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Most of the urban areas in India depend on Government water supply for their daily usage. The amount of water supply will be limited and provided in a short period of time by the Government. According to the climate and environmental changes the amount of water will be varied. Now many private companies have emerged in the field of water supply to sell water to gain huge profit. But still Government water supply is the main source for common people in urban areas of India. Most of the water connections are given to the individual home by plastic or steel pipes through underground or overground. It is very easy for a person to steal the water from the pipeline illegally. Others cannot identify the theft easily and they will be cheated. Consequently, water availability/supply for the homes in that area will be reduced. A system has been proposed in the paper to find and stop the water theft in an area using the sensors and IoT technology. This system can also identify the leakage of pipes anywhere in the line.

In the present day, focused commercial centers, offering exchange credit, have turned into a usually received strategy. Past inventory models under reasonable postponement in installments generally accepted that the request of the things was either consistent or simply relying on the retail cost. In this paper, we proposed to sum up, two distribution centers inventory model for crumbling things when the provider offers the retailer to defer period and thus the retailer gives to postpone period to their clients. The request design has been figured in a powerful example, which can be communicated in a straight or exponential shape. Shortages were not permitted. The differing criteria and lead time, smashing expenses were thought to be constant elements of unit cost and lead time, separately. From these, a basic iterative calculation to acquire the ideal renewal number and time booking was given. At last, numerical cases were introduced to show the model and investigation of different parameters was additionally performed. Likewise, the impact of changes in the diverse parameters in the ideal aggregate cost was graphically displayed and the suggestions were examined in details.

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