scholarly journals Fuzzy-multi-mode Resource-constrained Discrete Time-cost-resource Optimization in Project Scheduling Using ENSCBO

2021 ◽  
Author(s):  
Ali Kaveh ◽  
Farivar Rajabi
Keyword(s):  
Discrete Time ◽  
Project Planning ◽  
Resource Optimization ◽  
Time Cost ◽  
Resource Constrained ◽  
Planning And Scheduling ◽  
Multi Objective ◽  
Construction Companies ◽  
Resource Leveling ◽  
Multi Mode

Construction companies are required to employ effective methods of project planning and scheduling in today's competitive environment. Time and cost are critical factors in project success, and they can vary based on the type and amount of resources used for activities, such as labor, tools, and materials. In addition, resource leveling strategies that are used to limit fluctuations in a project's resource consumption also affect project time and cost. The multi-mode resource-constrained discrete-time–cost-resource optimization (MRC-DTCRO) is an optimization tool that is developed for scheduling of a set of activities involving multiple execution modes with the aim of minimizing time, cost, and resource moment. Moreover, uncertainty in cost should be accounted for in project planning because activities are exposed to risks that can cause delays and budget overruns. This paper presents a fuzzy-multi-mode resource-constrained discrete-time–cost-resource optimization (F-MRC-DTCRO) model for the time-cost-resource moment tradeoff in a fuzzy environment while satisfying all the project constraints. In the proposed model, fuzzy numbers are used to characterize the uncertainty of direct cost of activities. Using this model, different risk acceptance levels of the decision maker can be addressed in the optimization process. A newly developed multi-objective optimization algorithm called ENSCBO is used to search non-dominated solutions to the fuzzy multi-objective model. Finally, the developed model is applied to solve a benchmark test problem. The results indicate that incorporating the fuzzy structure of uncertainty in costs to previously developed MRC-DTCRO models facilitates the decision-making process and provides more realistic solutions.

scholarly journals Discrete time-cost tradeoff model for optimizing multi-mode construction project resource allocation

2015 ◽  
Author(s):  
Shuangshuang Nie ◽  
Jihong Gao
Keyword(s):  
Discrete Time ◽  
Pareto Front ◽  
Optimization Technique ◽  
Time Cost ◽  
Resource Constrained ◽  
Baseline Model ◽  
Resource Leveling ◽  
Project Scheduling Problem ◽  
Resource Cost ◽  
Multi Mode

The resource-constrained project scheduling problem has received broad attentions and was evolved into various sub-problems such as resource-constrained discrete time-cost tradeoff problem. The resource leveling problem was proposed to reduce the resource fluctuation and was always studied independently with RCPSP. This research proposed a new model which integrates the resource leveling problem and resource-constrained time-cost tradeoff problem. The evolutionary multi-objective optimization technique, strength Pareto evolutionary approach II (SPEA II) was applied to calculate the Pareto front of time and cost. The resource leveling measured by the metric, resource release/re-hiring, was converted to resource cost. The analysis of the time complexity of the model showed that the runtime of the algorithm was polynomial times of the number of activities. The results of case testing showed that the model was reasonably accurate in comparison with a proposed baseline model.

Optimizing time, cost and quality in multi-mode resource-constrained project scheduling

2019 ◽  
Vol 9 (1) ◽  
pp. 44-63 ◽  
Author(s):  
Marimuthu Kannimuthu ◽  
Benny Raphael ◽  
Ekambaram Palaneeswaran ◽  
Ananthanarayanan Kuppuswamy
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Time Cost ◽  
Multi Objective Optimization ◽  
Resource Constrained ◽  
Content Type ◽  
Resource Constrained Project Scheduling ◽  
Multi Objective ◽  
Multi Mode

Purpose The purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment. Design/methodology/approach A case study approach identified the activity execution modes in building construction projects in India to support multi-mode resource-constrained project scheduling. The data required to compute time, cost and quality of each activity are compiled from real construction projects. A binary integer-programming model has been developed to perform multi-objective optimization and identify Pareto optimal solutions. The RR-PARETO3 algorithm was used to identify the best compromise trade-off solutions. The effectiveness of the proposed framework is demonstrated through sample case study projects. Findings Results show that good compromise solutions are obtained through multi-objective optimization of time, cost and quality. Research limitations/implications Case study data sets were collected only from eight building construction projects in India. Practical implications It is feasible to adopt multi-objective optimization in practical construction projects using time, cost and quality as the objectives; Pareto surfaces help to quantify relationships among time, cost and quality. It is shown that cost can be reduced by increasing the duration, and quality can be improved only by increasing the cost. Originality/value The use of different activity execution modes compiled from multiple projects in optimization is illustrated, and good compromise solutions for the multi-mode resource-constrained project scheduling problems using multi-objective optimization are identified.

Innovative Approaches in Project Management Blended Education

2013 ◽  
pp. 1406-1426
Author(s):  
Constanta Nicoleta Bodea ◽  
Corneliu Alexandru Bodea ◽  
Augustin Purnus ◽  
Ruxandra-Ileana Badea
Keyword(s):  
Project Management ◽  
Business Education ◽  
Project Planning ◽  
Education Programs ◽  
Master Program ◽  
Planning And Scheduling ◽  
Agent Based ◽  
Educational Simulations ◽  
Resource Leveling ◽  
Before And After

In recent years, many business education programs have focused on the development of competences, instead of knowledge transfer. For this reason, various innovative training approaches were adopted, including educational simulations. The increasing availability of the simulation resources also contributes to the proliferation of simulation in business education curricula. The chapter presents how the simulations were introduced in a Master degree program on Project Management, in project planning and controlling module. The Master program has a blended-learning approach, which nicely fits to the simulation requirements. The simulations are based on an agent-based model of the project resource leveling process, part of the project planning and scheduling topic. The authors made several evaluations of the students’ results before and after the simulations. The main conclusion of the experiment is that the educational simulations improve the competence development process, only if they are properly designed and performed.

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