Retailer's Optimal Pricing and Ordering Policies for Non-Instantaneous Deteriorating Items with Price-Dependent Demand and Partial Backlogging
By Chih-te Yang, Liang-Yuh Ouyang, Hsing-Han Wu. 2009
58 citations recorded by the source corpus.
An inventory system for non-instantaneous deteriorating items with price-dependent demand is formulated and solved. A model is developed in which shortages are allowed and partially backlogged, where the backlogging rate is variable and dependent on the waiting time for the next replenishment. The major objective is to determine the optimal selling price, the length of time in which there is no inventory shortage, and the replenishment cycle time simultaneously such that the total profit per unit time has a maximum value. An algorithm is developed to find the optimal solution, and numerical examples are provided to illustrate the theoretical results. A sensitivity analysis of the optimal solution with respect to major parameters is also carried out.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/c6db2e54db26a6ac9268c3bf1de8f26da87c317b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
In Management Information Systems
- Liang-Yuh Ouyang
- Mei-Chuan Cheng
- Chun-Tao Chang
- Yung-Fu Huang
- Jinn-Tsair Teng
- Biswajit Sarkar
- Hardik N. Soni
- Ata Allah Taleizadeh
In Strategy and Management
- Liang-Yuh Ouyang
- Mei-Chuan Cheng
- Chun-Tao Chang
- Yung-Fu Huang
- Jinn-Tsair Teng
- Ata Allah Taleizadeh
- Kuang-Hua Hsu
- Hardik N. Soni
Citations in the corpus
- Optimal pricing and ordering policies for non-instantaneously deteriorating items under order-size-dependent delay in payments (2015, background): “[16] developed a model in which shortages are accepted and partially backlogged with a variable backlogging rate dependent on the waiting time for the next replenishment.”