Production Rate Determination for Linear Construction Projects Based on Linear Scheduling Method

2016 ◽  
Vol 10 (4) ◽  
pp. 143-152 ◽  
Author(s):  
Liqiang Liu ◽  
Yisheng Liu ◽  
Yuanjie Tang
Keyword(s):  
Production Rate ◽  
Construction Projects ◽  
Linear Scheduling ◽  
Scheduling Method

scholarly journals Non-Sequential Linear Construction Project Scheduling Model for Minimizing Idle Equipment Using Constraint Programming (CP)

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2492
Author(s):  
Shu-Shun Liu ◽  
Agung Budiwirawan ◽  
Muhammad Faizal Ardhiansyah Arifin
Keyword(s):  
Resource Allocation ◽  
Constraint Programming ◽  
Construction Projects ◽  
Road Network ◽  
Construction Project ◽  
Scheduling Problems ◽  
Scheduling Model ◽  
Linear Scheduling ◽  
Network Maintenance ◽  
Scheduling Method

Over the last several decades, the scheduling of linear construction projects (LCPs) has been explored extensively by experts. The linear scheduling method (LSM), which focuses on work rate and work continuity, has the advantage of tackling LCPs’ scheduling problems. The traditional LSM uses work continuity to monitor resource allocation continuity on the premise that activities with the same type of work use the same crew. However, some LCPs require a combination of different types of equipment to comprise the crew. Sometimes, parts of different crews require the same types of equipment, and sometimes, the same crew requires different equipment configurations. This causes the pattern of work continuity to be different from the pattern of resource allocation continuity. Therefore, we propose an optimization model of the LSM to minimize idle equipment on a non-sequential linear construction project—i.e., a road network maintenance project. This model is intended to minimize the number of idle equipment and their idle time to achieve more efficient scheduling for linear construction projects. This model offers novel details of resource allocation continuity assessment by taking into account equipment combination and configuration (ECC). Therefore, the scheduling concept used by the proposed model is named the linear scheduling model with ECC (LSM–ECC). The model was developed using constraint programming (CP), as CP has good performance and robustness in the optimization field. The model was implemented to a representation of a road network maintenance project and has satisfactory results.

Advanced linear scheduling program with varying production rates for pipeline construction projects

2012 ◽  
Vol 27 ◽  
pp. 99-110 ◽  
Author(s):  
Greg Duffy ◽  
Asregedew Woldesenbet ◽  
“David” Hyung Seok Jeong ◽  
Garold D. Oberlender
Keyword(s):  
Construction Projects ◽  
Production Rates ◽  
Pipeline Construction ◽  
Linear Scheduling

STAFF COMPETENCY ISSUES IN LINEAR SCHEDULING APPLICATIONS

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Juneseok Yang ◽  
David Arditi
Keyword(s):  
Project Managers ◽  
Construction Scheduling ◽  
Linear Scheduling ◽  
Management Association ◽  
Project Organizations ◽  
Scheduling Method ◽  
Research Findings ◽  
Scheduling Tool ◽  
And Function ◽  
Repetitive Activities

Linear scheduling method (LSM) is a scheduling method that is based on achieving a continuous flow of resources as well as precedence requirements. Although LSMs have recognized strengths in dealing with resource-intensive projects that are composed of repetitive activities, LSMs are not used extensively. This study proposes a staff-technology fit model that aims to measure the extent to which the features provided by LSM match scheduling staff experience, know-how and capabilities. The aim is to understand why LSM is not used as extensively as expected in construction scheduling. A questionnaire survey was administered to professionals listed in the directory of the Construction Management Association of America (CMAA) to measure staffing-technology fit in LSM applications. Research findings indicate that LSM applications satisfy user requirements in construction scheduling by (1) providing information that is useful to project participants depending on their position and function in the project organizations, (2) presenting graphics that are easy to understand, and (3) providing ease in communication. Research findings also reveal that LSM is not only a scheduling tool but also a control tool. However, the findings also point out that (1) LSM schedules require much time and effort to produce, (2) there are only very few commercially available software programs capable of running LSM schedules, and (3) there are not enough training opportunities for project managers and their staff to learn how to use LSM.

Applying Lean Construction to Construction Project

2013 ◽  
Vol 834-836 ◽  
pp. 1976-1983 ◽  
Author(s):  
Nguyen Thanh Binh
Keyword(s):  
Construction Projects ◽  
Employee Training ◽  
Lean Construction ◽  
3D Animation ◽  
Concrete Construction ◽  
Look Ahead ◽  
Scheduling Method ◽  
Scheduling Tool ◽  
Major Factors ◽  
Last Planner

Lean construction is aimed to improve construction performance by eliminating wastes that do not add value to the customer. This project studies lean construction and its application in concrete construction projects at both the operation and project levels. In conjunction with a concrete contractor, actual concrete construction projects were observed, and problem areas contributing to delay and other wastes were identified. At the project level, the lack of coordination among subcontractors was cited as one of the major factors contributing to schedule delays. This paper proposes to use the last planner concept, the linear scheduling method, and the graphic schedule method to improve communication and look-ahead scheduling. Related software was developed for implementing this scheduling tool. At the operation level, a systematic approach of was identification, operation re-design, and employee training was applied to reduce wastes found in the field operation. A case study of bulkhead installation was used to demonstrate this approach, and a 3D animation was created for employee training.

