Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zigao Wu"'
Publikováno v:
Mathematics, Vol 12, Iss 7, p 947 (2024)
The half-open multi-depot vehicle routing problem (HOMDVRP) is a typical decision optimization problem in the field of collaborative logistics that considers resource sharing. This study aims to develop an effective meta-heuristic algorithm for solvi
Externí odkaz:
https://doaj.org/article/54a2ad1592e8435c9c00dee7f9f4dd8a
Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4048 (2022)
This paper addresses the robust job-shop scheduling problems (RJSSP) with stochastic deteriorating processing times by considering the resilience of the production schedule. To deal with the disturbances caused by the processing time variations, the
Externí odkaz:
https://doaj.org/article/448d6f2ea5674bae9d7d20fafbde7b6a
Publikováno v:
Mathematics, Vol 7, Iss 6, p 529 (2019)
In the real-world manufacturing system, various uncertain events can occur and disrupt the normal production activities. This paper addresses the multi-objective job shop scheduling problem with random machine breakdowns. As the key of our approach,
Externí odkaz:
https://doaj.org/article/e6542cfd3a134cf6917ac4ff7f5508a1
Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling
Publikováno v:
Mathematics; Volume 10; Issue 21; Pages: 4048
This paper addresses the robust job-shop scheduling problems (RJSSP) with stochastic deteriorating processing times by considering the resilience of the production schedule. To deal with the disturbances caused by the processing time variations, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d32a8e20f0ae9fb2160710ccd9c6f494
https://doi.org/10.3390/math10214048
https://doi.org/10.3390/math10214048
Autor:
Shudong Sun, Zigao Wu
Publikováno v:
Procedia CIRP. 83:404-409
Scheduling has been playing an important role in the manufacturing phase of product life cycle. In this paper, we focus on the estimation of risk cost for the job shop scheduling under random machine breakdowns, in which all jobs should be delivered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::261d4b7e562cb59fa0dc8edc9845a7ef
https://doi.org/10.1016/j.procir.2019.04.087
https://doi.org/10.1016/j.procir.2019.04.087
Publikováno v:
Computers & Operations Research. 99:1-12
Job shop scheduling problem (JSP) with random machine breakdowns (RMBs) is studied in this paper for the purpose of finding an efficient measure for assessing and minimizing the schedule risk to optimize the stability of the schedule makespan. A nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f3df60fd512c6be82b267609e5b698
https://doi.org/10.1016/j.cor.2018.05.022
https://doi.org/10.1016/j.cor.2018.05.022
Autor:
Shaohua Yu, Zigao Wu
Publikováno v:
Computers & Industrial Engineering. 162:107754
In this paper we consider the problem of scheduling independent jobs when two customers compete to perform their jobs on a common machine (the workshop). Given that the cost function of the workshop is minimized first, we aim to minimize the cost fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e7576ef79f1320b4607b14d170528b
https://doi.org/10.1016/j.cie.2021.107754
https://doi.org/10.1016/j.cie.2021.107754
Publikováno v:
Mathematics
Volume 7
Issue 6
Mathematics, Vol 7, Iss 6, p 529 (2019)
Volume 7
Issue 6
Mathematics, Vol 7, Iss 6, p 529 (2019)
In the real-world manufacturing system, various uncertain events can occur and disrupt the normal production activities. This paper addresses the multi-objective job shop scheduling problem with random machine breakdowns. As the key of our approach,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdd7154eb8c951892a650b75b4f8dea1
Autor:
Zigao Wu, Shichang Xiao
Publikováno v:
Journal of Mechanical Engineering. 57:227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef8bc2c286b910f54d526d24fd5e5412
https://doi.org/10.3901/jme.2021.04.227
https://doi.org/10.3901/jme.2021.04.227
Publikováno v:
Computers & Operations Research. 122:104963
In real-world manufacturing environments, the execution of a schedule often encounters uncertain events, which will bring the risks of performance deterioration and production system instability. This study addresses the optimization of risks both in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe3802dc11bd2f26caa94c8ab699dc91
https://doi.org/10.1016/j.cor.2020.104963
https://doi.org/10.1016/j.cor.2020.104963