Study on the Delivery Area Optimization and Management
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.
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.
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