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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems.

Yanhe Jia1, Yaoyao Zhou1, Yaping Fu2

  • 1School of Economics and Management, Beijing Information Science & Technology University, Beijing, 100192, China.

Heliyon
|September 10, 2024
PubMed
Summary
This summary is machine-generated.

This study integrates furniture production and distribution for optimal supply chain performance. An advanced optimization method effectively minimizes production time and delivery delays for custom orders.

Keywords:
Brain storm optimizationDistributed flexible job shopIntegrated production and distribution schedulingVehicle routing problem

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Area of Science:

  • Operations Research
  • Supply Chain Management
  • Manufacturing Systems Engineering

Background:

  • The furniture industry faces challenges in optimizing production and distribution, especially with increasing global competition.
  • Distributed manufacturing offers a promising approach for flexible, cost-effective mass production.
  • Integrating job shop scheduling with distribution logistics is crucial for supply chain efficiency.

Purpose of the Study:

  • To develop an integrated model for the distributed flexible job shop and distribution problem.
  • To minimize key performance indicators: makespan (total production time) and total tardiness (late deliveries).
  • To introduce an effective optimization algorithm for this complex problem.

Main Methods:

  • Formulation of a mixed-integer mathematical programming model for the integrated problem.
  • Development and application of a multi-objective brain storm optimization algorithm.
  • Comparative analysis against three other advanced optimization methods.

Main Results:

  • The proposed integrated model effectively captures the complexities of distributed furniture production and delivery.
  • The multi-objective brain storm optimization algorithm demonstrated superior performance compared to existing methods.
  • Significant reductions in makespan and total tardiness were achieved through the proposed approach.

Conclusions:

  • The integration of distributed flexible job shop scheduling and distribution is vital for enhancing furniture supply chain performance.
  • The developed mathematical model and optimization algorithm offer a competitive and effective solution for minimizing production and delivery inefficiencies.
  • This research provides valuable insights for both academic understanding and practical application in the furniture manufacturing and logistics sectors.