Client Perspective Based Multimode Project Payment Scheduling Problem and Its Heuristic Algorithm

He, Zhengwen; Liu, Ren-jing; Hu, Xin; Yang, Xu

doi:10.1016/s1874-8651(10)60038-5

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…The allocation of the project resources, optimizing the project duration, and estimated costs are necessary (Trinh et al 2019 ). Because of the restrictions inherent in the project, project scheduling entails establishing the start time of each project activity and developing a timing sequence to conduct a set of relevant tasks in order of their priority (He, Liu et al 2009 ). Hence, there is a balance between project completion time and overall cost, and one or more aims are met.…”

Section: Introductionmentioning

confidence: 99%

A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic

Sun

Chen

Khalilzadeh

et al. 2023

Inf Syst E-Bus Manage

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The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century upheavals in global civilization. Payment systems have advanced lately, from simple cash or credit card transactions to various forms of mobile payment systems. This transformation is occurred due to COVID 19 and shifts in the economy, the growth of social networks, technical advancements on the Internet, and the increased usage of mobile devices. Throughout COVID19, this article offers a unique approach to the payment scheduling issue, which seeks out a timetable that enhances the project's stakeholders' benefit. Both the sponsor and the contractor in a project want to have a strong payment plan on their own. To create an equal schedule between the sponsor and the development team, the timing of payments and the completion periods of project activities are decided concurrently. The Harris hawks optimization method is designed to tackle the problem because of its high NP-hardness. Harris hawks optimization is a novel meta-heuristic nature-inspired optimizer inspired by how Harris hawks hunt food in nature. By comparing the suggested Harris hawks optimization optimizer to existing nature-inspired methods, the efficacy of the suggested Harris hawks optimization optimizer is determined. The Harris hawks optimization algorithm appears to be highly promising based on the statistical findings and comparisons. The MATLAB simulator's simulation findings confirm the algorithm's superiority over earlier efforts regarding energy, cost, delay time, and net value.

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Section: Introductionmentioning

confidence: 99%

A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic

Sun

Chen

Khalilzadeh

et al. 2023

Inf Syst E-Bus Manage

View full text Add to dashboard Cite

show abstract

“…Their model is tested with a simulated annealing algorithm on an example from literature. He et al (2009a) use a similar simulated annealing approach to discuss the client's perspective in detail, whereas He et al (2009b) propose three different payment models for the cash flows from the client to the contractor. These payment models determine the timing and size of payments to the contractor, based on the schedule used.…”

Section: Discrete Time/cost Trade-off In Project Schedulingmentioning

confidence: 99%

The impact of solution representations on heuristic net present value optimization in discrete time/cost trade-off project scheduling with multiple cash flow and payment models

Leyman

Driessche

Vanhoucke

et al. 2019

Computers & Operations Research

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“…Dayanand and Padman (1997)), or the payment times depend on the progress of the project (e.g. based on total costs incurred by the contractor (He et al, 2009a)). …”

Section: Literature Overviewmentioning

confidence: 99%

Capital- and resource-constrained project scheduling with net present value optimization

Leyman

Vanhoucke

2017

European Journal of Operational Research

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In this paper, we study the capital-constrained project scheduling problem with discounted cash flows (CCPSPDC) and the capital-and resource-constrained project scheduling problem with discounted cash flows (CRCPSPDC). The objective of both problems is to maximize the project net present value (NPV), based on three cash flow models. Both problems include capital constraints, which force the project to always have a positive cash balance. Hence, it is crucial to schedule activities in such an order that sufficient capital is available.The contribution of this paper is threefold. First, we propose three distinct cash flow models, which affect the capital availability during the project. Second, we introduce two new schedulers to improve capital feasibility, one for the CCPSPDC and one for the CRCPSPDC. The schedulers focus on delaying sets of activities, which cause cash outflows to be received at later time instances, in order to reduce capital shortages. Both schedulers are implemented as part of three metaheuristics from literature, in order to compare the metaheuristics' performance. Two penalty functions have been included, one to improve capital feasibility and another to improve deadline feasibility. Third, the proposed procedure has been tested on a large dataset and the added value of the schedulers has been validated. Managerial insights are provided with respect to the impact of key parameters.

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Client Perspective Based Multimode Project Payment Scheduling Problem and Its Heuristic Algorithm

Cited by 6 publications

References 10 publications

A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic

A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic

The impact of solution representations on heuristic net present value optimization in discrete time/cost trade-off project scheduling with multiple cash flow and payment models

Capital- and resource-constrained project scheduling with net present value optimization

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