Evaluating service upgrade in ports: The implication of consumer experience in the new maritime silk road DOI
Jihong Chen,

Tingfang Li,

Huida Zhao

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 261, P. 107533 - 107533

Published: Dec. 30, 2024

Language: Английский

Adjustment strategies and chaos in duopoly supply chains: The impacts of carbon trading markets and emission reduction policies DOI
Ran Wu, Ming Li, Feini Liu

et al.

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 95, P. 103482 - 103482

Published: Aug. 2, 2024

Language: Английский

Citations

11

The transformative potential of blockchain technology in developing green supply chain: An evolutionary perspective on complex networks DOI

Ting Yang,

Chaoqun Ma, Xianhua Mi

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 197, P. 110548 - 110548

Published: Sept. 3, 2024

Language: Английский

Citations

9

Optimal control approach for solving a supply chain problem under variable demand and emissions tax regulation with an unknown production rate DOI
Fleming Akhtar, Hachen Ali, Md. Al‐Amin Khan

et al.

Frontiers of Engineering Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

1

Implementations of AI technology and profit-sharing contract for sustainability development and customer experience improvement: A differential game approach DOI
Rajkishore Mardyana, Gour Chandra Mahata

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126920 - 126920

Published: March 1, 2025

Language: Английский

Citations

0

Game strategy analysis on E-commerce platform supply chain with shared logistics service: A chaos perspective DOI
Yuanyuan Zhang, Shaochuan Fu, Shucheng Fan

et al.

Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 499, P. 129414 - 129414

Published: March 23, 2025

Language: Английский

Citations

0

Analysis and research on the multi-factor impact of electric vehicle charging/swapping market pricing mechanism DOI Creative Commons

Zihua Ye,

Hai Zhang, Taoyong Li

et al.

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

With the transformation of global energy structure and increasing awareness environmental protection, electric vehicle (EV) market is developing rapidly, rational design pricing mechanism charging/swapping has become critical. This study aims to analyze multiple factors that affect propose corresponding strategies. The research background section outlines rapid development industry its strong demand for charging infrastructure. collects operation data on market, including location stations, time, electricity price, user behavior, etc. Geographical a significant impact prices. Charging stations in central urban areas have an average price about 20% higher than suburban sites due land costs. time also important factor affecting price. During peak hours (e.g., 6 pm–9 pm), prices generally rise concentrated by users are, average, 30% during low hours. User behavior particular Users who opt fast-charging services typically pay fee, 50% regular services. In battery swap mode, such as investment costs, rental fees, losses station will all Through simulation analysis station, it found when cost change 10%, respectively, net life-cycle income 25% 15%, showing are key economic benefits station.

Language: Английский

Citations

0

Product bundling and substitution recommendation system: Facilitating marketing improvement strategy of retail business DOI Open Access
Ellysa Tjandra,

Liliana Liliana

AITI, Journal Year: 2025, Volume and Issue: 22(1), P. 29 - 45

Published: March 22, 2025

A retail store is a place where variety of everyday items are sold. Supermarkets need to use different tactics sell their products and attract consumers. According an interview with employee Supermarket X, one strategy supermarkets bundle products. This involves combining two or more into package selling them at discounted price. sometimes help choosing the finding similar due limited stock. Based on problem description, it can be inferred that supermarket system will utilize Apriori algorithm for creating product bundling Technique Order Preference by Similarity Ideal Solution (TOPSIS) method showcase predict if any running low The system's performance has been evaluated through trials validation supermarket. findings showed they were able determine which may included in this packaging automation system. results promising, indicating replacement aid lowering inventory goods not doing well.

Language: Английский

Citations

0

Low-carbon strategy analysis in a construction supply chain considering government subsidies and contract design DOI
Cheng Fu, Wei Yu, Yan Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143326 - 143326

Published: Aug. 5, 2024

Language: Английский

Citations

2

Supply chain low-carbon cooperation under the partially paid carbon allowances policy: a dynamic perspective DOI

Lei Dou,

Ying Dai, Han Song

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Dec. 21, 2024

The transition from free towards partially paid carbon allowances allocation under the cap-and-trade is reshaping industrial practices. This study constructs a supply chain model involving high-emission supplier and manufacturer to analyse low-carbon performance policy effectiveness dynamic perspective. To address production bottlenecks caused by allowance constraints, we propose an innovative cooperative approach where surplus are transferred manufacturer, along with joint investments in emission reduction. necessary conditions for achieving such cooperation explored. We find that despite potential disincentives allowances, policymakers can stimulate reduction tightening when auction price sufficiently high. When improves investment, accumulated scenarios of high market demand. However, later stages these gradually decrease until exhausted due declining efficiency technology over time. Based on sustainable accumulation successful also depends unit profit latitude product sales maturity technology. Numerical examples provide comprehensive analysis temporal policy-related effects performance.

Language: Английский

Citations

1

Research on complex dynamic behavior of automakers based on complex system theory DOI Creative Commons
Jinhuan Tang,

Xinying Si,

Qiong Wu

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0314899 - e0314899

Published: Dec. 6, 2024

"Prevent minor issues before they become major problems, and prepare for the future." This study utilizes complex system theory to introduce a nonlinear dynamic examining production emission reduction strategies of new energy vehicle (NEV) gasoline (GV) manufacturers under dual credit (DC) policy over long-term game process. By considering delays, we analyze behaviors within duopoly automotive system, including stable regions, bifurcation, chaotic attractors, Largest Lyapunov exponent (LLE). The results show that: (1) As carbon adjustment parameters increase, decision-making both automakers can slip into disorder, posing risk disruption industry. (2) In GVs’ adjustments do not affect either NEVs or GVs, while demonstrate greater flexibility in compared GVs. (3) industry will likely benefit from delay decisions that could help stabilize automobile market. provides theoretical support smooth transformation old driving forces

Language: Английский

Citations

0