Stochastic production planning with regime switching

Covei, Dragoş-Pătru; Canepa, Elena Cristina; Pirvu, Traian A.

doi:10.3934/jimo.2022013

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…When a crisis occurs, the decision-makers of enterprises often face untimely, incomplete or even inaccurate information, which leads to the damage of corporate image or product reputation. Sometimes a crisis is enough to make the long-term investment of enterprises go down the drain, and the image is destroyed or even withdrawn from the market [3][4].…”

Section: Frequent Corporate Crisesmentioning

confidence: 99%

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Li¹,

Li²

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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In a large information environment, business problems are characterized by high reliability, uncertainties, and informational difficulties. Response ability has exceeded the ability of enterprises to manage them. In order to solve this problem, this article presents a design idea for emergency management system based on cloud computing technology in large data environment. It analyzes the main operation modes of the disaster management cloud platform, including LAS, PaaS, and SaaS, to meet the complex disaster management in large data environment. Using the advantage of cloud computing platform to achieve enterprise information crisis management can help enterprises to obtain timely and accurate information, and reduce the cost of decisionmaking problem. Cooperative crisis management of large groups under large information circumstances is a complex interactive decision-making process. The process of pushing for information resolution and providing authorization for crisis management, as well as mechanisms for demobilization, coordination, and crisis management, the evaluation and elimination mechanism of crisis response risks, and the feedback and negotiation mechanism of disposal results are the problems that need to be solved in the crisis management decision support system under big data.

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Section: Frequent Corporate Crisesmentioning

confidence: 99%

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Li¹,

Li²

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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“…Inspired by [1,7] and [8], the recent work [4] considers a model with survival probability π(a) pseudo exponential, i.e.…”

Section: A Special Linear Population Modelmentioning

confidence: 99%

A Nonlinear Population Model

Covei,

Pirvu,

Sterbeti

2023

Preprint

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This paper considers a nonlinear model for population dynamics with age structure. The fertility rate with respect to age is non constant and has the form proposed by . Moreover, its multiplicative structure and the multiplicative structure of mortality makes the model separable. In this setting it is shown that the number of births in unit time is given by a system of nonlinear ordinary differential equations. The steady state solution together with the equilibrium solution is found explicitly.

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