With the ever-increasing demands for high surface finish and complex shape geometries, conventional metal removal methods are now being replaced by non-traditional machining (NTM) processes. These NTM processes use energy in its direct form to remove materials in the form of atoms or molecules to obtain the required accuracy and burr-free machined surface. In order to exploit the optimal capabilities of the NTM processes, it is often required to determine the best possible combinations of their controllable parameters. Different non-conventional optimization techniques have been used for dealing with these process optimization problems because of their inherent advantages and capabilities for arriving at the almost global optimal solutions. This paper reviews the applications of different non-conventional optimization techniques for parametric optimization of NTM processes. It is observed that electrical discharge machining processes have been optimized most number of times, followed by wire electrical discharge machining processes. In most of the cases, the past researchers have preferred to maximize material removal rate. Genetic algorithm has been found to be the most popular non-conventional optimization technique.

In competitive electricity markets, power needed for the network’s reserve is purchased from the ancillary service market. In this market, producing units and buyers alike announce their offers. As will be seen, energy market and reserve market implementation is possible with simultaneous method and serial method by choosing each of the methods based on the type of market and other conditions. In this paper, the energy market and the active power reserve market are simulated in two formations as serial and simultaneous for a uniform pricing system. In each method, limitations of transferring power over the lines, based on available transfer capacity (ATC), is considered alongside the other constraints in the energy market and the active power reserve market. Then, during network overload, economic dispatch is accomplished between winner units in the reserve market by using a linear optimization problem, and needed power is provided from these units at a minimal cost. Finally, our proposed methods are implemented on an IEEE 39-bus test system and results are analyzed.

The effect of football neck collar on the right external carotid blood flow was investigated for ten healthy subjects using Echo-Doppler technique and computational fluid dynamics (CFD) approach. Carotid is in charge of blooding head’s parts including the brain and eyes. Hence, the evaluation of affected carotid flow by using neck collars is crucial for an improved ergonomic design. The testings were divided into three main categories; participants without wearing neck collar (Category 1), wearing neck collar (Category 2), and finally wearing neck collar with an embedded gap adjacent to the carotid artery position (Category 3). The experimental and numerical results revealed that wearing the neck collar (Category 2) reduced the average blood carotid flow by 28% compared to the case with no neck collar (Category 1). This average blood carotid flow reduction was improved by 15% when a gap separates the collar from the carotid artery position (Category 3). The results of this paper suggest a new design for the next generation of the neck collar by devising an appropriate gap near to carotid artery. The numerical results were validated and were in a reasonable agreement with the experimental data.

Activity based costing (ABC) is a new age accounting system developed to overcome the limitations of traditional costing system, which in today’s technologically advanced world has lost its ability to provide accurate and useful cost information often required in taking various managerial decisions, like setting of selling price, ascertaining profitability of products as well as customers, taking a make or buy decision, eliminating the non-beneficial activities, and rewarding the employees. In this paper, an ABC model is developed for a government hospital in the state of Bihar in India to quantify its various public health related services. Although, there are limited published research papers related to application of ABC model in a specific department or method of a healthcare system, none of them has investigated its scope for organization-wide implementation. The results obtained from the developed ABC model in the public hospital would provide more comprehensive and accurate cost information, and radically contribute to the hospital administration in effective planning, controlling and decision making. This paper also elucidates about various obstructions and difficulties encountered during the implementation phase of ABC model in an Indian healthcare setting.

Human resource management plays an essential role on development of any business organization. Selection of employee normally depends on various criteria such as employee commitment, necessary skills, etc. Therefore, a good strategy to hire appropriate employee is a multi-criteria decision making (MCDM) specially the ones, which could handle uncertainty, properly. In this paper, we present a method to use MCDM techniques for hiring employees. In fact, the present work proposes a Fuzzy Analytic Hierarchy Process (FAHP) as one of the most popular multi-criteria decision making techniques. A computer application is developed where it receives the configuration of the employee selection problem, evaluates the candidates and ranks them using the appropriate voting system.

