Abstract

This paper gives an overview of a discrete-event simulation study that was performed on pallet movement at Fresh Produce Terminals in the port of Durban, South Africa. The study formed part of an extended study of the logistics infrastructure of the South African fresh fruit industry and its export supply chain. The focus in this paper is on pallet movement in the terminal and its requirement on the storage capacity of the cold store facility. Specifics pertaining to input data analysis are provided, as well as a discussion of simulation model validation and output data analysis.

Highlights

  • A study on the South African fruit logistics infrastructure was conducted from March 2003 to April 2004

  • The first phase entailed the development of a Supply Chain Information and Communication Procedure (ICP), which contains a code of best practice for information sharing amongst the sub-sectors in the fruit export supply chain

  • The last phase entailed the forecasting of fruit production and export volumes and the analysis of various scenarios in order to determine whether investment in logistics infrastructure would be required in the foreseeable future

Read more

Summary

Introduction

A study on the South African fruit logistics infrastructure was conducted from March 2003 to April 2004. The last phase entailed the forecasting of fruit production and export volumes and the analysis of various scenarios in order to determine whether investment in logistics infrastructure would be required in the foreseeable future. In this paper a simulation study of fruit pallet movement at Fresh Produce Terminals (FPT) in the port of Durban, which formed part of Phase 3 of the logistics infrastructure study, is described. A simulation study is usually conducted according to a formal methodology [1], which includes identification of the scope and objectives of the study, input data analysis, model validation and output analysis.

Description of the fruit pallet movement process
Scope and objectives of the simulation study
Model assumptions
Input data analysis
Bulk arrivals
Time between arrivals of pallet loads
Model validation
Pallet arrival models
Annual duration of the pallet handling season
24 April 2003 3 November 2003 12 December 2003 233
Results
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.