Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence

Most construction projects involve use of construction machines, construction plant manager has to consider both timeliness and flexibility to develop an efficient schedule of dispatching construction machines, which can balance the operations at different construction sites. In this paper, we const...

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Main Authors: Y. Xing, Z.B. Song, X.L. Deng
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2016-08-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/3947
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author Y. Xing
Z.B. Song
X.L. Deng
author_facet Y. Xing
Z.B. Song
X.L. Deng
author_sort Y. Xing
collection DOAJ
description Most construction projects involve use of construction machines, construction plant manager has to consider both timeliness and flexibility to develop an efficient schedule of dispatching construction machines, which can balance the operations at different construction sites. In this paper, we constructed an optimization model with multi-target as construction quality, time limit, efficiency and cost. The model consists of a database, a rule- based system and multi-target decision making modules. The database includes detailed data about construction machine types and their properties. The rule-based system module provides rules, which are utilized by inference engine for determining the most proper construction machine type. Ultimately, a final decision is made for the most proper construction machine among the alternatives of the same type using the information axiom of axiomatic design principles. In order to verify the validity of the model, evaluation of alternatives is made for the cases of both complete and incomplete information.
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spelling doaj.art-e165d9663a0e469b8c77ed247d7afa7e2022-12-21T23:05:32ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015110.3303/CET1651083Optimizing the Schedule of Dispatching Construction Machines through Artificial IntelligenceY. XingZ.B. SongX.L. DengMost construction projects involve use of construction machines, construction plant manager has to consider both timeliness and flexibility to develop an efficient schedule of dispatching construction machines, which can balance the operations at different construction sites. In this paper, we constructed an optimization model with multi-target as construction quality, time limit, efficiency and cost. The model consists of a database, a rule- based system and multi-target decision making modules. The database includes detailed data about construction machine types and their properties. The rule-based system module provides rules, which are utilized by inference engine for determining the most proper construction machine type. Ultimately, a final decision is made for the most proper construction machine among the alternatives of the same type using the information axiom of axiomatic design principles. In order to verify the validity of the model, evaluation of alternatives is made for the cases of both complete and incomplete information.https://www.cetjournal.it/index.php/cet/article/view/3947
spellingShingle Y. Xing
Z.B. Song
X.L. Deng
Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
Chemical Engineering Transactions
title Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
title_full Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
title_fullStr Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
title_full_unstemmed Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
title_short Optimizing the Schedule of Dispatching Construction Machines through Artificial Intelligence
title_sort optimizing the schedule of dispatching construction machines through artificial intelligence
url https://www.cetjournal.it/index.php/cet/article/view/3947
work_keys_str_mv AT yxing optimizingthescheduleofdispatchingconstructionmachinesthroughartificialintelligence
AT zbsong optimizingthescheduleofdispatchingconstructionmachinesthroughartificialintelligence
AT xldeng optimizingthescheduleofdispatchingconstructionmachinesthroughartificialintelligence