Coordination mechanism of construction industry supply chain based on data elements.

Area of Science:

• Supply Chain Management
• Construction Management
• Operations Research

Background:

• Construction supply chains often face coordination inefficiencies.
• Data integration in decision-making is crucial for optimization.
• Existing models may not fully address contractual coordination.

Purpose of the Study:

• To develop a data-driven approach for improving construction supply chain coordination.
• To design and evaluate cost-sharing and profit-sharing contracts.
• To enhance collaboration and profitability within the supply chain.

Main Methods:

• Development of a two-level supply chain model (core enterprise and suppliers).
• Analysis in a non-contractual environment to identify inefficiencies.
• Design and application of cost-sharing and profit-sharing contracts.
• Verification through case studies and numerical simulations.

Main Results:

• Non-contractual environments show significant coordination inefficiencies.
• Contractual models (cost-sharing, profit-sharing) substantially improve coordination.
• Enhanced collaboration, optimized resource allocation, and increased profitability observed.

Conclusions:

• Integrating data elements with contractual mechanisms is key to effective supply chain coordination.
• The proposed model offers a novel methodology for construction supply chain management.
• The approach leads to improved performance and stakeholder benefits.