Confirmation of a measurement model for hospital supply chain resilience DOI Creative Commons
Baoyang Ding,

Xiaohan Yang,

Tiantian Gao

и другие.

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Май 22, 2024

Background The hospital supply chain has revealed increasing vulnerabilities and disruptions in the wake of COVID-19 pandemic, threatening healthcare services patient safety. resilience chains emerged as a paramount concern within system. However, there is lack systematic research to develop an instrument tailored industry that both valid reliable for measuring resilience. Therefore, this study aims construct validate comprehensive scale assessing resilience, based on dynamic capability theory. Methods This followed rigorous development steps, starting with literature review 15 semi-structured interviews generate initial items. These items were then refined through expert panel feedback three rounds Delphi studies. Using data from 387 hospitals Province S, mainland China, underwent testing validation using structural equation modeling. To ensure most effective model, five alternative models examined determine suitable parsimonious model. Results produced 26-item captures dimensions line theory: anticipation, adaptation, response, recovery, learning, all showing satisfactory consistency, reliability validity. Conclusion multi-dimensional offers managers valuable tool identify areas needing attention improvement, benchmark against their counterparts, ultimately strengthen unexpected risks.

Язык: Английский

Optical memory in IoT devices: an energy-efficient approach using phase change materials DOI
Belal Jahannia, Jiachi Ye,

Salem Altaleb

и другие.

Опубликована: Март 12, 2024

As Internet-of-Things (IoT) devices continue to grow rapidly in number, developing energy-efficient memory solutions has become critically important. This paper introduces an innovative Phase Change Memory (PCM) architecture that can significantly reduce energy consumption IoT devices. After highlighting the energy-inefficiency of current designs, we explore possibilities leveraging PCM. We demonstrate benefits exploiting PCM are dependent on working frequency CPU and show how surpass with SRAM DRAM. a replacement candidate for FLASH, also be utilized instead based application save more energy. Ongoing work focuses deployment this dependency enhancing efficiency using Our innovation enables improved functionality lifetimes non-volatile edge represents major advance towards realizing widespread integration photonics electronics hardware.

Язык: Английский

Процитировано

1

Low-latency full precision optical convolutional neural network accelerator DOI
Belal Jahannia, Jiachi Ye,

Salem Altaleb

и другие.

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

1

A smart inventory management system with medication demand dependencies in a hospital supply chain: A multi-agent reinforcement learning approach DOI
Esha Saha, Pradeep Rathore

Computers & Industrial Engineering, Год журнала: 2024, Номер 191, С. 110165 - 110165

Опубликована: Апрель 18, 2024

Язык: Английский

Процитировано

1

Availability Simulation and Transfer Prediction for Bike Sharing Systems Based on Discrete Event Simulation DOI
Yu Zhou, Yang Chen,

Shenyan Liu

и другие.

Socio-Economic Planning Sciences, Год журнала: 2024, Номер 94, С. 101922 - 101922

Опубликована: Май 8, 2024

Язык: Английский

Процитировано

1

Confirmation of a measurement model for hospital supply chain resilience DOI Creative Commons
Baoyang Ding,

Xiaohan Yang,

Tiantian Gao

и другие.

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Май 22, 2024

Background The hospital supply chain has revealed increasing vulnerabilities and disruptions in the wake of COVID-19 pandemic, threatening healthcare services patient safety. resilience chains emerged as a paramount concern within system. However, there is lack systematic research to develop an instrument tailored industry that both valid reliable for measuring resilience. Therefore, this study aims construct validate comprehensive scale assessing resilience, based on dynamic capability theory. Methods This followed rigorous development steps, starting with literature review 15 semi-structured interviews generate initial items. These items were then refined through expert panel feedback three rounds Delphi studies. Using data from 387 hospitals Province S, mainland China, underwent testing validation using structural equation modeling. To ensure most effective model, five alternative models examined determine suitable parsimonious model. Results produced 26-item captures dimensions line theory: anticipation, adaptation, response, recovery, learning, all showing satisfactory consistency, reliability validity. Conclusion multi-dimensional offers managers valuable tool identify areas needing attention improvement, benchmark against their counterparts, ultimately strengthen unexpected risks.

Язык: Английский

Процитировано

1