International Journal of Computational Systems Engineering
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International Journal of Computational Systems Engineering (5 papers in press)
Some Investigations on cost study for Economic Order Quantity model (EOQ) by quantity declined under time - associated demand and non-steady holding cost by R.P. Tripathi Abstract: This investigation is probable to assist the manufacturing executives and practitioners in assessing the pressure of changeable holding cost mechanism. In reality holding cost is always in fluctuating stage. In this investigation,we make an effort is ready to set an EOQ models for time sensitive demand by means of unstable holding costs. Two models is argued viz (i) time linked demand with cargo space time linked holding cost and (ii) time linked demand and unvarying holding cost. Purchase cost is unspecified stable connected to order amount. Every element measure discounts are accessible. Mathematical analysis is prepared to authenticate the model proposed in this research. An algorithm is also displayed to settle on most favorable procurement measure that diminishes total cost.We show that total cost is convex. Numerical designs and Sensitivity study are discussed to learn effects of a variety of constraints.Mathematica software 7.0 is used for finding numerical results. Keywords: Time-induced demand; variable holding cost; size discount; optimality; EOQ.
Cost-effective modernization of COBOL legacy applications by Christophe Gaie, Franck Barbier Abstract: This paper deals with the problem of reducing technical debt and modernizing legacy applications, particularly COBOL heritage on mainframe computers (a.k.a. mainframes). The proposed approach aims at offering a solution, which is efficient through a strong relation with a cost-effective method about transformation. rnrnIndeed, literature shows both technical and scientific solutions whose economic facet is often totally ignored, letting us understand that re-doing all from scratch might be cheaper, but proofs about this are urgently expected, an often missing link. Indeed, it is essential to remind that the cost of transformation is a critical concern, especially when the to-be-transformed applications rely on millions of lines of, very often, odd COBOL. Keywords: legacy software; software heritage; cost-effective modernization; COBOL; reengineering; code migration.
RELIABILITY ANALYSIS OF (N) CLIENTS SYSTEM UNDER STAR TOPOLOGY AND COPULA LINGUISTIC APPROACH by Vijayvir Singh, Monika Gahlot Abstract: This paper contrasts with the study of a computer laboratory system with n clients under Star Topology and k-out-of-n: G scheme. The system has two servers one is operational and another a redundant server. The main server connects the clients, and failure of the main server acknowledge as a partial failure. The system also has another needed device such as switch and router, and failure in switch and router brings the system in the entire failed situation. The main server bears a partial failure, and the redundant server before the repair of the main server brings the system in a completely failed state. The failure rates of transmuting one state to another state are constant and presume to follow an exponential time distribution. The repairs follow two types of distributions the system analyzed by employing the supplementary variable and the Laplace transform. The various traditional measures of system performance through reliability context have computed for different types of' failures and repair. Some computations reliability parameters corresponding to assumed values of parameters has illustrated as examples. Keywords: Availability; MTSF; Switch failure; Server failure; Router failure; Gumbel- Hougaard family copula distribution.
Interval Valued Fuzzy Matrix Based Decision Making For Machine Learning Algorithms by Priya Bhatnagar, Kriti Ohri, Deepak Sukheja Abstract: Decision making is very important in terms of machine learning or imparting artificial intelligence into machines that work upon the traditional logic theory. It is a process that helps a machine to think like a human being and for a human being to ease his/her difficult decision-making process. Real world problems related to decision making contain uncertainty in data which cannot be very precise as per our choice. As it is seen that the Interval valued fuzzy logic deals greatly with such imprecise data and gives the best outcome.
This paper presents a multi criteria decision making approach using interval valued fuzzy logic through a new operator and a new algorithm which is based on various parameters of satisfaction of a buyer who wish to buy a certain item provides a great choice of satisfaction with a certain result. Decision making is very important in terms of machine learning or imparting artificial intelligence into machines which work upon the traditional logic theory. It is a process which helps a machine to think like a human being and for a human being to ease his/her difficult decision-making process. Finally, With the help of a case study based on a significant survey the proposed method is described.
Keywords: Interval valued fuzzy matrix;Decision making;Algebra.
The new TOPCO hybrid algorithm to solve multi-objective optimization problems: The integrated stochastic problem of production-distribution planning in the supply chain by Elham Shadkam, Shahrzad Khajooei, Reza Rajabi Abstract: This paper presents a new hybrid algorithm to solve multi-objective optimization problems called TOPCO which has been implemented on the integrated stochastic problem of production-distribution planning in the supply chain. The proposed TOPCO hybrid algorithm is a combination of the TOPSIS algorithm and the cuckoo optimization algorithm and is therefore named TOPCO. The cuckoo optimization algorithm is unable to solve multi-objective problems that can be easily used for multi-objective problems using the proposed hybrid approach.
The multi-objective problem under study includes an integrated model of production and distribution planning with many stochastic parameters. The speed and accuracy of the results obtained from the implementation of the proposed TOPCO algorithm on the supply chain problem show the efficiency of the algorithm in solving multi-objective problems and this algorithm can well identify the pareto frontier of the problem. Also, due to the use of the Cuckoo Optimization Algorithm, the proposed TOPCO algorithm can be used in large-scale problems.
Keywords: Cuckoo Optimization Algorithm; TOPSIS; Multi-Objective Problem; Supply Chain Problem; TOPCO Hybrid Algorithm.