Modeling performance indicators of resilient pharmaceutical supply chain
Purpose – In the recent dynamic market, supply chain disruptions are rapidly increasing with varied customer demand, technological changes, uncertain pandemic events etc. To overcome the unexpected disruptions, supply chain of each business should be resilient and pharmaceutical supply chain (PSC) i...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2020-12-01
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| Series: | Modern Supply Chain Research and Applications |
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| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/MSCRA-04-2020-0006/full/pdf?title=modeling-performance-indicators-of-resilient-pharmaceutical-supply-chain |
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| author | Chitra Lekha Karmaker Tazim Ahmed |
| author_facet | Chitra Lekha Karmaker Tazim Ahmed |
| author_sort | Chitra Lekha Karmaker |
| collection | DOAJ |
| description | Purpose – In the recent dynamic market, supply chain disruptions are rapidly increasing with varied customer demand, technological changes, uncertain pandemic events etc. To overcome the unexpected disruptions, supply chain of each business should be resilient and pharmaceutical supply chain (PSC) is no exception. Motivated by the challenges and unexpected pandemic disruptions, this paper aims to examine the performance indicators (PIs) of the resilient PSC and to predict the resilience level for a certain time period in the context of Bangladesh. Design/methodology/approach – The aim of this paper presents a structured framework based on the Delphi method, fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) and system dynamics (SD). The proposed methodology was validated using expert's inputs from the relevant field in Bangladesh. This study reveals the influential relationships of indicators and resilience level using fuzzy DEMATEL and SD to improve the resiliency. Findings – Findings revealed that “Supply chain risk orientation”, “Visibility”, “Flexibility”, “Agility in supply chain” and “Collaboration” are the top five influential performance indicators for resilient PSC. The cause and effect relationship found that “IT capability”, “Flexibility”, “Supply chain network design”, “Resource availability”, “Supply chain risk orientation” and “Velocity” were in cause category which play a vital role for establishing resilient supply chain. SD approach has developed a model for predicting the resilience level of the supply chain. Originality/value – This work is one of the initial contributions in the literature that has targeted on the identification and analysis of the significant PIs and predicting the resilience level of the PSC. |
| first_indexed | 2024-04-12T18:07:08Z |
| format | Article |
| id | doaj.art-37dc6530a1b6472ea2d47ab9212790dc |
| institution | Directory Open Access Journal |
| issn | 2631-3871 |
| language | English |
| last_indexed | 2024-04-12T18:07:08Z |
| publishDate | 2020-12-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Modern Supply Chain Research and Applications |
| spelling | doaj.art-37dc6530a1b6472ea2d47ab9212790dc2022-12-22T03:21:57ZengEmerald PublishingModern Supply Chain Research and Applications2631-38712020-12-012317920510.1108/MSCRA-04-2020-0006657111Modeling performance indicators of resilient pharmaceutical supply chainChitra Lekha Karmaker0Tazim Ahmed1Jashore University of Science and Technology, Jashore, BangladeshJashore University of Science and Technology, Jashore, BangladeshPurpose – In the recent dynamic market, supply chain disruptions are rapidly increasing with varied customer demand, technological changes, uncertain pandemic events etc. To overcome the unexpected disruptions, supply chain of each business should be resilient and pharmaceutical supply chain (PSC) is no exception. Motivated by the challenges and unexpected pandemic disruptions, this paper aims to examine the performance indicators (PIs) of the resilient PSC and to predict the resilience level for a certain time period in the context of Bangladesh. Design/methodology/approach – The aim of this paper presents a structured framework based on the Delphi method, fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) and system dynamics (SD). The proposed methodology was validated using expert's inputs from the relevant field in Bangladesh. This study reveals the influential relationships of indicators and resilience level using fuzzy DEMATEL and SD to improve the resiliency. Findings – Findings revealed that “Supply chain risk orientation”, “Visibility”, “Flexibility”, “Agility in supply chain” and “Collaboration” are the top five influential performance indicators for resilient PSC. The cause and effect relationship found that “IT capability”, “Flexibility”, “Supply chain network design”, “Resource availability”, “Supply chain risk orientation” and “Velocity” were in cause category which play a vital role for establishing resilient supply chain. SD approach has developed a model for predicting the resilience level of the supply chain. Originality/value – This work is one of the initial contributions in the literature that has targeted on the identification and analysis of the significant PIs and predicting the resilience level of the PSC.https://www.emerald.com/insight/content/doi/10.1108/MSCRA-04-2020-0006/full/pdf?title=modeling-performance-indicators-of-resilient-pharmaceutical-supply-chainpharmaceutical industrysupply chain resilienceperformance indicatorsfuzzy dematelsystem dynamics model |
| spellingShingle | Chitra Lekha Karmaker Tazim Ahmed Modeling performance indicators of resilient pharmaceutical supply chain Modern Supply Chain Research and Applications pharmaceutical industry supply chain resilience performance indicators fuzzy dematel system dynamics model |
| title | Modeling performance indicators of resilient pharmaceutical supply chain |
| title_full | Modeling performance indicators of resilient pharmaceutical supply chain |
| title_fullStr | Modeling performance indicators of resilient pharmaceutical supply chain |
| title_full_unstemmed | Modeling performance indicators of resilient pharmaceutical supply chain |
| title_short | Modeling performance indicators of resilient pharmaceutical supply chain |
| title_sort | modeling performance indicators of resilient pharmaceutical supply chain |
| topic | pharmaceutical industry supply chain resilience performance indicators fuzzy dematel system dynamics model |
| url | https://www.emerald.com/insight/content/doi/10.1108/MSCRA-04-2020-0006/full/pdf?title=modeling-performance-indicators-of-resilient-pharmaceutical-supply-chain |
| work_keys_str_mv | AT chitralekhakarmaker modelingperformanceindicatorsofresilientpharmaceuticalsupplychain AT tazimahmed modelingperformanceindicatorsofresilientpharmaceuticalsupplychain |