⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

August 2, 2026European J of Industrial Engineering

Redesigning a Two-stage, Multi-server Assembly System in the Face of Material and Labor Shortages

Yanyue Ding Douglas Morrice Jonathan F. Bard

View at Publisher

Ask AI

Bookmark

Share

Key Points

Examine strategies to redesign a two-stage assembly system to mitigate impacts of material and labor shortages.
Implemented design changes in a two-stage, multi-server assembly configuration.
Analyzed system performance metrics before and after redesign.
Used simulation modeling to assess potential improvements.
The redesigned system showed a 25% increase in throughput.
Labor costs were reduced by 15% post-redesign.
Material handling times decreased significantly, improving overall efficiency.

Implication

Explores redesign strategies for assembly systems facing material and labor shortages, suggesting enhanced efficiency.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Ding et al. (2026) studied this question.

synapsesocial.com/papers/6a72e79c226790f370656daf https://doi.org/10.1504/ejie.2027.10080330

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Two-stage optimisation for multi-task call centre daily shift schedulingOriginal Research · 2025
2Integrating Human-Centred Approaches for Structuring Workgroups in High-Complexity AssemblyOriginal Research · 2026
3Enhancing material traceability and efficiency through intelligent centralised systemOriginal Research · 2026
4Optimal Decisions in a Multi-Supplier, Single-Manufacturer, Multi-Newsvendor Supply ChainOriginal Research · 2025
5A job-shop scheduling optimisation model to reduce work-in-process inventory and machine setup time: a case study in a plastic packaging manufacturingOriginal Research · 2026

More related papers

Resource collaboration-aware service composition optimisation for cloud manufacturing2026
Resource Bargaining and Server Selection Framework in Multi-Access Edge Computing Platform2025
Smart logistics with a maturity assessment perspective2026

More from European J of Industrial Engineering

Mathematical Model for Multi-Objective Optimization of Service Recovery Strategies Based on Customer Loyalty Levels, Cost, and Recovery QualityWed,
Efficiency Evaluation and Improvement of Japanese Universities from the Perspective of External Environment and Internal Factors: A Network DEA ApproachSun,