Search results

The purpose of this paper is to propose a conceptual framework for product service system (PSS) design for machine tools and discuss the PSS implementation issues focusing on the Indian machine tool business sector.

The paper opted for an exploratory survey conducted in the Indian machine tool sector including 39 in-depth interviews with employees of different organizations representing middle and senior management having decision-making authority. It also involves proposing a framework to address the stakeholder’s requirements for services that offers foundation for PSS designers.

The paper helps get an insights about key issues for PSS implementation by the Indian machine tool sector. The hybrid PSS model proposed in the paper can address the stakeholder’s requirements for flexibility in business models through different business phases.

The paper offers suggestions for the development of PSS for machine tools for designers and identify issues to be considered particularly in Indian machine tools business context.

This paper provides an insight to judge the feasibility of PSS concept for machine tools in Indian context and offers framework for PSS designers.

The aim of this paper is to study the effect of laser shock peening (LSP) on mechanical behaviour of the laser-directed energy deposition (LDED)-based printed 15-5 PH stainless steel with U and V notches. The study specifically concentrates on the evaluation of effect of scan strategy, machining and LSP processing on microstructural, texture evolution and fatigue behaviour of LDED-printed 15-5 PH steel.

For LSP treatment, 15-5 PH steel was printed using LDED process with bidirectional scanning strategy (XX [θ = 0°) and XY [θ = 90°]) at optimised laser power of 600 W with a scanning speed of 300 mm/min and a powder feed rate of 3 g/min. Furthermore, LSP treatment was conducted on the V- and U-notched fatigue specimens extracted from LDED-built samples at laser energy of 3.5 J with a pulse width of 10 ns using laser spot diameter of 3 mm. Post to the LSP treatment, the surface roughness, fatigue life assessment and microstructural evolution analysis is performed. For this, different advanced characterisation techniques are used, such as scanning electron microscopy attached with electron backscatter diffraction for microstructure and texture, X-ray diffraction for residual stress (RS) and structure information, Vicker’s hardness tester for microhardness and universal testing machine for low-cycle fatigue.

It is observed that both scanning strategies during the LDED printing of 15-5 PH steel and laser peening have played significant role in fatigue life. Specimens with the XY printing strategy shows higher fatigue life as compared to XX with both U- and V-notched conditions. Furthermore, machining and LSP treatment led to a significant improvement of fatigue life for both scanning strategies with U and V notches. The extent of increase in fatigue life for both XX and XY scanning strategy with V notch is found to be higher than U notch after LSP treatment, though without LSP samples with U notch have a higher fatigue life. As fabricated sample is found to have the lowest fatigue life as compared to machines and laser peened with both scan strategies.

This study presents an innovative method to improve the fatigue life of 15-5 PH stainless steel by changing the microstructure, texture and RS with the adoption of a suitable scanning strategy, machining and LSP treatment as post-processing. The combination of preferred microstructure and compressive RS in LDED-printed 15-5 PH stainless steel achieved with a synergy between microstructure and RS, which is responsible to improve the fatigue life. This can be adopted for the futuristic application of LDED-printed 15-5 PH stainless steel for different applications in aerospace and other industries.

This study aims to estimate total factor productivity (TFP) growth for the post-2008 period for selected industries in the manufacturing sector at NIC 3-digit. Total factor productivity growth (TFPG) estimates are based on the theoretical framework provided by studies such Hall (1988), Abraham et al. (2009) and Crepon et al. (2005) that incorporate market imperfection in labour and product market, thereby modifying the traditional TFP estimation as Solow Residual.

Based on the theoretical model that incorporates market imperfections in labour as well as product market in modifying the TFP estimates using the Levinsohn–Petrin framework of empirical estimation, the authors have calculated industry wise TFPG for 62 industries at NIC 3-digit level.

The study finds three distinct trends: first, there are considerable industrial disparities in productivity growth in terms of TFP. The estimates have been found to be higher than the conventional Solow Residual for most industries, indicating the role played by market imperfections in affecting the conventional measure of productivity growth. Second, estimates of bargaining power are found to be lower than those compared to the earlier estimates in Maiti (2013) for the Indian organised manufacturing case for 1998-2005. This observation is commensurate with the observation in recent years of a falling share in labour wage in total output in organised manufacturing sector. Finally, the study also found a statistically significant contribution of greater mechanisation on TFPG while an adverse effect of the rising dependence of organised manufacturing on contractual labour.

The role of market imperfections in measuring TFPG has been undertaken, and it has been found to be an important factor, as the estimated measures vary from the conventional measures of TFPG. Moreover, the study has considered a very recent period from 2008-2015 in estimating TFPG, as well as analysing the factors behind the trends in TFPG at industrial level.

