4.7 Article

Tackling perishability in multi-level process industries

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 57, Issue 17, Pages 5604-5623

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2018.1554916

Keywords

Multi-level production process; perishability; production modelling; lot-sizing and scheduling; mixed-integer linear programming

Funding

  1. Fundamental Funds for Humanities and Social Sciences of Beijing Jiaotong University [2017jbwy004/2015RC094]
  2. National Natural Science Foundation of China [71801013/71661167009/71602106/7161101015]
  3. Beijing Social Science Foundation [18GLC078]
  4. project TEC4Growth - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact - North Portugal Regional Operational Program (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement [NORTE-01-0145-FEDER-000020]
  5. European Regional Development Fund (ERDF)

Ask authors/readers for more resources

The classical multi-level lot-sizing and scheduling problem formulations for process industries rarely address perishability issues, such as limited shelf lives of intermediate products. In some industries, ignoring this specificity may result in severe losses. In this paper, we start by extending a classical multi-level lot-sizing and scheduling problem formulation (MLGLSP) to incorporate perishability issues. We further demonstrate that with the objective of minimising the total costs (purchasing, inventory and setup), the production plans generated by classical models are often infeasible under a setting with perishable products. The model distinguishes different perishability characteristics of raw materials, intermediates and end products according to various industries. Finally, we provide quantitative insights on the importance of considering perishability for different production settings when solving integrated production planning and scheduling problems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available