Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models
Today’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature r...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/9/4503 |
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| author | Malleswari Karanam Lanka Krishnanand Vijaya Kumar Manupati Katarzyna Antosz Jose Machado |
| author_facet | Malleswari Karanam Lanka Krishnanand Vijaya Kumar Manupati Katarzyna Antosz Jose Machado |
| author_sort | Malleswari Karanam |
| collection | DOAJ |
| description | Today’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature review has been conducted to identify the articles related to the perishable food supply chain. Next, with these identified articles, a map is created with bibliographic data using Vosviewer network visualization software, and then the enablers were identified by conducting keyword co-occurrence analysis. Later, a total interpretive structural modeling (TISM) is employed to analyze the interrelationships among enablers and then determine each enabler’s hierarchies, further representing them in a diagraph. Finally, the identified enablers are classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis, and the graph is plotted. The results obtained from the deterministic assessment model provide the critical enablers for the perishable food supply chain. The obtained critical enablers and their hierarchies provide valuable insights for researchers in the context of perishable food supply chain for further study. |
| first_indexed | 2024-03-10T04:21:09Z |
| format | Article |
| id | doaj.art-a212b967361d4ac0bbb0959a520d0d4d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:21:09Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a212b967361d4ac0bbb0959a520d0d4d2023-11-23T07:49:56ZengMDPI AGApplied Sciences2076-34172022-04-01129450310.3390/app12094503Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment ModelsMalleswari Karanam0Lanka Krishnanand1Vijaya Kumar Manupati2Katarzyna Antosz3Jose Machado4Department of Mechanical Engineering, NIT Warangal, Warangal 506004, Telangana, IndiaDepartment of Mechanical Engineering, NIT Warangal, Warangal 506004, Telangana, IndiaDepartment of Mechanical Engineering, NIT Warangal, Warangal 506004, Telangana, IndiaFaculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstańców Warszawy 8, 35-959 Rzeszów, PolandDepartment of Mechanical Engineering, School of Engineering, University of Minho, 4804-533 Guimaraes, PortugalToday’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature review has been conducted to identify the articles related to the perishable food supply chain. Next, with these identified articles, a map is created with bibliographic data using Vosviewer network visualization software, and then the enablers were identified by conducting keyword co-occurrence analysis. Later, a total interpretive structural modeling (TISM) is employed to analyze the interrelationships among enablers and then determine each enabler’s hierarchies, further representing them in a diagraph. Finally, the identified enablers are classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis, and the graph is plotted. The results obtained from the deterministic assessment model provide the critical enablers for the perishable food supply chain. The obtained critical enablers and their hierarchies provide valuable insights for researchers in the context of perishable food supply chain for further study.https://www.mdpi.com/2076-3417/12/9/4503total interpretive structural modeling (TISM)Vosviewerperishable productsenablerscross impact matrix multiplication applied to classification (MICMAC) |
| spellingShingle | Malleswari Karanam Lanka Krishnanand Vijaya Kumar Manupati Katarzyna Antosz Jose Machado Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models Applied Sciences total interpretive structural modeling (TISM) Vosviewer perishable products enablers cross impact matrix multiplication applied to classification (MICMAC) |
| title | Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models |
| title_full | Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models |
| title_fullStr | Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models |
| title_full_unstemmed | Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models |
| title_short | Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models |
| title_sort | identification of the critical enablers for perishable food supply chain using deterministic assessment models |
| topic | total interpretive structural modeling (TISM) Vosviewer perishable products enablers cross impact matrix multiplication applied to classification (MICMAC) |
| url | https://www.mdpi.com/2076-3417/12/9/4503 |
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