Generalized order acceptance and scheduling problem with batch delivery: Models and metaheuristics

2021 ◽  
Vol 134 ◽  
pp. 105414
Author(s):  
İstenç Tarhan ◽  
Ceyda Oğuz
Keyword(s):  
Scheduling Problem ◽  
Order Acceptance ◽  
Batch Delivery ◽  
Order Acceptance And Scheduling ◽  
Delivery Models ◽  
Generalized Order

Order acceptance and scheduling with batch delivery

2017 ◽  
Vol 107 ◽  
pp. 100-104 ◽  
Author(s):  
Dakui Jiang ◽  
Jiayin Tan ◽  
Bo Li
Keyword(s):  
Order Acceptance ◽  
Batch Delivery ◽  
Order Acceptance And Scheduling

scholarly journals Diversity Controlling Genetic Algorithm for Order Acceptance and Scheduling Problem

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Cheng Chen ◽  
Zhenyu Yang ◽  
Yuejin Tan ◽  
Renjie He
Keyword(s):  
Genetic Algorithm ◽  
Production Systems ◽  
Hamming Distance ◽  
Scheduling Problem ◽  
Order Acceptance ◽  
Solution Quality ◽  
Survival Selection ◽  
Benchmark Instances ◽  
Order Acceptance And Scheduling ◽  
Dependent Setup Times

Selection and scheduling are an important topic in production systems. To tackle the order acceptance and scheduling problem on a single machine with release dates, tardiness penalty, and sequence-dependent setup times, in this paper a diversity controlling genetic algorithm (DCGA) is proposed, in which a diversified population is maintained during the whole search process through survival selection considering both the fitness and the diversity of individuals. To measure the similarity between individuals, a modified Hamming distance without considering the unaccepted orders in the chromosome is adopted. The proposed DCGA was validated on 1500 benchmark instances with up to 100 orders. Compared with the state-of-the-art algorithms, the experimental results show that DCGA improves the solution quality obtained significantly, in terms of the deviation from upper bound.

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