Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times

The aim of this paper is to present a model of energy efficient scheduling for series production systems during operation, including setup and shutdown activities. The flow shop system together with setup, shutdown times and energy consumption are considered. Production tasks enter the system with e...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Adrian Kampa, Iwona Paprocka
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy-efficient scheduling flow shop serial–parallel flow multi objective immune algorithm Technology T
Acceso en línea:	https://doaj.org/article/2fa7e825f98b47a3a85bd9d93d13b286
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2fa7e825f98b47a3a85bd9d93d13b286
record_format	dspace
spelling	oai:doaj.org-article:2fa7e825f98b47a3a85bd9d93d13b2862021-11-11T16:09:24ZAnalysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times10.3390/en142174461996-1073https://doaj.org/article/2fa7e825f98b47a3a85bd9d93d13b2862021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7446https://doaj.org/toc/1996-1073The aim of this paper is to present a model of energy efficient scheduling for series production systems during operation, including setup and shutdown activities. The flow shop system together with setup, shutdown times and energy consumption are considered. Production tasks enter the system with exponentially distributed interarrival times and are carried out according to the times assumed as predefined. Tasks arriving from one waiting queue are handled in the order set by the Multi Objective Immune Algorithm. Tasks are stored in a finite-capacity buffer if machines are busy, or setup activities are being performed. Whenever a production system is idle, machines are stopped according to shutdown times in order to save energy. A machine requires setup time before executing the first batch of jobs after the idle time. Scientists agree that turning off an idle machine is a common measure that is appropriate for all types of workshops, but usually requires more steps, such as setup and shutdown. Literature analysis shows that there is a research gap regarding multi-objective algorithms, as minimizing energy consumption is not the only factor affecting the total manufacturing cost—there are other factors, such as late delivery cost or early delivery cost with additional storage cost, which make the optimization of the total cost of the production process more complicated. Another goal is to develop previous scheduling algorithms and research framework for energy efficient scheduling. The impact of the input data on the production system performance and energy consumption for series production is investigated in serial, parallel or serial–parallel flows. Parallel flow of upcoming tasks achieves minimum values of makespan criterion. Serial and serial–parallel flows of arriving tasks ensure minimum cost of energy consumption. Parallel flow of arriving tasks ensures minimum values of the costs of tardiness or premature execution. Parallel flow or serial–parallel flow of incoming tasks allows one to implement schedules with tasks that are not delayed.Adrian KampaIwona PaprockaMDPI AGarticleenergy-efficient schedulingflow shopserial–parallel flowmulti objective immune algorithmTechnologyTENEnergies, Vol 14, Iss 7446, p 7446 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy-efficient scheduling flow shop serial–parallel flow multi objective immune algorithm Technology T
spellingShingle	energy-efficient scheduling flow shop serial–parallel flow multi objective immune algorithm Technology T Adrian Kampa Iwona Paprocka Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
description	The aim of this paper is to present a model of energy efficient scheduling for series production systems during operation, including setup and shutdown activities. The flow shop system together with setup, shutdown times and energy consumption are considered. Production tasks enter the system with exponentially distributed interarrival times and are carried out according to the times assumed as predefined. Tasks arriving from one waiting queue are handled in the order set by the Multi Objective Immune Algorithm. Tasks are stored in a finite-capacity buffer if machines are busy, or setup activities are being performed. Whenever a production system is idle, machines are stopped according to shutdown times in order to save energy. A machine requires setup time before executing the first batch of jobs after the idle time. Scientists agree that turning off an idle machine is a common measure that is appropriate for all types of workshops, but usually requires more steps, such as setup and shutdown. Literature analysis shows that there is a research gap regarding multi-objective algorithms, as minimizing energy consumption is not the only factor affecting the total manufacturing cost—there are other factors, such as late delivery cost or early delivery cost with additional storage cost, which make the optimization of the total cost of the production process more complicated. Another goal is to develop previous scheduling algorithms and research framework for energy efficient scheduling. The impact of the input data on the production system performance and energy consumption for series production is investigated in serial, parallel or serial–parallel flows. Parallel flow of upcoming tasks achieves minimum values of makespan criterion. Serial and serial–parallel flows of arriving tasks ensure minimum cost of energy consumption. Parallel flow of arriving tasks ensures minimum values of the costs of tardiness or premature execution. Parallel flow or serial–parallel flow of incoming tasks allows one to implement schedules with tasks that are not delayed.
format	article
author	Adrian Kampa Iwona Paprocka
author_facet	Adrian Kampa Iwona Paprocka
author_sort	Adrian Kampa
title	Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
title_short	Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
title_full	Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
title_fullStr	Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
title_full_unstemmed	Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times
title_sort	analysis of energy efficient scheduling of the manufacturing line with finite buffer capacity and machine setup and shutdown times
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2fa7e825f98b47a3a85bd9d93d13b286
work_keys_str_mv	AT adriankampa analysisofenergyefficientschedulingofthemanufacturinglinewithfinitebuffercapacityandmachinesetupandshutdowntimes AT iwonapaprocka analysisofenergyefficientschedulingofthemanufacturinglinewithfinitebuffercapacityandmachinesetupandshutdowntimes
_version_	1718432404916404224

Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times

Ejemplares similares