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The depletion of natural resource, the generation of enormous quantities of waste, and the subsequent disposal of that waste are driving modem society to adopt more environmentally friendly construction methods now than ever before. It has been utilised in construction for decades because of its ability to prevent structural concrete cracks while also enhancing the flexibility of concrete. Environmental and resource-saving concerns have prompted extensive research into developing more sustainable, resource-saving, and recycled alternatives to industrial steel fibres. The goal is to replace commercially available, expensive steel fibres with recycled steel fibres. There are significant differences between recycled steel fibre reinforced cement mixtures and conventional steel fibre reinforced cement mixtures in both the fresh and hardened phases. For anyone interested in learning more about recycled steel fibres and how they might be used in a variety of cement-based composites, this website provides a brief explanation. The effect of RSFs on fresh-state property of concretes, such as porosity, workability, volumetric stability, and bulk density, has been a source of debate. Compressive strength, hardness, tensile strength, durability, and impact resistances are only a few of the mechanical qualities evaluated on this page. Some mechanical characteristics include Research gaps in the field of recycled steels fibre reinforced cementitious system in different application will be identified through this study, which aims to undertake a comprehensive examination of the available literature. [ABSTRACT FROM AUTHOR]

Present study examines review of a wide range of water quality researches conducted at diverse places, with its seasonal fluctuations. Assessment of ground water quality is an important issue for population growth, agriculture and urban development. When surface water is scarcely available, an alternative would be ground water as the recent population growth has amplified the stress on water demand. For analysis of ground water, the pollutants were studied by different authors under various parameters along with groundwater hydro-chemical data, such as electrical conductivity, pH, calcium, total hardness, potassium, magnesium, alkalinity, COD, BOD, bacterial test and TSS. The study data was collected based on seasonal variations by respective authors and checked for analysis for different treatment techniques. Finally, water quality studies by various authors were compared and conclusions were established on the acceptability of various water sources, as well as recommendations were made. [ABSTRACT FROM AUTHOR]

In this paper we start with a brief literature review on HM, FM and BM. Then we relate these among themselves to argue that FM = HM + BM. We map these advanced manufacturing technologies to the strategy of the organization. Later we give several interesting hypotheses and conjectures. Finally we draw a table that relates different types of flexibilities of HM, FM and BM. [ABSTRACT FROM AUTHOR]

This paper develops and analyzes a model for hospital location and capacity allocation. Thefocus is on an urban/developing area. The first model is the convectional model and the secondis an improved model with better constraints, previous work in the planning of hospitals and/orhealth centers in a region has been done with less constraints hence is easily implementableand has less administrative load but costs may be higher. This work focuses on developing andanalyzing a model for hospital location and capacity allocation while optimizing a number of objectives, e.g. minimizing cost of establishment and maximizing coverage of patients. The model 1 is easily implementable and has less administrative load hence costs may behigher, prescribed Model has more variables (hence more CPU time) and requires more administrative load for implementation but costs are probably lesser. Hence cost can be reducedconsiderably if we can trade with speed of solution. [ABSTRACT FROM AUTHOR]

Return and risk are two important attribute of any portfolio. On likes to max return by keeping at a given level or min risk by keeping return at a min level. Or one takes a composite of return and take negative of risk aversion factor multiplied by risk of a portfolio and max it subject to wealth constraint (this is the traditional mean-variance approach: see Subramanyam and Patel () and Shama and Pankaj ()). In this model the risk aversion factor remains the same whatever be the wealth available with the decision maker. It is well known that as wealth of an individual increases his risk proneness also increases. This aspect is considered in the model that is presented in this paper by assuming that as wealth band changes, then also changes the risk aversion factor. Now we give two models of such situation that considers the mean-variance approach to portfolio selection, and conduct numerical investigation to see which of the two models do better. [ABSTRACT FROM AUTHOR]

Fire outbreak, traffic accidents, rescue operations etc. are fairly common in a human settlement all over the globe. The government funded fire stations are responsible to control such situations at the earliest possible. The response time and road route must be minimized to ensure that the adversity is taken under control quickly. To set up such a fire station at an optimal location we also need to consider the budget involved and the value of the locality which it would serve. This paper presents three models i.e. establishment cost, optimal service level and hybrid model of locating a fire station in a city by extending the mixed linear programming formulation using binary genetic algorithm. The proposed models are tested for problem sizes of n = 30 and 60 using GAMS 23.5 and comparisons of optimum results are reported. Hybrid model performs best that help to decision-makers to enhance their decision capabilities. [ABSTRACT FROM AUTHOR]

Here we give standard 0-1 mixed integer linear program of CLSPSPIB. In this formulation we eliminate shortage variables and setup (0-1 integer) variables to pose the problem as 'all real' linear program in inventory and production variables. Based on its solution, we keep select variables as zeros or ones in the original CLSPSPIB. We get very good solutions in much reduced CPU time. Detailed computational experience is given. [ABSTRACT FROM AUTHOR]