Layout Optimization Model for the Production Planning of Precast Concrete Building Components

Wang, Dong; Liu, Guiwen; Li, Kaijian; Wang, Tongjing; Shrestha, Asheem; Martek, Igor; Tao, Xiaobo

doi:10.3390/su10061807

Cited by 20 publications

(15 citation statements)

References 19 publications

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“…Since the properties of concrete are shaped from the moment of mixing in a process influenced by many factors, assessment of its quality (parameters) can be carried out at different times: during production, during delivery and before/after construction, and importantly, quality assessment can be performed by different participants of the investment process: the producer, the contractor, and the investor. Achieving the desired quality of concrete involves not only conformity assurance, but also appropriate design of concrete mix and selection of suitable ingredients [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ], proper manufacturing [ 22 , 23 , 24 ], development of innovative research methods that aid concrete design aimed at obtaining appropriate properties and durability [ 25 , 26 , 27 ] and development of methods for analysing obtained assessment results both during production and in existing constructions [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

et al. 2020

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Control of technical parameters obtained by ready-mixed concrete may be carried out at different stages of the development of concrete properties and by different participants involved in the construction investment process. According to the European Standard EN 206 “Concrete–Specification, performance, production and conformity”, mandatory control of concrete conformity is conducted by the producer during production. As shown by the subject literature, statistical criteria set out in the standard, including the method for concrete quality assessment based on the concept of concrete family, continue to evoke discussions and raise doubts. This justifies seeking alternative methods for concrete quality assessment. This paper presents a novel approach to quality control and classification of concrete based on combining statistical and fuzzy theories as a means of representation of two types of uncertainty: random uncertainty and information uncertainty. In concrete production, a typical situation when fuzzy uncertainty can be taken into consideration is the conformity control of concrete compressive strength, which is conducted to confirm the declared concrete class. The proposed procedure for quality assessment of a concrete batch is based on defining the membership function for the considered concrete classes and establishing the degree of belonging to the considered concrete class. It was found that concrete classification set out by the standard includes too many concrete classes of overlapping probability density distributions, and the proposed solution was to limit the scope of compressive strength to every second class so as to ensure the efficacy of conformity assessment conducted for concrete classes and concrete families. The proposed procedures can lead to two types of decisions: non-fuzzy (crisp) or fuzzy, which point out to possible solutions and their corresponding preferences. The suggested procedure for quality assessment allows to classify a concrete batch in a fuzzy way with the degree of certainty less than or equal to 1. The results obtained confirm the possibility of employing the proposed method for quality assessment in the production process of ready-mixed concrete.

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Section: Introductionmentioning

confidence: 99%

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

et al. 2020

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“…The compressive strength of concrete is a basic parameter which proves its quality and durability. Achieving the desired quality of concrete involves appropriate design of concrete mixes [ 53 , 54 ], proper manufacturing [ 55 ], development of innovative research methods that aid concrete design aimed at obtaining appropriate properties and durability [ 56 ], and development of methods for analyzing assessment results both during production and in existing constructions [ 57 , 58 ].…”

Section: Methodsmentioning

confidence: 99%

Elements of Pathway for Quick and Reliable Health Monitoring of Concrete Behavior in Cable Post-Tensioned Concrete Girders

et al. 2021

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The paper discusses the problems connected with long-term exploitation of reinforced concrete post-tensioned girders. The scale of problems in the world related to the number of cable post-tensioned concrete girders built in the 1950s and still in operation is very large and possibly has very serious consequences. The paper presents an analysis and evaluation of the results of measurements of the deflection and strength and homogeneity of concrete in cable–concrete roof girders of selected industrial halls located in Poland, exploited for over 50 years. On the basis of the results of displacement monitoring in the years 2009–2020, the maximum increments of deflection of the analyzed girders were determined. Non-destructive, destructive, and indirect evaluation methods were used to determine the compressive strength of concrete. Within the framework of the indirect method recommended in standard PN-EN 13791, a procedure was proposed by the authors to modify the so-called base curve for determining compressive strength. Due to the age of the analyzed structural elements, a correction factor for the age of concrete was taken into account in the strength assessment. The typical value of the characteristic compressive strength is within the range 20.3–28.4 MPa. As a result of the conducted tests, the concrete class assumed in the design was not confirmed, and its classification depended on the applied test method. The analyzed girders, in spite of their long-term exploitation, can be still used for years on the condition that regular periodical inspections of their technical condition are carried out. The authors emphasize the necessity for a permanent and cyclic diagnostic process and monitoring of the geometry of girders, as they are expected to operate much longer than was assumed by their designers.

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“…Khalili and Chua [14] adopted a mold adaptability matrix to efficiently utilize complex molds in production platform. Wang et al [15] offered a model of prefabrication production planning to maximize the average utilization rate of pallets. In contrast, the scheduling of multiple production lines is gradually becoming an issue.…”

Section: Production Planning and Schedulingmentioning

confidence: 99%

“…Hence, component factories have not yet found a suitable method regarding the planning and optimization for precast component production although they are very clear about their own needs and responsibilities. After searching and analysing relevant literature, we find that the planning and optimization for precast component production are mainly achieved in the following ways: the resource and cost optimization for complex molds [14], the layout planning of precast components under the constraints of mold platen utilization [15], the planning of crew configurations based on genetic algorithm [16], and the production planning system integrating multiple artificial intelligence technologies [17]. However, these related studies ignore some practical problems, including the uncertainty of the production process, the complex evaluation of precast components, and the unnecessary waste during component production.…”

Section: Introductionmentioning

confidence: 99%

Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation

Yuan

Qiao

Guo

et al. 2020

Advances in Civil Engineering

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Component factories are experiencing the problems associated with lean production, especially the accuracy of production time prediction and the unnecessary waste in terms of time and resource utilization. In order to solve these problems, a discrete event simulation- (DES-) based lean planning and optimization method for precast component production is proposed by integrating the complexity assessment (CS), discrete event simulation (DES), and lean management (LM). The method includes three submodels: improved production planning, DES, and lean analysis and optimization. In the submodel of improved production planning, a complexity evaluation index system for precast components is established through investigating five component factories, consulting seven domain experts and analysing relevant literature. In the submodel of DES, the DES technique is adopted to simulate and analyse the production activities of precast components. The submodel of lean analysis and optimization provides multidimensional analysis, comparative analysis, and suggestions. Finally, a detailed production case is selected to simulate and test the proposed method. The important findings are as follows: (1) this method can minimize the difference between the processing time of each workstation to avoid bottleneck stations as much as possible; (2) this method can capture the uncertainty during precast component production, and the most likely production time calculated by the method is 12.05 hours instead of the 11.50 hours originally estimated by the component factory; (3) this method can identify some unnecessary waste in the production process of precast components, including less than 50% utilization of workstations and unnecessary equipment purchases; (4) this method also provides some suggestions regarding production optimization. Due to the particularity of precast component production, it further expands the boundary of lean production methodology from the perspective of the construction industry rather than the manufacturing industry. The proposed method assists component factories in planning and optimizing the precast component production when they make detailed production plans.

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Layout Optimization Model for the Production Planning of Precast Concrete Building Components

Cited by 20 publications

References 19 publications

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

Elements of Pathway for Quick and Reliable Health Monitoring of Concrete Behavior in Cable Post-Tensioned Concrete Girders

Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation

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