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Related Experiment Video

Updated: Jan 13, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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A hybrid differential evolution algorithm for distributed assembly flexible job shop scheduling with batch delivery

ShengWen Zhou1,2, Shuai Han3, Ming Yang4

  • 1School of Mechanical and Electrical Engineering, Hubei Polytechnic University, Huangshi, 435003, Hubei, People's Republic of China.

Scientific Reports
|January 6, 2026
PubMed
Summary

This study introduces a batch delivery strategy for regional building material demand, optimizing workshop scheduling and inventory costs. A novel hybrid algorithm effectively solves this complex production scheduling problem.

Keywords:
Batch deliveryDifferential evolution algorithmDistributed assembly flexible workshop operation schedulingVariable neighborhood local search

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Area of Science:

  • Operations Research
  • Industrial Engineering
  • Supply Chain Management

Background:

  • Regional variations in customer demand for building materials present challenges for equipment group production.
  • Efficient scheduling and inventory management are critical for distributed assembly flexible workshops.
  • Balancing batch delivery and inventory costs is a complex optimization problem.

Purpose of the Study:

  • To develop a mathematical model for scheduling distributed assembly flexible workshops considering batch delivery and inventory costs.
  • To propose an efficient algorithm for solving the complex production scheduling problem.
  • To design a maximum batch strategy tailored to the characteristics of batch delivery.

Main Methods:

  • Establishment of a mathematical model for workshop scheduling, batch delivery, and inventory costs.
  • Development of a hybrid differential evolution algorithm integrated with Variable Neighborhood Search (VNS).
  • Design of a maximum batch strategy based on completion time differences.

Main Results:

  • The proposed hybrid differential evolution-VNS algorithm demonstrates superior performance in solving the scheduling problem.
  • The maximum batch strategy effectively addresses the characteristics of batch delivery.
  • Comparative experiments validate the algorithm's effectiveness and efficiency.

Conclusions:

  • The hybrid algorithm offers a robust solution for complex production scheduling problems in equipment manufacturing.
  • The batch delivery strategy and associated optimization model improve inventory cost management.
  • This research provides valuable insights for optimizing distributed manufacturing systems with regional demand patterns.