Artificial intelligence applications in supply chain management

M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

A review of fuzzy AHP methods for decision-making with subjective judgements

Y Liu, CM Eckert, C Earl - Expert systems with applications, 2020 - Elsevier
Abstract Analytic Hierarchy Process (AHP) is a broadly applied multi-criteria decision-
making method to determine the weights of criteria and priorities of alternatives in a …

A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities

H Kim, H Choi, H Kang, J An, S Yeom… - … and sustainable energy …, 2021 - Elsevier
In recent years, smart cities have emerged with energy conservation systems for managing
energy in cities as well as buildings. Although many studies on energy conservation systems …

Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model

F Ecer, D Pamucar - Journal of cleaner production, 2020 - Elsevier
In sustainable supply chain management (SSCM), triple bottom line (TBL) of sustainability
(economic, social, and environmental) are considered when selecting the suppliers. In this …

Exploring the circular economy paradigm: A natural resource-based view on supplier selection criteria

C Münch, LA Benz, E Hartmann - Journal of Purchasing and Supply …, 2022 - Elsevier
The paradigm of circular economy and the transfer of its principles to supply chain
management has recently received much attention from researchers and practitioners …

A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains

AK Nasr, M Tavana, B Alavi, H Mina - Journal of Cleaner production, 2021 - Elsevier
Maximizing the value of resources and producing less waste are strategic decisions
affecting sustainability and competitive advantage. Sustainable closed-loop supply chains …

Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research

F Naz, A Kumar, A Majumdar, R Agrawal - Operations Management …, 2022 - Springer
The challenging situations and disruptions that occurred due to the outbreak of the COVID-
19 pandemic have created a severe need for supply chain resiliency (SCR). There has been …

Smart manufacturing: Characteristics, technologies and enabling factors

S Mittal, MA Khan, D Romero… - Proceedings of the …, 2019 - journals.sagepub.com
The purpose of this article is to collect and structure the various characteristics, technologies
and enabling factors available in the current body of knowledge that are associated with …

[HTML][HTML] AHP-express: A simplified version of the analytical hierarchy process method

JE Leal - MethodsX, 2020 - Elsevier
This work presents in detail a simplified method for the application of the analytic hierarchy
method (AHP) that aims to calculate the priorities of each alternative against a set of criteria …

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

G Wang, A Gunasekaran, EWT Ngai… - International journal of …, 2016 - Elsevier
The amount of data produced and communicated over the Internet is significantly increasing,
thereby creating challenges for the organizations that would like to reap the benefits from …