A Multi-objective Dynamic Optimization Approach to Project Schedule Management: A Case Study of a Gas Field Construction

2021 ◽  
Author(s):  
Ramin Ansari ◽  
Mohammad Khalilzadeh ◽  
M. Reza Hosseini
Keyword(s):  
Dynamic Optimization ◽  
Optimization Approach ◽  
Project Schedule ◽  
Gas Field ◽  
Multi Objective ◽  
Schedule Management

Multi-Objective Optimization in Multi-Attribute and Multi-Unit Combinatorial Reverse Auctions

2017 ◽  
Vol 26 (05) ◽  
pp. 1760016 ◽  
Author(s):  
Shubhashis Kumar Shil ◽  
Samira Sadaoui
Keyword(s):  
Quality Measures ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Solution Quality ◽  
Winner Determination ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Trading Constraints ◽  
Significant Superiority

This study introduces an advanced Combinatorial Reverse Auction (CRA), multi-units, multiattributes and multi-objective, which is subject to buyer and seller trading constraints. Conflicting objectives may occur since the buyer can maximize some attributes and minimize some others. To address the Winner Determination (WD) problem for this type of CRAs, we propose an optimization approach based on genetic algorithms that we integrate with our variants of diversity and elitism strategies to improve the solution quality. Moreover, by maximizing the buyer’s revenue, our approach is able to return the best solution for our complex WD problem. We conduct a case study as well as simulated testing to illustrate the importance of the diversity and elitism schemes. We also validate the proposed WD method through simulated experiments by generating large instances of our CRA problem. The experimental results demonstrate on one hand the performance of our WD method in terms of several quality measures, like solution quality, run-time complexity and trade-off between convergence and diversity, and on the other hand, it’s significant superiority to well-known heuristic and exact WD techniques that have been implemented for much simpler CRAs.

An enhanced multi-objective optimization approach for risk allocation in public–private partnership projects: a case study of Malaysia

2014 ◽  
Vol 41 (2) ◽  
pp. 164-177 ◽  
Author(s):  
Valipour Alireza ◽  
Yadollahi Mohammadreza ◽  
Rosli Mohamad Zin ◽  
Nordin Yahaya ◽  
Norhazilan Md. Noor
Keyword(s):  
Public Private Partnership ◽  
Optimization Approach ◽  
Risk Allocation ◽  
Private Partnership ◽  
Multi Objective ◽  
Allocation Process ◽  
Private And Public ◽  
Concession Period

The decision making for risk allocation problems in public–private partnership (PPP) projects is a vital process that directly affects the timeliness, cost, and quality of the project. Fair risk allocation is a vital factor to achieve success in the implementation of these projects. It is essential for private and public sectors to apply efficient risk allocation approaches to experience a more effective process of agreement arbitration and to reduce the appearance of dispute during the concession period. The aim of this study is to develop an optimization approach to enhance risk allocation process in PPP projects. The shared risks in projects are identified through comprehensive literature review and questionnaire survey obtained from Malaysian professionals involved in PPP projects. Objective functions are then developed to minimize the total time and cost of the project and maximize the quality while satisfying risk threshold constraints. The combinatorial nature of the risk allocation problem describes a multi-objective situation that can be simulated as a knapsack problem (KP). The formulation of the KP is described and solved applying genetic algorithm (GA). Due to the flexibility of GA, the results are Pareto Optimal solutions that describe the combinations of risk percentages for shared risks in PPP projects.

scholarly journals An optimization approach for green tourist trip design

2021 ◽  
Author(s):  
Ghazaleh Divsalar ◽  
Ali Divsalar ◽  
Armin Jabbarzadeh ◽  
Hadi Sahebi
Keyword(s):  
Computation Time ◽  
Real Data ◽  
Mixed Integer ◽  
Neighborhood Search ◽  
Optimization Approach ◽  
Total Cost ◽  
Multi Objective ◽  
Integer Linear Model ◽  
The Cost

Abstract In this paper, the Multi-Objective Multi-Modal Green Tourist Trip Design Problem (MO-MM-GTTDP) as the multi-modal variant of the orienteering problem is investigated. For this problem, a Multi-Objective mixed-integer linear model is formulated, which maximizes the total score of the Trip, minimizes the total cost of the trip as well as the total emission produced in the trip. Various transportation modes are considered for the tourist to choose to move between points of interest (POIs). The tourist choice may be affected by the transportation time and cost. Moreover, choosing the transportation mode will have an impact on the amount of trip pollutants. The cost of visiting POIs, as well as the cost of transportation between POIs, is considered as the total cost of the tour. In addition, a Multi-Objective Variable Neighborhood Search (MOVNS) algorithm is designed to solve instances of this problem. Moreover, a, E - constraint method is implemented in CPLEX and used to evaluate the performance of the presented MOVNS. New instances of the problem are generated based on the existed benchmark OP instances. The conclusion is the high quality of the proposed MOVNS algorithm solutions in practically acceptable computation time (few seconds). Finally, a small case study based on real data on several POIs in the city of Tehran is generated and used to demonstrate the performance of the proposed model and algorithm in practice. For this case study, by using the multi-attribute decision-making method of TOPSIS, the obtained non-dominated solutions are ranked, and the best ones are presented to the tourist.

scholarly journals Developing a framework to revolutionise the 4D BIM process: IPD-based solution

2020 ◽  
Vol 20 (3) ◽  
pp. 401-420 ◽  
Author(s):  
Faris Elghaish ◽  
Sepehr Abrishami
Keyword(s):  
Architectural Design ◽  
Maximum Level ◽  
Project Delivery ◽  
Activity Based Costing ◽  
Project Schedule ◽  
Planning And Scheduling ◽  
Content Type ◽  
Multi Objective ◽  
The Creation

Purpose The integration of building information modelling (BIM) and integrated project delivery (IPD) is highly recommended for better project delivery. Although there is a methodology for this integration, the BIM requires some improvements to foster the adoption of IPD. The purpose of this paper is to present an innovative way to support 4D BIM automation/optimisation within the IPD approach. Similar to structural and architectural design libraries, this research proposes a planning library to enable automating the formulation of schedule, as well as embedding the multi-objective optimisation into the 4D BIM. Design/methodology/approach The literature review was used to highlight the existing attempts to support the automation process for 4D BIM and the multi-objective schedule optimisation for construction projects. A case study was done to validate the developed framework and measure its applicability. Findings The results show that there is a cost-saving of 22.86 per cent because of using the proposed automated multi-objective optimisation. The case study shows the significance of integrating activity-based costing into 4D BIM to configure the hierarchy level of overhead activities with the IPD approach; therefore, the maximum level of contribution in managing the IPD project is 33.33 per cent by the trade package level and the minimum contribution is around 8.33 per cent by the project level. Originality/value This research presents a new philosophy to develop the 4D BIM model – planning and scheduling – a BIM library of the project activities is developed to enable the automation of the creation of the project schedule with respect to the 3D BIM design sequence. The optimisation of the project duration is considered to be automated within the creation process by using the proposed genetic algorithm model.

A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case study

Energy ◽  
2018 ◽  
Vol 160 ◽  
pp. 410-429 ◽  
Author(s):  
Carlos D. Rodríguez-Gallegos ◽  
Dazhi Yang ◽  
Oktoviano Gandhi ◽  
Monika Bieri ◽  
Thomas Reindl ◽  
...  
Keyword(s):  
Robust Optimization ◽  
Optimization Approach ◽  
Grid Systems ◽  
Multi Objective ◽  
Diesel Generators
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