Compromising fairness for enterprise resource efficiency improvement

Pan, Lian; Zou, Huicong; Wang, H.

doi:10.1109/fskd.2017.8393407

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…При анализе полученных результатов учтено, что выполнение экстремальных и граничных требований выполнялось разным образом, что обусловлено многовариативностью управленческих решений. Одним из перспективных подходов является использование метода экспертных оценок [10][11][12][13][14][15][16][17][18][19][20].…”

Section: результатыunclassified

Solving the problem of optimizing the resource efficiency of an enterprise using lean manufacturing technologies

Preobrazhenskiy

Linkina

2021

Vestn. Voronež. gos. univ. inž. tehnol.

View full text Add to dashboard Cite

The article provides a solution to the problem of studying the characteristics of resource efficiency for a given time interval in the form of solving an optimization problem (using dynamic programming methods and the method of recurrent Bellman equations. A multistep search for a solution was carried out for a given period of planning production activities. Boundary requirements were met in different ways due to the multivariate management decisions. The features of the optimization model were considered. The solution of the multistep problem is reduced to the sequential solution of several one-step optimization problems. The function of changes in resource efficiency in lean manufacturing technologies was set for the planning period. Changes in technologies for the capability involved demonstrate how resource efficiency changes with the observation time. It is noted thaqt the experience accumulation of experts and participants in the production process in the implementation of innovative approaches is of great importance for reducing all types of losses. It was revealed that one of the crucial parameters in a multi-criteria system is the preservation of efficient operation in the subsystem associated with intelligent decision support. The optimal amounts of costs have been determined. Their assessment was carried out to allow for the fact that when solving optimization problems, it is necessary to take into account such criteria for which the values take extrema. Assuming a successful solution of the optimization problem posed and analyzing the results obtained when dividing the multistep decision into three one-step ones, we received S-shaped functions with a function value equal to 6.8%

show abstract

Section: результатыunclassified

Solving the problem of optimizing the resource efficiency of an enterprise using lean manufacturing technologies

Preobrazhenskiy

Linkina

2021

Vestn. Voronež. gos. univ. inž. tehnol.

View full text Add to dashboard Cite

show abstract

“…Resource efficiency and user fairness are two important considerations in general resource allocation management. How to achieve both resource efficiency improvement and user fairness maintenance 1–6 is an important and interesting research topic that has attracted a lot of research attention. As for the resource provider, the economic efficiency of the resource is most desirable.…”

Section: Introductionmentioning

confidence: 99%

Achieving balance between economic efficiency and user fairness in traffic rate management

Pan

Wang

Li³

2020

Int J Communication

View full text Add to dashboard Cite

SummaryThis paper studies achieving the desired balance between the resource economic efficiency and user fairness in network traffic rate allocation management. Fairness is a basic requirement of different competing traffic users, while maximizing the economic efficiency of traffic rate resource is desired by the network system resource provider. Hence, how to balance these two respects to achieve the desired trade‐off is a key challenging issue in real applications. Particularly, we propose a weight mechanism to specify the rate allocation weight ratio among different competing traffic users and also a trade‐off factor mechanism to clarify the extent of fairness compromise. To optimize the system rate resource economic efficiency, we formulate an objective optimization problem with consideration of both user weight diversity and fairness trade‐off as well. We also derive the balance curve, which shows the rate resource economic efficiency improved in relation to the extent of traffic user fairness trade‐off. The demonstration models are also constructed to implemented to implement both the trade‐off acceptable and unacceptable cases in practical traffic rate resource allocation applications.

show abstract

Compromising fairness for enterprise resource efficiency improvement

Cited by 2 publications

References 16 publications

Solving the problem of optimizing the resource efficiency of an enterprise using lean manufacturing technologies

Solving the problem of optimizing the resource efficiency of an enterprise using lean manufacturing technologies

Achieving balance between economic efficiency and user fairness in traffic rate management

Contact Info

Product

Resources

About