HOME JOURNALS CONTACT

Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 18 | Page No.: 3730-3735
DOI: 10.3923/jas.2013.3730.3735
Study on the Delivery Area Optimization and Management
Jing Sun and Shaohua Dong

Abstract: This study aims to introduce a method for better configuration of delivery area so as to increase the delivery efficiency at lower cost. Key delivery performance indicators are introduced. Objectives and expected outputs of Delivery Area Optimization and Management (DAOM) are analysed. Then the paper goes in detail to the four main steps of DAOM. Successful implementation of this process and usage of effective tools for ongoing management would bring benefits to corporate with respect to service quality and competitiveness.

Fulltext PDF

How to cite this article
Jing Sun and Shaohua Dong, 2013. Study on the Delivery Area Optimization and Management. Journal of Applied Sciences, 13: 3730-3735.

Keywords: Delivery, delivery area, optimization, efficiency and design

REFERENCES

  • Ackermann, J. and E. Muller, 2007. Modelling, planning and designing of logistics structures of regional competence-cell-based networks with structure types. Robotics Comput. Integrated Manuf., 23: 601-607.
    CrossRef    Direct Link    


  • Antun, J., M. Mallorquin, I. Toledo and S. Briceno, 1998. Logistics operators for physical distribution of goods in Mexico City: A strategy for mitigating emissions. Int. J. Vehicle Design, 20: 341-350.
    CrossRef    Direct Link    


  • Chopra, S., 2003. Designing the distribution network in a supply chain. Transport. Res. Part E, 39: 123-140.


  • Fisher, O., 2002. The planning of regional logistics. J. Melbourne Univ., 4: 102-122.


  • Son, J.H. and M.H. Kim, 2001. Improving the performance of time-constrained workflow processing. J. Syst. Software, 58: 211-219.
    CrossRef    Direct Link    


  • Han, Q.L., 2006. Multi-target optimization model of logistics establishment programming. Control Decis., 21: 957-960.
    Direct Link    


  • Hwang, H.S., 2002. Design of supply-chain logistics system considering service level. Comput. Ind. Engine., 43: 283-297.
    CrossRef    Direct Link    


  • Qing, T., M. Lixin and Z. Li, 2004. Logistics network design based on transport planning and combined GA. J. Tsinghua Univ., 44: 1441-1444.


  • Rutner, S.M., B.J. Gibson and S.R.Williams, 2003. The impacts of the integrated logistics systems on electronic commerce and enterprise resource planning systems. Transport. Res. Part E: Logist. Transp. Rev., 39: 83-93.
    CrossRef    Direct Link    


  • Taniguchi, E. and R.G. Thompson, 2002. Modeling city logistics. Trans. Res. Record: J. Trans. Res. Board, 1790: 45-51.
    CrossRef    


  • Taniguchi, E., M. Noritake, T. Yamada and T. Izumitani, 1999. Optimal size and location planning of public logistics terminals. Trans. Res. Part E: Logist. Trans.Rev., 35: 207-222.
    CrossRef    

  • © Science Alert. All Rights Reserved