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1.
Production Planning and Control ; 2023.
Article in English | Scopus | ID: covidwho-2303385

ABSTRACT

The challenges imposed by the business environment increasingly obligate supply chains to seek lower costs while maintaining high service levels. Healthcare supply chains face additional challenges since their main indicator is to save lives and provide care, nonetheless, keeping the revenue flow to support the activities. The covid-19 pandemic evidenced that a severe rupture in healthcare chains generates rupture in all other supply chains. In this sense, our paper has the objective of presenting a conceptual healthcare supply chain performance framework empirically validated by structural equation modelling. Our survey data were processed through the covariance-based structural equation modelling method, adopted for assessing the causal connection among the constructs. The paper revealed a relationship of supply chain integration, supply chain risk management, and supply chain 4.0 (antecedents) with healthcare supply chain performance (consequent). The literature contributions of this paper are (i) developing and validating a new scale for each construct;(ii) finding evidence of the causal relationships between the factors;(iii) measuring how the constructs influence the healthcare supply chain performance in both public and private healthcare sectors and providing discussion and tools to improve these results;(iv) this work empirically tested a theoretical framework;(v) the study reveals that the sector (public or private) has a moderating effect on all the constructs. Furthermore, the results of this study help to address some literature gaps identified by scholars having the potential to serve as a guide to organisations that are willing to implement these practices. Lastly, we recommend that HC supply chain managers consider the implementation of robust initiatives regarding SCRM, SCI, and SC40. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

2.
8th International Conference on Industrial and Business Engineering, ICIBE 2022 ; : 254-259, 2022.
Article in English | Scopus | ID: covidwho-2249346

ABSTRACT

Worldwide, there is an increase in the shortage of medical supplies due to the global health situation Covid-19. Therefore, it is important to implement methodologies that improve and optimize the management of medical supplies from their purchase, storage and distribution process within these centers. In this sense, the aim of this article is to analyze the relationship between logistics management, the level of supply of medical centers and the level of service provided to patients. Based on this, a study is made of a maternal and child polyclinic in the city of Lima, which has an availability level of 83.51%, which does not reflect an optimal level. Consequently, classification tools are implemented using the ABC-VED matrix and the Inventory Control System. Complementing it with the application of Good Storage Practices and Lean tools such as 5S and Standardization of work to conclude the proposal for improvement in the logistics management of this particular medical center. © 2022 ACM.

3.
International conference on Sustainable Infrastructure Development: Innovations and Advances, ICSIDIA 2020 ; 199:221-230, 2022.
Article in English | Scopus | ID: covidwho-1787748

ABSTRACT

Sanitization having a Lion Share of Attention on a Global dais in all the three-time zone Pre-COVID, COVOID, and Post-COVID is a matter of concern, especially for countries, which in the pre-era were striving hard to achieve it. Indian Government knitting the Spheris of Central and State Government has in the recent past shown bend towards the burning issue of Municipal Solid Waste Management. The Government had launched the schemes Swatch Bharat Mission, and it has been successful but is still on the backstage of its optimal potential as the basic motor of planning, i.e., “Master Plan” is missing in tier II and III cities when it comes to execution of such schemes. An attempt has been made in this paper to prepare a comprehensive plan for Dehradun city of Uttarakhand named “Solid waste Management Master Plan for Dehradun City 2041”. The following study will provide a complete spectrum approach towards the management of each component of Municipal Solid Waste Management of the city, including Waste Generation, Collection, Transportation, Treatment, and Disposal. Also, a service Level Benchmarking of both the Existing and Proposed System has been done to quantify the Output of the proposals and recommendations in the Existing System. Software such as GIS, GPS, and Remote Sensing is used in the study and has given an extra edge of Real-time and locational management for the Waste Management system of Dehradun until 2041. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

4.
Forest Chemicals Review ; 2021(September-October):922-927, 2021.
Article in English | Scopus | ID: covidwho-1728137

ABSTRACT

As the impact of COVID-19 continues, the "New infrastructure" initiative is stepping up, bringing both opportunities and challenges to smart city development. During the 14th Five-Year Plan period, the construction of smart city in China will be guided by the requirements of modernization of national governance, based on the needs, combined with the characteristics of urban capabilities, conform to the development trend of information technology, deepen digital infrastructure, improve service level, accelerate data governance, and build collaborative mechanism. © 2021 Kriedt Enterprises Ltd. All Rights Reserved.

5.
IISE Annual Conference and Expo 2021 ; : 758-763, 2021.
Article in English | Scopus | ID: covidwho-1589829

ABSTRACT

Globalization has been increased and generates more complex supply networks and connections. Therefore, supply chains are facing unforeseen disruptions that can halt production and cause delays in providing service. McKinsey reports that only 21% of supply chain organizations believe they have a high resilience network during the COVID-19 pandemic. The McKinsey survey reports that 90% of industries have lack transparency beyond tier-1 suppliers (deep-tier), causing some disruptions. In this study, the automotive supply network has been mapped through tier 2 and tier 3 suppliers and simulated with various disruption scenarios. A two-stage stochastic algorithm is used to optimize resilience management by considering multi-dimensional metrics such as min cost and delays and max service level. The results suggest three key strategies that can help the supply network to be at an acceptable resilience level. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.

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