Rent pricing decision support mathematical model for finance leases under effective risks

Autor: Rabbani Masoud, Shadab Shisheh Gar, Gaeini Zeinab, Rafiei Hamed, Dolatkhah Mahdi
Jazyk: English<br />Serbian
Rok vydání: 2015
Předmět:
Zdroj: Journal of Engineering Management and Competitiveness, Vol 5, Iss 1, Pp 3-11 (2015)
Druh dokumentu: article
ISSN: 2334-9638
2217-8147
DOI: 10.5937/jemc1501003R
Popis: Nowadays, leasing has become an increasingly important and popular method for equipment acquisition. But, because of the rent pricing difficulties and some risks that affect the lessor and lessee's decision making, there are many people that still tend to buy equipment instead of lease it. In this paper we explore how risk can affect the leasing issue support mathematical model. For this purpose, we consider three types of risk; Credit risk, Transaction risk and Risk based pricing. In particular, our focus was on how to make decision about rent pricing in a leasing problem with different customers, various quality levels and different pricing methods. Finally, the mathematical model has been solved by Genetic Algorithm that is a search heuristic to optimize the problem. This algorithm was coded in MATLAB® R2012a to provide the best set of results.
Databáze: Directory of Open Access Journals