Informatics Publishing Limited

K. Rajasekhar ¹, T. V. S. R. K. Prasad ²

Affiliations
1 Dept., of Mechanical Engg., Eswar College of Engineering, Kesanupalli, Narasaraopet, Guntur, Andhra Pradesh, IN
2 Dept., of Mechanical Engg., Eswar College of Engineering, Kesanupalli, , Guntur, Andhra Pradesh, IN

Abstract

Dynamic response analysis of a cracked rotor is attempted. The breathing of crack is accounted using the response dependent breathing crack model. Breathing behavior of the cracked rotor is analyzed and the effects of various parameters on the peak response variation and response of the cracked rotor is studied using time domain and frequency domain and plots. The influence of the presence of transverse cracks in a rotating shaft is analyzed. The crack has opening and closing on dynamic response during operation in the rotor. Initially a simple Jeffcott rotor is analyzed considering the lateral vibration. The dynamic response of the rotor with a breathing crack is evaluated by expanding the changing stiffness of the crack using FEM. and this approach is also based on the fact that the presence of a crack in rotating shaft reduces the stiffness of the structure. This method is applied to compute various parametric studies including the effects of the crack depth and location on the dynamic of a cracked rotor. By using MATLAB commands 'bode', the magnitude for given frequency range is obtained. Also, the Frequency response function is plotted by using command 'loglog'.

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T. V. S. R. K. Prasad ¹, Kolla Srinivas ², C. Srinivas ²

Affiliations
1 Dept of Automobile Engg., Eswar College of Engg, Kesanupalli, Narasaraopeta, Guntur District, Andhra Pradesh, IN
2 Dept of Mechanical Engg, R. V. R & J. C. College of Engg., Chowdavaram, Guntur District, Andhra Pradesh, IN

Abstract

Most companies nowadays are organized into networks of manufacturing and distribution sites that procure raw materials, process them into finished goods, and distribute the finished goods to customers. The goal is to deliver the right product to the right place at the right time for the right price. This production - distribution network is what we call "supply chains. After years of focusing on reduction in manufacturing and operating costs , companies are beginning to look into transportation costs to further reduce the costs. In the present paper an integrated view of the supply chain has been proposed. The proposed model takes into consideration the manufacturing, inventory and distribution costs involved in a supply chain consisting of multiple plants, multiple warehouses producing different products and supplying to different customers with different demands for the finished product. The proposed model is formulated to minimise the total cost of the supply chain.

Keywords

Supply Chain Management, Integrated SCM, Inventory.

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T. V. S. R. K. Prasad ¹, Kolla Srinivas ², C. Srinivas ²

Affiliations
1 Department of Mechanical Engineering, Kallam Haranadha Reddy Institute of Technology, Chowdavaram, Guntur, Andhra Pradesh, IN
2 Mechanical Engineering Department, R.V.R & J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, IN

Abstract

Inventory management is very important area in the supply chain management. Excess stocks may lead to incurring holding costs while shortage of stocks lead to shortage costs. The problem becomes more complicated when several factories produce multiple products in multiple time periods and supplies to several distribution centers who in turn supply to various agents and customers. With the advances in information technology and computing methods the inventory management problem in a multi echelon supply chain can be solved reasonably well. This paper presents an approach for the multi product inventory optimization in a multi echelon supply chain using Artificial Bee Colony Optimization method.

Keywords

Multi Product Inventory, Supply Chain, Artificial Bee Colony Optimization.

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D. Satyanarayana ¹, T. V. S. R. K. Prasad ¹

Affiliations
1 Mechanical Engg. Dept., Vignan's Engg. College, Vadlamudi, Guntur Dist., IN

Abstract

Today's production planning and control strategies have to deal with an increasingly dynamic environment, shorter production cycles, customized products, smaller batches and technological constraints are some of the factors that stretch the actual job scheduling strategies to the limit. Number of optimization techniques are available to solve these type problems. Combinatorial optimization problems are too difficult to be solved optimally, and hence heuristics are used to obtain "good" solutions in reasonable time. Many optimization problems from the industrial engineering world, in particular the manufacturing systems are very complex in nature and quite hard to solve by conventional optimization techniques. The specific goal of this paper is to do a comparative evaluation of Genetic Algorithm with conventional heuristic algorithms. The Genetic Algorithm (G.A.) is a potentially powerful tool for solving complex optimization problems. In this paper, the heuristic procedures considered are (1) Palmer's algorithm (2) Dannenbring's Rapid Access algorithm (3) C. D. S. (Campbell dudek and smith) algorithm. The results are compared and evaluated for the objective of minimizing the makespan.

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T. V. S. R. K. Prasad ¹

Affiliations
1 Dept. of Mechanical Engg., Vignan’s Engineering College, Vadlamudi, Via Tenali, Guntur, Andhra Pradesh, IN

Abstract

This study “Determination of optimal product-mix for a pump manufacturing industry" has been done for a small scale industry manufacturing hand pumps and centrifugal pumps in South India, in order to get the maximum profits with the available resources. The above company has been manufacturing eight models of hand pumps and centrifugal pumps. The unit profit of each model are different. These pumps contain several parts which have to be processed on various machines. The processing times of each part on each machine are studied. From this information, the processing time of each model of pump on each machine is obtained. The maximum available time of each machine is determined. The above information is used to formulate the linear programming model for maximizing the profits. The LPP is solved using the TORA software. The product mix for getting the maximum profits with the available resources is obtained. The maximum profit is found to be Rs. 128.55 Lakhs per annum.

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