On the Choice-Based Linear Programming Model for Network Revenue Management

2008 ◽  
Vol 10 (2) ◽  
pp. 288-310 ◽  
Author(s):  
Qian Liu ◽  
Garrett van Ryzin
Keyword(s):  
Linear Programming ◽  
Revenue Management ◽  
Programming Model ◽  
Linear Programming Model ◽  
Network Revenue Management ◽  
Network Revenue

scholarly journals Uncertain Programming for Network Revenue Management

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Deyi Mou ◽  
Xiaoxin Wang
Keyword(s):  
Revenue Management ◽  
Programming Model ◽  
Chance Constrained Programming ◽  
Uncertain Programming ◽  
Network Revenue Management ◽  
Uncertain Variables ◽  
Inventory Control Problem ◽  
Constrained Programming ◽  
Seat Inventory Control ◽  
Network Revenue

The mathematical model for airline network seat inventory control problem is usually investigated to maximize the total revenue under some constraints such as capacities and demands. This paper presents a chance-constrained programming model based on the uncertainty theory for network revenue management, in which the fares and the demands are both uncertain variables rather than random variables. The uncertain programming model can be transformed into a deterministic form by taking expected value on objective function and confidence level on the constraint functions. Based on the strategy of nested booking limits, a solution method of booking control is developed to solve the problem. Finally, this paper gives a numerical example to show that the method is practical and efficient.

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

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