[HTML][HTML] A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions

TS Deepu, V Ravi - International Journal of Information Management Data …, 2023 - Elsevier
Supply chain digitalization (SCD) significantly improves supply chain performance. This
article reviews the literature on the implementation and operational dimensions of SCD. The …

Global renewable energy development: Influencing factors, trend predictions and countermeasures

X Xu, Z Wei, Q Ji, C Wang, G Gao - Resources Policy, 2019 - Elsevier
Promoting the development and utilisation of renewable energy is the current trend of
energy policy in various regions. First, we divide the world into seven regions based on the …

A combined neural network model for commodity price forecasting with SSA

J Wang, X Li - Soft Computing, 2018 - Springer
Commodity price forecasting is challenging full of volatility, uncertainty and complexity. In
this paper, a novel modeling framework is proposed to predict the market price of commodity …

Multi-objective robust optimisation model for MDVRPLS in refined oil distribution

X Xu, Z Lin, X Li, C Shang, Q Shen - International Journal of …, 2022 - Taylor & Francis
At depots with refined oil shortage, arranging a reasonable distribution scheme with limited
supply affects operation costs, demand satisfaction rate of gasoline stations …

A compromise-typed variable weight decision method for hybrid multiattribute decision making

GF Yu, W Fei, DF Li - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
The purpose of this paper is to develop a compromise-typed variable weight decision
method for solving hybrid multiattribute decision making problems with multiple types of …

A complex path model for low-carbon sustainable development of enterprise based on system dynamics

W Zhang, M Zhang, S Wu, F Liu - Journal of Cleaner Production, 2021 - Elsevier
Enterprises are essential to the realization of sustainable development in human society.
However, there is still a lack of simulation models that can dynamically explain, predict and …

Multi-objective artificial bee colony algorithm for multi-stage resource leveling problem in sharing logistics network

X Xu, J Hao, Y Zheng - Computers & Industrial Engineering, 2020 - Elsevier
Multi-stage resource leveling problem in sharing logistics network is a multi-objective
optimization problem, which is strongly non-deterministic polynomial hard in open loop …

Cooperation and profit allocation in two-echelon logistics joint distribution network optimization

Y Wang, X Ma, M Liu, K Gong, Y Liu, M Xu… - Applied Soft Computing, 2017 - Elsevier
Collaborative two-echelon logistics joint distribution network can be organized through a
negotiation process via logistics service providers or participants existing in the logistics …

Cooperative artificial bee colony algorithm with multiple populations for interval multiobjective optimization problems

L Zhang, S Wang, K Zhang, X Zhang… - … on Fuzzy Systems, 2018 - ieeexplore.ieee.org
In practical engineering optimization problems (such as risk assessments), the parameters
of the objective functions can be intervals because of noise and uncertainty; however, such …

Fuzzy optimal allocation model for task–resource assignment problem in a collaborative logistics network

X Xu, J Hao, L Yu, Y Deng - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
Obtaining a multiresource allocation scheme for multitask influenced by uncertain factors is
a critical problem in a collaborative logistics network. This paper presents an optimal …