COST OPTIMIZATION OF MULTIPLE RESOURCES ALLOCATION FOR MULTI-PROJECTS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Sarah Aboul Fotouh ◽  
A. Samer Ezeldin
Keyword(s):  
Genetic Algorithm ◽  
Construction Industry ◽  
Cost Optimization ◽  
Project Managers ◽  
Resources Allocation ◽  
Total Cost ◽  
Multiple Resources ◽  
The Cost ◽  
Critical Resources ◽  
Available Resources

As the construction industry grows year by year, optimization of resources is becoming essential to reduce their required number, their costs and as a consequence the total cost of the project. Project managers have to face problems regarding management of cost, time, and available resources for single projects. What is more challenging is to optimize the available resources for multiple projects, which would result in appreciable savings. Most of the companies in the construction industry commonly optimize the resources for single project. However, with the presence of several mega projects in many developing countries running at the same time, there is a need for a model to enhance the efficiency of available resources among multiple simultaneous projects. This paper discusses a numerical model of cost optimization and allocation of up to nine resources for up to three projects for a given company, taking into consideration the transportation of resources from one project to another and the cost of unused resources. The model was developed using a genetic algorithm, and it is used on the identified critical resources. It calculates the cost of each resource, minimizes the cost of extra resources, cost of unused resources, and generates the schedule of each project within a selected overall program.

GENETIC ALGORITHM OPTIMIZATION OF MULTIPLE RESOURCES FOR MULTI-PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Sarah Fotouh ◽  
A. Samer Ezeldin
Keyword(s):  
Genetic Algorithm ◽  
Construction Projects ◽  
Project Managers ◽  
Algorithm Optimization ◽  
Multiple Resources ◽  
Proposed Model ◽  
The Cost ◽  
User Friendly ◽  
Critical Resources ◽  
Available Resources

Optimization of resources is very important in all construction projects. Project managers have to face problems regarding management of cost, time and available resources for single projects. This is more challenging when managing multiple projects. Most of the recent studies focused on optimization of resources for a single project, or a single resource. This paper presents a numerical model of multiple resources optimization for multiple projects using Genetic Algorithm. Most of the companies in the construction industry optimize the resources for single projects only. However, with the presence of several mega projects in several developing countries running at the same time, there is a need for a model to enhance the efficiency of available resources, and decreases the fluctuation as much as possible and try to maximize the use of the available pool of resources. The proposed model is user friendly, and it can optimize up to nine resources in three different projects running at the same time. The model is used on the identified critical resources. It calculates the cost of each resource, minimize the cost of extra resources as much as possible and generate the schedule of each project within a selected overall program.

scholarly journals Optimization Model and Algorithm of Empty Pallets Dispatching under the Time-Space Network of Express Shipment

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kang Zhou ◽  
Shiwei He ◽  
Rui Song ◽  
Xiaole Guo ◽  
Kaiming Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Clonal Selection ◽  
Transportation Cost ◽  
Transport Cost ◽  
Utilization Rate ◽  
Time Requirement ◽  
Total Cost ◽  
Time Space ◽  
The Cost

Relying on the express freight network, the dispatching of empty pallets based on the pallet pool mode is studied to reuse pallets with the minimum transport cost, enhance the pallet utilization rate, reduce the waste of resources, and save the cost of logistics. Considering the influence of transport efficiency for different modes in transportation process, differences of transportation cost, carbon emissions, and transportation timeliness of demand points required, an optimization model is constructed. The objective of the model is to minimize the total cost including transportation cost, inventory cost, lease cost, and loss cost. According to the structural characteristics of the model, genetic algorithm and improved cloud clonal selection operation is used to solve the model. Finally, the validity and rationality of the optimization model are verified by a case study. The result shows that the total dispatching cost of considering time requirement is 1.8 times the cost without considering the time requirement, respectively, both less than the total cost of pallets leasing. Moreover, when there are 3 supply points and 2 demand points and the number of iterations is 100, after the algorithms are run for 30 times, the worst values are 9305 and 8317 for genetic algorithm and the improved cloud clonal selection operation, respectively. Therefore, the efficiency of the improved cloud clonal selection operation is higher than genetic algorithm.

