Scheduling pipe laying support vessels with non-anticipatory family setup times and intersections between sets of operations

被引:8
作者
Abu-Marrul, Victor [1 ]
Martinelli, Rafael [1 ]
Hamacher, Silvio [1 ]
机构
[1] Pontif Catholic Univ Rio de Janeiro PUC Rio, Dept Ind Engn, Marques de Sao Vicente 225, BR-22451900 Rio De Janeiro, RJ, Brazil
关键词
Identical parallel machine scheduling; family scheduling problem; offshore resource management; non-anticipatory setup times; ship scheduling; PARALLEL MACHINES; ALGORITHM;
D O I
10.1080/00207543.2020.1828637
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we deal with a problem that arises from the oil industry with the need to schedule a pipe laying support vessel fleet responsible for connecting oil wells to production platforms. We model it as an identical parallel machine scheduling problem, considering a particular case where jobs are composed of intersecting sets of operations and with operations partitioned into families. A non-anticipatory family setup time is incurred on three occasions: when a machine changes the execution of operations from one family to another, when the machine reaches its capacity, and before the first operation on each machine. These considerations, along with other scheduling features, make the problem more challenging and attractive to the scheduling literature. We propose three mathematical formulations to solve 72 generated instances, based on actual data, with up to 50 operations to schedule. Among the formulations, the Batch Scheduling presents better results with the smallest gaps, when compared to the best lower bounds obtained. This formulation considers a dispatching rule to sequence operations within batches, generating better solutions in 22 of the 24 largest instances, dominating the other formulations. A Brazilian oil company currently uses this approach in a production system for its tactical planning.
引用
收藏
页码:6833 / 6847
页数:15
相关论文
共 26 条
[1]  
Abu-Marrul Victor, 2019, INSTANCES PLSV SCHED, DOI 10.17771/PUCRio.ResearchData.45799
[2]   The third comprehensive survey on scheduling problems with setup times/costs [J].
Allahverdi, Ali .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 246 (02) :345-378
[3]   Speeding up a Rollout algorithm for complex parallel machine scheduling [J].
Ciavotta, Michele ;
Meloni, Carlo ;
Pranzo, Marco .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (16) :4993-5009
[4]   An ILS heuristic for the ship scheduling problem: application in the oil industry [J].
Cunha, Victor ;
Santos, Iuri ;
Pessoa, Luciana ;
Hamacher, Silvio .
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2020, 27 (01) :197-218
[5]   Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models [J].
Fernandez Perez, Miguel A. ;
Oliveira, Fabricio ;
Hamacher, Silvio .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 57 (22) :7544-7554
[6]  
Fonseca-Reyna Yunior Cesar, 2019, INVESTIGACION OPERAC, V40
[7]  
Fuchigami Hélio Yochihiro, 2015, Prod., V25, P779, DOI 10.1590/0103-6513.089212
[8]   Scheduling identical parallel machines with machine eligibility restrictions to minimize total weighted flowtime in automobile gear manufacturing [J].
Gokhale, Ravindra ;
Mathirajan, M. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 60 (9-12) :1099-1110
[9]   An advanced scatter search algorithm for solving job shops with sequence dependent and non-anticipatory setups [J].
Gonzalez, Miguel A. ;
Vela, Camino R. ;
Varela, Ramiro ;
Gonzalez-Rodriguez, Ines .
AI COMMUNICATIONS, 2015, 28 (02) :179-193
[10]   Continuous-time formulation and differential evolution algorithm for an integrated batching and scheduling problem in aluminium industry [J].
Guo, Qingxin ;
Tang, Lixin ;
Liu, Jiyin ;
Zhao, Shengnan .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (10) :3169-3184