Applications of artificial intelligence in inventory management: A systematic review of the literature
Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …
must be able to effectively manage their supply chains to achieve high quality, increased …
[HTML][HTML] A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
M Elahi, SO Afolaranmi, JL Martinez Lastra… - Discover Artificial …, 2023 - Springer
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
The role of artificial intelligence in supply chain management: mapping the territory
The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …
The application of discrete event simulation and system dynamics in the logistics and supply chain context
AA Tako, S Robinson - Decision support systems, 2012 - Elsevier
Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches
widely used as decision support tools in logistics and supply chain management (LSCM). A …
widely used as decision support tools in logistics and supply chain management (LSCM). A …
A cooperative advertising collaboration policy in supply chain management under uncertain conditions
Many industries are facing big challenges to design supply chains in a way to maximize the
profit and meet the heightened expectations of the customer. This new era entirely relies on …
profit and meet the heightened expectations of the customer. This new era entirely relies on …
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
CL Chen, WC Lee - Computers & Chemical Engineering, 2004 - Elsevier
A multi-product, multi-stage, and multi-period scheduling model is proposed in this paper to
deal with multiple incommensurable goals for a multi-echelon supply chain network with …
deal with multiple incommensurable goals for a multi-echelon supply chain network with …
A typology and literature review on stochastic multi-echelon inventory models
We develop a typology for multi-echelon inventory management. The typology is used to
classify and review the extensive research of multi-echelon inventory management under …
classify and review the extensive research of multi-echelon inventory management under …
Improving SMEs performance through supply chain flexibility and market agility: IT orchestration perspective
S Benzidia, N Makaoui - Supply chain forum: An international …, 2020 - Taylor & Francis
In a context of competitive pressure and uncertain socioeconomic change, this research
examines a key component of successful business performance: the capacity to orchestrate …
examines a key component of successful business performance: the capacity to orchestrate …
Methodology for supply chain disruption analysis
Given the size, complexity and dynamic nature of many supply chains, there is a need to
understand the impact of disruptions on the operation of the system. This paper presents a …
understand the impact of disruptions on the operation of the system. This paper presents a …
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
In today's global marketplace, individual firms do not compete as independent entities rather
as an integral part of a supply chain. This paper proposes a fuzzy mathematical …
as an integral part of a supply chain. This paper proposes a fuzzy mathematical …