Zone pricing for time-definite LTL freight transportation with elastic demand

Cheng Chang Lin, Shwu Chiou Lee

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Because shipments to a pair of administrative divisions are typically delivered with the same time-in-transit service level, shippers expect that they should be charged the same price. Thus, the carrier clusters operation centers located in the same administrative division into a tier-1 zone. These zones are subsequently aggregated into a set of hierarchical zones for which the carrier defines and publishes a zone tariff chart. Zone pricing is a tactical decision that simultaneously determines the zone prices and an operational plan to use its operating capacity to maximize carrier's profit while meeting the expected service level and operational requirements. We modeled this integral-constrained concave program using link formulation and proposed an implicit enumeration embedded with Lagrangian relaxation upper bounds to determine the optimal prices and operations plan. To meet the shippers' expectation, we proved our model mathematically and demonstrated computationally, using Taiwan's largest time-definite LTL freight carrier, that zone pricing has a negative impact on carrier profit in the process of aggregation.

Original languageEnglish
Pages (from-to)51-60
Number of pages10
JournalComputers and Operations Research
Volume62
DOIs
Publication statusPublished - 2015 Oct 1

Fingerprint

Freight transportation
Pricing
Profitability
Costs
Agglomeration
Service Levels
Profit
Division
Implicit Enumeration
Lagrangian Relaxation
Taiwan
Demand
Elastic demand
Chart
Aggregation
Maximise
Upper bound
Service levels
Formulation
Requirements

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Modelling and Simulation
  • Management Science and Operations Research

Cite this

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Zone pricing for time-definite LTL freight transportation with elastic demand. / Lin, Cheng Chang; Lee, Shwu Chiou.

In: Computers and Operations Research, Vol. 62, 01.10.2015, p. 51-60.

Research output: Contribution to journalArticle

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