Planning and scheduling of the make-and-pack dairy production under lifetime uncertainty

Çağrı Sel*, Bilge Bilgen, Jacqueline Bloemhof-Ruwaard

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

In the dairy processing, the rapid quality decay of milk-based intermediate mixture to make and pack restricts productivity and, forces organizations to carefully plan and schedule their production. Hereby, in this study, we consider a planning and scheduling problem encountered in the dairy industry and propose a chance-constrained programming model accounting for uncertainty in quality decay of intermediate mixture. The aim of the model is to find the optimal lot sizes and production schedule with minimum makespan (total time needed to finish the daily production). The proposed schedule allows the storage duration of intermediate mixture to be within a stochastic lifetime. A case study is presented to illustrate the typical structure of the two-stage semi-continuous make-and-pack production process. The numerical study reflects real settings from a set (Balkan type) yoghurt production process. Accordingly, a simulation of the production process is introduced to evaluate the proposed production plan and schedule in terms of product waste. The model is examined with 32 scenarios consisting of different distribution parameters, confidence levels and demand patterns. Overall in the scenarios, the proposed plan and schedule result in decreasing 2693 l of product waste with 3.24 h increase of makespan in total.

Original languageEnglish
Pages (from-to)129-144
Number of pages16
JournalApplied mathematical modelling
Volume51
DOIs
Publication statusPublished - 2017

Keywords

  • Chance constrained programming
  • Make-and-pack production
  • Perishability
  • Planning and scheduling
  • Waste

Fingerprint Dive into the research topics of 'Planning and scheduling of the make-and-pack dairy production under lifetime uncertainty'. Together they form a unique fingerprint.

Cite this