RETRACTED ARTICLE: Production scheduling of off-site prefabricated construction components considering sequence...

Area of Science:

• Construction Management
• Operations Research
• Industrial Engineering

Background:

• Growing environmental concerns and resource depletion necessitate sustainable construction practices.
• Prefabricated construction enhances productivity but faces on-time production challenges.
• Existing scheduling theories inadequately address sequence-dependent due dates in precast manufacturing.

Purpose of the Study:

• To propose a novel scheduling approach for precast component production.
• To minimize total weighted earliness and tardiness considering sequence-dependent due dates.
• To address uncertainties in stochastic production environments.

Main Methods:

• Development of three integrated simulation-optimization algorithms.
• Utilizing metaheuristic frameworks: Genetic Algorithm (GA), Differential Evolution (DE), and Imperialist Competitive Algorithm (ICA).
• Employing simulation methods within metaheuristics to handle production complexities.

Main Results:

• Computational tests evaluated the performance of the proposed algorithms.
• The integrated DE-simulation approach demonstrated superior performance.
• Effectiveness of simulation-optimization in addressing stochastic production problems was confirmed.

Conclusions:

• The proposed DE-simulation method offers an effective solution for scheduling precast components.
• This approach can improve on-time delivery and reduce production inefficiencies.
• The study contributes a new perspective to scheduling theory for complex manufacturing systems.