[HTML][HTML] Enhancing supply chain management with deep learning and machine learning techniques: A review

AM Khedr - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
Supply chain management (SCM) is crucial in establishing long-term partnerships that are
pivotal for achieving sustained business success. Effective SCM demands rigorous criteria …

Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review

N Jahani, A Sepehri, HR Vandchali, EB Tirkolaee - Sustainability, 2021 - mdpi.com
The fourth industrial revolution has significantly changed the traditional way of managing
supply chains. The applications of Industry 4.0 (I4. 0) technologies such as the Internet of …

Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach

D Pamucar, AE Torkayesh, S Biswas - Annals of Operations Research, 2023 - Springer
Due to the high necessity of medical face masks and face shields during the COVID-19
pandemic, healthcare centers dealing with infected patients have faced serious challenges …

Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model

MB Bouraima, Y Qiu, Ž Stević, V Simić - Socio-Economic Planning Sciences, 2023 - Elsevier
The long-term sustainability of the railway transportation system is determined by a set of
criteria that must be considered. For this reason, multi-criteria decision-making (MCDM) …

Sustainable material selection with crisp and ambiguous data using single-valued neutrosophic-MEREC-MARCOS framework

RSU Haq, M Saeed, N Mateen, F Siddiqui… - Applied Soft …, 2022 - Elsevier
Many industries around the globe are opting for environment-friendly and intelligent
solutions. In this regard, the materials and manufacturing sectors have also evolved beyond …

An interval-valued neutrosophic based MAIRCA method for sustainable material selection

RSU Haq, M Saeed, N Mateen, F Siddiqui… - … Applications of Artificial …, 2023 - Elsevier
A plethora of Multi-Criteria Decision-Making (MCDM) methods is available for selecting an
optimal material for a design problem with quantitative measurements. However, little …

Develo** a probabilistic decision-making model for reinforced sustainable supplier selection

K Koc, Ö Ekmekcioğlu, Z Işık - International Journal of Production …, 2023 - Elsevier
The competitive environment and recent regulations require corporations to implement
sustainable and reinforced solutions in their business operations and, thereby, sustainable …

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

O Rostami, M Tavakoli, AR Tajally, M GhanavatiNejad - Soft Computing, 2023 - Springer
Since the COVID-19 outbreak has led to drastic changes in the business environment,
researchers attempt to introduce new approaches to improve the capability and flexibility of …

A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain

M Yazdani, AE Torkayesh, P Chatterjee… - Socio-Economic …, 2022 - Elsevier
The concept of supply chain management (SCM) has transformed and evolved beyond the
simple rationality of benefit and economic viewpoints. With changing societal requirements …

[HTML][HTML] Analysis of industry 4.0 implementation in mobility sector: An integrated approach based on QFD, BWM, and stratified combined compromise solution under …

AE Torkayesh, M Yazdani, D Ribeiro-Soriano - Journal of Industrial …, 2022 - Elsevier
The role of new technologies in industrial and service sector is inevitable. Various sectors
like transport/mobility have decided to remodel and redesign their infrastructures by …