scholarly journals CLIENT PROJECT TIME SCHEDULE CONTROLS — AN EMPIRICALLY-BASED SYSTEM DYNAMICS CONCEPTUAL MODEL

Author(s):  
Alfred Mutizwa Chitongo ◽  
Leon Pretorius
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Bastan ◽  
Masoumeh Zarei ◽  
Reza Tavakkoli-Moghaddam ◽  
Hamed Shakouri G.

Purpose The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry. Design/methodology/approach A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness. Findings In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran. Practical implications In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology. Originality/value In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.


Author(s):  
Donatas Kavaliauskas ◽  
Leonidas Sakalauskas

One of the most important tasks in modern construction is to build a building according to the desired time schedule. This requires a timetable for the construction stages processes. The schedule is also easy to adapt and to plan the renovation of a building or maintenance works. Without a good schedule site manager cannot effectively handle construction area processes. The solution to this problem is the proposed productivity bot concept based on metaheuristic algorithms. Metaheuristic algorithms allow to improve the construction planning process schedules compared with conventional planning methods and equipment. The results of testing with construction planning data has shown that the metaheuristic algorithm achieved the main improvements during the first planning optimization stages. The proposed concept is expected to present results that are close to the optimal timetable and surpass classical methods for scheduling. Productivity bots act as a software engine complementing with the organization of construction or automation functionality. Productivity bot is designed to manage building processes. It is intended for automated planning of construction stages schedules according to construction technologies.


Author(s):  
Meg Fryling

Like any IT project, the intricacy of Enterprise Resource Planning (ERP) implementations brings with it high risks to the organization because of high upfront costs and low success rates. ERP implementations are not simply software installations but a radical integration and transformation of an organization’s business practices. System acceptance and perceptions of success weight heavily on non-technical forces such as people, processes, policies, and organizational culture. This study employs system dynamics techniques to elicit perceptions regarding system acceptance and success in an ERP post-implementation case study setting. A conceptual model was developed based on various literature streams and structure validation was conducted with ERP experts via semi-structured interviews. The resulting model includes technology acceptance and information system success model concepts as well as theories from related literature. Interview findings and methodology reflections are also discussed in this paper.


Land ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 81 ◽  
Author(s):  
Richard Aspinall ◽  
Michele Staiano

Author(s):  
Bhakti S. S. Onggo

Conceptual modelling is the process of abstracting a model from a real or proposed system into a conceptual model. An explicit conceptual model representation allows the model to be communicated and analysed by the stakeholders involved in a simulation project. A good representation that can be understood by all stakeholders is especially essential when the project involves different stakeholders. The three commonly used paradigms in business applications are discrete-event simulation, agent-based simulation, and system dynamics. While the conceptual model representations in discrete-event simulation and system dynamics have been dominated by process-flow and stock-and-flow diagrams, respectively, research into the conceptual model representation in agent-based simulation is relatively new. Many existing representation methods for agent-based simulation models are less friendly to business users. This chapter advocates the use of Business Process Model and Notation (BPMN) diagrams for the agent-based simulation conceptual model representation in the context of business applications. This chapter also demonstrates how the proposed BPMN representation and other methods such as Petri Nets, DEVS, and UML are used to represent the well-known SugarScape model.


2013 ◽  
Vol 32 (4) ◽  
pp. 543-549 ◽  
Author(s):  
Hao Zhang ◽  
Javier Calvo-Amodio ◽  
Karl R. Haapala

2021 ◽  
Vol 328 ◽  
pp. 05003
Author(s):  
Ernaning Widiaswanti ◽  
Rika Yunitarini

Essential oil industry is a growing industry in Indonesia due to the abundance of raw materials. However, the current production rate is still not able to meet the demands of domestic and foreign industries. This research aims to map Indonesian essential oil agroindustry, which starts from the supply of raw materials at the farm level to the marketing of products of essential oils at the exporter level. This research employed system dynamics approach. A conceptual model was built to determine factors that influenced the production of essential oils along the supply chain and is presented in a causal loop diagram. The results of this research indicate that the price factor is the main factor influencing the production of essential oils, and can be used as a basis to assist in determining the strategy for developing essential oil agroindustry in the future. This research will be useful for policy makers, all business actors involved in the essential oil agroindustry, and future researchers.


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