Design of University Asset Procurement Optimization Scheme

Considering Multi-Objective Optimization

Huang Jian and Wang Yihan

Changchun Institute of Technologies, Jilin, 130012, China

Keywords: Multi-Objective Decision Theory, Taking into Account Multi-Objective Optimization, Procurement

Optimization Scheme, Universities, Assets.

Abstract: The procurement optimization scheme plays an important role in the asset procurement of universities, but

there is the problem of inaccurate optimization positioning. The traditional genetic algorithm cannot solve the

problem of procurement optimization in the asset procurement of universities, and the effect is not

satisfactory. In the management of modern educational resources, the procurement of university assets is a

crucial link. It is not only related to the teaching and research ability of the school, but also directly affects

the economic benefits and development sustainability of the school. Therefore, developing an efficient, cost-

effective and future-proof procurement plan is an important topic for every university administrator. This

article will discuss how to achieve multi-objective optimization of university asset procurement, and propose

an innovative and practical solution.

1 INTRODUCTION

First, we need to clarify the core concept of multi-

objective optimization (Ma and Sun, et al. 2023).

There are many goals involved in the process of

university asset procurement, including cost

minimization, quality maximization, supplier

stability, procurement efficiency, etc. To achieve the

optimal combination of these goals, scientific

methods and tools must be adopted (Liu and Wu,

2022). This usually requires the establishment of a

comprehensive evaluation model to quantify the

indicators, and then the use of multi-objective

decision theory to make trade-offs and choices (Li

and Qin, 2022).

2 RELATED CONCEPTS

2.1 Mathematical Description Taking

Into Account Multi-Objective

Optimization

For example, when considering the balance between

cost and quality, we can build a cost-benefit analysis

model that uses budget constraints and performance

requirements as constraints to find the best sourcing

point (Zheng, 2023). This requires not only a deep

understanding of asset prices in the market, but also

the ability to accurately assess the impact of asset

performance on future teaching and research.

)

Among them, the judgment of outliers is

shown in Equation (2).

)

Next, in order to ensure the stability of suppliers

and procurement efficiency, we can use the principles

of supply chain management to establish long-term

cooperative relations, and improve the transparency

and responsiveness of the procurement process

through information technology (Huang, 2021). For

example, the implementation of an e-procurement

system can greatly shorten the procurement cycle

(Liu, 2021), reduce the processing time of paper

documents, and also facilitate the tracking of order

status and timely adjustment of procurement

strategies.

lim( ) max( 2)

iij ij ij

yt y t

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iij

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max( ) ( 2 ) ( 4)

ij ij ij ij

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 M

352

Jian, H. and Yihan, W.

Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization.

DOI: 10.5220/0013543500004664

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 352-357

ISBN: 978-989-758-763-4

)

2.2 Selection of Procurement

Optimization Scheme

In addition, in order to meet the challenges of future

technological change, universities should consider

the flexibility and scalability of procurement (Liu

Yuanyuan, 2021). This means that when developing

a procurement plan, it is important not only to meet

current needs, but also to anticipate possible changes

in the future (Xu Yezhou, 2021). For example, it is

wise to purchase lab equipment that can be upgraded

and maintained, or to choose a computer system that

offers software update services.

(4)

In summary, through scientific methods,

advanced technology and close cooperation, the

multi-objective optimization of university asset

procurement solutions can effectively improve the

overall performance of procurement, and achieve the

multiple goals of cost savings, quality improvement,

supply stability and future adaptability (Li, 2021).

(5)

This not only brings significant economic benefits

to universities, but also provides a better learning and

research environment for students and teachers, thus

promoting the progress of the entire educational

industry.

)

2.3 Analysis of Procurement

Optimization Scheme

Against the backdrop of tight budgets, universities

need to make smart asset purchases while ensuring

the quality of education and meeting the needs of

teaching and research. This involves multiple

considerations, such as the quality of the asset, price,

supplier selection, maintenance costs, and the useful

life of the asset (Yu, 2021). In addition, the

transparency of the procurement process, compliance

and timeliness need to be considered. These factors

intertwine to make procurement a complex decision-

making issue.

)

Among them, it is stated

that the scheme needs to be proposed, otherwise the

scheme integration is required, and the result

is shown in Equation (8).

