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The purpose of this study is to find the effect of heat treatment on the mechanical proeprties of aluminum. Aluminum exhibits a good response to heat treatment, especially quenching, according to the mechanical property improvement. The presence and orientation of secondary phases (Al-Fe-Mn-Si) are greatly affected by the quenching process.

The present work deals with the effect of water quenching on the mechanical properties of welded AA 6061 plates which were joined by using metal inert gas (MIG) welding, tungsten inert gas welding and friction stir welding (FSW). Three tests like tensile, bending and hardness were considered. The microstructural variation was analyzed by optical microscopy and elemental mapping through field emission scanning electron microscope.

A significant enhancement in the tensile strength and hardness was achieved on postquenched specimens. This improvement in mechanical properties is caused by the distribution of fine alloying elements throughout the metal solution rather than precipitation at the grain boundaries. In comparison to the “untreated specimens,” an improvement of 76.7%, 25.32% and 56.81% in the tensile strength of quenched TIGW, MIGW and FSW specimens, respectively, was observed.

The quenching process has increased the strength of the MIG welded joint over the base metal. The MIG welded joint has a larger flexural modulus than the other two welded plates, according to the results of the bending test. Furthermore, a uniform distribution of hardness was observed in postquenched welded specimens. It was found that welded zone was harder than heat-affected zone. Out of all the specimens, the base metal zone has the lowest hardness.

The purpose of this study is to analyze the titanium alloy under heat treated condition. Titanium alloy heat treatment, particularly Ti‐6Al‐4V alloy, has been an important field of study due to its wide variety of uses in the aerospace, automotive, and biomedical sectors. The mechanical characteristics of titanium alloys are heavily influenced by their microstructure. Cold‐rolled Ti‐alloys have strong bending and tensile strength due to extensive β‐phase precipitation on the α matrix. However, various heat treatment (HT) methods can affect the mechanical characteristics. The current study seeks to investigate the effects of various heat treatment procedures on the microstructural and mechanical changes of Ti‐6Al‐4V alloy, in order to achieve an optimal balance of strength, hardness, and ductility for a variety of real-world applications.

Three plates of Ti‐6Al‐4V alloy were heated above the β‐transus temperature for a certain period and then cooled via furnace, air, and sand. One extra plate was kept in ‘untreated’ condition and given name ‘as received’ plate. The three heat treated plates were evaluated and compared with ‘as received’ plate based on tensile strength, bending strength, hardness, and microstructural changes.

A considerable change in orientation of α and β was noted through optical microscopy upon heat treatment. The mechanical testing revealed that all the cooling methods adopted in the study have reduced the UTS and increased the YS of the plates. The ductility of the alloy was primarily enhanced by 'air cooling' and 'sand cooling' methods.

Notably, the hardness test findings indicated a significant drop in hardness for the ‘sand‐cooled’ sample. Furthermore, the ‘air cooled’ sample showed the maximum hardness due to the production of acicular α regions.

The unmanned ground vehicle (UGV) described in this manuscript is a robot designed by the authors to map the underground mine environments. The UGV works to develop a computational intelligence-based cyber-physical system (CPS)-based analytical framework for mining operations. The UGV demonstrated excellent semi-autonomous navigation capabilities in the absence of GNSS signals. The UGV has a suite that works in unison to provide relevant information. These sensors are integrated to form a robust sensor fusion-based architecture, creating a CPS with a wide range of capabilities such as data acquisition and navigation in challenging underground environments. UGVs can be used to enhance the efficacy of safety inspections, rescue during underground emergencies and assist miners in hazardous conditions.

In this research, an UGV was constructed whose operations are enabled by sensors including a D415i Red Blue Green (RGB) depth camera, a LiDAR, a FLIR C5 infrared camera and smart air quality sensors. This sensor fusion-based architecture forms a CPS. Data obtained remotely are processed by deep learning algorithms to achieve overall capabilities such as real-time image analysis for miner identification, object detection, posture analysis and identifying threats of roof falls and overhangs. Simultaneous localization and mapping (SLAM) algorithms create a 3D map, facilitate autonomous navigation and build a decision support system for delivering mine rescue support.

The aim of this study is to include this capacity in training situations when it has been validated and authorized by the Directorate General of Mines Safety (DGMS) Indian government regulatory agency for safety in mines and oil fields. The longwall demo mine, at IIT (ISM) is being used as the site of the first operations. Once approved by the respective enforcement agencies, this technology and the accompanying rescue and training process can be used in underground operations.

In fact, this paper is the first attempt at remotely operated UGVs based on CPSs, the CPS–UGV in Indian mine conditions, so as to revolutionize Indian mines based on the idea of Industry 4.0.

This case study will allow students to critically analyse and develop entry strategies into untapped foreign markets. The case study was designed to introduce students to identifying and analysing information related to target markets for expansions in international business.

The main objectives of this case are to evaluate and make the “Go Global” decision for the company; to take a position on entry timing for a company for entering an overseas market; to select a country for entry based on cultural, administrative, geographic and economic analysis and other relevant factors; and to evaluate a firm’s readiness for exports.