An optimization model for workgroup-based repetitive scheduling

2006 ◽  
Vol 33 (9) ◽  
pp. 1172-1194 ◽  
Author(s):  
Rong-yau Huang ◽  
Kuo-Shun Sun
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Construction Projects ◽  
Optimal Solution ◽  
Planning And Scheduling ◽  
Construction Scheduling ◽  
Chromosome Representation ◽  
Scheduling Method ◽  
Model Formation ◽  
System Project

Most construction repetitive scheduling methods developed so far have been based on the premise that a repetitive project is comprised of many identical production units. Recently, Huang and Sun (2005) developed a workgroup-based repetitive scheduling method that takes the view that a repetitive construction project consists of repetitive activities of workgroups. Instead of repetitive production units, workgroups with repetitive or similar activities in a repetitive project are identified and employed in the planning and scheduling. The workgroup-based approach adds more flexibility to the planning and scheduling of repetitive construction projects and enhances the effectiveness of repetitive scheduling. This work builds on previous research and develops an optimization model for workgroup-based repetitive scheduling. A genetic algorithm (GA) is employed in model formation for finding the optimal or near-optimal solution. A chromosome representation, as well as specification of other parameters for GA analysis, is described in the paper. Two sample case studies, one simple and one sewer system project, are used for model validation and demonstration. Results and findings are reported.Key words: construction scheduling, repetitive project, workgroup, optimization, genetic algorithm.

scholarly journals PEMBUATAN SOFTWARE SEBAGAI APLIKASI LINEAR SCHEDULING METHOD PADA PERENCANAAN PENJADWALAN PROYEK JALAN

2017 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Arthur Suryadharma
Keyword(s):  
Visual Basic ◽  
Idle Time ◽  
Microsoft Excel ◽  
Basic Software ◽  
Linear Scheduling ◽  
Scheduling Method ◽  
Unit Unit

Proyek konstruksi jalan adalah contoh dari proyek linear, dimana terdiri aktivitas – aktivitas yang berulang dari unit yang satu ke unit berikut. Oleh karena itu tipe proyek ini butuh perencanaan penjadwalan yang tepat. Linear Scheduling Method (LSM) adalah teknik penjadwalan yang tepat untuk menjadwalkan unit – unit aktivitas proyek linear secara berkesinambungan sehingga terhindar dari idle time. Pada penelitian ini dilakukan pembuatan software LSM yang dapat menjaga kesinambungan kelompok kerja, disamping itu dapat menjadwalkan aktivitas – aktivitas agar terjadwal berdasarkan urutan yang ditentukan. Studi kasus proyek jalan digunakan pada penelitian ini untuk menguji software yang dibuat. Pembuatan software LSM menggunakan bantuan Visual Basic Software pada Microsoft Excel. Software yang diimplementasi pada proyek jalan menunjukkan kemampuan software yang dibuat untuk menghasilkan durasi proyek tanpa adanya idle time pada perpindahan kelompok kerja dan menjaga hubungan ketergantungan antar aktivitas.

scholarly journals Analysis of Labor Productivity of Brick Masonry Work in Building Construction in Kathmandu Valley

2021 ◽  
Vol 6 ◽  
pp. 159-175
Author(s):  
Nirmal Lawaju ◽  
Nabin Parajuli ◽  
Santosh Kumar Shrestha
Keyword(s):  
Production Rate ◽  
Labor Productivity ◽  
Construction Projects ◽  
Model Development ◽  
Construction Project ◽  
Brick Masonry ◽  
Building Construction ◽  
Ann Model ◽  
Cost Component ◽  
Data Set

Construction labor productivity is the most determinant of success of any construction project. Labor is considered as more variable and unpredictable cost component for the successful accomplishment of construction projects. The main aim of this research is to develop an artificial neural network (ANN) model to predict the production rate for brick masonry work by assessing the various factor affecting labor productivity. Out of forty-four factors selected from a literature review, the top thirteen factors were selected for model development after the questionnaire survey and ranking them based on Relative Importance Index (RII). The model was developed in Neurosolution version 7.1.1.1 using the various input data set collected from active construction site of brick masonry. 65% of data set were used for training, 20 % of data set were used for cross-validation and remaining 15 % of data set were used for testing. The error between actual productivity and estimated productivity was computed using Mean Square Error (MSE) which was 0.019 which verified that the estimated production rate was within an acceptable range. After the successful testing of model, a sensitivity analysis was performed to analyze the order of most influencing factors affecting labor productivity. The developed ANN model can be used for estimating the labor productivity of brick masonry work for any building construction project by incorporating the influence of selected parameters or factors.

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