)

In practice, multi-objective optimization also

requires an interdisciplinary teamwork. Procurement

departments work closely with the finance

department, academic affairs department, research

teams, and external suppliers to analyze data and

make the best decisions. This collaborative work

model helps to integrate information and resources

from all sides, making procurement activities more

efficient and rational.

)

Finally, it's important to recognize that no

optimization is set in stone. With the changes in the

external environment and the development of internal

needs, the strategy of asset procurement of

universities should also be adjusted in a timely

manner. This requires regular evaluation of the

procurement effect, timely collection of feedback

information, and adjustment of optimization models

and decision-making parameters based on the

evaluation results.

(10

)

Multi-objective optimization is a mathematical

approach to finding the best trade-off solution

between multiple conflicting targets. In the asset

() 4 2 7

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(4)

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mean t



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mean t

≤



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ht gt Fd=+

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Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization

353

procurement of universities, multiple goals such as

cost minimization, efficiency maximization, and

supply risk minimization can be set, and algorithms

can be used to analyze and deal with the

interrelationship between these objectives, so as to

obtain a series of feasible procurement solutions.

3 OPTIMIZATION STRATEGY

OF PROCUREMENT

OPTIMIZATION PLAN

Second, the introduction of multi-objective

optimization theory. Multi-objective optimization is a

mathematical approach to finding the best trade-off

solution between multiple conflicting targets. In the

asset procurement of universities, multiple goals such

as cost minimization, efficiency maximization, and

supply risk minimization can be set, and algorithms

can be used to analyze and deal with the

interrelationship between these objectives, so as to

obtain a series of feasible procurement solutions.

3.1 Introduction of Procurement

Optimization Plan

In order to effectively execute a multi-objective

optimization strategy, it is first necessary to establish

clear procurement goals and standards. This includes

the establishment of a comprehensive evaluation

system covering asset performance, price,

maintenance services, supplier reputation and other

aspects. Next, the quantitative model was used to

score and rank different procurement options, and

sensitivity analysis was used to investigate the impact

of changes in each factor on the final result.

Table 1: Procurement optimization requirements

Scope of

application

Grade Accuracy Procurement

optimization

Electronic

Equipment

I 85.00 78.86

II 81.97 78.45

Experimental

ment

I 83.81 81.31

II 83.34 78.19

Supplier and

product

selection

I 79.56 81.99

II 79.10 80.11

The procurement optimization process in Table I.

is shown in Figure 1.

Figure 1: The process of analyzing procurement

optimization scenarios

This paper can show the application effect of

multi-objective optimization in university asset

procurement through specific cases. For example, a

university has successfully balanced short-term

expenses and long-term benefits by building a

comprehensive scoring system that includes teaching

quality, scientific research support, cost control and

other goals, and has realized the upgrading of

equipment while ensuring the stability of teaching

and scientific research.

3.2 Procurement Optimization Plan

With the advancement of science and technology and

the development of data analysis tools, the future of

university asset procurement will be more intelligent

and refined. The introduction of machine learning,

artificial intelligence and other technologies will

provide more powerful data support for purchasing

decisions. At the same time, universities need to

develop procurement teams with interdisciplinary

knowledge to adapt to this trend.

Table 2: The overall situation of the procurement

optimization plan

Category Random

data

Reliability Analysis

rate

Electronic

Equipment

85.32 85.90 83.95

Experimental

equipment

86.36 82.51 84.29

Supplier and

product

selection

84.16 84.92 83.68

,ean 86.84 84.85 84.40

X6 83.04 86.03 84.32

P=1.249

Theory

Multiple

target

Simulation Colleges

Asset

Multiple goals

Property

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354

3.3 Procurement Optimization Scheme

and Stability

Conclusion: In summary, multi-objective

optimization provides a scientific and systematic

decision-making framework for university asset

procurement. By setting targets, making accurate

quantitative assessments, and employing advanced

data processing techniques, we can not only improve

the efficiency of resource use, but also enhance the

strategic nature of asset procurement. In the future,

with the development of technology and the

accumulation of practical experience, multi-objective

optimization will play a greater role in the asset

procurement of universities.

