Next Article in Journal
Special Issue on Reconfiguration Problems
Next Article in Special Issue
MapReduce Algorithm for Location Recommendation by Using Area Skyline Query
Previous Article in Journal
An Algorithmic Look at Financial Volatility
Previous Article in Special Issue
Towards the Verbal Decision Analysis Paradigm for Implementable Prioritization of Software Requirements
Article Menu

Export Article

Open AccessArticle
Algorithms 2018, 11(11), 186; https://doi.org/10.3390/a11110186

Pricing Strategies of Logistics Distribution Services for Perishable Commodities

1,2
,
1
and
1,*
1
School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China
2
China Waterborne Transport Research Institute, Beijing 100088, China
*
Author to whom correspondence should be addressed.
Received: 22 October 2018 / Revised: 12 November 2018 / Accepted: 14 November 2018 / Published: 17 November 2018
(This article belongs to the Special Issue Algorithms for Decision Making)
Full-Text   |   PDF [1252 KB, uploaded 17 November 2018]   |  
  |   Review Reports

Abstract

The problem of pricing distribution services is challenging due to the loss in value of product during its distribution process. Four logistics service pricing strategies are constructed in this study, including fixed pricing model, fixed pricing model with time constraints, dynamic pricing model, and dynamic pricing model with time constraints in combination with factors, such as the distribution time, customer satisfaction, optimal pricing, etc. By analyzing the relationship between optimal pricing and key parameters (such as the value of the decay index, the satisfaction of consumers, dispatch time, and the storage cost of the commodity), it is found that the larger the value of the attenuation coefficient, the easier the perishable goods become spoilage, which leads to lower distribution prices and impacts consumer satisfaction. Moreover, the analysis of the average profit of the logistics service providers in these four pricing models shows that the average profit in the dynamic pricing model with time constraints is better. Finally, a numerical experiment is given to support the findings. View Full-Text
Keywords: perishable goods; value loss; pricing strategy; logistics distribution perishable goods; value loss; pricing strategy; logistics distribution
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Li, T.; Chen, Y.; Li, T. Pricing Strategies of Logistics Distribution Services for Perishable Commodities. Algorithms 2018, 11, 186.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top