RFID in highly perishable food supply chains – Remaining shelf life to supplant expiry date?

ABSTRTACT As we know that there is a huge crowd in the malls in metro cities. Specially it becomes more crowded on holidays. People purchase different items in the malls and puts them in the trolley. At the cash counter billing process is done using bar code scanner. This is very time consuming process. To avoid this we are developing a system which we called as ’Futuristic Billing Trolley Using RFID module and ZIGBEE module’. In this system we are using RFID tags instead of barcodes. This RFID tags will be on the product. Whenever the customer puts a product into trolley it will get scanned by bvgfc RFID reader and product price and cost will be display on LCD display. Like this the process goes on. We are using ZIGBEE transmitter which will be at trolley which is used to transfer data to main computer. At the main computer ZIGBEE receiver will be placed which will receive data from transmitter. To store the products price and total billing memory used will be Atmel AT24C04. LCD used will be 16X2 alphanumeric display . It will be used to display products names, products cost etc.

/pdf/futuristic-trolley-for-intelligent-billing-with-amalgamation-4hd0mlki5s.pdf

Futuristic Trolley for Intelligent Billing with amalgamation of RFID and ZIGBEE

Capacity management modelling is a broad field with a huge number of discussion areas and contributions. Though if applied towards service processes there are even smaller numbers of models and contributions as e.g. gap and yield management models for service production. Further on such model descriptions for logistics services and networks are more seldom. And finally most capacity models focus solely on the use of given resources and assets assuming a demand situation below capacity restrictions and aiming at optimal use of given assets by increasing capacity use towards an maximum of 100%. But very few models discuss situations of capacity demand being considerably higher than capacity supply, especially in logistics services and networks – though these situations are increasingly commonplace in international logistics networks as e.g. in global container line shipping. Therefore the authors of the following research contribution try to establish relevant modelling assumptions for the specific situation of logistics services capacities facing an unbearable demand and the choice of rejecting capacity requests by describing relevant practical business situations, evaluating several business cases with online action research methods and finally suggesting a game theory modelling of this specific capacity management situation. Risk and Capacity Management in Logistics Networks: The Example of Global Container Operators 6

https://www.econbiz.de/archiv1/2010/132655_risk_capacity_management.pdf

Risk and capacity management in logistics networks: the example of global container operators

/pdf/design-and-development-of-low-cost-smart-billing-system-uy7spkxt0c.pdf

Design and development of low cost smart billing system

Nowadays, the importance of sharing information is increasing at a dramatic pace, as everything is connected in some way or other. This is also the case with logistics and supply chain management. The idea of the Internet of Things is growing, and intends to include information about every single item around the world. Such a huge project is attractive to many companies wishing to get involved and, as a result, several projects are emerging with the desire to contribute in some way. The idea of this study was to analyze one of these projects aimed at facilitating work with RFID systems following EPCglobal standards. Fosstrak is open-source RFID prototyping platform which implements EPC Network specifications. It is composed of four different modules which are analyzed and compared with some other open-source software applications in order to ascertain the contributions and limitations that the tool could present for a RFID supply-chain management project.

Implementation of Fosstrak EPCIS RFID system

Edited byThorsten Blecker and George Q. HuangWith Contributions byEddy Bajic, Malcolm Bertoni, John S. Bishop, Jr., Melanie Blasl, Thorsten Blecker, Indranil Bose, Madlen Boslau, Charles M. Carson, Aldo Cea-Ramirez, Pavlina Chikova, Alvin Chung Man Leung, Dragos Dobre, Ergin Erdem, G. Scott Erickson, Michael Etgar, Emilio Ferrari, Lynn A. Fish, Dimitris Folinas, Wayne C. Forrest, Driss Hakimi, George Q. Huang, Brian D. Janz, Bernd Kaluza, Chris Keen, Eileen P. Kelly, Zsolt Kemeny, Eva-Maria Kern, Diego Klabjan, Uta Knebel, Ron Konecny, Helmut Krcmar, Pierre-Alexandre Leclerc, Jan Marco Leimeister, Britta Lietke, Peter Loos, Laszlo Monostori, Benoit Montreuil, Donald C. Mosley, Jr., Robert F. Otondo, Nikolas Patrikios, Kulwant S. Pawar, Mitzi G. Pitts, Yoseph Raanan, Johann Riedel, Angel Ruiz, Uwe Sandner, Sandipan Sen, Jing Shi, Bjorn Simon, Jollean K. Sinclaire, Jeffrey M. Stanton, Joseph G. Szmerekovsky, Kantipa Thamworrawong, Bettina Thurnher, Stefano Torroni, Ilias Vlachos, David L. Wells, Herwig Winkler, V. Zeimpekis, Hai Zeng, Jiang Zhang, Kathryn M. Zuckweiler, Elisabeth Zudor-Ilie

/pdf/rfid-in-operations-and-supply-chain-management-utn6hhfi8k.pdf

RFID in Operations and Supply Chain Management

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RFID in Operations and Supply Chain Management