A Multi-objective Hospital Operating Room Planning and Scheduling Problem Using Compromise Programming

2017 ◽  
pp. 379-390
Author(s):  
Alejandra Duenas ◽  
Christine Di Martinelly ◽  
G. Yazgı Tütüncü ◽  
Joaquin Aguado
Keyword(s):  
Operating Room ◽  
Compromise Programming ◽  
Scheduling Problem ◽  
Planning And Scheduling ◽  
Multi Objective ◽  
Operating Room Planning

Collaborative Operating Room Planning and Scheduling

2017 ◽  
Vol 29 (3) ◽  
pp. 558-580 ◽  
Author(s):  
Vahid Roshanaei ◽  
Curtiss Luong ◽  
Dionne M. Aleman ◽  
David R. Urbach
Keyword(s):  
Operating Room ◽  
Planning And Scheduling ◽  
Operating Room Planning

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

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092523 ◽  
Author(s):  
Xiaoyu Wen ◽  
Xinyu Li ◽  
Liang Gao ◽  
Kanghong Wang ◽  
Hao Li
Keyword(s):  
Process Planning ◽  
Optimization Algorithm ◽  
Honey Bees ◽  
Processing Time ◽  
Intelligent Manufacturing ◽  
Scheduling Problem ◽  
Integrated Process ◽  
Due Date ◽  
Planning And Scheduling ◽  
Multi Objective

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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