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The purpose of this paper is to investigate experimentally the effect of volume of casting, pouring temperature of different materials and shell mould wall thickness on the surface roughness of the castings obtained by using ZCast direct metal casting process.

Taguchi's design of experiment approach was used for this investigation. An L9 orthogonal array (OA) of Taguchi design which involves nine experiments for three factors with three levels was used. Analysis of variance (ANOVA) was then performed on S/N (signal‐to‐noise) ratios to determine the statistical significance and contribution of each factor on the surface roughness of the castings. The castings were obtained using the shell moulds fabricated with the ZCast process and the surface roughness of castings was measured by using the surface roughness tester.

Taguchi's analysis results showed that pouring temperature of materials was the most significant factor in deciding the surface roughness of the castings and the shell mould wall thickness was the next most significant factor, whereas volume of casting was found insignificant. Confirmation test was also carried out using the optimal values of factor levels to confirm the effectiveness of this approach. The predicted optimal value of surface roughness of castings produced by ZCast process was 6.47 microns.

The paper presents experimentally investigated data regarding the influence of various control factors on the surface roughness of castings produced by using ZCast process. The data may help to enhance the application of ZCast process in traditional foundry practice.

This paper seeks to review the industrial applications of state‐of‐the‐art additive manufacturing (AM) techniques in metal casting technology. An extensive survey of concepts, techniques, approaches and suitability of various commercialised rapid casting (RC) solutions with traditional casting methods is presented.

The tooling required for producing metal casting such as fabrication of patterns, cores and moulds with RC directly by using different approaches are presented and evaluated. Relevant case studies and examples explaining the suitability and problems of using RC solutions by various manufacturers and researchers are also presented.

Latest research to optimize the current RC solutions, and new inventions in processing techniques and materials in RC performed by researchers worldwide are also discussed. The discussion regarding the benefits of RC solutions to foundrymen, and challenges to produce accurate and cost‐effective RC amongst AM manufacturers concludes this paper.

The research related to this survey is limited to the applicability of RC solutions to sand casting and investment casting processes. There is practically no implication in industrial application of RC technology.

This review presents the information regarding potential AM application – RC, which facilitates the fabrication of patterns, cores and moulds directly using the computer‐aided design data. The information available in this paper serves the purpose of researchers and academicians to explore the new options in the field of RC and especially users, manufacturers and service industries to produce casting in relatively much shorter time and at low cost and even to cast complex design components which otherwise was impossible by using traditional casting processes and CNC technology.

Supply chain management.

The case is suitable for post graduates in management, and for those managing small sector supply and manufacturing systems.

ACPL is an organisation which moved from trading to manufacturing a technology product instrument transformers (ITs) for power utility companies for 11 years, competing with the best in industry, reducing internal costs, and modernising the supply chain. ACPL was started as a trading organisation in electrical items in Delhi by Munish Kumar, an engineer by profession in 2001. In 2004 he ventured into manufacturing, which expanded in two locations in Ghaziabad, NCR Delhi. Later his two sons, engineer and management graduate, respectively, joined the organisation. In less than a decade, by 2007, ACPL had grown to be a private limited organisation. ACPL manufactures ITs required by power boards and companies for conversion and usage of high voltage (11 kV/33 kV) transmitted power into 220 V single phase/440 V three phase power. From tender/enquiry through manufacturing to inspection and despatch takes a long supply chain cycle time holding space as well as inventory. An interview with the chairman of ACPL in the case highlights issues affecting its margins and growth. The long process to delivery time may be in vogue in this type of industry but this holds up a huge inventory. The company management has been working to resolve this crisis along with an urgent need to grow in a competitive environment. The problem is being addressed.

This case study should help students to understand the concept of the supply chain and supply cycle, in a manufacturing company in particular. It has been found that students understand the supply chain as part of the marketing function dealing with finished stocks, warehousing and delivery to end customers as per agreements, and arranging payments from customers. The supply chain also deals with in bound materials management. Raw materials planning, purchasing, inventory management are crucial for effective business operations management in any organisation.

Teaching notes are available; please contact your librarian for access.

This paper aims to understand whether the relationship between psychological empowerment, psychological well-being and higher person–job fit based on the self-determination theory could have mitigated the Great Resignation crisis.

A cross-sectional study was conducted by collecting data from 351 respondents working in Indian organizations (Nifty, 2020) using a standardized questionnaire by using the multifaceted psychological construct within the work context.

This study highlights that a moderated mediation relationship between psychological empowerment (specifically “impact” or “choice”) and psychological well-being (specifically “environmental mastery”) is impacted by the person–job “demand-abilities” fit and enhances the intention to stay in the current “great resignation” context.

The authors map the theoretical and empirical research of the “intention to stay” by developing the “demand-abilities” fit, which leads to higher levels of psychological empowerment and psychological well-being to build adaptability through effective learning practices.

The authors establish the underlying linkages and future research agenda to strengthen the “intention to stay” during the extraordinarily stressful context of the covid-19 pandemic.

Introduction: Artificial intelligence (AI), the engineering of brilliant machinery, performs intelligent human intelligence tasks, such as learning and problem-solving. Insurance is a financial protection policy either for individuals or entities to reimburse losses from the insured company. The role of AI in insurance always helps enhance customer services and understand their behaviour.

Purpose: This chapter aims to determine the role of AI in the insurance industry in India. The insurance industry is expanding very fast, and to further increase its horizons, the part of the technology of AI is essential. However, this sector has initiated using AI technology and is expanding its scope to benefit the customers.

Methodology: The authors selected research papers of the last five years to review and determine how the technology changed during the period and how an increase in AI benefits the industry and facilitates delivering the best services, and understanding the customer’s needs and behaviour.

Findings: It has been found that the industry is moving very fast and adopting the AI technology methods to enhance customer services, betterment for growing India, and serve insurance services to the nation efficiently.