An inventory-based simulation model for annual-to-daily temporal freight assignment

Miyuan Zhao, Joseph Ying Jun Chow, Stephen G. Ritchie

Research output: Contribution to journalArticle

Abstract

In the aggregate freight demand modeling literature, temporal assignment (annual to daily flows) is often oversimplified or neglected altogether. Unlike passenger flows, freight flows over the course of a year are not uniform and can vary significantly as the result of trade-offs between inventory and transportation cost management. We introduce the first temporal assignment model that explicitly considers these trade-offs for aggregate freight forecasting. A two-stage model is proposed that first decomposes aggregate annual zonal flows to firm group annual flows using a supply chain network model, which are then temporally assigned by simulating purchase order transactions throughout supply chains. Lot sizes are estimated with an Economic Order Quantity (EOQ) model and calibrated with monthly inventory data. The result is an aggregate-disaggregate-aggregate model that fits into aggregate freight forecasting models but makes use of more disaggregate logistical data. The model is illustrated with a simple replicable example, followed by a case study conducted with California statewide data to break out the distributed zonal flows into average daily volumes for network assignment. Calibration results using 2007 IMPLAN data showed a median percentage difference of simulated annual flows from FAF3 data of 2.38%, and a median percentage difference of simulated inventories from IMPLAN data of 4.85%, which suggests an excellent fit. Empirical validation results showed the model outperforms fixed factor approaches in mean value accuracy by 15-31%.

Original languageEnglish (US)
Pages (from-to)83-101
Number of pages19
JournalTransportation Research Part E: Logistics and Transportation Review
Volume79
DOIs
StatePublished - Jul 1 2015

Fingerprint

simulation model
Supply chains
supply
Assignment
Simulation model
Freight
transaction
purchase
Calibration
firm
Economics
demand
costs
management
economics
Costs

Keywords

  • Demand model
  • Economic order quantity
  • Firm simulation
  • Freight forecasting
  • Supply chain networks
  • Temporal assignment

ASJC Scopus subject areas

  • Business and International Management
  • Management Science and Operations Research
  • Transportation

Cite this

An inventory-based simulation model for annual-to-daily temporal freight assignment. / Zhao, Miyuan; Chow, Joseph Ying Jun; Ritchie, Stephen G.

In: Transportation Research Part E: Logistics and Transportation Review, Vol. 79, 01.07.2015, p. 83-101.

Research output: Contribution to journalArticle

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