Synchronized optimization of the logistics system of a tobacco high-bay warehouse under production task fluctuations DOI

Jie Gao,

Weidong Xie,

Dingke Shi

et al.

Engineering Research Express, Journal Year: 2024, Volume and Issue: 6(4), P. 045580 - 045580

Published: Dec. 1, 2024

Abstract Cigarette companies often utilize a logistics system where high-bay warehouse areas for semi-finished and finished tobacco products are located close together linked via trolley tracks. However, fluctuations in production tasks, such as adding new handling emergency orders, canceling existing can introduce challenges to production, including high storage capacity ratios limited transportation capacity. Therefore, this study proposes synchronized optimization method the warehouses designed improve efficiency. A allocation model is developed balance between two tackle ratios. The efficiency improved by minimizing stacker time optimizing shelf center of gravity, with warehouses’ serving key constraints. neural network introduced enhance predicting optimal number trolleys needed each functional area based on task volume, boosting overall Experimental analysis demonstrates that proposed coordinated operation enhances 36.82% 8%. This achieves cigarette enterprises designing shared coordination scheme locations trolleys. Lastly, effectively supports industry addressing dynamic demands provides valuable insights practical engineering applications.

Language: Английский

The Implications of Artificial Intelligence for Small and Medium-Sized Enterprises’ Sustainable Development in the Areas of Blockchain Technology, Supply Chain Resilience, and Closed-Loop Supply Chains DOI Open Access
Syed Abdul Rehman Khan, Adnan Ahmed Sheikh, Ibrahim Rashid Al Shamsi

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 334 - 334

Published: Jan. 4, 2025

In today’s fast-paced business settings, the metaverse as a shared marketplace has gained popularity and is helping businesses to develop crucial strategies in their pursuit of sustainable performance. However, lack understanding knowledge about effectiveness its related technologies creates barrier. Therefore, current study fills this gap uses organizational information-processing theory theoretical framework examine metaverse-related (artificial intelligence blockchain technology—BCT) direct indirect effects on performance, which no other examined. Using purposive sampling, sample data from 326 SMEs were gathered analyzed using partial least square structural equation modeling (PLS-SEM). This study’s findings revealed that AI capabilities are vital for information gathering, analyzing, decision-making context. BCT facilitates ensuring transparent, visible, traceable, immutable supply chain, helps make it more resilient improves closed-loop chain (CLSC) system with positive technological advancements significant increasing performance (SBP). help organizations understand potential benefits AI-enabled SMEs’ presence metaverse. The investigation provides strategy managers gain competitive advantage, robust, enhance overall

Language: Английский

Citations

3
Competing manufacturers blockchain technology adoption strategies for carbon emission misrepresentation under cap-and-trade regulation DOI
Wenxue Ran, Yong Duan

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110960 - 110960

Published: Feb. 1, 2025

Language: Английский

Citations

1
How can generative artificial intelligence improve digital supply chain performance in manufacturing firms? Analyzing the mediating role of innovation ambidexterity using hybrid analysis through CB-SEM and PLS-SEM DOI

Ayman wael Al-khatib,

Moh’d Anwer AL-Shboul,

Mais Khattab

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 78, P. 102676 - 102676

Published: Aug. 3, 2024

Language: Английский

Citations

7
Revisiting the Impacts of Green Purchasing Practices on Environmental and Economic Performances: A Case Study for the Marmara Region of Türkiye DOI Creative Commons
Ali Ibrahim Balin, Billür Engın Balın

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100464 - 100464

Published: Jan. 1, 2025

Language: Английский

Citations

0
What is the impact of green credit on technical innovation in renewable energy? The policy-accommodating practices of businesses DOI Creative Commons
Guang Chen, Junfeng Wang,

J.T. Kane

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101665 - 101665

Published: March 1, 2025

Language: Английский

Citations

0
Are advancements in renewable energy technologies being driven by the digital economy and financial structure? An overview of the key eight nations DOI

Yuwen Wu,

Ziqi Liu

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 59, P. 101679 - 101679

Published: March 25, 2025

Language: Английский

Citations

0
Optimizing natural resource management and global supply chains through digital innovation DOI
Imran Ahmad, Mohd Ziaur Rehman, Inayat Khan

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 217, P. 124187 - 124187

Published: May 2, 2025

Language: Английский

Citations

0
A literature review on green supply chain management for sustainable sourcing and distribution DOI Creative Commons
Dharmendra Hariyani, Poonam Hariyani, Sanjeev Kumar Mishra

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

3
Application of Optimization Models in Sustainable Supply Chain Management: A Systematic Review Based on PRISMA Guidelines DOI
Kaushal Kumar, Amit Kumar

Process Integration and Optimization for Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Language: Английский

Citations

2
Synchronized optimization of the logistics system of a tobacco high-bay warehouse under production task fluctuations DOI

Jie Gao,

Weidong Xie,

Dingke Shi

et al.

Engineering Research Express, Journal Year: 2024, Volume and Issue: 6(4), P. 045580 - 045580

Published: Dec. 1, 2024

Abstract Cigarette companies often utilize a logistics system where high-bay warehouse areas for semi-finished and finished tobacco products are located close together linked via trolley tracks. However, fluctuations in production tasks, such as adding new handling emergency orders, canceling existing can introduce challenges to production, including high storage capacity ratios limited transportation capacity. Therefore, this study proposes synchronized optimization method the warehouses designed improve efficiency. A allocation model is developed balance between two tackle ratios. The efficiency improved by minimizing stacker time optimizing shelf center of gravity, with warehouses’ serving key constraints. neural network introduced enhance predicting optimal number trolleys needed each functional area based on task volume, boosting overall Experimental analysis demonstrates that proposed coordinated operation enhances 36.82% 8%. This achieves cigarette enterprises designing shared coordination scheme locations trolleys. Lastly, effectively supports industry addressing dynamic demands provides valuable insights practical engineering applications.

Language: Английский

Citations

0