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
What is the impact of demand patterns on integrated online-offline and buy-online-pickup in-store (BOPS) retail in a smart supply chain management? DOI
Amalendu Singha Mahapatra,

Shahana Sengupta,

Arup Dasgupta

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104093 - 104093

Published: Oct. 10, 2024

Language: Английский

Citations

6
Big Data Analytics, GHRM Practices, and Green Digital Learning Paving the Way towards Green Innovation and Sustainable Firm Performance DOI Creative Commons
Mohammad Said Ibrahim Alshuaibi, Adeeb Alhebri, Sajjad Nawaz Khan

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(4), P. 100396 - 100396

Published: Oct. 5, 2024

Language: Английский

Citations

5
Factors affecting adoption of green practices by food firms: evidences from the World Bank Enterprises Survey DOI

Mohammad Asif,

Aruna Dhamija, Waseem Ahmad Khan

et al.

Clean Technologies and Environmental Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

Citations

0
The Transformative Role of Industry 4.0 in Supply Chains: Exploring Digital Integration and Innovation in the Manufacturing Enterprises DOI Creative Commons
Md Mehedi Hasan Emon, Tahsina Khan

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2025, Volume and Issue: unknown, P. 100516 - 100516

Published: March 1, 2025

Language: Английский

Citations

0
Artificial Intelligence and Big Data Analytics: Transforming Supply Chain and Sustainable Manufacturing to Achieve SDGs Agenda DOI Creative Commons

Gohar Mahmood,

Adnan Shahid Khan, Shahid Mahmood

et al.

Sustainable Business and Society in Emerging Economies, Journal Year: 2025, Volume and Issue: 7(1)

Published: March 31, 2025

Purpose: The purpose of this work is to understand the changes brought by artificial intelligence (AI) and big data analytics (BDA) supply chain management (SCM) sustainable manufacturing (SM) in developing countries context. It seeks identify key enablers, advantages, challenges implementing those technologies toward advancement UN SDGs. Design/Methodology/Approach: Cross-sectional survey research method was adopted; specifically, structured questionnaires were administered 356 mid senior level managers various industrial organizations Pakistan. Hypothesis testing done using Partial Least Squares Structural Equation Modeling (PLS-SEM) determine relations between four variables, namely: AI, BDA, SCM, manufacturing. evaluation such drivers also involved proving demographic organizational factors as Technology Maturity Investment. Findings: This study further shows that AI BDA improve performance sustainability. can be pointed out has strongest direct effect on environmental efficiency waste saving. But there are certain limit adoption, budget issues, lack skilled IT people, culture goes against adoption. Implications/Originality/Value: paper presents important implications for policy makers well business strategists. require investment infrastructure development workforce human ability cope with change comes implementation these Two technologies. Such efforts enhance operational reliability, cost effectiveness sustainability environment. fills a gap literature providing empirical results from economy setting. helpful expand existing information about Industry 4.0 offer practical recommendations digitalization emerging economies.

Language: Английский

Citations

0
Synergizing CEO capability and green innovation intensity to drive ESG disclosure: insights from contemporaneous correlation techniques DOI
Timothy Masuni Nagriwum, Ummar Faruk Saeed,

Mohammed Awal Zingnaa Iddrisu

et al.

SN Business & Economics, Journal Year: 2025, Volume and Issue: 5(5)

Published: May 1, 2025

Language: Английский

Citations

0
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