Implementation and Evolution of the Critical Chain Method: A Case Study

Author(s):  
U. Apaolaza ◽  
A. Lizarralde
Keyword(s):  
2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Tatiana Gondim do Amaral ◽  
Zhou Guan Chen ◽  
Vitor Hugo Martins E Resende ◽  
Marcos Antônio De Sousa

RESUMO: Levantamentos realizados apontam atrasos em obras gerando insatisfações aos clientes, motivando processos judiciais sobre as construtoras além de custos indiretos adicionais no projeto, levando a prejuízos ao mesmo. Mediante o exposto são necessárias ferramentas mais eficazes para o controle de prazo de obra. Assim, o trabalho visa aplicar e avaliar o método da corrente crítica no planejamento e controle físico de obras, calculando o pulmão do projeto utilizando duas técnicas distintas: Métodos Número Fuzzy trapezoidal (TrFN) e cinquenta por cento. Portanto, realizou-se um estudo de caso de um empreendimento mixed use em Goiânia e um acompanhamento dos serviços estruturais de uma junta, que estão presentes na corrente crítica do projeto. Assim, ao avaliar e comparar os pulmões resultantes, durações calculadas e reais do projeto, se conclui que o Método TrFN é o que mais se aproxima à duração real, pois consulta especialistas; e, mais se integra à equipe, aumentando a aplicabilidade do planejamento, pois os executores do projeto participam na elaboração do mesmo. Já o Método dos Cinquenta por Cento é mais fácil de ser calculado, com a definição mais prática do pulmão resultando um planejamento mais rápido. Baseando-se nesses cálculos, a principal contribuição do trabalho é comparar os resultados de cada técnica quanto à sua agilidade de aplicação, precisão em relação ao real e aplicabilidade em obra. ABSTRACT: Conducted surveys indicate delays in projects that impact clients, allowing lawsuits over Construction Company and overhead costs of the project, enabling the economic impracticability of it. Through the above are needed more effective tools for term control of the project. Therefore, the work objective is to implement and evaluate the method of the critical chain in the planning and physical control of the project by calculating the project buffer using two different techniques: Trapezoidal Fuzzy Number (TrFN) and Fifty percent Method. Therefore, there was a case study of a mixed use building in Goiânia and monitoring of structural services of a joint, which are present in the project critical chain. Thus, to evaluate and compare the resulting buffer, calculated duration and really happened duration, it is concluded that the TrFN method comes closest to real time as it consults experts; and more integrates the team, increasing the applicability of planning, because the project performers are involved in preparing it. Now the fifty percent method is easier to be calculated with faster definition of the buffer and planning. Based on this calculus, the main contribution of this work is to compare the results of each technique in: application agility, application accuracy, applicability during construction.


2009 ◽  
Vol 27 (4) ◽  
pp. 419-432 ◽  
Author(s):  
M. Bevilacqua ◽  
F.E. Ciarapica ◽  
G. Giacchetta

Author(s):  
N. Abidah ◽  
Muataz Al Hazza

Performing the Critical Chain Scheduling (CCS) and Buffer Management (BM) in project management has recently risen as one of the most popular project management approaches. The critical Chain Scheduling (CCS) approach is replacing the traditional scheduling method to reduce the uncertainty associated with time schedules. The research highlights the importance of critical chain scheduling in project execution by investigating using buffers in the critical paths and the feeding baths in project management using a real case study. The case study was studied by analyzing the schedule provided and then implementing CCS and BM using four different methods. The methods are cut and paste (C&PM), the root square method (RSEM), the Adaptive procedure with resource tightness, and the Adaptive procedure with network density (APND). The buffer size obtained for each method was determined. From the result got, for project buffer in adaptive approach with network density method yields a larger buffer size compared to the adaptive procedure with resource tightness method. While for feeding buffer also show that APND resulted in a larger buffer size than APRT. Finally, the proposed buffer size was investigated and simulated using the What if approach.


