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The purpose of this paper is to apply agent-based modeling and simulation concepts in evaluating different approaches to solve ambulance-dispatching decision problems under bounded rationality. The paper investigates the effect of over-responding, i.e. dispatching ambulances even for doubtful high-risk patients, on the performance of equity constrained emergency medical services.

Agent-based modeling and simulation was used to evaluate two different dispatching policies: first, a policy based on maximum reward, and second, a policy based on the Markov decision process formulation. Four equity constraints were used: two from the patients’ side and two from the providers’ side.

The Markov decision process formulation, solved using value iteration method, performed better than the maximum reward method in terms of number of patients served. As the equity constraints conflict with each other, at most three equity constraints could be enforced at a time. The study revealed that it is safe to over-respond if there is uncertainty in the risk level of the patients.

Further research is required to understand the implications of under-responding, where doubtful high-risk patients are denied an ambulance service.

The need for good triage system is apparent as over-responding badly affects the operational budget. The model can be used for evaluating various dispatching policy decisions.

Emergency medical services have to ensure efficient and equitable provision of services, from the perception of both patients and service providers.

The paper applies agent-based modeling to equity constrained emergency medical services and highlights findings that are not reported in the existing literature.

This paper aims to highlight how the six sigma methods helped the medical equipment manufacturing company in finding and analysing the root causes that lead to the reduction in production rate, rejection rates, quality and other major causes that lead to the reduction in productivity of the blood bags manufacturing unit.

Given the critical nature of blood bag manufacturing Six Sigma was chosen as the primary methodology for this research since Six Sigma’s data-driven approach provides a structured framework to identify, analyse and rectify inefficiencies in the production processes. This study proposes the Six Sigma DMAIC (D-Define, M-Measure, A-Analyse, I-Improve, C-Control) encompassing rigorous problem definition, precise measurement, thorough analysis, improvement and vigilant control mechanisms for effectively attaining predetermined objectives.

The paper demonstrates how the Six Sigma principles were executed in a blood bag manufacturing unit. After a detailed and thorough data analysis, it was found that a total of 40 critical-to-quality factors under the five drivers such as Machine, Components, Inspection and Testing, People and Workspace were influential factors affecting the manufacturing of blood bags. From the study, it is identified that the drivers such as inspection and testing, components and machines contribute significantly to increasing productivity.

The paper offers valuable strategic insights into implementing Six Sigma methodologies within the specific context of a blood bag manufacturing unit. The Six Sigma tools and techniques used by the project team to solve issues within the blood bag manufacturing unit can be used for similar healthcare organizations to successfully deploy Six Sigma. The insights from this research might not be directly applicable to other manufacturing facilities or industries but can be used as a guiding reference for researchers and managers.

The current state of scholarly literature indicates a significant absence in the examination of Six Sigma methodologies designed specifically to improve production output in healthcare equipment manufacturing. This paper highlights the application of Six Sigma principles to enhance efficiency in the specific context of blood bag manufacturing.

The purpose of this editorial is to introduce the Special Issue “Agent-Based Models of Bounded Rationality” and to provide an overview of its rationale and main objectives.

After outlining the overall framework to justify the choice of agent-based modeling in relation to bounded rationality, an overview of the six papers published in the Special Issue is presented.

The paper argues that simulation of complex adaptive social systems is a way to set the ground for updating the concept of bounded rationality and prepare for it to still play a significant role in the years to come.

After its introduction, bounded rationality remained mostly used but seldom discussed in both its assumptions and its meaning. The originality of this introduction is to unveil some of the points that keep rationality still at the core of organization and team research.

In the developing field of nano-materials synthesis, copper oxide nanoparticles (NPs) are deemed to be one of the most significant transition metal oxides because of their intriguing characteristics. Its synthesis employing green chemistry principles has become a key source for next-generation antibiotics attributed to its features such as environmental friendliness, ease of use and affordability. Because they are more environmentally benign, plants have been employed to create metallic NPs. These plant extracts serve as capping, stabilising or hydrolytic agents and enable a regulated synthesis as well.

Organic chemical solvents are harmful and entail intense conditions during nanoparticle synthesis. The copper oxide NPs (CuO-NPs) synthesised by employing the green chemistry principle showed potential antitumor properties. Green synthesised CuO-NPs are regarded to be a strong contender for applications in the pharmacological, biomedical and environmental fields.

The aim of this study is to evaluate the anticancer potential of CuO-NPs plant extracts to isolate and characterise the active anticancer principles as well as to yield more effective, affordable, and safer cancer therapies.

This review article highlights the copper oxide nanoparticle's biomedical applications such as anticancer, antimicrobial, dental and drug delivery properties, future research perspectives and direction are also discussed.

This study aims to investigate the mechanical properties of sustainable recycled polypropylene (rPP) composite materials integrated with spherical silicon carbide (SiC) particles.