This case study on Satya Pharmaceuticals presents a typical dilemma faced by small and medium enterprises (SMEs) in emerging markets such as India while exploring the untapped overseas markets to expand their business. Satya Pharmaceuticals produced over-the-counter Ayurvedic medicines. With the onset of the COVID-19 pandemic, the consumer preference for Ayurvedic products had increased globally. Home country governments’ emphasis on exports and conducive consumer preferences created an opportune time for such SMEs to explore uncharted markets with a propensity for herbal medicines. Amidst strict regulations regarding safety, efficacy, labelling and packaging norms, along with a subjective understanding of the consumers’ sentiments regarding alternate medicines, SMEs had to select their target market carefully for their products to be successful overseas. This case study presents the basic information that entrepreneurs needed to explore the foreign markets. It revolved around checking firms’ preparedness to explore foreign markets, identifying target markets, timing the entry and entering those markets.

This case is appropriate for graduate-level courses in management that offer subjects such as international business.

Teaching notes are available for educators only.

CSS 5: International business.

After completion of the case study, the students would be able to comprehend the crisis at hand for Milkbasket, why did it resist Reliance’s takeover in the first place, then to evaluate the pros-cons and future prospects for the organization post-acquisition; to evaluate from an ethical standpoint the process of mergers and acquisitions using ethical frameworks to understand how, when, to whom and through what processes do mergers and acquisitions qualify the test of being ethical; and to analyse different hostile takeovers, especially through tender offers, proxy contests and toehold bidding strategy in this case.

Founded in 2015, Milkbasket was a micro-delivery start-up based in Gurugram (near New Delhi), India. Milkbasket would let its subscribers order till midnight and deliver groceries, milk and other everyday essentials to its subscribers before 7 a.m. next day. It had burnt a lot of cash and was facing difficulty in getting investors; as such they were engaged in discussions with many companies. Two of them – Reliance Retail Venture Limited and BigBasket – were not accepting the proposed valuation, but Milkbasket got term sheets from other two companies.

This case study can be used for graduate courses on strategic management, business ethics and corporate governance. This case study can also be used in corporate finance course to highlight the importance of making ethical/responsible judgements to protect stakeholder interests.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

Strategy.

MBA.

On 20 May 2016, the Management team at Patanjali Ayurved Limited (PAL), an Indian fast-moving consumer goods (FMCG) company, had assembled in their Haridwar office, India, to discuss their future growth plans. The team was in a celebratory mood, as their internal reports suggested the annual revenue forecasts for the year 2016-2017 to be INR 10bn, an increase of 100 per cent as compared to the previous fiscal year 2015-2016 that recorded annual revenues of INR 5bn. PAL incorporated in 2006 and co-founded by Acharya Balkrishna operated in four business segments of foods, personal care, home care and Ayurved products. The products sold under the brand name Patanjali were single-handedly promoted by Swami Ramdev (hereafter referred as Ramdev), a popular Yoga practitioner and preacher amongst the Indian masses, as well as PAL’s co-founder. Ramdev recommended PAL’s products in his yoga sessions on television and yoga shibirs which had led to huge positive “word-of-mouth” publicity for their brand Patanjali. Their fast-paced growth in less than a decade had generated a disruption in the Indian FMCG sector, resulting in a negative impact on the sales of established multinational corporations (MNCs) such as Colgate-Palmolive, Hindustan Unilever Limited (HUL), ITC Limited (ITC), besides the domestic players such as Dabur India Ltd. and Emami Ltd. This had led their FMCG competitors to launch plans to strengthen their product portfolios so as to provide a tough competition to PAL. The management team at PAL, though confident of achieving their annual revenue targets, were apprehensive of this new competition from the big players of the FMCG sector. Were they capable of continuing their success story? Going forward what strategic steps would ensure them a sustainable growth and a market leader position? The mood turned reflective as the team pondered on some of these questions.

The case is structured to enable discussion on: conducting and understanding a general environment analysis and industry and competitive analysis and critically evaluating the firm’s strategic positioning and scope in a competitive environment.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

The learning outcomes are as follows: understand the operating model of a not-for-profit organization; gain knowledge about the significance of an organizational structure to successfully run a not-for-profit organization; learn the socio-cultural implication of yog through BYS; and learn the applicability of growth and business expansion strategy in the case of a not-for-profit organization.

This case covers the innovative operating model of Bharatiya Yog Sansthan (BYS) – a not-for-profit organization which offers free service towards the society through yog. BYS was a not-for-profit organization that survived for long without accepting donation in any form. They had more than 3,500 Yog Centers in 21 States and 2 union territories in India and more than 60 Yog Centers in foreign countries. They were the only not-for-profit organization which had operated such a huge number of Yog Centers across the world. Des Raj became the face of BYS after the demise of the founder Mr. Prakash Lal. While adhering to the core principle of the founder, the list of challenges in front of Mr. Des Raj and other yog enthusiasts’ associated with BYS was long. There arise no questions regarding the level of commitment and dedication of Des Raj and his team. They had left no stone unturned to bring BYS into the lime light and perhaps this is the reason because of which BYS had stood for more than fifty years. On one part they were strictly against commercialization and on the other part, they wanted to reach every household. Was it truly challenging for them to reach people without spending money on promotion? Was it really difficult for a not-for-profit which survived without donation to establish it as a brand?

