A systematic review of machine learning in logistics and supply chain management: current trends and future directions

M Akbari, TNA Do - Benchmarking: An International Journal, 2021 - emerald.com
Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …

Making agency theory work for supply chain relationships: a systematic review across four disciplines

J Matinheikki, K Kauppi, A Brandon–Jones… - International Journal of …, 2022 - emerald.com
Purpose Contemporary supply chain relationships inherently rely on delegation of work
between organizations and, thus, are subject to agency problems for which a wide range of …

Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network

RK Yadav, RP Mahapatra - Pervasive and Mobile Computing, 2022 - Elsevier
Clustering is one of the major techniques for maximizing the network lifetime in wireless
sensor networks (WSNs). Here, the sensor nodes (SNs) are grouped into clusters and the …

A new bi-objective green medicine supply chain network design under fuzzy environment: Hybrid metaheuristic algorithms

F Goodarzian, SF Wamba, K Mathiyazhagan… - Computers & industrial …, 2021 - Elsevier
This paper studies the design of the green medicine supply chain network under uncertainty,
which integrates allocation, location, production, distribution, routing, inventory, and …

Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain

A Kumar, RK Singh, S Modgil - Benchmarking: An International …, 2020 - emerald.com
Purpose This paper presents the concerns in agri-food supply chain. Further the research
investigates the role of information and communication technology (ICT) in agri-food supply …

Coordinating corporate social responsibility in a two-level supply chain under bilateral information asymmetry

M Vosooghidizaji, A Taghipour… - Journal of Cleaner …, 2022 - Elsevier
In this research, we study the problem of coordinating corporate social responsibility (CSR),
an extremely important issue of supply chains in practice and academia, in a dyadic supply …

Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor

CF Chien, YS Lin, SK Lin - International Journal of Production …, 2020 - Taylor & Francis
A semiconductor distributor that plays a third-party role in the supply chain will buy diverse
components from different suppliers, warehouse and resell them to a number of electronics …

Financing and operating strategies for blockchain technology-driven accounts receivable chains

C Wang, X Chen, X Xu, W Jin - European journal of operational research, 2023 - Elsevier
We focus on blockchain technology (BCT) adoption in a three-echelon supply chain in which
upstream sellers offer trade credits to capital-constrained downstream buyers, forming an …

Eliminate demand information disadvantage in a supplier encroachment supply chain with information acquisition

J Chen, H Pun, Q Zhang - European Journal of Operational Research, 2023 - Elsevier
The retailer, who is closer to customers, usually has more information on demand than its
manufacturer does. This paper focuses on a manufacturer's information acquisition strategy …

Revenue-sharing contracts in supply chains: a comprehensive literature review

N Bart, T Chernonog, T Avinadav - International Journal of …, 2021 - Taylor & Francis
Revenue sharing contracts (RSCs) have gained considerable popularity over the past two
decades—particularly among prominent platform distributors such as the Apple App Store …