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The Uncapacitatied Dynamic Single-Level Lot-Sizing Problem under a Time-Varying Environment and an Exact Solution Approach

Author

Listed:
  • Yiyong Xiao

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

  • Meng You

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

  • Xiaorong Zuo

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

  • Shenghan Zhou

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

  • Xing Pan

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

Abstract

The dynamic lot-sizing problem under a time-varying environment considers new features of the production system where factors such as production setup cost, unit inventory-holding cost, and unit price of manufacturing resources may vary in different periods over the whole planning horizon. Traditional lot-sizing theorems and algorithms are no longer fit for these situations as they had assumed constant environments. In our study, we investigated the dynamic lot-sizing problem with deteriorating production setup cost, a typical time-varying environment where the production setup is assumed to consume more preparing time and manufacturing resources as the production interval lasts longer. We proposed new lot-sizing models based on the traditional lot-sizing model considering the changing setup cost as a new constraint, called uncapacitatied dynamic single-level lot-sizing under a time-varying environment (UDSLLS-TVE for short). The UDSLLS-TVE problem has a more realistic significance and higher research value as it is closer to reality and has higher computational complexity as well. We proposed two mathematical programming models to describe UDSLLS_TVE with or without nonlinear components, respectively. Properties of the UDSLLS-TVE models were extensively analyzed and an exact algorithm based on forward dynamic programming (FDP) was proposed to solve this problem with a complexity of O ( n 2 ). Comparative experiments with the commercial MIP solver CPLEX on synthesized problem instances showed that the FDP algorithm is a global optimization algorithm and has a high computational efficiency.

Suggested Citation

  • Yiyong Xiao & Meng You & Xiaorong Zuo & Shenghan Zhou & Xing Pan, 2018. "The Uncapacitatied Dynamic Single-Level Lot-Sizing Problem under a Time-Varying Environment and an Exact Solution Approach," Sustainability, MDPI, vol. 10(11), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3867-:d:178012
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    References listed on IDEAS

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