scholarly journals Solving the disassembly-to-order system under stochastic yields, limited supply, and quantity discount

2010 ◽  
Author(s):  
Amre Zuhair Massoud
Author(s):  
Amre Z. Massoud ◽  
Surendra M. Gupta

Our previous model [1] considered the disassembly-to-order (DTO) system where a variety of returned products were disassembled in order to satisfy the demand for specified number of components in a single period with limited supply and quantity discount. This paper extends the previous model by solving the problem in multiple periods. Lingo 11.0 and spreadsheet analysis are used to solve the problem under stochastic yields, limited supply, and quantity discount. The main objective of the model is to determine the optimal number of take-back end-of-life (EOL) products for the DTO system that maximizes the total profit. In order to meet the customer’s demand for the different components, a wide variety of products and subassemblies are considered for disassembly. Our model is further complicated because the operating conditions of the take-back EOL products are unknown. As a result, heuristic approach is used to transform the stochastic yields into deterministic equivalents. Additionally, several factors are considered before disassembling any product. When solved, the model provides an optimal ordering policy for the multi-period DTO system. An example is considered to illustrate the use of the model.


2004 ◽  
pp. 76-94 ◽  
Author(s):  
V. Gimpelson

The article discusses the issue of shortage of skills in the Russian industry. Using microdata from a survey of industrial enterprises, the author confirms that most of employers complain of difficulties in hiring and attaching skilled workers. In case of mass occupations, this shortage relates mostly to low efficient enterprises, which are unable or unwilling to pay competitive market going wage. More efficient and better paying firms are less likely to face shortage of general skills on the labor market but may face limited supply of specific skills.


2016 ◽  
Vol 136 (5) ◽  
pp. 676-682 ◽  
Author(s):  
Akihiro Ishimura ◽  
Masayoshi Nakamoto ◽  
Takuya Kinoshita ◽  
Toru Yamamoto

Sign in / Sign up

Export Citation Format

Share Document