The International Journal of Advanced Manufacturing Technology

, Volume 66, Issue 9, pp 1907-1920

First online:

Model and algorithm for fuzzy joint replenishment and delivery scheduling without explicit membership function

  • Lin WangAffiliated withSchool of Management, Huazhong University of Science & Technology Email author 
  • , Cai-Xia DunAffiliated withSchool of Management, Huazhong University of Science & Technology
  • , Chi-Guhn LeeAffiliated withDepartment of Mechanical and Industrial Engineering, University of Toronto
  • , Qing-Liang FuAffiliated withSchool of Management, Huazhong University of Science & Technology
  • , Yu-Rong ZengAffiliated withSchool of Information Management, Hubei University of Economics

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We study a joint replenishment and delivery scheduling (JRD) problem in which a central warehouse serves n-retailers in the presence of vague operational conditions such as ordering cost and inventory holding cost. In the proposed fuzzy set-based approach, an exact membership function is not assumed and instead can be approximated using piecewise linear functions based on alpha level sets because of their easy handling and efficiency. Subsequently, the fuzzy total cost is defuzzified by the widely used signed distance method to ranking fuzzy numbers. However, due to the JRD's difficult mathematical properties, efficient and effective solution procedures for the problem have eluded researchers. To find an optimal solution, an effective and efficient differential evolution (DE) algorithm is designed. After determining the appropriate parameters of the DE by parameter tuning test, the effectiveness of the DE is verified by numerical examples. We compare the DE with the available best approach and results show that DE can solve this non-deterministic polynomial hard problem in a robust way with a high convergence rate and low average error.


Fuzzy sets Joint replenishment Delivery scheduling Signed distance Differential evolution algorithm