A representative volume element (RVE) analysis is employed to predict the Young’s modulus of rPP filled with spherical-shaped SiC at varying volume percentages (i.e. 10, 20 and 30%).

The investigation reveals that the highest values of Young’s modulus, tensile strength, flexural strength and mode 1 frequency are observed for the 30% rPP/SiC samples, exhibiting increases of 115, 116, 62 and 15%, respectively, compared to pure rPP. Fractography analysis confirms the ductile nature of pure rPP and the brittle behavior of the 30% rPP/SiC composite. Moreover, the RVE method predicts Young’s modulus more accurate than micromechanical models, aligning closely with experimental results. Additionally, results from ANSYS simulation tests show tensile strength, flexural strength and frequency within a 10% error range when compared to experimental data.

This study contributes to the field by demonstrating the mechanical enhancements achievable through the incorporation of sustainable materials like rPP/SiC, thereby promoting environmentally friendly engineering solutions.

The purpose of this study is to collaborate with environmental engineering and management making an effort to provide evidence for the irresponsible behavior of small business set up in north India with special reference to Aligarh City. Corporates have huge accountability for sustainable development, and they cannot overlook the major responsibilities which are lying on their shoulders. CSR is related to the concept of “doing good” but, beyond “doing good” businesses have the responsibility for “avoiding bad” to avoid corporate social irresponsibility (CSI), such as damaging the environment by polluting land, water and air, cheating customers, violating human rights, or doing any unethical practices.

In this study, random groundwater samples were collected from “Aligarh Nagar Nigam” installed hand pumps from industrial influence areas of Aligarh during the month of October and November 2017. These samples were collected nearby small-scale metal plating industries plants. The samples analyzed by the Atomic Absorption Spectrometer (AAS) Perkin Elmer PinAAcle 900 F, for Fe, Mn, Pb, Zn, Cu and Cr (Jahromi et al., 2007; Chen and Teo, 2001; Bidari et al., 2007; Land and Hoops, 1973; de Oliveira et al., 2016; Akoto et al., 2016). In addition, some other parameters also taken in this study and the results obtained are compared with the World Health Organization (WHO) and Bureau of Indian Standard (BIS).

These results of the study revealed that the penetration of heavy metals like Cr, Pb, Cu, Zn, Fe and Mn into the soil is found much higher than the permissible limit stated by the government. The concentrations of metals in groundwater found to be within limits, but some metals are exceeding the standard limits in few samples. Concentrations of these heavy metals Cr>Cu>Pb>Fe>Mn are exceeding standard limits, Zn found within permissible limits as per WHO and BIS standard. This result proves to be a means to an end for an irresponsible behavior toward the society and environment which leads to serious health and environmental hazards.

The results are beneficial for data generation on various quality parameters of groundwater. The results of this study help in proper decision-making by concerned authorities to prevent, reduce toxic levels and begin to take steps for making water fit for drinking and other purposes. The research is limited in Aligarh City and other cities are like Kanpur, Noida and Ghaziabad are also tested by taking samples of water, as these cities are extensively captured by SME’s and large scale industries.

The results of this study have several implications for both governmental and non-governmental practice and policy development. As society expects positive attitudes of the businesses toward CSR activities and concern about the environment, businesses, institutions and governments should pay more attention to promote the initiative of environment safety to intensify their public concern. The small business unit must know about the serious health hazards of discharging the waste water in the open and therefore regular checking of heavy metal contamination in the groundwater in these areas is needed and use of contaminated water must be prevented to lessen the health risk caused by using the metal contaminated groundwater. The small-scale industries should follow the guidelines for proper disposal of wastewater discharge. The water treatment technology should involve and take possible steps to remove heavy metals contamination.

This study provides real data to municipality and other government offices which can be used as a benchmark to plan strict policy to prohibit the open discharge of wastewater by industries.

Micro-finance self-help groups empower caregivers to indulge in productive activities based on the local availability of resources to reduce their financial burden. The purpose of this paper is to assess the need for and feasibility of initiating micro-finance groups for the caregivers of persons with mental disability in a rural socio-economically backward community of Karnataka, India.

The design of the study was a cross-sectional survey, with mixed methodology design out of the eight localities where the Mental Health Public Health Centres (PHC) were running successfully in Konandur area, Thirthahalli Taluk, Karnataka, one PHC was selected using simple Random Sampling Design and a 5 kms radius from Konandur town was selected as the area of the survey (190 households). During door-to-door survey, if the family indicated that a particular member is mentally unwell, the GHQ-5 and Symptoms and Others checklist were administered on him/her and the women caregiver was interviewed using qualitative needs assessment schedule and Perceived Social Support Scale.

