Optimal schedule adjustments for supplying ready mixed concrete following incidents

Shangyao Yan; Han Chun Lin; Yin Chen Liu

doi:10.1016/j.autcon.2011.04.005

Optimal schedule adjustments for supplying ready mixed concrete following incidents

Shangyao Yan, Han Chun Lin, Yin Chen Liu

Department of Civil Engineering

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

In this study, the authors develop a systematic network flow model designed to help RMC carriers effectively adjust schedules following RMC mixer breakdowns. A time-space network technique is employed to formulate the production of the RMC and truck fleet flows in the dimensions of time and space. A solution algorithm, incorporating a problem decomposition technique and the use of a mathematical programming solver, is developed to efficiently solve the problem. Finally, the model and solution method are evaluated by performing a case study. The test results show that, with the application of the model and the solution algorithm, mixer breakdowns do not lead to much deterioration in the system operating performance. In addition, the system operating cost is significantly improved (by 10.75 %) compared to that obtained using the manual approach. As a result, the model and the solution algorithm could be useful for actual operations.

Original language	English
Pages (from-to)	1041-1050
Number of pages	10
Journal	Automation in Construction
Volume	20
Issue number	8
DOIs	https://doi.org/10.1016/j.autcon.2011.04.005
State	Published - Dec 2011

Keywords

Incident
Network flow
Ready mixed concrete
Schedule adjustment
Truck dispatching

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10.1016/j.autcon.2011.04.005

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title = "Optimal schedule adjustments for supplying ready mixed concrete following incidents",

abstract = "In this study, the authors develop a systematic network flow model designed to help RMC carriers effectively adjust schedules following RMC mixer breakdowns. A time-space network technique is employed to formulate the production of the RMC and truck fleet flows in the dimensions of time and space. A solution algorithm, incorporating a problem decomposition technique and the use of a mathematical programming solver, is developed to efficiently solve the problem. Finally, the model and solution method are evaluated by performing a case study. The test results show that, with the application of the model and the solution algorithm, mixer breakdowns do not lead to much deterioration in the system operating performance. In addition, the system operating cost is significantly improved (by 10.75 %) compared to that obtained using the manual approach. As a result, the model and the solution algorithm could be useful for actual operations.",

keywords = "Incident, Network flow, Ready mixed concrete, Schedule adjustment, Truck dispatching",

author = "Shangyao Yan and Lin, {Han Chun} and Liu, {Yin Chen}",

note = "Funding Information: The authors would like to thank the National Science Council of Taiwan for their financial support of this research under grant NSC-98-2221-E-008-077-MY3 . The authors would also like to thank the ready mixed concrete firm for kindly providing the test data and their valuable opinions. Finally, the authors would like to thank the three anonymous reviewers for their helpful comments and suggestions that have helped improve the presentation of the paper.",

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AU - Yan, Shangyao

AU - Lin, Han Chun

AU - Liu, Yin Chen

N1 - Funding Information: The authors would like to thank the National Science Council of Taiwan for their financial support of this research under grant NSC-98-2221-E-008-077-MY3 . The authors would also like to thank the ready mixed concrete firm for kindly providing the test data and their valuable opinions. Finally, the authors would like to thank the three anonymous reviewers for their helpful comments and suggestions that have helped improve the presentation of the paper.

PY - 2011/12

Y1 - 2011/12

N2 - In this study, the authors develop a systematic network flow model designed to help RMC carriers effectively adjust schedules following RMC mixer breakdowns. A time-space network technique is employed to formulate the production of the RMC and truck fleet flows in the dimensions of time and space. A solution algorithm, incorporating a problem decomposition technique and the use of a mathematical programming solver, is developed to efficiently solve the problem. Finally, the model and solution method are evaluated by performing a case study. The test results show that, with the application of the model and the solution algorithm, mixer breakdowns do not lead to much deterioration in the system operating performance. In addition, the system operating cost is significantly improved (by 10.75 %) compared to that obtained using the manual approach. As a result, the model and the solution algorithm could be useful for actual operations.

AB - In this study, the authors develop a systematic network flow model designed to help RMC carriers effectively adjust schedules following RMC mixer breakdowns. A time-space network technique is employed to formulate the production of the RMC and truck fleet flows in the dimensions of time and space. A solution algorithm, incorporating a problem decomposition technique and the use of a mathematical programming solver, is developed to efficiently solve the problem. Finally, the model and solution method are evaluated by performing a case study. The test results show that, with the application of the model and the solution algorithm, mixer breakdowns do not lead to much deterioration in the system operating performance. In addition, the system operating cost is significantly improved (by 10.75 %) compared to that obtained using the manual approach. As a result, the model and the solution algorithm could be useful for actual operations.

KW - Incident

KW - Network flow

KW - Ready mixed concrete

KW - Schedule adjustment

KW - Truck dispatching

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JO - Automation in Construction

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ER -

Optimal schedule adjustments for supplying ready mixed concrete following incidents

Abstract

Keywords

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