---
res:
  bibo_abstract:
  - "Order picking has long been identified as the most labor costly and intensively
    activity in warehouse management. The orders from the customers need to be fulfilled
    tightly and timely. In order to keep the required high service level, the warehouse
    has to increase the picking productivity under the constraints of limited capacity.
    This paper concerns a man-togoods order picking system, in which the order pickers
    have to drive with a pallet jack to the storage locations. Considering that the
    orders are mostly small orders which consist of less lines, it is efficient to
    combine severalsingle customer orders into one picking order. Under this circumstance,
    this paper intends to answer the question of how customer orders should be grouped
    into picking orders with the aim of minimizing the total travel length through
    the warehouse. Consequently the productivity of the order picking system can be
    improved. An optimization problem for order batching is introduced. The optimization
    method of order batching is then proposed. Based on the simulation of different
    scenarios of incoming orders, it can be concluded that the developed method is
    effective in improving the productivity of the concerned order picking system.\r\n@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Li
      foaf_name: Li, Li
      foaf_surname: Li
      foaf_workInfoHomepage: http://www.librecat.org/personId=58482
  - foaf_Person:
      foaf_givenName: L.
      foaf_name: Schulze, L.
      foaf_surname: Schulze
  bibo_issue: '1'
  dct_date: 2015^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-941645-11-0
  dct_language: eng
  dct_subject:
  - Order picking
  - man-to-goods
  - order batching
  - picking productivity
  - genetic algorithm
  dct_title: Improving the Productivity of a Man-to-Goods Order Picking System through
    Optimization of Order Batching@
...