For the first time in a decade, a new form of pneumonia virus, coronavirus, COVID-19, appeared in Wuhan, China. To date, it has affected millions of people, killed thousands and resulted in thousands of deaths around the world. To stop the spread of this virus, isolate the infected people. Computed tomography (CT) imaging is very accurate in revealing the details of the lungs and allows oncologists to detect COVID. However, the analysis of CT scans, which can include hundreds of images, may cause delays in hospitals. The use of artificial intelligence (AI) in radiology could help to COVID-19-positive cancer in this manner is the main purpose of the work.

CT scans are a medical imaging procedure that gives a three-dimensional (3D) representation of the lungs for clinical purposes. The volumetric 3D data sets can be regarded as axial, coronal and transverse data sets. By using AI, we can diagnose the virus presence.

The paper discusses the use of an AI for COVID-19, and CT classification issue and vaccination details of COVID-19 have been detailed in this paper.

Originality of the work is, all the data can be collected genuinely and did research work doneown methodology.

At the end of the case study discussion, students will able to state the importance of outsourcing with comparing pros and cons in business decision-making; review the value bestowed to the community in using sustainable raw material while at the same time conserving the ancient style of artwork particular to the area; discuss the utility of the products manufactured by “Flying Colours,” especially for the lockdown period which was because of the pandemic; and demonstrate and interpret the use of shark and mosquito bite matrix.

Arun Kumar Patni, 47, and his wife Neelima Patni, 43, are co-founders of Flying Colours, a start-up company based in Jaipur, in the state of Rajasthan, India. Their enterprise was engaged in the manufacturing and marketing of bird products and accessories, including bird feeders, bird houses, earthen water bowls, etc. In July 2020, post-lockdown, they were desperate to hire carpenters to restart their factory. However, COVID-19 posed a serious challenge, making it very difficult to replace their skilled carpenters, who had returned to their native places and had not come back. This disrupted production and order fulfilment. Keeping this situation in perspective in anticipation of the continuing pandemic crisis, Neelima was in favour of outsourcing basic production and designing the birdfeed decoration and artwork in-house. Meanwhile, Arun instead favoured continuing full in-house production as before, by hiring replacement carpenters. Yet for an in-house full-scale production, procuring raw material was a difficult task because of the lockdown. The situation had earlier taken a turn for the worse when Arun had advertised an exchange marketing policy to let customers return their old bird feeders for a 20% discount on a new one. This campaign was a huge success and resulted in a sales spike but unfortunately it caused a huge stock of returned products in their warehouse. Arun initially planned to repair and resell them as refurbished products. It now seemed impossible, because local carpenters demanded higher labour charges than the regular carpenters did. Flying Colours had provided skills workshops and hired external trainers to train unskilled carpenters prior to lockdown, so now all the training investment was in vain. Cash liquidity, sales, marketing, etc. were almost at a standstill.

This case particularly focuses on undergraduate-level students pursuing business or commerce programs, especially those studying core course: Entrepreneurial Strategic Management.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

The purpose of the present paper is to propose a full model‐based method for distance‐mapping calibration for the non‐SVP (non‐single viewpoint) catadioptric camera of the soccer robot. The method should be easy to operate, efficient, accurate, and scalable to fit larger field sizes.

The distance‐mapping model was first constructed based on the imaging principle. The authors then calibrated the internal parameters using the mirror boundary and used the mirror center to choose the correct pose from two possible solutions. The authors then proposed a three‐point method based on a unique solution case of the non‐SVP P3P (perspective‐three‐point) problem to solve the external parameters. Lastly, they built the distance mapping by back‐projection.

The simulation experimental results have shown that the authors' method is very accurate even when there is severe misalignment between the mirror and the camera and that all calibration operations, except the calibration of a standard camera, can be completed in 1 min. The result of the comparison with the traditional calibration method shows that the authors' method is superior to the traditional method in terms of accuracy and efficiency.

The proposed calibration method is scalable to larger fields because it only uses the boundary of the mirror and three feature points on the field, and does not need additional calibration objects. Additionally, an automatic calibration method that can be used during the game can be easily developed based on this method. Moreover, the proposed mirror‐pose‐selection method and a unique solution to the non‐SVP P3P problem are especially useful for a non‐SVP catadioptric camera.

The paper examines financial resilience responses/capacities of governments from Liberia, Sierra Leone and Ghana in relation to COVID-19. It highlights the governments’ fiscal, budgetary and actions as either anticipatory or coping mechanisms towards the pandemic.

Multiple case studies and secondary data were used, including official government documentation/records, expert views, policy publications by supranational organisations and international financial institutions and media reports. Textual analysis was conducted to evaluate the case countries’ resilience.

