primary goal is to study and monitor the production system by introducing a six-sigma based control chart utilizing the New Generalization of EMID.

Comparison of metal removal rate in the machining of Nickel Chromium Composite

Anandavelu K, Marichamy S — Mon, 11 Nov 2024 00:00:00 +0000

Comparison of metal removal rate (MRR) in the machining of synthesized composite is playing an essential role in advanced manufacturing industries. Machinability behaviors synthesized composites are act as a vital role in metal forming process. The present article is used to analyze the machining behaviors of the synthesized nickel chromium composite using various unconventional machining processes such as Spark Erosion Machining (SEM) and Laser Beam Machining (LBM). Comparison of metal removal rate under different input constrains is also conducted. In SEM process, the different input actors are used such as voltage, current and pulse on time. In LBM process, the various input factors have been considered such as cutting speed, laser power and standoff distance. The parameter contribution is found by variance analysis. The selection of optimal parameters is decided by Taguchi optimization.

A study on brauer group and brauer diagrams

Sharmila P — Tue, 17 Dec 2024 00:00:00 +0000

The Brauer group, an important concept in algebra, plays a pivotal role in the study of central simple algebras and their classification. This paper explores the algebraic structures underlying the Brauer group, emphasizing its connections with division algebras, Galois cohomology, and class field theory. We delve into the properties and operations that define the Brauer group, examining how these properties extend across various algebraic and geometric contexts. Additionally, Brauer diagrams, visual representations of elements in the Brauer group, are studied for their applications in tensor categories, quantum algebra, and knot theory. Through a combination of theoretical analysis and illustrative examples, this work aims to provide a comprehensive understanding of the interplay between the Brauer group and Brauer diagrams, shedding light on their significance in modern mathematical research.

A Study on Topological Space for an Ideal Topological Space

M. Jeyanthi — Tue, 31 Dec 2024 00:00:00 +0000

An ideal topological space is a triplet (X, τ, ℑ), where X is a nonempty set, τ is a topology on X, and ℑ is an ideal of subsets of X. In this paper, we introduce L^∗-perfect, R^∗-perfect, and C^∗-perfect sets in ideal spaces and study their properties. We obtained a characterization for compatible ideals via R^∗-perfect sets. Also, we obtain a generalized topology via ideals which is finer than τ using R^∗-perfect sets on a finite set.