Coordinated production and delivery for an exporter

Renato E. De Matta, Vernon N. Hsu*, Chung-Lun Li

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

This article considers an exporter who produces multiple products at geographically separated production plants to meet a stream of deterministic overseas demands over a planning horizon. Each production plant uses either a direct delivery mode, which sends pre-loaded cargos of a product directly from its production facility to the ocean port, or a consolidated delivery mode where products are consolidated into outbound ocean cargos at the facility of a third-party logistics firm and delivered to the ocean port. The exporter's problem is to develop a minimum-cost production and delivery plan for the entire supply chain over a finite planning horizon. The problem is modeled as a mixed-integer program and it is shown to be NP-hard even for the case with one production plant. Two distinct but related decisions characterize the problem, namely, the product delivery mode selection decision and the production scheduling decision. The natural separation of these decisions is exploited in a Benders decomposition solution procedure. An important finding of this study is that the exporter can extract the most value from integrating consolidated deliveries in the production and distribution plan when plants have modest production costs and demand variability is high. © 2015 "IIE".
Original languageEnglish
Pages (from-to)373-391
JournalIIE Transactions (Institute of Industrial Engineers)
Volume47
Issue number4
DOIs
Publication statusPublished - 3 Apr 2015
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The second author was supported in part by the Research Grants Council of the Hong Kong Special Administrative Region, China under project CUHK446111. The third author was supported in part by The Hong Kong Polytechnic University under grant 1-BBZL and G-YJ79.

Research Keywords

  • Integer programming
  • Production and inventory control
  • Production planning and scheduling
  • Transportation scheduling

RGC Funding Information

  • RGC-funded

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