Value analysis of location-enabled radio-frequency identification information on delivery chain performance

International Journal of Production Economics

Volumn 112, Issue 1, 2008, Pages 403-415

  Kim, Jindae ^a   Tang, Kaizhi ^a   Kumara, Soundar ^a   Yee, Shang Tae ^b   Tew, Jeffrey ^b  

^a The Pennsylvania State University   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

Author keywords

Delivery supply chain; Load makeup; Location tracking; Logistics; Radio frequency identification (RFID); Real time information; Simulation

Indexed keywords

AUTOMOTIVE ENGINEERING; DECISION MAKING; IDENTIFICATION (CONTROL SYSTEMS); REAL TIME SYSTEMS; SUPPLY CHAINS; VEHICLE LOCATING SYSTEMS;

DELIVERY CHAINS; RADIO-FREQUENCY IDENTIFICATION (RFID); REAL-TIME INFORMATION;

INFORMATION RETRIEVAL;

EID: 38749145862     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2007.04.006     Document Type: Article

References (30)

1. Anderson, B.M., Gremban, K.D., Young, B.A., 1997. Shipyard operational improvement through process management. In: Annual Ship Production Symposium.
2. Anderson E.G., Fine C.H., and Deployer G.G. Upstream volatility in the supply chain. The machine tool industry as a case study. Production and Operations Management 9 (2000) 239-261
3. Banerjee S., Banerjee A., Burton J., and Bistline W. Controlled partial shipments in two-echelon supply chain networks: A simulation study. International Journal of Production Economics 71 (2001) 91-100
4. Beamon B.M., and Chen V.C.P. Performance analysis of conjoined supply chains. International Journal of Production Research 39 (2001) 3195-3218
5. Brandolese A., Brun A., and Portioli-Straudacher A. A multi-agent approach for the capacity allocation problem. International Journal of Production Economics 66 (2000) 269-285
6. Chen F. Market segmentation, advanced demand information, and supply chain. Manufacturing & Service Operations Management 3 (2001) 53-67
7. Chow, H.K.H., Choy, K.L., Lee, W.B., 2005. Design of a RFID-based resource management system for warehouse operation. In: Third IEEE International Conference on Industrial Informatics (INDIN), pp. 785-790.
8. Cormen T., Leiserson C., Rivest R., and Stein C. Introduction to Algorithms. 2nd ed (2001), MIT Press and McGraw-Hill, Cambridge
9. Datta A., and Viguier I.R. Handling sensor data in rapidly changing environments to support soft real-time requirements. INFORMS Journal on Computing 12 (2000) 84-103
10. De Souza R., Song Z.C., and Liu C.Y. Supply chain dynamics and optimization. Integrated Manufacturing Systems 11 (2000) 348-364
11. Duncan D.B. Multiple range and multiple F tests. Biometrics 11 (1955) 1-42
12. Gjerdrum J., Shah N., and Papageorgiou L.G. A combined optimization and agent-based approach to supply chain modeling and performance assessment. Production Planning and Control 12 (2001) 81-88
13. Glidden R., Bockorick C., Cooper S., Diorio C., Dressler D., Gutnik V., Hagen C., Hara D., Hass T., Humes T., Hyde J., Oliver R., Onen O., Pesavento A., Sundstrom K., and Thomas M. Design of ultra-low-cost UHF RFID tags for supply chain applications. IEEE Communications Magazine 42 (2004) 140-151
14. Harit, S., Taylor, G.D., Whicker, G., 1994. Hub and spoke networks in truckload trucking: Sensitivity analysis and extended testing. Research Report No. MBTC-FR-1022B, Mack-Blackwell Transportation Center, USA.
15. Hong-Minh S.M., Disney S.M., and Naim M.M. The dynamics of emergency transshipment supply chains. International Journal of Physical Distribution and Logistics Management 30 (2000) 788-815
16. Huang G.Q., Lau J.S.K., and Mak K.L. The impacts of sharing production information on supply chain dynamics: A review of the literature. International Journal of Production Research 41 (2003) 1483-1517
17. Karaesmen F., Buzacott J.A., and Dallery Y. Integrating advance order information in make-to-stock production systems. IIE Transactions 34 (2002) 649-662
18. Lau J.S.K., Huang G.Q., and Mak K.L. Web-based simulation portal for investigating impacts of sharing production information on supply chain dynamics from the perspective of inventory allocation. International Journal of Integrated Manufacturing Systems 13 (2002) 345-358
19. Lee H., and Whang S. Decentralized multi-echelon supply chains: Incentives and information. Management Science 45 (1999) 633-640
20. Lee H., Padmanabhan V., and Whang S. Information distortion in a supply chain: The bullwhip effect. Management Science 43 (1997) 546-558
21. Lee H.L., So K.C., and Tang C.S. The value of information sharing in a two-level supply chain. Management Science 46 (2000) 626-643
22. Ngai, E.W.T., Cheng, T.C.E., Au, S., Lai, K.-H., 2006. Mobile commerce integrated with RFID technology in a container depot. Decision Support Systems, in press (available online at 〈http://www.sciencedirect.com〉, accessed 17th May 2006).
23. Sbihli S. Developing a Successful Wireless Enterprise Strategy: A Manager's Guide (2002), Wiley, New York
24. Sterman J.D. Business Dynamics: System Thinking and Modeling for a Complex World (2000), McGraw-Hill, Boston
25. Strassner B., and Chang K. Passive 5.8-GHz radio-frequency identification tag for monitoring oil drill pipe. IEEE Transactions on Microwave Theory and Techniques 51 (2003) 356-363
26. Turner, T.E., 2004. Real Time Location Systems (available online at 〈http://www.aimglobal.org/technologies/rtls/〉, accessed 6th August 2004).
27. Wei J., and Krajewski L. A model for comparing supply chain schedule integration approaches. International Journal of Production Research 38 (2000) 2099-2123
28. Wilding R., and Delgado T. RFID-application within the supply chain. Supply Chain Practice 6 (2004) 30-43
29. Yee S.-T. Impact analysis of customized demand information sharing on supply chain performance. International Journal of Production Research 43 (2005) 3353-3373
30. Zhao X., Xie J., and Lau R.S.M. Improving the supply chain performance use of forecasting models versus early order commitments. International Journal of Production Research 39 (2001) 3923-3939