Figure 2: Procurement optimization scheme with different

algorithms

In the era of knowledge economy, as an important

base for cultivating high-quality talents and scientific

research, the quality of education and innovation

ability is directly related to the quality of education

and the improvement of innovation ability. Therefore,

a forward-looking and reasonable university asset

Table 3: Comparison of the accuracy of procurement

optimization solutions of different methods

Algorithm Surve

y data

Procuremen

optimizatio

Magnitud

e of

change

Erro

Take into

account

multi-

objective

optimizatio

85.33 85.15 82.88 84.95

Genetic

algorithm

85.20 83.41 86.01 85.75

P 87.17 87.62 84.48 86.97

procurement plan is very important to support the

long-term development strategy of the university. The

purpose of this paper is to put forward a set of

systematic ideas and methods for university asset

procurement, in order to achieve optimal allocation of

resources and enhance the overall competitiveness of

universities.

First and foremost, any effective asset

procurement program must be based on an accurate

asset requirements analysis. Colleges and universities

should conduct regular asset inventory, clarify the

current asset stock and use status, and scientifically

predict the equipment renewal and new demand in a

certain period in the future in combination with the

school's development plan, professional setting and

scientific research project needs. In addition,

universities need to establish a dynamically adjusted

asset management system to ensure that asset

information is updated in real time and provide data

support for procurement decisions.

Figure 3: Procurement optimization with multi-objective

optimization in mind

Next, the procurement programme should

highlight the principle of cost-effectiveness. On the

premise of ensuring quality, select cost-effective

products through market competition mechanism.

3.4 Rationality of procurement

optimization scheme

Furthermore, sustainability is a principle that cannot

be ignored in modern university procurement. With

the improvement of social requirements for

environmental protection, green procurement has

become a trend. Universities should not only pay

attention to the energy-saving performance and

environmental protection standards of products when

purchasing, but also consider the environmental

responsibility and social responsibility performance

Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization

355

of suppliers, and encourage and support those

suppliers who practice the concept of sustainable

development.

In addition, the university asset procurement

program should strengthen follow-up management

and performance evaluation. Procurement is not a

simple transaction, but a complete process that

includes preliminary research, mid-term execution

and post-management.

Figure 4: Procurement optimization scheme with different

algorithms

3.5 The effectiveness of procurement

optimization programs

Finally, innovation is the core driving force for the

sustainable development of universities.

Incorporating innovative thinking into asset

procurement means moving beyond traditional

sourcing models and product selections. Universities

should actively explore opportunities for

collaboration with emerging technology companies,

such as using modern information technologies such

as cloud computing and big data to optimize

procurement processes, and even consider using

blockchain technology to achieve transparency and

traceability in the supply chain.

Figure 5: Procurement optimization scheme with different

algorithms

This move not only helps to establish the social image

of universities, but also conforms to the national

policy guidance of promoting green consumption.

Table 4: Comparison of the effectiveness of procurement

optimization solutions of different methods

Algorithm Surve

y data

Procureme

optimizatio

Magnitud

e of

change

Erro

Take into

account

multi-

objective

optimizati

82.21 85.92 84.59 82.8

Genetic

algorith

83.73 84.23 84.41 83.5

P 84.20 87.39 84.76 83.9

In summary, an excellent university asset

procurement plan should be based on accurate

demand analysis, follow the principles of cost-

effectiveness and sustainability, strengthen follow-up

management and continuous innovation. Only in this

way can colleges and universities maximize the value

of every penny under the condition of limited

resources, and lay a solid material foundation for

cultivating talents and scientific research

development in the future society.

Figure 6: Optimize procurement optimization solutions

with multiple objectives in mind

This is not only reflected in the selection of a

single product, but also in the total cost of ownership

of the asset from the perspective of the whole life

cycle. For example, consider the energy consumption

of the equipment, the cost of maintenance, and the

cost of eventual end-of-life disposal. To this end,

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universities can bring in professional third-party

evaluation agencies to participate in the procurement

process, and use financial analysis and risk

assessment methods to assist decision-making.

4 CONCLUSIONS

Therefore, colleges and universities should establish

a sound asset tracking and evaluation system to

conduct a comprehensive performance evaluation of

procurement results. This involves not only the

efficiency of equipment and the statistics of failure

rate, but also the survey of user satisfaction and the

collection of improvement opinions. Continuously

optimize asset procurement and management

processes through a continuous feedback loop.

ACKNOWLEDGMENTS

Research on asset Purchasing Strategy of colleges and

universities based on Big Data, number: ：

JJKH20230727SK.

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