Soft Computing

, Volume 22, Issue 21, pp 7073–7086 | Cite as

A N–N optimization model for logistic resources allocation with multiple logistic tasks under demand uncertainty

  • Xiaofeng XuEmail author
  • Jing Liu
  • Jue Wang


It is challenging to make an optimal allocation scheme for multiple paralleling logistics tasks match suitable resources in collaborative logistics network (CLN) due to the uncertainty. In this paper, we propose a multi-objective optimization mathematical model to solve the N–N task-resource assignment (TRA) problem in CLN under demand uncertainty. Chance constraint in the model is used to indicate demand uncertainty, and resource leveling is considered in the execution of multiple paralleling logistics tasks scheduling. A hybrid heuristic algorithm based on genetic algorithm and tabu search is presented to solve the N–N TRA model. The experimental results demonstrate that the proposed model can promisingly describe the TRA problem, and the hybrid heuristic algorithm can achieve superior result about the size of uncertainty degree on allocation scheme.


Task-resource assignment Demand uncertainty Task scheduling Resource leveling 



This work was supported by National Natural Science Foundation of China (Grant No. 71771208), the Fundamental Research Funds for the Central Universities, China (Grant No. 17CX04023B), and partly supported by the Welsh Government and Higher Education Funding Council for Wales through the Sêr Cymru National Research Network for Low Carbon, Energy and Environment (NRN-LCEE).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Economics and ManagementChina University of PetroleumQingdaoChina
  2. 2.School of Economics and ManagementUniversity of Chinese Academy of SciencesBeijingChina

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