Chitra Lekha Karmaker, Tazim Ahmed, Sayem Ahmed, Syed Mithun Ali et al.
Motivated by the COVID-19 pandemic and the challenges it poses to supply chain sustainability (SCS), this research aims to investigate the drivers of sustainable supply chain (SSC) to tackle supply chain disruptions in such a pandemic in the context of a particular emerging economy: Bangladesh. To a...
Chitra Lekha Karmaker, Ridwan Al Aziz, Tazim Ahmed, S. M. Misbauddin et al.
Chitra Lekha Karmaker, A.B.M. Mainul Bari, Md. Zahidul Anam, Tazim Ahmed et al.
To ensure business continuity in the post-COVID-19 era, decision-makers should reconfigure their traditional supply chain (SC) networks, assisted by the development and implementation of cutting-edge technologies. Recently, Industry 5.0 (I5.0) has gained increasing attention as a paradigm offering s...
Tazim Ahmed, Chitra Lekha Karmaker, Sumaiya Benta Nasir, Md. Abdul Moktadir et al.
The recent COVID-19 pandemic has significantly affected emerging economies’ global supply chains (SCs) by disrupting their manufacturing activities. To ensure business survivability during the current and post-COVID-19 era, it is crucial to adopt artificial intelligence (AI) technologies to renovate...
Sumaiya Benta Nasir, Tazim Ahmed, Chitra Lekha Karmaker, Syed Mithun Ali et al.
Purpose The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic has severely disrupted the operations of global supply chains (SCs) providing an opportunity for decision-makers to rethink and tune their existing strategies. To tackle the impacts caused by such a pandemic, this study ...
Binoy Debnath, A.B.M. Mainul Bari, Syed Mithun Ali, Tazim Ahmed et al.
Sustainable waste management (SWM) is an important goal for the plastic manufacturing industry, which is aiming toward enhancing its economic, environmental, and social sustainability in recent years. However, plastic manufacturing industries in developing countries like Bangladesh are yet to establ...
Md. Fahim Bin Alam, Saifur Rahman Tushar, Tazim Ahmed, Chitra Lekha Karmaker et al.
Chitra Lekha Karmaker, Tazim Ahmed
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 ...
Tasnimul Quader Tazim, Md. Kawsar, Md. Sahadat Hossain, Newaz Mohammed Bahadur et al.
Materials with a minimum of one dimension less than 100 nanometers (nm) are referred to as nanomaterials (NMs), granting them unique and intriguing properties due to their minimal size. NMs exhibit unique thermal, magnetic, optical, and chemical properties that distinguish them significantly from la...
Rakesh Roy, Sourav Kumar Ghosh, Tanvir Ibna Kaisar, Tazim Ahmed et al.
The effect of four controllable input process parameters of AISI 4140 steel, cross-feed, workpiece velocity, wheel velocity, and the depth of cut were experimentally investigated under dry and wet conditions. Three responses, contact temperature, material removal rate (MRR), and machining cost durin...
Tazim Ahmed, Chitra Lekha Karmaker, Sumaiya Benta Nasir, Md. Abdul Moktadir
Purpose The emerging markets are facing a lot of risks and disruptions across their supply chains (SCs) due to the deadly coronavirus disease 2019 (COVID-19) pandemic. To mitigate the significant post-COVID-19 consequences, organizations should modify their existing strategies and focus more on the ...
Tazim Ahmed, A.S.M. Hoque, Chitra Lekha Karmaker, Shamsuddin Ahmed
Tazim Ahmed, Parveen Sharma, Chitra Lekha Karmaker, Sumaiya Nasir
In this study, the warpage prediction models have been developed for an injection molded PVC component named a drip chamber. Two popular and widely used ensemble machine learning algorithms, namely random forest and gradient boosted regression tree have been used to develop the predictive models. 40...
Hasin Md. Muhtasim Taqi, S. M. Shafaat Akhter Nur, Sheak Salman, Tazim Ahmed et al.
Md. Tazimul Hoque, Ashraful Islam, Eshtiak Ahmed, Khondaker A. Mamun et al.
Vector or numeric representation of text documents has been a revolution in natural language processing as it represents similar parts of text in such a way that they are very close to each other, making it very easy to classify or find similarities among them. These vectors also represent the way w...