Optimization of Review Periods and (s, S) Levels of Floor Stock Items in a Paint Production Environment

Banu Y. Ekren, Gizem Mullaoglu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, a mixed integer linear programming model is proposed in order to optimize review periods and (s, S) inventory levels of floor stock items (FSIs) in a paint production facility to decrease the number pauses in the production process. In the model, power-of-two policy for periodic review scenario is considered. The optimum review periods are determined for multi-item types satisfying pre-defined cycle service level (CSL) under a capacity constraint. It is significant to determine the optimum review periods and safety stock levels of FSIs to be hold in the floor stock storage areas (FSSAs) so that the number of stops will be minimized in the production process. We model the problem as multi-item, single-echelon inventory system using periodic review (s, S) policy. In the facility, raw materials are hold in nine inside inventory locations which are supplied from the main warehouse whose capacity is infinite. The objective function is considered as minimization of total number of reviews completed in a year, i.e., the total number of transportations completed from the main warehouse. The results indicate that there is a positive correlation between the review periods and the difference between the S and s values.

Original languageEnglish
Title of host publicationProceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
Place of PublicationDetroit, Michigan, USA
PublisherIEOM Society International
Pages55-63
Publication statusPublished - 9 Aug 2020
Externally publishedYes
Event5th NA International Conference on Industrial Engineering and Operations Management - Detroit, United States
Duration: 9 Aug 202011 Aug 2020

Conference

Conference5th NA International Conference on Industrial Engineering and Operations Management
Country/TerritoryUnited States
CityDetroit
Period9/08/2011/08/20

Keywords

  • (s
  • Cycle service level
  • Optimization
  • Power-of-two policy
  • S) policy

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