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The purpose of this paper is to create a resilient supply chain (SC) plan to contain disruptions and risks in the overall operations of a business.

The study integrates resilience considerations in a business planning model that formulates resilience performance (RP) of SC functions in terms of flexibility, reliability, and similar system factors. It evaluates the RP of SC plans and determines their vulnerability considering required and planned resources. The model estimates the possible effects of disasters on vulnerable functions using a scenario-based analysis and plans containment options. It also includes decision options for deploying resources to achieve the expected levels of resilience by preventing potential vulnerabilities. The model takes optimum decision in a what-if approach by comparing performance of the existing business plan, with options for containing the vulnerabilities inherent in not considering potential risks when planning to fulfill market demand, and the performance of a resilient plan that includes decision options to prevent vulnerabilities where possible and mitigate them otherwise.

It is possible, for example, to evaluate RP of SC plans, identify vulnerable functions, and decide optimum option to create resilient business system.

The present study takes a generic approach and creates bases to explore its application in any industry-based case.

The research introduces formulations for RPs and vulnerability indices that can be included in a planning model to create a resilient SC.

Vacation rental homes, in general, have different energy usage characteristics than traditional residential homes mainly because of the occupancy pattern that changes on a weekly basis. These homes, predominantly larger in size, offer a greater scope for energy savings also because of the wasteful habits of their seasonal occupants. The purpose of this paper is to investigate the causes of energy inefficiencies prevalent in these homes so that appropriate retrofit choices can be offered to homeowners.

This research presents a case study of a vacation rental home whose energy consumption was investigated in depth and energy inefficiencies identified through modeling using energy modeling software, eQUEST. Simulations were performed to identify viable retrofit scenarios.

While improvement in the building envelope such as providing shades/overhangs on the windows, reducing infiltration and increasing insulation of the exterior wall did not show promising results for savings on energy cost, other improvements such as use of highly efficient lamps, tank-less water heater system and occupancy sensors showed viable investment options with shorter payback periods. It was also found that energy use intensity of sampled houses was about half of the average of US residential buildings, which could primarily be attributed to the seasonal nature of occupancy of these houses.

There is a dearth of literature pertaining to energy efficiency-related retrofits of coastal vacation homes. This research fills that gap to some extent by addressing this issue with an ultimate aim of assisting homeowners in retrofit decision-making.

The purpose of this paper is to: develop an effective cellular manufacturing system (CMS) design methodology by simultaneously considering system costs and individual machine reliabilities; and propose a combinatorial search‐based solution procedure to solve large‐sized problems.

This paper presents a multi‐objective mixed integer‐programming model for the design of CMS with the objective of minimizing costs and maximizing system reliability. The approach optimizes inter‐cell material handling costs, the variable cost of machining operations, and the machine under‐utilization costs. It also maximizes the system reliability by selecting process routes for the part types with the highest system reliability for the machines along the routes. To solve the multi‐objective, multiple process plan model, a simulated annealing (SA)‐based algorithm is developed. The algorithm follows the basic steps of SA, but also incorporates the genetic algorithm (GA) operations of crossover and mutations to generate better neighboring solutions from the current good solutions.

The algorithm in the paper solves the multi‐objective CMS design model and generates near optimal solutions for medium to large‐sized problems within reasonable limits of CPU time.

In the paper the CMS design approach can be implemented to improve reliability performance of the CMS.

A new CMS design methodology in this paper, which minimizes system costs and maximizes machine‐related system reliability, is developed. The proposed algorithm, which combines the basic steps of SA and crossover and mutation operations of GA, will enable CMS designers and users to obtain near optimal solutions for practical‐sized problems within reasonable time limits.

This paper aims to present a reverse engineering (RE) approach for three-dimensional (3D) model reconstruction and fast prototyping (FP) of broken chess pieces.

A case study involving a broken chess piece was selected to demonstrate the effectiveness of the proposed unconventional RE approach. Initially, a laser 3D scanner was used to acquire a (non-uniform rational B-spline) surface model of the object, which was then processed to develop a parametric computer aided design (CAD) model combined with geometric design and tolerancing (GD&T) technique for evaluation and then for FP of the part using a computer numerical controlled (CNC) machine.

