國立虎尾科技大學 |

Automobile Repair Scheduling : = A Real case.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Automobile Repair Scheduling :/
其他題名:	A Real case.
作者:	dos Santos Pilar, Maria de Fatima.
面頁冊數:	1 online resource (156 pages)
附註:	Source: Masters Abstracts International, Volume: 83-09.
Contained By:	Masters Abstracts International83-09.
標題:	Transportation. -
電子資源:	click for full text (PQDT)
ISBN:	9798209811909

Automobile Repair Scheduling : = A Real case.
dos Santos Pilar, Maria de Fatima.

Automobile Repair Scheduling :A Real case. - 1 online resource (156 pages)

Source: Masters Abstracts International, Volume: 83-09.

Thesis (Master's)--Instituto Politecnico do Porto (Portugal), 2019.

Includes bibliographical references

Scheduling represents a classic combinatorial problem, which has been extensively studied in Operational Research (OR). These type of problems arise in several economic domains, and in spite of the great variety of studies present in the literature, few are those that portray problems in the automobile sector, particularly in the scheduling of car maintenance tasks, and that use real data for their resolution. This project will portray the case of a Portuguese rm in the automobile sector, in the branch located in Porto, focusing on the repairs performed at its mechanical section. The process of each vehicle that arrives at the repair shop starts by the opening of a repair order (RO) form, indicating the necessary mechanical repairs to be performed. Next the repair shop manager assigns the repair tasks to one of the eight mechanics available in this repair shop. This study intends to develop a mathematical model that, using data provided by the rm, would allow to improve the scheduling of the repairs, considering the mechanics and resources available, the necessary interventions to perform and the execution time of each one of these interventions. The aim is to reduce the time of inactivity of the vehicles between interventions, as well as increasing the productivity of the mechanics' work. For this, a Mixed Integer Linear Programming (MILP) model will be developed, combining linear ordering variables to sequence the interventions performed in each vehicle, assignment variables and linear variables for start times. The problem will be formulated and solved using the AMPL modeling language, using the Gurobi solver, to solve the real instances tested. With the application of the developed model, the vehicles' interventions scheduling will be performed in a suitable form, reducing both the downtime between the vehicles' interventions as well as the downtime of mechanics, and therefore improve productivity. The results show that all the necessary mechanical interventions are correctly schedule and there is a decrease in the downtimes.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798209811909Subjects--Topical Terms:

558117
Transportation.
Index Terms--Genre/Form:

554714
Electronic books.

Automobile Repair Scheduling : = A Real case.
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500 $a Source: Masters Abstracts International, Volume: 83-09.
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502 $a Thesis (Master's)--Instituto Politecnico do Porto (Portugal), 2019.
504 $a Includes bibliographical references
520 $a Scheduling represents a classic combinatorial problem, which has been extensively studied in Operational Research (OR). These type of problems arise in several economic domains, and in spite of the great variety of studies present in the literature, few are those that portray problems in the automobile sector, particularly in the scheduling of car maintenance tasks, and that use real data for their resolution. This project will portray the case of a Portuguese rm in the automobile sector, in the branch located in Porto, focusing on the repairs performed at its mechanical section. The process of each vehicle that arrives at the repair shop starts by the opening of a repair order (RO) form, indicating the necessary mechanical repairs to be performed. Next the repair shop manager assigns the repair tasks to one of the eight mechanics available in this repair shop. This study intends to develop a mathematical model that, using data provided by the rm, would allow to improve the scheduling of the repairs, considering the mechanics and resources available, the necessary interventions to perform and the execution time of each one of these interventions. The aim is to reduce the time of inactivity of the vehicles between interventions, as well as increasing the productivity of the mechanics' work. For this, a Mixed Integer Linear Programming (MILP) model will be developed, combining linear ordering variables to sequence the interventions performed in each vehicle, assignment variables and linear variables for start times. The problem will be formulated and solved using the AMPL modeling language, using the Gurobi solver, to solve the real instances tested. With the application of the developed model, the vehicles' interventions scheduling will be performed in a suitable form, reducing both the downtime between the vehicles' interventions as well as the downtime of mechanics, and therefore improve productivity. The results show that all the necessary mechanical interventions are correctly schedule and there is a decrease in the downtimes.
520 $a O problema de agendamento representa um problema combinat´orio cl´assico, bastante estudado em Investiga¸c˜ao Operacional. Este tipo de problemas surge em v´arios dom´inios econ´omicos, e apesar da grande variedade de estudos presentes na literatura, poucos s˜ao os que retratam problemas no setor autom´ovel, particularmente no agendamento de tarefas de manuten¸c˜ao autom´ovel, e que utilizam dados reais para a sua resolu¸c˜ao. Este projeto retratar´a o caso de uma empresa Portuguesa no setor autom´ovel, na filial localizada no Porto, com foco na sua sec¸c˜ao mecˆanica, e nas repara¸c˜oes ali desempenhadas. O processo de repara¸c˜ao de cada ve´iculo que chega `a oficina come¸ca pela abertura da ficha de ordem de repara¸c˜ao, indicando as repara¸c˜oes mecˆanicas necess´arias a serem realizadas. De seguida, o chefe da oficina atribui as tarefas de repara¸c˜ao a um dos oito mecˆanicas dispon´iveis nesta oficina. Neste estudo pretende desenvolver um modelo matem´atico que permita, atrav´es dos dados fornecidos pela empresa, melhorar o agendamento das repara¸c˜oes, considerando os mecˆanicos e recursos dispon´iveis, as interven˜oes necess´arias a realizar e o tempo de execu¸c˜ao de cada uma dessas interven¸c˜oes. O objetivo ´e reduzir o tempo inatividade dos ve´iculos entre as interven¸c˜oes a realizar, assim como aumentar a produtividade dos mecˆanicos. Para tal, ser´a desenvolvido um modelo de Programa¸c˜ao Linear Inteira Mista (MILP), que combina vari´aveis de ordena¸c˜ao linear para sequenciar as interven¸c˜oes realizadas em cada ve´iculo, vari´aveis de atribui¸c˜ao e vari´aveis lineares para tempos de in´icio das interven¸c˜oes. O problema ser´a formulado utilizando a linguagem de modela¸c˜ao AMPL e ser´a usado o solver Gurobi para resolver as instˆancias reais testadas. Com a aplica¸c˜ao do modelo desenvolvido, espera-se obter o agendamento adequado das interven¸c˜oes, de forma a reduzir tanto o tempo de inatividade entre interven¸c˜oes realizadas em ve´iculos, como o tempo de inatividade dos mecˆanicos, aumentando deste modo a produtividade. Os resultados mostram que o agenadmento das tarefas foi efetuado correctamente e que os tempos de inatividade diminuiram.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Transportation. $3 558117
650 4 $a Physics. $3 564049
650 4 $a Operations research. $3 573517
650 4 $a Vehicles. $3 721652
650 4 $a Mechanics. $3 527684
650 4 $a Airports. $3 661514
650 4 $a Linear programming. $3 528157
650 4 $a Opening hours. $3 1473111
650 4 $a Integer programming. $3 527790
650 4 $a Job shops. $3 1473110
650 4 $a Scheduling. $3 719495
650 4 $a Mathematical programming. $3 1422522
655 7 $a Electronic books. $2 local $3 554714
690 $a 0346
690 $a 0796
690 $a 0605
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710 2 $a Instituto Politecnico do Porto (Portugal). $3 1466867
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Masters Abstracts International $g 83-09.
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