• DocumentCode
    2963049
  • Title

    Logistics scheduling with due date assignment and batch delivery

  • Author

    Song Jing

  • Author_Institution
    Dept. of Finance & Econ., Coll. of Xinyang Agric. & Forest, Xinyang, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    502
  • Lastpage
    506
  • Abstract
    This paper aims to study the logistics scheduling with due date assignment and batch delivery. A set of orders needs to be processed by the manufacturer and delivered to the customers upon completion. Each customer has a specific acceptable lead time. The manufacturer assigns a due date for one order by negotiating with the customers. The problem is to assign appropriate due date for the orders, and find a joint schedule of order processing at the manufacturer and order delivery from the manufacturer to the customers that minimize the total cost. The objective is to minimize the total tardiness penalty, due date assignment and delivery costs. For this problem, we analyze the complexity of the general case and study the solvability of multiple case by providing efficient algorithms.
  • Keywords
    cost reduction; logistics; order processing; scheduling; batch delivery; delivery costs; due date assignment; logistics scheduling; order delivery; order processing; total cost minimisation; total tardiness penalty; Heuristic algorithms; Job shop scheduling; Optimal scheduling; Polynomials; Schedules; Single machine scheduling; algorithms; batch delivery; due date; logistics scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2013 International Conference on
  • Conference_Location
    Harbin
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4799-0473-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2013.6586328
  • Filename
    6586328