This case can be taught effectively to MBA/ BBA students as a part of Strategic Management and Entrepreneurship subject.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

After completion of the case study, the students will be able to assess Paytm’s share buyback in the context of conventional practices, especially for loss-making firms, analyze the influence of initial public offering (IPO) performance on market sentiments and the role of subsequent events in shaping investor confidence, explore the regulatory framework for share buybacks in India and its impact on Paytm’s decision, scrutinize Paytm’s post-IPO financials and evaluate the board’s rationale for the share buyback and examine the factors influencing Paytm shareholders’ decisions amid the buyback, considering market conditions and the company’s outlook.

This case study discusses the unorthodox choice made by Paytm, a leading Indian digital payments and financial services provider, to begin a share repurchase program just one year after its substantial IPO. Paytm encountered difficulties as its stock price experienced a sharp decline of 74% following the IPO, which raised concerns among shareholders and elicited mistrust from analysts. This case study explores the reasoning for the buyback, the legislative framework of share buybacks in India and the diverse viewpoints of analysts regarding the company’s financial strategy. This case study provides not only ample opportunity to discuss ethical issues around managers’ corporate actions but also brings investors a dilemma.

This case study is suited to Master of Business Administration/Master of Science/Bachelor of Business Administration/Bachelor of Science.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

The purpose of this paper is to develop an improvised sustainable health-care model by integrating best practices, innovations and new dimensions to the present public health-care system – National Rural Health Mission (NRHM) – for improving the health status of the bottom of pyramid (BoP) in India.

The contribution of NRHM in ensuring the availability of health-care services and improving health indicators has been assessed. Some unique proven models of excellent health-care services and innovations have also been considered in designing an improvised health-care model. The empirical context takes the use of case study research methodology. The data have been extracted from various relevant papers, reports and websites.

Despite substantial augmentation in health infrastructure and human resources, increased local engagement and technology integration, the progress in health indicators during the NRHM has not been fairly better than that before. The present paper provides an improvised model that integrates all the potential stakeholders such as Government, Private health-care services providers, pharmaceutical and insurance companies and BoP community itself to ensuring 5As rather than 4As (Prahalad, 2004) in rural health care.

This study has relied mainly upon the secondary sources of data and some published case studies. The model is a hypothetical framework designed exclusively for rural setups of India.

The study shows the ways and invites all the stakeholders to come forward and build hybrid partnerships not only to develop society but also to develop sustainable BoP markets and earn profits.

The paper brings forth the aspects of achievements and limitations of NRHM in improving BoP health status, and it develops an improvised model to achieve the BoP-health objectives.

This paper aims to implement and extend the You Only Live Once (YOLO) algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. Video Surveillance has many applications such as Car Tracking and tracking of people related to crime prevention. This paper provides exhaustive comparison between the existing methods and proposed method. Proposed method is found to have highest object detection accuracy.

The goal of this research is to develop a deep learning framework to automate the task of analyzing video footage through object detection in images. This framework processes video feed or image frames from CCTV, webcam or a DroidCam, which allows the camera in a mobile phone to be used as a webcam for a laptop. The object detection algorithm, with its model trained on a large data set of images, is able to load in each image given as an input, process the image and determine the categories of the matching objects that it finds. As a proof of concept, this research demonstrates the algorithm on images of several different objects. This research implements and extends the YOLO algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. For video surveillance of traffic cameras, this has many applications, such as car tracking and person tracking for crime prevention. In this research, the implemented algorithm with the proposed methodology is compared against several different prior existing methods in literature. The proposed method was found to have the highest object detection accuracy for object detection and activity recognition, better than other existing methods.

The results indicate that the proposed deep learning–based model can be implemented in real-time for object detection and activity recognition. The added features of car crash detection, fall detection and social distancing detection can be used to implement a real-time video surveillance system that can help save lives and protect people. Such a real-time video surveillance system could be installed at street and traffic cameras and in CCTV systems. When this system would detect a car crash or a fatal human or pedestrian fall with injury, it can be programmed to send automatic messages to the nearest local police, emergency and fire stations. When this system would detect a social distancing violation, it can be programmed to inform the local authorities or sound an alarm with a warning message to alert the public to maintain their distance and avoid spreading their aerosol particles that may cause the spread of viruses, including the COVID-19 virus.

This paper proposes an improved and augmented version of the YOLOv3 model that has been extended to perform activity recognition, such as car crash detection, human fall detection and social distancing detection. The proposed model is based on a deep learning convolutional neural network model used to detect objects in images. The model is trained using the widely used and publicly available Common Objects in Context data set. The proposed model, being an extension of YOLO, can be implemented for real-time object and activity recognition. The proposed model had higher accuracies for both large-scale and all-scale object detection. This proposed model also exceeded all the other previous methods that were compared in extending and augmenting the object detection to activity recognition. The proposed model resulted in the highest accuracy for car crash detection, fall detection and social distancing detection.