Volume 6, Issue 3, March 2015

Analytic Hierarchy Process in Third-Party Logistics Provider Selection Criteria Evaluation: A Case Study in IT Distributor Company

Birgul KUCUK CIRPIN and Nihan KABADAYI

Istanbul University School of Business Department of Production and Operations Management, Turkey

Abstract– Selecting a good third party logistics (3PL) service provider is one of the key success factors in a supply chain management. Logistics service provider firms produce a critical service in the chain that helps to meet customer’s requests in terms of quantity, quality and on time delivery. The conventional supplier evaluation criteria such as quality, price and delivery are not enough in today’s competitive environment. Recent studies have shown that operational performance, service quality, technology and sustainability are some of the important criteria that determine the performance of the supplier. In this study, we consider the 3pl service provider selection process of an IT distributor firm in Turkey. The different selection criteria which are used by the corresponding firm have been observed and the various sub-criteria have been grouped under five main criteria such as cost, operational performance, service quality, technology, sustainability. Analytical hierarchy process (AHP) is proposed to evaluate the importance value of the criteria in the selection process of 3pl service providers for an IT distributor firm.

Keywords— Analytic Hierarchy Process, Criteria Evaluation, Third Party Logistics and IT Distributor Firm

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How is my Event Rated? Rating an Event Using Social Media Data

Suman Silwal and Dale W. Callahan

The University of Alabama at Birmingham (UAB), USA

Abstract– In recent years, events are continuously discussed on Social Media in the form of status updates, posts, discussions and comments by its participants, volunteers, and supporters. Social media content generated before, during, and after an event could add valuable insight into success and popularity of an event. It can also generate ideas for future improvement of the event. With the fast evolving nature of Social Media, current events’ Social Media content is ignored, forgotten, and overlooked for new sets of future posts, discussions, and comments. In our research, we believe that any publically available Social Media data can be captured and analyzed to produce some meaningful information. In this research, we are building a rating system through a combination of multiple sentiment analysis models using SM data.

Keywords— Social Media (SM), Social Networking Site (SNS), Rating System, Sentiment Analysis, Marathon, Twitter, Hashtag (#), Marathon Rating and Event Rating

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WG11 Android Based Surveillance Robot Control System Using Socket Programming with Implementation

Muhammad Gulfam and Mirza Waleed Iftikhar Baig

Department of Computer Science and Engineering, University of Engineering & Technology, Lahore, (RCET, Gujranwala campus) Pakistan

Abstract– This paper presents the mechanism of controlling a surveillance robot using android mobile devices through socket programming. User gives commands to the robot from his android device. The android mobile communicates with robot via local Wi-Fi network. The key for sending commands to the robot is the IP addressing. Overall system consists of a local Wi-Fi network, two android mobile devices and a robot. One of the two android devices is permanently associated with robot.

Keywords— WG11, Android, Robot and Wi-Fi Network

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Optimization of Process Conditions for Alcoholic Wine Production from Pineapple Using RSM

Umeh, J.I., EJIKEME, P.C.N and EGBUNA, SAMUEL. O.

Department of Mechanical Engineering, University of Nigeria, NSUKKa, Nigeria
Department of Chemical Engineering, Enugu State, University of Science and Technology, Enugu, Nigeria

Abstract– Process factors for the production of alcoholic wine from pineapple fruits were successfully optimized using central composite design with the aim of minimizing the final sugar concentration of the wine. The design involved four numeric factors; initial sugar concentration, pH, fermentation time and yeast concentration. All the factors were considered significant by ANOVA except pH. Quadratic model was developed and validated to explain the fermentation process. Numerical optimization of the process factors was achieved with the target of minimizing the final sugar concentration. The optimum conditions obtained were; yeast concentration of 7.46g/l, pH of 5.43, initial sugar concentration of 23%brix and fermentation time of 11days with predicted final sugar concentrations of 7.778% brix at 9.8 desirability.

Keywords— ANOVA, Central Composite Design, Fermentation, Optimization and Pineapple

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