Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Optimizing its supply chain has now become more than a necessity for any company seeking to expand its national and international market, so that it is able to continue its progress and fulfil its obligations towards its employees and its customers, particularly in the pharmaceutical context. The Covid-19 pandemic has shown the importance of resilience in the pharmaceutical industry to deal with unexpected disruptions and high demand from patients and authorities. Better production planning based on data management and predictive analysis, through the use of new Industry 4.0 tools, improves operational performance in terms of productivity and flexibility in relation to the vagaries of the request. It is in this vision that we approach the implementation of an "Advanced Planning and Scheduling -APS" system, in a pharmaceutical laboratory. It is a leading company in the Tunisian pharmaceutical market that seeks to expand its national and international market. In this work, we describe its project to implement an "Advanced Planning and Scheduling" system and its integration with its already functional "Enterprise Resource Planning" software system, as complementary decision-making tools.
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Source |
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http://dx.doi.org/10.1016/j.pharma.2024.02.007 | DOI Listing |
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