Author(s):  
Vittal S. Anantatmula ◽  
James B. Webb

Critical Path (CP) method has been under scrutiny in recent years as the next evolution of project schedule development, the Critical Chain (CC) project management is gaining attention. Advocates of the Critical Chain method cite the Critical Path method's failure to address uncertainty properly. The purpose of this paper is to apply some of the features of the Critical Chain concepts to traditional approach of Critical Path for projects. More importantly, this research effort aims to demonstrate the applicability of CCPM to managing a portfolio of projects. The analysis, based on a critical review of past studies, experiments in both Critical Path and Critical Chain techniques, and a case study, presents recommendations to gain benefits of Critical Chain in a traditional Critical Path scheduling environment and to manage portfolio of projects or programs using some of the concepts of the Critical Chain Method.


2019 ◽  
Vol 50 (3) ◽  
pp. 322-334 ◽  
Author(s):  
Robert Eduardo Cooper Ordoñez ◽  
Mario Vanhoucke ◽  
José Coelho ◽  
Rosley Anholon ◽  
Olívio Novaski

In 1997, Eliyahu Goldratt proposed a method called critical chain project management (CCPM) to minimize the inefficiencies identified in traditional project management. The project management community accepted the proposed method as a viable alternative. However, to allow its implementation with a multiproject system, more research was necessary. Seeking to identify the key factors that influence the performance of the multiproject system applying the CCPM method, we performed a case study. Logistic regression analysis showed that applying the CCPM method in a multiproject system allows for better time estimation of activities and facilitates the allocation of critical resources.


2019 ◽  
Vol 9 (1) ◽  
pp. 48-55
Author(s):  
Jaydeep Balakrishnan ◽  
Chun Hung Cheng

Abstract Given the creation of different types of knowledge propositions in project and production management, we discuss what we call ‘evangelical’ propositions and what as knowledge intermediaries our role should be in its dissemination. We examine both proposition accuracy as well as the process by which the proposition was arrived at. We suggest strategies for knowledge intermediaries to adopt in order to achieve balance in evaluating these developments. Further, we support our suggestions by examining the development of the Theory of Constraints (TOC) and Critical Chain Project Management (CCPM) and the debate that has accompanied these, as a case study. The debate relates to how much of the knowledge proposition in these is really new and whether the method of developing the proposition was lacking in some sense. Knowledge intermediaries, those who are expected to play an important role in disseminating knowledge, will be better prepared to deal with similar innovations in a balanced manner, by analyzing the case of TOC/CCPM.


Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 215 ◽  
Author(s):  
Mengqi Zhao ◽  
Xiaoling Wang ◽  
Jia Yu ◽  
Lei Bi ◽  
Yao Xiao ◽  
...  

Construction duration and schedule robustness are of great importance to ensure efficient construction. However, the current literature has neglected the importance of schedule robustness. Relatively little attention has been paid to schedule robustness via deviation of an activity’s starting time, which does not consider schedule robustness via structural deviation caused by the logical relationships among activities. This leads to a possibility of deviation between the planned schedule and the actual situation. Thus, an optimization model of construction duration and schedule robustness is proposed to solve this problem. Firstly, duration and two robustness criteria including starting time deviation and structural deviation were selected as the optimization objectives. Secondly, critical chain method and starting time criticality (STC) method were adopted to allocate buffers to the schedule in order to generate alternative schedules for optimization. Thirdly, hybrid grey wolf optimizer with sine cosine algorithm (HGWOSCA) was proposed to solve the optimization model. The movement directions and speed of grey wolf optimizer (GWO) was improved by sine cosine algorithm (SCA) so that the algorithm’s performance of convergence, diversity, accuracy, and distribution improved. Finally, an underground power station in China was used for a case study, by which the applicability and advantages of the proposed model were proved.


Author(s):  
Maurizio Bevilacqua ◽  
Filippo Emanuele Ciarapica ◽  
Giovanni Mazzuto

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