Multi-period Customer Service Level Maximization under Limited Production Capacity

  • Sladjan Babarogić University of Belgrade, Faculty of Organizational Sciences
  • Dragana Makajić-Nikolić
  • Danica Lečić-Cvetković
  • Nikola Atanasov


This paper will focus on a make-to-stock multi-period order fulfilment system with random orders from different classes of customers under limited production circumstances.For this purpose a heuristic algorithm has been developed aimed at maximizing the customer service level in any cycle and in the entire multi-period. In this paper, in order to validate the results obtained with this algorithm, a mixed integer programming model was developed that is based on the same assumptions as the algorithm. The model takes into account the priorities of customer groups and the balanced customer service level within the same group. The presented approaches are applied to a real example of Fast Moving Consumer Goods. Their comparison was carried out in several scenarios. 

Author Biography

Sladjan Babarogić, University of Belgrade, Faculty of Organizational Sciences
Associate Editor in Chief of IJCCCRector of Agora University


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How to Cite
BABAROGIĆ, Sladjan et al. Multi-period Customer Service Level Maximization under Limited Production Capacity. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 7, n. 5, p. 798-806, dec. 2012. ISSN 1841-9844. Available at: <>. Date accessed: 04 july 2020. doi:


limited production capacity, customer service level, heuristic algorithm, mixed integer programming.