The concept of green inventory systems is very important for economic growth and development in the era of sustainable development. There is a special need for green inventory systems to identify and manage perishable products since spoilage and deterioration can lead to significant losses of items, which negatively affect the satisfaction of consumers. As perishable products decay continuously (such as vegetables, fruits, milk, juices, frozen foods, baked foods), their demand is adversely affected as well as customers' purchasing decisions. The more realistic assumption is a price-sensitive demand. As well as deterioration rates, perishable products have an expiration date-dependent deterioration rate. Further, inventory holding, and the deterioration of perishables contribute significantly to carbon emissions when operating the inventory system. A carbon tax policy is more flexible and effective when it comes to reducing carbon emissions due to its environmental conscious nature. We develop two sustainable inventory procedures for perishable items based on a practical scenario in which the buyer has a limited storeroom. So, to achieve sustainability goals, a model for inventory management for perishable products based on expiration dates is presented in this paper. We distinguish between two inventory schemes: (i) one that allows shortages and fractional backlogs, and (ii) one that does not allow shortage. In both schemes, both the decay rate and demand function show an upward trend against storage time. Since the decay rate increases with storage time, it is assumed that the cost of storing items is linearly related to storage time. numerical examples along with a real-life case study are presented to validate the inventory schemes after several decision-making findings have been derived.

In this paper, a volume criterion based on a simple scalar quantity, the mean value of the strain energy (SED), has been used to assess the static strength of notched components made of Polymethylmethacrylate (PMMA). The local-strain-energy based approach has been applied to a well-documented set of experimental data recently reported in the literature. Data refer to blunt U-notched cylindrical specimens of commercial PMMA subjected to static loads and characterised by a large variability of notch tip radius (from 0.67 mm to 2.20 mm). Critical loads obtained experimentally have been compared with the theoretical ones, estimated by keeping constant the mean value of the strain energy in a well-defined small size volume. In addition, some new tests dealing with V-notched specimens with end holes have been carried out to investigate the effect of the notch opening angle.

Small organizations that maintain their own fleet and make their own deliveries are responsible for ensuring their drivers are utilizing the most efficient routes while delivering products to their customers. Furthermore, efficient delivery requires that drivers spend as little time as possible dropping off and picking up products, since these activities are referred to as “non-value added activities,” although they are necessary tasks in the order cycle process. To aid in reducing order cycle times, large organizations that can afford it have employed transportation management systems. Unfortunately, small organizations with limited resources are less likely to adopt transportation management systems, despite the need for such automation. One solution is to use available productivity software to track and manage driver route activity in an effort to improve and maintain driver productivity by reducing non-value time and identifying optimal routes. This paper will outline how office productivity software such as Microsoft® Access can meet the needs of small organizations with limited resources by describing the development and use of a route activity database that employs an easy-to-use multi-user interface. This paper also includes the details of the underlying infrastructure and the user interface.

The main purpose of this paper is to know about the recent status of big data analytics (BDA) on various manufacturing and reverse supply chain levels (RSCL) in Indian industries. In particular, it emphasizes on understanding of BDA concept in Indian industries and proposes a structure to examine industries’ development in executing BDA extends in reverse supply chain management (RSCM). A survey was conducted through questionnaires on RSCM levels of 500 industries. Of the 500 surveys that were mailed, 125 completed surveys were returned, corresponding to a re-sponse rate of 25 percent, which was slightly greater than previous studies. The information of Indian industries with respect to BDA, the hurdles with boundaries to BDA-venture reception, and the connection with reverse supply chain levels and BDA learning were recognized. A structure was presented for the selection of BDA ventures in RSCM. This paper gives bits of knowledge to professionals to create activities including big data and RSCM, and presents utilitarian and predict-able direction through the BDA-RSCM triangle structure as an extra device in the execution of BDA ventures in the RSCM factors. This paper does not provide outside legitimacy owing to limitations for the speculation of the outcomes even in the Indian surroundings, which originates from the present test. Future research ought to enhance the understanding in this area and spotlight on the effect of big data on reverse supply chains in developed countries.

Ferrocene and their derivatives are well-known redox active materials and were extensively used by construction of modified electrodes for the design of electrochemical sensors and biosensors. Substituent derivatization of ferrocene offers the prospect of controlling ferrocene moiety properties such as solubility, stability, reversibility of oxidation wave (important for their role as an electron transfer mediator) and oxidation potential, which is critical in the electrochemical determination of biological compounds. A new series of rigid alkynylferrocene including of 2-ferrocenylethynyl fluoren (3a), 2-ferrocenylethynyl fluoren-9-one (3b), 4-ferrocenylethynyl aniline (3c) and 3-ferrocenylethynyl-1-trifluoromethyl benzene (3d) have been prepared in good yields by Sonogashira coupling reaction. All products were characterized by 1H and 13C NMR, FT-IR, and elemental analysis. The redox chemistry of these compounds has been investigated by cyclic voltammetry. The half-wave potential of the terminal ferrocenyl moieties increases progressively in the order of 3c & LT; 3a & LT; 3b & LT; 3d, which is consistent with the electron density on the ferrocenyl unit.