• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2026, Vol. 62 ›› Issue (11): 61-75.doi: 10.3901/JME.260589

Previous Articles    

Indicator System and Evaluation Decision-making for Sustainable Manufacturing Scheduling Based on ProdSI-FANP

WANG Junkai1, YAN Guichen1, YOU Shiqi1, WANG Haixuan1, ZHANG Peng1, QIAO Fei1, WANG Lihui2   

  1. 1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804;
    2. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm 25175 Sweden
  • Received:2025-06-05 Revised:2025-11-06 Published:2026-07-29

Abstract: Aiming at the lack of comprehensive sustainability evaluation in the current production scheduling field, the research focuses on the universal sustainable scheduling index system and the multi-dimensional sustainability evaluation decision-making method of production scheduling. First, on the basis of index extraction and screening, the quantitative description analysis method with unified symbolic paradigm is proposed. Secondly, starting from the triple bottom line (TBL) principles, based on the product sustainability index (ProdSI), a five-tiered production scheduling three-dimensional indicator system is constructed. Thirdly, an improved network analysis method based on fuzzy theory (FANP) is designed to better reflect the subjective bias of experts in the weighting and scoring of complex systems, and the ProdSI-FANP algorithm architecture is proposed to realize the comprehensive sustainability evaluation of dispatching schemes. Finally, the evaluation effect is analyzed for typical flexible job shop production scenarios. The results show that the proposed system and evaluation method can provide theoretical support and program reference from multiple perspective for the evaluation decision and sustainable transformation of production scheduling in manufacturing enterprises.

Key words: sustainability, production scheduling, indicator system, network analysis method, fuzzy theory

CLC Number: