scholarly journals IMPACTS OF DIFFERENT OBJECTIVE FUNCTIONS ON RESOURCE LEVELING IN CONSTRUCTION PROJECTS: A CASE STUDY

2014 ◽  
Vol 20 (4) ◽  
pp. 537-547 ◽  
Author(s):  
Atilla Damci ◽  
Gul Polat
Keyword(s):  
Objective Function ◽  
Resource Utilization ◽  
Construction Projects ◽  
Critical Path ◽  
Industrial Building ◽  
Objective Functions ◽  
Critical Path Method ◽  
Resource Leveling ◽  
Average Improvement ◽  
The One

A review of the recent literature on the models that focus on resource leveling in Critical Path Method networks shows that different objective functions have been used to optimize resource utilization. The main objective of this study is to investigate the impacts of using different objective functions on resource utilization histograms in Critical Path Method networks. For this purpose, nine different resource leveling objective functions were optimized via a genetic algorithm-based model. The model was developed using actual data obtained from a steel framed industrial building construction project. It was found that each of these objective functions generates different resource utilization histograms. In order to determine the improvement levels achieved by resource leveling using nine different objective functions, the improvement percentage in each parameter and the average improvement percentage for each objective function were calculated. Even though the objective function that involves the minimization of the sum of the square of the deviations in daily resource usage provided the best average improvement percentage in the studied case, another objective function(s) may provide better average improvement percentage in different projects. The contractor should consider all objective functions for resource leveling and select the one(s) that provides the best average improvement percentage.

scholarly journals Application Of CPM Methode (Critical Path Methode) In Controlling The Time 100 Teus Contrainer Ship Hull Construction Project

2021 ◽  
Vol 9 (1) ◽  
pp. 17-24
Author(s):  
Mia Syafrina ◽  
Fandy Bestario Harlan
Keyword(s):  
High Risk ◽  
Potential Risk ◽  
Construction Projects ◽  
Critical Path ◽  
Construction Project ◽  
Ship Hull ◽  
Critical Path Method ◽  
Ship Construction ◽  
Critical Paths ◽  
Hull Construction

Construction projects are generally the most high-risk businesses, especially shipbuilding projects. Efforts to reduce the risk can be done by minimizing the potential risk. This study aims to see potential high risk and prevent delays in the completion of ship construction using the Critical Path Method CPM at PT. XYZ. By using the Critical Path Method CPM critical paths can be given more attention so that they will not interfere ship construction projects. In addition, it is also a form of anticipation if there is a delay, it is possible to reschedule.

scholarly journals Generalized Resource-Constrained Critical Path Method to Improve Sustainability in Construction Project Scheduling

2020 ◽  
Vol 12 (21) ◽  
pp. 8918
Author(s):  
Kyunghwan Kim
Keyword(s):  
Construction Projects ◽  
Resource Constraints ◽  
Critical Path ◽  
Construction Project ◽  
Sustainable Construction ◽  
Prototype System ◽  
Critical Path Method ◽  
Resource Constrained ◽  
Additional Time ◽  
Multiple Resource

Delays by limited supply of resources are common in many construction projects and may cause serious monetary disputes between project participants. Since the dispute resolution may require unnecessary additional time and cost, preventing delays in advance is an important goal in sustainable construction project management. To prevent delays, a feasible plan must be implemented, which reflects limited resources and provides reliable activity information. For this purpose, this study proposes a generalized resource-constrained critical path method (eRCPM). It consists of three steps to identify resource-dependent activity relationships (resource links) based on the result of resource-constrained scheduling (RCS) under multiple resource constraints. Compared to the existing resource-constrained critical path methods, the eRCPM has the advantage of identifying resource links irrespective of the applied RCS technique because it is based on the result rather than the RCS process. Further, this study presents a Microsoft (MS) Excel-based half-automated prototype system that is linked using file export and import functions to both P6 and MS Project software packages. The detailed process of the eRCPM algorithm and the operation process of the prototype system are described using an example schedule. Through a case study, it was demonstrated that eRCPM appropriately identifies the necessary resource links and provides reliable total floats.

The use of enhanced positional weight method for constrained resources project scheduling

1999 ◽  
Vol 26 (2) ◽  
pp. 242-247 ◽  
Author(s):  
Paul Wing Ming Tam ◽  
Ekambaram Palaneeswaran
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Critical Path ◽  
Technical Note ◽  
Critical Path Method ◽  
Unrealistic Assumption ◽  
Heuristic Technique ◽  
Weight Method ◽  
Positional Weight

Scheduling of construction projects is normally performed with the critical path method (CPM). The popular CPM/PERT network techniques are based on the assumption that sufficient resources will be available when needed to complete all project activities on schedule. This unrealistic assumption can lead to ineffective resource usage and project delays. For scheduling of the project activities with resource constraints, other algorithms have to be used. This technical note first outlines the suitability of ranked positional weight method (RPWM), a heuristic resource scheduling method, to construction project scheduling. It then focuses on a new heuristic technique, the enhanced positional weight method (EPWM), which is an improved version of the RPWM. Some interesting comparisons between the results given by Primavera, Microsoft Project, RPWM, and EPWM are also presented.Key words: ranked positional weight method, enhanced positional weight method, and critical path method.

scholarly journals Resource leveling in construction projects with activity splitting and resource constraints: a simulated annealing optimization

2019 ◽  
Vol 46 (2) ◽  
pp. 81-86 ◽  
Author(s):  
S. Madeh Piryonesi ◽  
Mehran Nasseri ◽  
Abdollah Ramezani
Keyword(s):  
Simulated Annealing ◽  
Resource Management ◽  
Computer Program ◽  
Resource Utilization ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Resource Leveling ◽  
Different Types ◽  
Management Techniques

Overtime and over-budget construction projects are not pleasant to any stakeholder. Stakeholders want construction projects to be completed without delay and excessive cost. It is possible to meet these objectives by using resource management techniques such as resource leveling. Due to the limitation of resources and different types of them in a construction project, optimizing the resource utilization is crucial. In this paper, a meta-heuristic simulated annealing resource leveling model is presented. The novelty of this model lies not only in the type of modeling and optimization but also in its assumptions. Our model simultaneously allows activities to split and considers a limitation in resource availabilities. The developed model was implemented in a computer program. Then, it was applied to an example from the literature of resource leveling. The model successfully solved the problem. The results of our model are compared with those already available in the literature.

scholarly journals Optimization of resource leveling problem under multiple objective criteria using a symbiotic organisms search

2019 ◽  
Vol 21 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Doddy Prayogo ◽  
Christianto Tirta Kusuma
Keyword(s):  
Particle Swarm Optimization ◽  
Resource Management ◽  
Objective Function ◽  
Multiple Objective ◽  
Objective Functions ◽  
Swarm Optimization ◽  
Cost Overruns ◽  
Symbiotic Organisms Search ◽  
Resource Leveling ◽  
Symbiotic Organisms

Bad scheduling and resource management can cause delays or cost overruns. Optimization in solving resource leveling is necessary to avoid those problems. Several objective criteria are used to solve resource leveling. Each of them has the same objective, which is to reduce the fluctuation of resource demand of the project. This study compares the performance of particle swarm optimization (PSO) and symbiotic organisms search (SOS) in solving resource leveling problems using separate objective functions in order to find which one produces a better solution. The results show that SOS produced a better solution than PSO, and one objective function is better in solving resource leveling than the others.

Construction project scheduling by ranked positional weight method

1998 ◽  
Vol 25 (3) ◽  
pp. 424-436 ◽  
Author(s):  
Paul Wing Ming Tam ◽  
Pujitha Bandara Gamagedera Dissanayake
Keyword(s):  
Resource Allocation ◽  
Project Scheduling ◽  
Construction Projects ◽  
Critical Path ◽  
Construction Project ◽  
Critical Path Method ◽  
Bridge Construction ◽  
Project Duration ◽  
Weight Method ◽  
Positional Weight

Construction projects are commonly scheduled by the critical path method or its similar methods, with the assumption that resources are unlimited. The ranked positional weight method, which may be used for project scheduling and resource allocation for both constrained and unconstrained resource scheduling, is found to be relatively easy in application. In construction, the availability of resources is sometimes limited and this leads to an extension of project duration. The critical path method and similar approaches cannot provide an answer in this scenario. A bridge construction project is used to illustrate how the method can be applied.Key words: scheduling, resource allocation, ranked positional weight method.

Scalable Computing Architecture for Time-Dependent Transportation Optimization Problems Based on High-Performance Computing Techniques

2019 ◽  
Vol 2673 (4) ◽  
pp. 205-216 ◽  
Author(s):  
Pengfei (Taylor) Li ◽  
Peirong (Slade) Wang ◽  
Farzana Chowdhury ◽  
Li Zhang
Keyword(s):  
Objective Function ◽  
High Performance Computing ◽  
High Performance ◽  
Optimization Problems ◽  
Dynamic Network ◽  
Alternative Formulation ◽  
High Fidelity ◽  
Objective Functions ◽  
Performance Computing ◽  
Transportation Optimization

Traditional formulations for transportation optimization problems mostly build complicating attributes into constraints while keeping the succinctness of objective functions. A popular solution is the Lagrangian decomposition by relaxing complicating constraints and then solving iteratively. Although this approach is effective for many problems, it generates intractability in other problems. To address this issue, this paper presents an alternative formulation for transportation optimization problems in which the complicating attributes of target problems are partially or entirely built into the objective function instead of into the constraints. Many mathematical complicating constraints in transportation problems can be efficiently modeled in dynamic network loading (DNL) models based on the demand–supply equilibrium, such as the various road or vehicle capacity constraints or “IF–THEN” type constraints. After “pre-building” complicating constraints into the objective functions, the objective function can be approximated well with customized high-fidelity DNL models. Three types of computing benefits can be achieved in the alternative formulation: ( a) the original problem will be kept the same; ( b) computing complexity of the new formulation may be significantly reduced because of the disappearance of hard constraints; ( c) efficiency loss on the objective function side can be mitigated via multiple high-performance computing techniques. Under this new framework, high-fidelity and problem-specific DNL models will be critical to maintain the attributes of original problems. Therefore, the authors’ recent efforts in enhancing the DNL’s fidelity and computing efficiency are also described in the second part of this paper. Finally, a demonstration case study is conducted to validate the new approach.

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