Online leasing problem with price fluctuations and the second-hand transaction

Feng, Xin; Chu, Chengbin

doi:10.1007/s10878-020-00640-x

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…However, in this case, the authors do not pay attention to assessing the profile of the tenant themselves. Feng X. et al [30] also researched online leasing problems with price fluctuations and second-hand transactions. They added price fluctuations during these periods and second-hand market prices to their model for a more realistic approach.…”

Section: Literature Sources Analysis and Purpose Of Study Formulationmentioning

confidence: 99%

Fuzzy Model for Determining the Risk Premium to the Rental Rate When Renting Technological Equipment

et al. 2023

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The article is devoted to the method of determining the risk surcharge in rental rates for special technological equipment. The relevance and features of the task, as well as existing approaches to solve it in other subject areas, are described. The risk of landlords is highlighted as “the inability to fully ensure the receipt of a stable income recorded in the lease agreement”. The three most significant risk-forming factors are highlighted: the early return of equipment, the emergence of debt on payments from the tenant, and the breakdown of equipment due to the fault of the tenant. A fuzzy model for estimating the likelihood of the manifestation of risk-forming factors is proposed depending on the following challenges of the rental pillar: the size of the enterprise, financial stability, the age of the enterprise, the number of current trials, and the reputation of the enterprise. Describes: universal linguistics for input and output values characterizing risky components, logical output rules, and the assessment of the likelihood of risk in general. Based on the SciKit-Fuzzy library for the Python language, the model studies all available values of input variables, and tenants are presented separately on the boundary values of the enterprise parameters. A methodology for determining the rental rate, taking into account the risk surcharge, is proposed.

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Section: Literature Sources Analysis and Purpose Of Study Formulationmentioning

confidence: 99%

Fuzzy Model for Determining the Risk Premium to the Rental Rate When Renting Technological Equipment

et al. 2023

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“…In all of the above literature, the resource price is assumed to be unchanged. The online leasing problem considering time-varying prices is investigated in [13,[37][38][39][40][41][42][43]. Irani and Ramanathan [37] considered a situation in which the resource price lies in a predetermined interval [1, M] while the rental fee remained unchanged.…”

Section: Introductionmentioning

confidence: 99%

“…Bienkowski [38] considered another online leasing problem where the prices on two consecutive days differed by at most 1. After that, the online leasing problem with price fluctuation bounded by CPI is studied in [13,39,40], in which the ratio between prices on two consecutive days was strictly less than a given upper bound. In addition, online leasing problems with depreciable resources are investigated in [41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Competitive Analysis of the Online Leasing Problem for Scarce Resources

Chen

Feng

2023

IJERPH

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The leasing activities of enterprises are of positive significance for promoting a green and low-carbon economy. For scarce resources that can easily go into tight supply states due to changes in the external market environment, the sudden change of their price is a common phenomenon in the leasing market. This paper provides an online leasing model based on the characteristics of scarce resources in which the resource might have a sudden price surge, and the length of its usage time cannot be known in advance. An online leasing strategy ON was then developed to achieve the minimum possible acquisition cost for the scarce resource. This strategy was proven to be the optimal online strategy through competitive analysis. Computational experiments were conducted to evaluate the performance of the proposed online strategy. Furthermore, sensitivity analysis of the problem parameters shows that increasing resource reserves and reducing the price-to-rent ratio are effective ways to improve the performance of enterprise leasing operation management for scarce resources.

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Competitive analysis for two-option online leasing problem under sharing economy

Zhang

Lin

et al. 2022

J Comb Optim

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Online leasing problem with price fluctuations and the second-hand transaction

Cited by 4 publications

References 21 publications

Fuzzy Model for Determining the Risk Premium to the Rental Rate When Renting Technological Equipment

Fuzzy Model for Determining the Risk Premium to the Rental Rate When Renting Technological Equipment

Competitive Analysis of the Online Leasing Problem for Scarce Resources

Competitive analysis for two-option online leasing problem under sharing economy

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