On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

There has recently been an increased emphasis on reducing energy consumption in manufacturing, driven by the fluctuations in energy costs and the growing importance given to environmental impact of manufactured goods. Lots of attention has been given to the reduction of machine tools energy consumption, as they require large amounts of energy to perform manufacturing tasks.

One area that has received relatively little interest, yet could harness great potential, is reducing energy consumption by planning machine activities between manufacturing operations, while the machine is not in use. The intuitive option --which is currently exploited in manufacturing-- is to leave the machine in a normal operating state in anticipation of the next manufacturing job. However, this is far from optimal due to the thermal deformation phenomenon, which usually require an energy-intensive warm-up cycle in order to bring all the components (e.g. spindle motor) into a suitable (stable) state for actual machining. Evidently, the use of this strategy comes with the associated commercial and environmental repercussions.

In this paper, we investigate the exploitability of automated planning techniques for planning machine activities between manufacturing operations. We present a PDDL 2.2 formulation of the task that considers energy consumption, thermal deformation, and accuracy. We then demonstrate the effectiveness of the proposed approach using a case study which considers real-world data.
LanguageEnglish
Title of host publication27th International Conference on Automated Planning and Scheduling
Subtitle of host publication (ICAPS 2017)
EditorsLaura Barbulescu, Jeremy Frank, Mausam , Stephen F. Smith
PublisherAssociation for the Advancement of Artificial Intelligence
Number of pages9
Publication statusPublished - 2017
Event27th International Conference on Automated Planning and Scheduling - Pittsburgh, United States
Duration: 18 Jun 201723 Jun 2017
Conference number: 27
http://icaps17.icaps-conference.org/ (Link to Conference Website)

Conference

Conference27th International Conference on Automated Planning and Scheduling
Abbreviated titleICAPS 2017
CountryUnited States
CityPittsburgh
Period18/06/1723/06/17
Internet address

Fingerprint

Machine tools
Energy utilization
Planning
Environmental impact
Machining
Costs

Cite this

Parkinson, S., Longstaff, A., Fletcher, S., Vallati, M., & Chrpa, L. (2017). On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations. In L. Barbulescu, J. Frank, M., & S. F. Smith (Eds.), 27th International Conference on Automated Planning and Scheduling: (ICAPS 2017) Association for the Advancement of Artificial Intelligence.
Parkinson, Simon ; Longstaff, Andrew ; Fletcher, Simon ; Vallati, Mauro ; Chrpa, Lukáš. / On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations. 27th International Conference on Automated Planning and Scheduling: (ICAPS 2017). editor / Laura Barbulescu ; Jeremy Frank ; Mausam ; Stephen F. Smith. Association for the Advancement of Artificial Intelligence, 2017.
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abstract = "There has recently been an increased emphasis on reducing energy consumption in manufacturing, driven by the fluctuations in energy costs and the growing importance given to environmental impact of manufactured goods. Lots of attention has been given to the reduction of machine tools energy consumption, as they require large amounts of energy to perform manufacturing tasks.One area that has received relatively little interest, yet could harness great potential, is reducing energy consumption by planning machine activities between manufacturing operations, while the machine is not in use. The intuitive option --which is currently exploited in manufacturing-- is to leave the machine in a normal operating state in anticipation of the next manufacturing job. However, this is far from optimal due to the thermal deformation phenomenon, which usually require an energy-intensive warm-up cycle in order to bring all the components (e.g. spindle motor) into a suitable (stable) state for actual machining. Evidently, the use of this strategy comes with the associated commercial and environmental repercussions.In this paper, we investigate the exploitability of automated planning techniques for planning machine activities between manufacturing operations. We present a PDDL 2.2 formulation of the task that considers energy consumption, thermal deformation, and accuracy. We then demonstrate the effectiveness of the proposed approach using a case study which considers real-world data.",
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Parkinson, S, Longstaff, A, Fletcher, S, Vallati, M & Chrpa, L 2017, On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations. in L Barbulescu, J Frank, M & SF Smith (eds), 27th International Conference on Automated Planning and Scheduling: (ICAPS 2017). Association for the Advancement of Artificial Intelligence, 27th International Conference on Automated Planning and Scheduling, Pittsburgh, United States, 18/06/17.

On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations. / Parkinson, Simon; Longstaff, Andrew; Fletcher, Simon; Vallati, Mauro; Chrpa, Lukáš.

27th International Conference on Automated Planning and Scheduling: (ICAPS 2017). ed. / Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith. Association for the Advancement of Artificial Intelligence, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations

AU - Parkinson, Simon

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N2 - There has recently been an increased emphasis on reducing energy consumption in manufacturing, driven by the fluctuations in energy costs and the growing importance given to environmental impact of manufactured goods. Lots of attention has been given to the reduction of machine tools energy consumption, as they require large amounts of energy to perform manufacturing tasks.One area that has received relatively little interest, yet could harness great potential, is reducing energy consumption by planning machine activities between manufacturing operations, while the machine is not in use. The intuitive option --which is currently exploited in manufacturing-- is to leave the machine in a normal operating state in anticipation of the next manufacturing job. However, this is far from optimal due to the thermal deformation phenomenon, which usually require an energy-intensive warm-up cycle in order to bring all the components (e.g. spindle motor) into a suitable (stable) state for actual machining. Evidently, the use of this strategy comes with the associated commercial and environmental repercussions.In this paper, we investigate the exploitability of automated planning techniques for planning machine activities between manufacturing operations. We present a PDDL 2.2 formulation of the task that considers energy consumption, thermal deformation, and accuracy. We then demonstrate the effectiveness of the proposed approach using a case study which considers real-world data.

AB - There has recently been an increased emphasis on reducing energy consumption in manufacturing, driven by the fluctuations in energy costs and the growing importance given to environmental impact of manufactured goods. Lots of attention has been given to the reduction of machine tools energy consumption, as they require large amounts of energy to perform manufacturing tasks.One area that has received relatively little interest, yet could harness great potential, is reducing energy consumption by planning machine activities between manufacturing operations, while the machine is not in use. The intuitive option --which is currently exploited in manufacturing-- is to leave the machine in a normal operating state in anticipation of the next manufacturing job. However, this is far from optimal due to the thermal deformation phenomenon, which usually require an energy-intensive warm-up cycle in order to bring all the components (e.g. spindle motor) into a suitable (stable) state for actual machining. Evidently, the use of this strategy comes with the associated commercial and environmental repercussions.In this paper, we investigate the exploitability of automated planning techniques for planning machine activities between manufacturing operations. We present a PDDL 2.2 formulation of the task that considers energy consumption, thermal deformation, and accuracy. We then demonstrate the effectiveness of the proposed approach using a case study which considers real-world data.

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M3 - Conference contribution

BT - 27th International Conference on Automated Planning and Scheduling

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A2 - Smith, Stephen F.

PB - Association for the Advancement of Artificial Intelligence

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Parkinson S, Longstaff A, Fletcher S, Vallati M, Chrpa L. On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations. In Barbulescu L, Frank J, M, Smith SF, editors, 27th International Conference on Automated Planning and Scheduling: (ICAPS 2017). Association for the Advancement of Artificial Intelligence. 2017