CONCLUSIONS REFERENCES Design of Automated Process in Supply Chain Application based on Supplier’s Ranked and Quota.

Volume 61 – No.15, January 2013 23 transactions that happened that day so, the supplier chosen by ranking the order quantity based quota owned suppliers. Tabel 11. Supplier’s Selection Product Name Supplier Consumen’s Quantity Supplier’s Quantity Nampan Sauce Melamin PT Selalu Maju 30 30 Piring Melamin PT Bali Sejahtera PT Makmur 40 20 20 Aqua Gelas PT Suka Maju 20 20 Coca cola PT Suka Maju 35 35 Then after the above process, the request was sent to the relevant suppliers and renewed record supplier’s order in the table. Fig. 13 Record of Order to Supplier Fig. 14 Request to PT Suka Maju

6. CONCLUSIONS

This supply chain application supplier ranking and quota as its approach in the selection of suppliers who will supply the products ordered by consumers. When consumers order one type of product, then the application will sort the supplier based on ranking and quota checking capabilities in a single supplier. Ranking of suppliers are entered manually by the application to be expected that the future of these applications can be combined with calculations made by the intelligent systems in terms of setting ranking. Supplier selection can automatically make the process of booking transactions from the consumer to the supplier more quickly done. The process is done to check whether the record table does not supply more quantity of quota owned suppliers. The system will automatically send a request to the supplier on the number of orders that have previously been treated by quotas and rank. And provide feedback if the supplier does not receive the order.

7. REFERENCES

[1] David Zhu. 2008. Agent Based Modeling for Supply Chain Management: Examining The Impact of Information Sharing [2] Gopal K. Kanji, Alfred Wong, “Business Excellence Model for Supply Chain Management ”, Total Quality Management. Vol. 10, No.8, 1999,pp. 1147 – 1168. [3] Luis H. Bibiano, Alberto Caldelas, Enric Mayol and Joan A. 2007. Comparative Analysis of CRM And SCM Systems Implementation Approaches. [4] Martin Verwijmeren, “Software Component Architecture in Supply Chain Management ”, Computers in Industry, Vol. 53, 2004,pp. 165-178. [5] Marquez, Adolfo Crespo. 2010. Dynamic Modelling for Supply Chain Management. Springer. [6] Michael N. Huhns, Larry M. Stephens, Nenad Ivezic. 2000. Automating Supply-Chain Management [7] Reza Farzipoor Saen. 2008. Using Data Envelopment Analysis for Ranking Suppliers in the Presence of Nondiscretionary Factors [8] Ritu Sindhu, Abdul Wahid, GN Purohit. 2009. Multi- Agent System Interaction in Integrated SCM [9] Scott, Colin, Henriette Lundgren, Paul Thompson. . 2011. Guide to Supply Chain Management. Springer [10] Sotiris Politis, Matthias Klumpp, Dilay Celebi, “Analytical Hierarchy Process in Supplier Evaluation”, Innsbruck Eigenverlag, Vol. 3, 2010, pp.411-424 [11] Tunggal, Amin Widjaja. 2011. Dasar-Dasar Integrated Supply Chain Management. Jakarta: Harvarindo. [12] Xu Hui, Zhang Jun. 2005. A Study on The Supply Chain Management and Integration of The Chinese Textile Industry in The Post-quota Era Volume 61 – No.15, January 2013 24 Design and Comparison of Advanced Color based Image CAPTCHAs Mandeep Kumar Assistant Professor, Dept of Computer Science S.R.P.A Adarsh Bhartiya College, Pathankot Renu Dhir, PhD. Associate Professor Dept of Computer Science NIT- Jalandhar ABSTRACT CAPTCHA is a technology which has its base in a test called the Turing Test. Alan Turing, proposed this test as a way to examine whether or not machines can think or appear to think like humans. The main purpose of a CAPTCHA is to block form submissions from spam bots- that is automated scripts. Various types of CAPTCHAs are used, which mostly requires users to enter the strings of characters that appear in distorted form on the screen. These types of distorted stings are unable to understand by bots but human can. The CAPTCHA types are either text based or image based. In this paper, a new color based CAPTCHA is described, which provides color based images to human and human will answer to interrogator with color name or so on the question asked during turing test. These colored images can have single color image, more than one color image or it can have images with objects like monitor, car, flower etc. For these types of questions, the computer machine will be unable to answer and it means unable to break CAPTCHA. This paper describes in detail the proposed CAPTCHA technology principle, method of implementation, variations and comparison of the accuracy rates. We conducted various experiments to measure the viability and usability of this CAPTCHA approach. An accuracy of 100, 95 and 90 is observed with single color, multi color and color image based CAPTCHAs respectively. General Terms Authentication, Security, Algorithms, Human Ease, Human Interaction Proof, Human Factor, Accuracy, Design. Keywords CAPTCHA, Image Processing, Spam, Automated Attacks, Character Recognition, Usability, Automated program.

1. INTRODUCTION