The effectiveness of the proposed approach for reconstruction and FP of rotational parts was ascertained through a sample part. The study demonstrates non-contact data acquisition technologies such as 3D laser scanners together with RE systems can support to capture the entire part geometry that was broken/worn and developed quickly through the application of computer aided manufacturing principles and a CNC machine. The results indicate that design communication, customer involvement and FP can be efficiently accomplished by means of an integrated RE workflow combined with rapid product development tools and techniques.

This research established a RE approach for the acquisition of broken/worn part data and the development of parametric CAD models. Then, the developed 3D CAD model was inspected for accuracy by means of the GD&T approach and rapidly developed using a CNC machine. Further, the proposed RE led FP approach can provide solutions to similar industrial situations wherein agility in the product design and development process is necessary to produce physical samples and functional replacement parts for aging systems in a short turnaround time.

The open objective of liberalization or globalization for the developed nations is the expansion of market or the creation of opportunities to produce and sale more and more goods and/or services beyond the domestic market which ultimately lead the nation in the right path of development. On the other hand, this economic environment is a challenge for the developing or less developed or small nations with respect to share of world trade to compete with the developed or large nations with respect to the quality of the product, technology, skill of human resources, etc. There arise tariff impositions to protect the domestic economies to defend against the challenges. Under these circumstances, this chapter tries to investigate the impact of such tariff war measured by trade as a percentage of GDP on the per capita GDP of the nations. It finds that all the variables are cointegrated. The effect depends on how we measure world tariff, for example, the effect of tariff on trade is positive and significant when we measure the world tariff as simple mean of all products but the effect of tariff on trade is negative and statistically significant when we take tariff as weighted mean of all products. Similarly, the effect of tariff on per capita income is positive if tariff is measured with simple average of all products but this effect is negative and significant when it is measured with weighted mean of all products. In this case, imposition of world tariff (weighted mean of all products) declines world per capita income especially in short run.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

Women as a group have long been treated unequal to men, and subjugated and exploited just because they are women. Till now, women have been the most marginalized and vulnerable group across the societies and economic systems. However, because of the sustained and dedicated works of Feminism, now their right to equality has been recognized and legalized in almost all the countries. Over the past 100 years, since Feminism began as a moment and theory, now we have a large body of knowledge and a vast experience to understand and redress women’s inequality and injustice significantly.

The present paper is an attempt to represent the picture of women from a gender perspective. Gender analysis shows that ‘Women are not born weak, they are made weak’. I myself fully subscribe to this view. Although the biological differences between men and women cannot be denied, but despite this women are as efficient as men. They are not born by nature inferior to men in reason, intellect, talent or in any other respect. In fact, they are made weak by religious, cultural, socio-economic and other conditions prevailing in the patriarchal society.

Sexual and biological difference is a genuine difference but should not be a ground to distribute burden and benefit. The concept of women equality assumes that women are different from men, but treated as weaker and need privileges to be at par with men.

This paper also tries to explore the factors responsible for the inferior and secondary status of women in society and suggests some serious strategies to enhance the status of women and to make them enable to live a dignified life.

The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence, resulting in the emergence of novel capabilities. These capabilities have significantly reshaped the manufacturing ecosystem, enabling it to effectively navigate uncertainties. The purpose of this study is to assess the operational transformations resulting from the implementation of smart manufacturing, which distinguish it from conventional systems.

A list of qualitative and quantitative smart manufacturing performance metrics (SMPMs) are initially suggested and categorized into strategic, tactical and operational levels. The SMPMs resemble the capabilities of smart manufacturing systems to manage disruptions due to uncertainties. Then, industry and academia experts validate the SMPMs through the utilization of the Delphi method, enabling the ranking of the SMPMs.

The proposition of the SMPMs serves as a metric to assess the digital transformation capabilities of smart manufacturing systems. In addition, the ranking of the proposed SMPMs shows a degree of relevance of the measures in smart manufacturing deployment and managing the disruptions caused due to the COVID-19 pandemic

The findings benefit managers, consultants, policymakers and researchers in making appropriate decisions for deploying and operationalizing smart manufacturing systems by focusing on critical SMPMs.

The research provides a metric to assess the operational transformations during the deployment of smart manufacturing systems. Also, it states the role of the metric in managing the potential disruptions that can alter the performance of the business due to the COVID-19 pandemic.