Ten persons/households with mental illness (5.26 per cent) were identified in the community. Themes of financial needs, capacity of the caregiver, community resources, need for the microfinance self-help groups, informational needs, social support, burn out, and stigma elicited in the interview were depicted in the form of a conceptual framework to understand the inter-connectedness between the various themes.

This study is the first initiative in the field of micro-finance self-help groups for the persons with mental illness and families. The design of the study was a cross-sectional survey, which is found globally to be the most suited in conducting prevalence studies, as it provides accurate results for future studies as well as it is the first step to obtain accurate baseline values to later plan a prospective follow up study. The study used mixed methodology design. Though the sample size was small, the information collected from the participants in qualitative and quantitative method was triangulated and conceptual frameworks were developed. As this study is one of the first of its kind in the country, the results of this study from the stated sample can be considered as an important pilot for future longitudinal and cross-sectional studies to be planned in the community.

There is hardly any scientific literature which talks about the need for Micro-finance self-help groups for Persons with Disability, especially with person with mental disability. In order to initiate any Micro-finance SHG activities, it is essential to first undertake the need for and feasibility of initiating such micro-finance group activities in any given area. This study will be an important milestone in initiating any self-help group activity for caregivers of persons with mental disability, as it would help us understand the financial needs of the community, based on which a draft proposal to initiate micro-finance self-help group activities can be drawn up.

Laparoscopic surgeons suffer because of discomfited body posture while performing surgery and experience discomfort owing to lack of customized surgical instruments. Accordingly, this paper aims to recommend an individual customization strategy by developing an ergonomically designed laparoscopic forceps handle and thereby increase the comfort of surgeons.

Hand anthropometric parameters of 282 south Indian male subjects are used to customize the handle. uPrint and Objet260 Connex, which works based on fused deposition modeling and PolyJet, respectively, are used to fabricate the prototype of the handle. Design modifications include a pistol-type grip, the increased contact area between the hand and handle, and neutral wrist posture.

Ergonomic evaluation parameters such as grip, functionality, comfort and wrist posture using subjective ratings from laparoscopic surgeons were recorded and obtained average values of 4.1, 3.6, 4.1 and 4.1, respectively, based on a five-point ordinal scale. Additionally, stress analysis also confirms the safety of the handle based on von Mises stress criteria.

Anthropometric data are limited to 282 subjects and subjective evaluation is conducted using a prototype, not the end-use product.

Evaluation using subjective rating confirms the ascendancy of a modified handle over the existing handle in terms of assessed parameters. The proposed individual customization strategy can be applied for other industrial hand tools to enhance comfort.

Additive manufacturing (AM) is a rapidly evolving manufacturing process, which refers to a set of technologies that add materials layer-by-layer to create functional components. AM technologies have received an enormous attention from both academia and industry, and they are being successfully used in various applications, such as rapid prototyping, tooling, direct manufacturing and repair, among others. AM does not necessarily imply building parts, as it also refers to innovation in materials, system and part designs, novel combination of properties and interplay between systems and materials. The most exciting features of AM are related to the development of radically new systems and materials that can be used in advanced products with the aim of reducing costs, manufacturing difficulties, weight, waste and energy consumption. It is essential to develop an advanced production system that assists the user through the process, from the computer-aided design model to functional components. The challenges faced in the research and development and operational phase of producing those parts include requiring the capacity to simulate and observe the building process and, more importantly, being able to introduce the production changes in a real-time fashion. This paper aims to review the role of robotics in various AM technologies to underline its importance, followed by an introduction of a novel and intelligent system for directed energy deposition (DED) technology.

AM presents intrinsic advantages when compared to the conventional processes. Nevertheless, its industrial integration remains as a challenge due to equipment and process complexities. DED technologies are among the most sophisticated concepts that have the potential of transforming the current material processing practices.

The objective of this paper is identifying the fundamental features of an intelligent DED platform, capable of handling the science and operational aspects of the advanced AM applications. Consequently, we introduce and discuss a novel robotic AM system, designed for processing metals and alloys such as aluminium alloys, high-strength steels, stainless steels, titanium alloys, magnesium alloys, nickel-based superalloys and other metallic alloys for various applications. A few demonstrators are presented and briefly discussed, to present the usefulness of the introduced system and underlying concept. The main design objective of the presented intelligent robotic AM system is to implement a design-and-produce strategy. This means that the system should allow the user to focus on the knowledge-based tasks, e.g. the tasks of designing the part, material selection, simulating the deposition process and anticipating the metallurgical properties of the final part, as the rest would be handled automatically.

This paper reviews a few AM technologies, where robotics is a central part of the process, such as vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, DED and sheet lamination. This paper aims to influence the development of robot-based AM systems for industrial applications such as part production, automotive, medical, aerospace and defence sectors.

The presented intelligent system is an original development that is designed and built by the co-authors J. Norberto Pires, Amin S. Azar and Trayana Tankova.