A data-driven model for sustainable and resilient supplier selection and order allocation problem in a responsive supply chain: A case study of healthcare system

S Nayeri, MA Khoei, MR Rouhani-Tazangi… - … Applications of Artificial …, 2023 - Elsevier
This research attempts to study the Supplier Selection and Order Allocation Problem
(SSOAP) considering three crucial concepts, namely responsiveness, sustainability, and …

A multi-agent digital twin–enabled decision support system for sustainable and resilient supplier management

YL Li, YP Tsang, CH Wu, CKM Lee - Computers & Industrial Engineering, 2024 - Elsevier
Industry 4.0 is reshaping the manufacturing landscape, bringing about revolutionary
changes in both product manufacturing and collaborative interactions among value chain …

Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework

F Zarei-Kordshouli, MM Paydar, S Nayeri - Clean Technologies and …, 2023 - Springer
The crucial role of sustainable development and resiliency strategies is undeniable in
today's competitive market space, especially after the Coronavirus outbreak. Hence, this …

A hybrid data-driven model for project portfolio selection problem based on sustainability and strategic dimensions: a case study of the telecommunication industry

AA ForouzeshNejad - Soft Computing, 2024 - Springer
Project portfolio selection is a multi-criteria decision-making process that is always
accompanied by important decisions with uncertainty. Considering the existence of different …

A data-driven decision-making approach for evaluating the projects according to resilience, circular economy and industry 4.0 dimension

S Nessari, M Ghanavati-Nejad, F Jolai… - … Applications of Artificial …, 2024 - Elsevier
Multi-industry organizations constantly define new projects for development and
progression. However, the noteworthy point is that there are many options for defining new …

[HTML][HTML] Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods

I Masudin, IZ Habibah, RW Wardana, DP Restuputri… - Logistics, 2024 - mdpi.com
Background: This research endeavors to enhance supplier selection processes by
combining the Analytic Network Process (ANP) and Technique for Order of Preference by …

A data-driven robust decision-making model for configuring a resilient and responsive relief supply chain under mixed uncertainty

B Javan-Molaei, R Tavakkoli-Moghaddam… - Annals of Operations …, 2024 - Springer
The crucial role of the Relief Supply Chains (RSCs) in the response phase of disaster
management is undeniable. However, the literature shows that the simultaneous …

A Novel Decision-Making Framework to Evaluate Rail Transport Development Projects Considering Sustainability under Uncertainty

M Noruzi, A Naderan, JA Zakeri, K Rahimov - Sustainability, 2023 - mdpi.com
One of the constant concerns in public and private organizations is choosing a project from
among the multitude of potential projects to be implemented. Due to the limited resources in …

A Hybrid Data-Driven Model to Evaluate the Maturity Level of Organizational Project Management Based on Machine Learning Algorithms

AA ForouzeshNejad, F Arabikhan - Available at SSRN 4643741 - papers.ssrn.com
Organizations always want to move towards progress and achieve excellence and primary
goals based on a roadmap. Nowadays, in most service organizations, the advancement of …

[PDF][PDF] 16-Étude des Critères de Sélection des Fournisseurs de l'industrie pharmaceutique dans le Contexte Post-COVID-19 by

T Salma, B Sana, B Mariem - Healthcare Systems Day 2024, 2024 - hal.science
16-Étude des Critères de Sélection des Fournisseurs de l’industrie pharmaceutique dans le
Contexte Post-COVID-19 by Page 57 Salma Tlili, Sana Bouajaja et Mariem Belghith Healthcare …