The Decision-Making Analysis in Deciding Reverse Logistics System with Remanufacturing in Electronic Industry
DA Qing-li
Abstract
DA Qing-li
Abstract
The producer is always a leader in choosing its own reverse logistics system in electronic industry.In this paper,three reverse logistics models and their attributes are analyzed and proved.The attributes show that in view of incomes the producer should always choose building its own reverse logistics system in which can be gained the maximum incomes and the minimum prices.However,the return rate in this system may be the least one.It is also shown that the more remanufacturing rate of returns,the more return rate can be got.Conclusion shows that the best reverse logistics system should be decided by considering of environment and the acts,as well as the attributes of different models.
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The producer is always a leader in choosing its own reverse logistics system in electronic industry.In this paper,three reverse logistics models and their attributes are analyzed and proved.The attributes show that in view of incomes the producer should always choose building its own reverse logistics system in which can be gained the maximum incomes and the minimum prices.However,the return rate in this system may be the least one.It is also shown that the more remanufacturing rate of returns,the more return rate can be got.Conclusion shows that the best reverse logistics system should be decided by considering of environment and the acts,as well as the attributes of different models.
Key concepts: Remanufacturing, Reverse logistics, Business, Computer science, Industrial organization, Rate of return, Operations research, Operations management