The paper highlights how governmental budgetary initiatives, including repurposing the manufacturing sector, can sustain businesses, aid social interventions and reduce vulnerability during health crises. In addition, the paper highlights that external borrowing continues to be indispensable in the financial and budgetary initiatives of the case countries. The paper finds that lessons learnt from the Ebola Virus Disease (EVD) in West Africa within the last decade have shaped the anticipatory resilience capacities of the case countries against COVID-19.

The paper uses the notion of resilience, the dimensions of the resilience framework and the resource-based view (RBV) theory to unearth resilience patterns. This sort of combined approach is new to financial resilience studies.

The COVID-19 pandemic emphasises the need for antiviral materials that can reduce airborne and surface-based virus transmission. This study aims to propose the use of additive manufacturing (AM) and surrogate modelling for the rapid development and deployment of novel copper-tungsten-silver (Cu-W-Ag) microporous architecture that shows strong antiviral behaviour against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

The research combines selective laser melting (SLM), in-situ alloying and surrogate modelling to conceive the antiviral Cu-W-Ag architecture. The approach is shown to be suitable for redistributed manufacturing by representing the pore morphology through a surrogate model that parametrically manipulates the SLM process parameters: hatch distance (h_d), scan speed (S_s) and laser power (L_p). The method drastically simplifies the three-dimensional (3D) printing of microporous materials by requiring only global geometrical dimensions solving current bottlenecks associated with high computed aided design data transfer required for the AM of porous materials.

The surrogate model developed in this study achieved an optimum parametric combination that resulted in microporous Cu-W-Ag with average pore sizes of 80 µm. Subsequent antiviral evaluation of the optimum architecture showed 100% viral inactivation within 5 h against a biosafe enveloped ribonucleic acid viral model of SARS-CoV-2.

The Cu-W-Ag architecture is suitable for redistributed manufacturing and can help reduce surface contamination of SARS-CoV-2. Nevertheless, further optimisation may improve the virus inactivation time.

The study was extended to demonstrate an open-source 3D printed Cu-W-Ag antiviral mask filter prototype.

The evolving nature of the COVID-19 pandemic brings new and unpredictable challenges where redistributed manufacturing of 3D printed antiviral materials can achieve rapid solutions.

The papers present for the first time a methodology to digitally conceive and print-on-demand a novel Cu-W-Ag alloy that shows high antiviral behaviour against SARS-CoV-2.

The purpose of this paper is to investigate the effects of two different weight percentages of lanthanum on tin–zinc–antimony solder alloys. Two manufacturing techniques were used: the furnace melting method (FMM) and ball milling method (BMM). The alloys were characterized and mechanically tested.

Tin–zinc–antimony alloys with 0.5 and 1% lanthanum were prepared by FMM and BMM for 25, 30 and 35 h. The tensile, shear, hardness, wear and corrosion properties were characterized using optical microscopy, scanning electron microscopy and X-ray diffraction.

Ball-milled samples were harder and more resistant to wear than furnace-melted samples. Corrosion tests showed that ball-milled samples of both the 0.5 and 1% lanthanum tin-based solders showed higher corrosion than furnace-melted samples. The ball-milled samples exhibited a uniform particle distribution. The ductility of the milled samples was significantly higher than that of the furnace-melted ones. There was strong evidence of the presence of nanoparticles. X-ray diffraction revealed some amorphous phases, which have not been previously reported.

The quality of solder alloys prepared by FMM and BMM was compared. This comparison was not made in previous studies. In addition to the hardness, the wear and corrosion resistances were measured, which have not been previously reported. There seems to be evidence of the presence of nanoparticles in the solder, as suggested by the increase in the elongation. Tensile, elongation and shear tests were performed, and a theory was provided for the results obtained.

The purpose of this paper is to provide a perspective on consumers and technology in a changing world using insights gained from subsistence marketplaces. Consumers in a changing world are on different parts of the economic spectrum and are also reflected in contexts of poverty that is termed subsistence marketplaces. “Data” comes from pioneering the subsistence marketplaces stream of research, education and social enterprise.

The authors study the intersection of poverty and marketplaces, beginning at the micro-level, and take a bottom-up approach to deriving implications.

The authors cover both aspects – what micro-level insights about thinking, feeling and coping mean for technology perceptions and usage in general and what specific insights are derived for designing and implementing solutions that have bearing on the use of technology. In the course of all endeavors in research, education and social enterprise, technology, particularly information and communications technology, has been central.

The authors discuss implications for research at the confluence of a variety of uncertainties inherent in the context of subsistence marketplaces, in environmental issues and climate change and in the nature and speed of technological change and progress.

In this paper, the authors discuss what subsistence marketplaces mean for consumers and technology in a changing world, lessons learned for the design and development of technological solutions, technological innovation from subsistence marketplaces and a broader discussion of the importance of bottom-up approaches to the intersection of subsistence marketplaces and technological solutions.

The authors use insights developed from pioneering the arena of subsistence marketplaces and creating synergies between research, education and social enterprise.