A Two-Warehouse Model for Deteriorating Items with Holding Cost under Inflation and Soft Computing Techniques

A deterministic inventory model has been developed for deteriorating items and Particle Swarm Optimization (PSO), Genetic Algorithms (GA) and Fuzzy having a ramp type demands with the effects of inflation with two-warehouse facilities. The owned warehouse (OW) has a fixed capacity of W units; the rented warehouse (RW) has unlimited capacity. Here, we assumed that the inventory holding cost in RW is higher than those in OW. Shortages in inventory are allowed and partially backlogged and Particle Swarm Optimization (PSO), Genetic Algorithms (GA) and Fuzzy it is assumed that the inventory deteriorates over time at a variable deterioration rate. The effect of inflation has also been considered for various costs associated with the inventory system and Particle Swarm Optimization (PSO), Genetic Algorithms (GA) and Fuzzy. Numerical example is also used to study the behaviour of the model. Cost minimization technique is used to get the expressions for total cost and other parameters

A two-storage model for deteriorating items with holding cost under inflation and Genetic Algorithms

A deterministic inventory model has been developed for deteriorating items and Genetic Algorithms (GA) having a ramp type demands with the effects of inflation with two-storage facilities. The owned warehouse (OW) has a fixed capacity of W units; the rented warehouse (RW) has unlimited capacity. Here, we assumed that the inventory holding cost in RW is higher than those in OW. Shortages in inventory are allowed and partially backlogged and Genetic Algorithms (GA) it is assumed that the inventory deteriorates over time at a variable deterioration rate. The effect of inflation has also been considered for various costs associated with the inventory system and Genetic Algorithms (GA). Numerical example is also used to study the behaviour of the model. Cost minimization technique is used to get the expressions for total cost and other parameters

A Two-Warehouse Model for Deteriorating Items with Holding Cost under Particle Swarm Optimization

A deterministic inventory model has been developed for deteriorating items and Particle Swarm Optimization (PSO) having a ramp type demands with the effects of inflation with two-warehouse facilities. The owned warehouse (OW) has a fixed capacity of W units; the rented warehouse (RW) has unlimited capacity. Here, we assumed that the inventory holding cost in RW is higher than those in OW. Shortages in inventory are allowed and partially backlogged and Particle Swarm Optimization (PSO) it is assumed that the inventory deteriorates over time at a variable deterioration rate. The effect of inflation has also been considered for various costs associated with the inventory system and Particle Swarm Optimization (PSO). Numerical example is also used to study the behaviour of the model. Cost minimization technique is used to get the expressions for total cost and other parameters

A two-storage model for deteriorating items with holding cost under inflation and Genetic Algorithms

A deterministic inventory model has been developed for deteriorating items and Genetic Algorithms (GA) having a ramp type demands with the effects of inflation with two-storage facilities. The owned warehouse (OW) has a fixed capacity of W units; the rented warehouse (RW) has unlimited capacity. Here, we assumed that the inventory holding cost in RW is higher than those in OW. Shortages in inventory are allowed and partially backlogged and Genetic Algorithms (GA) it is assumed that the inventory deteriorates over time at a variable deterioration rate. The effect of inflation has also been considered for various costs associated with the inventory system and Genetic Algorithms (GA). Numerical example is also used to study the behaviour of the model. Cost minimization technique is used to get the expressions for total cost and other parameters

BPMN to BPEL: Implementing ATM System

BPMN provides a standard graphical notation for modelling business process. BPEL is a XML based language which generate executable code from BPMN diagram. Several BPEL engines are available which execute BPEL. In this paper , an example is provided to explain how BPMN diagram is generated and then with the help of BPEL executable code is generated

Image Inpainting with Improved Storage Capability using DCT

Nowadays, tremendous amount of digital media is generating but having grazes on it. In this paper we proposed new idea to remove the graze from image, called image inpainting where in, Exemplar based image inpainting follows discrete cosine transform . The exemplar based image inpainting is based on copy-and-paste texture synthesis for reconstructing damaged parts of an image. Based on exemplar-matching techniques performance and speed of algorithm increases but size of image is also increases so, we proposed discrete cosine transform for reducing the size of image, removing noise and ultimately provides it good quality of image

Developing and Promoting a Nuclear Security Curriculum at Amity University, India: Beginnings, Successes and Challenges

Amity University is one of India’s leading research- and innovation-driven private universities. The Amity Institute of Nuclear Science and Technology (AINST), established in 2009, contribute to Amity’s mission to promote national development through philanthropy, education and research. Very recently, courses related to nuclear security and security culture have been added to the existing AINST curriculum. The purpose of introducing this course was to enhance the understanding of technical, policy, and regulatory challenges associated with nuclear security and to create a nuclear security culture among relevant local institutions. This paper describes the process involved in establishing nuclear security as an elective course in the Engineering and Technology Domain for undergraduate-level and postgraduate-level engineering students at the Institute, discusses both challenges faced in these early stages as well as achievements and successes, and outlines future plans for the program

Bianchi Type-II String Cosmological Models in Normal Gauge for Lyra's Manifold with Constant Deceleration Parameter

The present study deals with a spatially homogeneous and anisotropic Bianchi-II cosmological models representing massive strings in normal gauge for Lyra's manifold by applying the variation law for generalized Hubble's parameter that yields a constant value of deceleration parameter. The variation law for Hubble's parameter generates two types of solutions for the average scale factor, one is of power-law type and other is of the exponential form. Using these two forms, Einstein's modified field equations are solved separately that correspond to expanding singular and non-singular models of the universe respectively. The energy-momentum tensor for such string as formulated by Letelier (1983) is used to construct massive string cosmological models for which we assume that the expansion ($\theta$) in the model is proportional to the component $\sigma^{1}_{~1}$ of the shear tensor $\sigma^{j}_{i}$. This condition leads to $A = (BC)^{m}$, where A, B and C are the metric coefficients and m is proportionality constant. Our models are in accelerating phase which is consistent to the recent observations. It has been found that the displacement vector $\beta$ behaves like cosmological term $\Lambda$ in the normal gauge treatment and the solutions are consistent with recent observations of SNe Ia. It has been found that massive strings dominate in the decelerating universe whereas strings dominate in the accelerating universe. Some physical and geometric behaviour of these models are also discussed.Comment: 24 pages, 10 figure

Herbal Technology: An Emerging Approach for Treatment of Colon Cancer

Conventionally used drug for a treatment of life-threatening disease like cancer gives lighter therapeutic response along with high rate of adverse effects on normal cells, leading to insufficient activity over the tumor cells. These side effects of drug agents over normal cell causes restriction to increase the dose for proper targeting over the tumor cells. The less quantity drug for tumor cell develops resistance over it which causes lacking of response for prevention and treatment of cancer. So herbal agent could be better beneficial for targeting on tumor cell with lighter side effect. The various herbal agents will be discussed as per review that can be beneficial for treatment of colon cancer. A Comprehensive review. Objective: To describe various safer herbal drugs and herbal technology with reduced adverse effects which can be implemented for treatment of cancer. Method: Data for review were collected from, PubMed, Science Direct, Medline using the following key-words: ‘cancer’, ‘introduction’, ‘drug resistance’, ‘challenges in treatment of cancer’, ‘overview of colon cancer’, ‘novel herbal drugs of treatment of cancer’, and ‘recent advances in herbal technology for colon cancer’