Multi-Objective Optimization Design of Tanker Ships via a Genetic Algorithm

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Marcelo Ramos Martins ◽  
Diego F. Sarzosa Burgos
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Optimization Problem ◽  
Pareto Frontier ◽  
Ship Design ◽  
Design Parameters ◽  
Multi Objective Optimization ◽  
Total Cost ◽  
Multi Objective ◽  
The Cost

The cost of a new ship design heavily depends on the principal dimensions of the ship; however, dimensions minimization often conflicts with the minimum oil outflow (in the event of an accidental spill). This study demonstrates one rational methodology for selecting the optimal dimensions and coefficients of form of tankers via the use of a genetic algorithm. Therein, a multi-objective optimization problem was formulated by using two objective attributes in the evaluation of each design, specifically, total cost and mean oil outflow. In addition, a procedure that can be used to balance the designs in terms of weight and useful space is proposed. A genetic algorithm was implemented to search for optimal design parameters and to identify the nondominated Pareto frontier. At the end of this study, three real ships are used as case studies.

scholarly journals Reducing the Cost of Electricity by Optimizing Real-Time Consumer Planning Using a New Genetic Algorithm-Based Strategy

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1144 ◽  
Author(s):  
Laurentiu-Mihai Ionescu ◽  
Nicu Bizon ◽  
Alin-Gheorghita Mazare ◽  
Nadia Belu
Keyword(s):  
Genetic Algorithm ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Time Interval ◽  
Renewable Sources ◽  
Total Cost ◽  
Cost Of Electricity ◽  
Cost Of Energy ◽  
Input Parameters ◽  
The Cost

To ensure the use of energy produced from renewable energy sources, this paper presents a method for consumer planning in the consumer–producer–distributor structure. The proposed planning method is based on the genetic algorithm approach, which solves a cost minimization problem by considering several input parameters. These input parameters are: the consumption for each unit, the time interval in which the unit operates, the maximum value of the electricity produced from renewable sources, and the distribution of energy production per unit of time. A consumer can use the equipment without any planning, in which case he will consume energy supplied by a distributor or energy produced from renewable sources, if it is available at the time he operates the equipment. A consumer who plans his operating interval can use more energy from renewable sources, because the planning is done in the time interval in which the energy produced from renewable sources is available. The effect is that the total cost of energy to the consumer without any planning will be higher than the cost of energy to the consumer with planning, because the energy produced from renewable sources is cheaper than that provided from conventional sources. To be validated, the proposed approach was run on a simulator, and then tested in two real-world case studies targeting domestic and industrial consumers. In both situations, the solution proposed led to a reduction in the total cost of electricity of up to 25%.

scholarly journals An Investigation into the Significant Causes of Disputes in the Sri Lankan Construction Industry

10.29007/vbwk ◽  
2020 ◽  
Author(s):  
Vajira Edirisinghe ◽  
Dianne Marsh ◽  
Fiona Borthwick ◽  
Alison Cotgrave
Keyword(s):  
Sri Lanka ◽  
Dispute Resolution ◽  
Construction Industry ◽  
Construction Projects ◽  
Cost Optimization ◽  
Sri Lankan ◽  
Construction Disputes ◽  
Qualitative Descriptive ◽  
The Cost ◽  
Cost Of Construction

Disputes in construction projects affect not only delay in construction progress but also its cost and potentially its quality. The construction industry of Sri Lanka contributes significantly to its economy and the cost of construction disputes can influence its economic welfare. It is important to understand the significant disputes in the Sri Lankan construction industry in order to mitigate this cost. A qualitative descriptive study has been conducted through semi-structured questionnaires analyzed using a thematic approach. The sample comprised of 10-construction industry professionals all involved in the dispute resolution process. The literature identified 7 main dispute causes as being owner related, contractor related, project related, design related, contract related, human behavior related and consultant related. The interviews identified sub themes from each, which were then ranked in order to identify those that were most significant. It was found that many of the sub themes were inter related and that one cause could be the creation of another. The lack of appropriate communication between parties and lack of team spirit were identified as the genesis of disputes in the Sri Lankan construction industry. The next stage of this research is to identify the dispute resolution methods specific to Sri Lanka in order to develop a framework for cost optimization of dispute resolution methods that link specifically with the causes of dispute as identified in this study.

