Applications of artificial intelligence in inventory management: A systematic review of the literature

Ö Albayrak Ünal, B Erkayman, B Usanmaz - Archives of Computational …, 2023 - Springer
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 …

Deterministic and stochastic inventory models in production systems: a review of the literature

GH Vidal - Process Integration and Optimization for Sustainability, 2023 - Springer
Inventory modeling allows understanding and knowing the behavior of production systems,
based on the construction, solution and analysis of a representation of the real world, which …

Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

M Daroń - Production Engineering Archives, 2022 - sciendo.com
Appropriate logistics planning is a key factor influencing the quality and efficiency of
processes in manufacturing companies. Logistics planning can be defined as the process of …

A versatile multi-agent reinforcement learning benchmark for inventory management

X Yang, Z Liu, W Jiang, C Zhang, L Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn
within a shared environment. This paradigm is applicable to various industrial scenarios …

A mathematical model to investigate the interactive effects of important economic factors on the behaviors of retailers

A Khakbaz, EB Tirkolaee - Annals of Operations Research, 2022 - pmc.ncbi.nlm.nih.gov
Cost management is a key step to the success of any logistics system and supply chain
management. Inventory costs are an important part of logistics costs which are highly …

Integrating occupational health and safety risk and production economics for sustainable SME growth

Z Ji, D Pons, Z Su, Z Lyu, J Pearse - Sustainability, 2022 - mdpi.com
Small and medium enterprises (SMEs) in the manufacturing industry normally arise as a
result of product innovations. Transiting and growing into large organizations is a critical …

[PDF][PDF] SIMULATION BASED PERFORMANCE IMPROVEMENT: A CASE STUDY ON AUTOMOTIVE INDUSTRIES.

SK Thomas, A Ali, A AlArjani, EA Attia - International Journal of …, 2022 - ijsimm.com
In automotive industries, variable customer needs' increase the competition amongst
enterprises. However, manufacturers are struggling to complete the customer demand on …

Capabilities to create new value for business sustainability: a retailer case study from Malaysia

CYR Chan, S Zailani - Benchmarking: An International Journal, 2024 - emerald.com
Purpose The lack of a direct link between business value and sustainability is a critical
roadblock to truly embedding sustainability in business strategies. Before launching the …

A system-dynamic based simulation and Bayesian optimization for inventory management

S Maitra - arXiv preprint arXiv:2402.10975, 2024 - arxiv.org
Inventory management is a fundamental challenge in supply chain management. The
challenge is compounded when the associated products have unpredictable demands. This …

Optimization of the vendor's inventory model with multisupplier and multiretailer using fuzzy parameters

H Garg, S Chandrasekar, R Srinivasan… - … Journal of Intelligent …, 2022 - Wiley Online Library
This paper explores the multi‐item vendor's inventory (VI) model in which the vendor
replenishes the products from various suppliers and satisfies the retailers' demand. Different …