Introduction

Li, W. D.; Wang, S.

doi:10.1007/978-3-319-73488-0_1

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…A multiproduct single-stage batch process plant with parallel units and limited resources was considered in this research. Li 27 studied IPPS model for sustainable manufacturing and remanufacturing. Dai et al 28 established an energy-saving IPPS model, in which the energy consumption objectives included the total energy consumption of all working machines in the manufacturing system during the production and nonproduction phases.…”

Section: Literature Reviewmentioning

confidence: 99%

Modified honey bees mating optimization algorithm for multi-objective uncertain integrated process planning and scheduling problem

Wen

Gao

et al. 2020

International Journal of Advanced Robotic Systems

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The new technology of intelligent manufacturing makes the data of process planning and shop scheduling easier to interconnect, and the integration optimization of different manufacturing processes is an important technology to ensure the implementation of intelligent manufacturing. Integrated process planning and scheduling is a significant research focus in recent years, which could improve the performance of manufacturing system. At present, the research on integrated process planning and scheduling is insufficient to consider the multi-objective and uncertain characteristics widely existing in real manufacturing environment. Therefore, multi-objective integrated process planning and scheduling problem with uncertain processing time and due date is addressed in this article. The mathematical model of multi-objective uncertain integrated process planning and scheduling problem with uncertain processing time and fuzzy due date is established based on fuzzy set, in which the calculation method of uncertainty measurement objective is designed. An effective modified honey bees mating optimization algorithm has been designed to solve the proposed model. Queens set is constructed to maintain the non-dominated solutions found in the optimization process. The calculation method of mating probability between drone and queen bee based on Euclidean distance is designed. Fuzzy operators were utilized to evaluate fitness, judge the non-dominated relationship, and decode the scheduling solution. Different instances were designed and carried out to test the performance of the proposed method. The results show that the proposed method is very effective for solving multi-objective uncertain integrated process planning and scheduling.

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Section: Literature Reviewmentioning

confidence: 99%