Minimisation des surcoûts dans un contexte hors délai : cas des projets de construction dans les pays en développement

2007 ◽  
Vol 34 (9) ◽  
pp. 1180-1191
Author(s):  
Paul Louzolo-Kimbembé ◽  
Chrispin Pettang ◽  
Thomas Tamo Tatiétsé
Keyword(s):  
Construction Industry ◽  
Completion Time ◽  
Cost Overrun ◽  
Financial Problem ◽  
Cost Overruns ◽  
Total Cost ◽  
Normal Duration ◽  
Optimisation Model ◽  
The Cost ◽  
Reference Cost

Cost overruns are frequent in the construction industry. They become greater the more the construction project is delayed. In developing countries, this situation is recurring and constitutes a significant financial problem. In a time-overrun context, our objective is to find a method that can enable us to reduce the delay while minimizing the subsequent cost overruns. We thus developed a mathematical model named CCOMTOC (construction cost optimisation model in time-overrun context). The model was tested and results reveal that the reduction of cost overruns is effective. We showed that in a time-overrun context, according to the importance of delay penalties, we obtain two distinct situations. On the basis of the reference cost calculated for a maximum compression of tasks within the normal duration, we note that, for low delay penalties, the total cost after further delays to the estimated completion time decreases as we deviate from the initial completion time. On the other hand, for relatively high delay penalties, the cost first passes by a minimum before increasing regularly during the further delays to the estimated completion time.Key words: time overrun, optimization, linear programming, time skid, delay make-up, cost overrun.

scholarly journals Value Engineering in Building Information Modelling for Cost Optimization of Renovation Works: a Case Study

2018 ◽  
Vol 7 (4.35) ◽  
pp. 431 ◽  
Author(s):  
Fathoni Usman ◽  
Nur Adibah Jalaluddin ◽  
Sumi Amariena Hamim
Keyword(s):  
Construction Industry ◽  
Life Cycle Cost ◽  
Function Analysis ◽  
Cost Optimization ◽  
3D Models ◽  
Value Engineering ◽  
Student Activities ◽  
Building Information ◽  
The Cost

Implementation of Value Engineering (VE) in the construction industry has become a proven technique for cost optimization. This paper presents a review of the implementation of BIM in construction industry. The factors that triggered and hinder the implementation of VE and BIM in the current industry and a case study of the application of VE using BIM for cost optimization of renovation works are also discussed. The project which was used for the case study is the renovation of shop lot units to be used as a student centre where student activities will be placed. 3D models of the project were developed as BIM model that provide strong visualization when creating alternatives for VE processes. The function analysis, risk analysis and life-cycle cost analysis were applied to determine the value index for each developed alternative. It shows that the implementation had successfully reduced the cost by approximately 27% and the value of the project increased after the process.

scholarly journals Collaborative Distribution in the Soft Time Window of Agricultural-Means Supply Chain Based on Simulated Annealing-Genetic Algorithm

2020 ◽  
Vol 53 (6) ◽  
pp. 835-844
Author(s):  
Yanxin Zhu ◽  
Jiajing Wang ◽  
Meiyu Li
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Simulated Annealing ◽  
Customer Satisfaction ◽  
Optimization Model ◽  
Time Window ◽  
Cost Optimization ◽  
Simulated Annealing Genetic Algorithm ◽  
Appointment Time ◽  
The Cost

This paper mainly explores the collaborative distribution to multiple customers at the terminal of agricultural-means supply chain (AMSC). Firstly, a cost optimization model for collaborative distribution constrained by time window was constructed based on fuzzy appointment time function. Next, the proposed model was solved by simulated annealing-genetic algorithm (SA-GA). Through a case study, the cost optimization model constrained by customer satisfaction was compared with that not constrained by customer satisfaction. The results show that the cost optimization model constrained by customer satisfaction made the customers more satisfied without greatly elevating the distribution cost. The research results shed new light on the collaborative distribution of time-sensitive agricultural-means (AM) products, and the management of the AMSC.

ECONOMIC SUBSTANTIATION OF TRANSITION TO PERSONNEL OUTSOURCING IN THE ORGANIZATIONS OF THE CONSTRUCTION INDUSTRY

2020 ◽  
pp. 70-79
Author(s):  
V.V. Verna
Keyword(s):  
Cost Effectiveness ◽  
Construction Industry ◽  
Methodological Approaches ◽  
Construction Organization ◽  
The Cost ◽  
The Impact

The article provides a rationale for methodological approaches to assessing the effectiveness of outsourcing in organizations of the construction industry using the example of outsourcing schemes to perform personnel functions. The conditional example shows the impact of the use of outsourcing on reducing the costs of a construction organization. The main prerequisites for the use of outsourcing in the activities of enterprises in the construction industry are identified, methodological approaches to assessing the cost-effectiveness of personnel outsourcing in the construction industry enterprises are substantiated.

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