Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs
High turnover in the pharmaceutical industry, the location of placebos in urban spaces, and the high rate of corruption of products in this industry are the distinguishing features of the drug supply chain. Thus, to survive and maintain competitive advantages in the current business environment, man...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/4526641 |
| _version_ | 1797996725420425216 |
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| author | Madad Ali Martha Ng Rui Dias Iskandar Muda Riyadh Al-Obaidi Barno Abdullaeva Himanshu Sharma Hussein Mohammed Esmail Abu Al-Rejal Ali Thaeer Hammid |
| author_facet | Madad Ali Martha Ng Rui Dias Iskandar Muda Riyadh Al-Obaidi Barno Abdullaeva Himanshu Sharma Hussein Mohammed Esmail Abu Al-Rejal Ali Thaeer Hammid |
| author_sort | Madad Ali |
| collection | DOAJ |
| description | High turnover in the pharmaceutical industry, the location of placebos in urban spaces, and the high rate of corruption of products in this industry are the distinguishing features of the drug supply chain. Thus, to survive and maintain competitive advantages in the current business environment, managers are active in this background to implement the theoretical foundations of supply chain management. One of the influential areas in this category is integrated inventory management, inventory control, and vehicle routing. Therefore, this study mainly aims to analyze and define a routing problem, inventory in the drug supply chain with perishable products, and travel time dependence on multiple graphs with travel time dependence. The Box–Jenkins forecasting method has been utilized to meet the study’s aim and deal with demand uncertainty. This method can identify the best pattern governing the data. Finally, the mathematical model is validated, and managerial perspectives are provided. The study results demonstrated the possibility of achieving cost-saving and reducing product spoilage. Applying the solutions of this model can provide some inherent social and environmental advantages, including reducing traffic load and emissions. |
| first_indexed | 2024-04-11T10:20:56Z |
| format | Article |
| id | doaj.art-dbcca624a1e14b71acd22f1fab827243 |
| institution | Directory Open Access Journal |
| issn | 1607-887X |
| language | English |
| last_indexed | 2024-04-11T10:20:56Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj.art-dbcca624a1e14b71acd22f1fab8272432022-12-22T04:29:45ZengHindawi LimitedDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/4526641Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple GraphsMadad Ali0Martha Ng1Rui Dias2Iskandar Muda3Riyadh Al-Obaidi4Barno Abdullaeva5Himanshu Sharma6Hussein Mohammed Esmail Abu Al-Rejal7Ali Thaeer Hammid8Center of Environment COMSATS University Islamabad-Abbottabad CampusDepartment of AccountingSchool of Business and AdministrationDepartment of Doctoral ProgramAl-Mustaqbal University CollegeVice-Rector for Scientific AffairsDepartment of Computer Engineering and ApplicationsHodeidah UniversityComputer Engineering Techniques DepartmentHigh turnover in the pharmaceutical industry, the location of placebos in urban spaces, and the high rate of corruption of products in this industry are the distinguishing features of the drug supply chain. Thus, to survive and maintain competitive advantages in the current business environment, managers are active in this background to implement the theoretical foundations of supply chain management. One of the influential areas in this category is integrated inventory management, inventory control, and vehicle routing. Therefore, this study mainly aims to analyze and define a routing problem, inventory in the drug supply chain with perishable products, and travel time dependence on multiple graphs with travel time dependence. The Box–Jenkins forecasting method has been utilized to meet the study’s aim and deal with demand uncertainty. This method can identify the best pattern governing the data. Finally, the mathematical model is validated, and managerial perspectives are provided. The study results demonstrated the possibility of achieving cost-saving and reducing product spoilage. Applying the solutions of this model can provide some inherent social and environmental advantages, including reducing traffic load and emissions.http://dx.doi.org/10.1155/2022/4526641 |
| spellingShingle | Madad Ali Martha Ng Rui Dias Iskandar Muda Riyadh Al-Obaidi Barno Abdullaeva Himanshu Sharma Hussein Mohammed Esmail Abu Al-Rejal Ali Thaeer Hammid Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs Discrete Dynamics in Nature and Society |
| title | Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs |
| title_full | Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs |
| title_fullStr | Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs |
| title_full_unstemmed | Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs |
| title_short | Providing a Mathematical Routing-Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs |
| title_sort | providing a mathematical routing inventory model for the drug supply chain considering the travel time dependence and perishability on multiple graphs |
| url | http://dx.doi.org/10.1155/2022/4526641 |
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