Simulating Construction Bidding Using Agent-Based Modeling Sadegh Asgari, Ali Shafaat
Competitive bidding is the main mechanism for allocation of construction projects and consequently price determination of the construction services in the A/E/C industry. While different aspects of construction bidding have been studied in the literature, there is still a need for developing a comprehensive model that captures the complex dynamics of bidding environment by considering interactions among its components, most importantly construction contractors. This paper discusses the advantages of agent-based modeling in simulating the construction bidding process over the previously applied methodologies.» Mehr lesen
Major City Evacuation Planning Using Simulation Modeling A, Kirby, J.E. Dietz, E. Matson, J. Pekny, C. Wojtalewicz and J. Pekny
Disaster, whether manmade or natural, can have a catastrophic impact on a populated area. Sometimes, the disaster is so devastating that it requires a large-scale evacuation. As a result, evacuation plans have become a necessity. One such evacuation plan is the regional hub reception center (RHRC), which will help evacuate the careless population when an evacuation is needed. Using AnyLogic as a simulation modeling software, an RHRC model was developed to test the efficiency of the proposed plan.» Mehr lesen
Simulation Software Comparison Based on ORMS Today-2015 Comparison
The comparison of AnyLogic and other simulation tools is inspired by ORMS Today Simulation Software Survey published in October, 2015. “ORMS Today” journal, published by a global institute of operational management and analytics “INFORMS”, completed a detailed comparison of popular tools for discrete-event modelling. In 2015 it was supported by 31 developers and 55 tools. Data, used in the research, was kindly presented by the developers themselves.» Mehr lesen
Agent-based population model used to identify and evaluate dog population management strategies L. Kisiel, A. Jones-Bitton, A.L. Greer; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON Canada; CEFUTREMA
Developing countries are faced with finding novel and humane ways to permanently reduce and control their dog population. Agent-based models developed to describe dog populations represent a unique, platform for using computer based simulation to identify control strategies with the greatest potential for success, aid in the design of more effective control measures, and provide a means to evaluate the success of different interventions.» Mehr lesen
A Plant-Level, Spatial, Bioeconomic Model Of Plant Disease Diffusion And Control: Grapevine Leafroll Disease Shady S. Atallah, Miguel I. Gómez, Jon M. Conrad, and Jan P. Nyrop, University of New Hampshire
Grapevine leafroll disease threatens the economic sustainability of the grape and wine industry in the United States and around the world. This viral disease reduces yield, delays fruit ripening, and affects wine quality. Although there is new information on the disease spatial-dynamic diffusion, little is known about profit-maximizing control strategies. Using cellular automata, we model the disease spatial-dynamic diffusion for individual plants in a vineyard, evaluate nonspatial and spatial control strategies, and rank them based on vineyard expected net present values.» Mehr lesen
A heuristic approach taking operators’ fatigue into account for the dynamic assignment of workforce to reduce the mean flowtime A. Ferjani, A. Ammar, H. Pierreval, A. Trabelsi, Clermont University
In order to cope with the frequent unpredictable changes that may occur in manufacturing systems, and to optimize given performance criteria, the assignment of workers can be decided online in a dynamic manner, whenever the worker is released. Several studies, in the ergonomics literature, have shown that individuals' performances decrease because of their fatigue in work. In manufacturing context, the workers’ fatigue impacts the task durations. Therefore, we propose to solve the online workers assignment problem through a heuristic, which takes this workers' fatigue into consideration, so as to minimize the mean flowtime of jobs.» Mehr lesen
The Effect of Cellular Interactions on Cancer Cell Growth Using Evolutionary Game Theory Mihir Paithane, Student, Science, Technology, Engineering, and Math (STEM) Center at Mills E. Godwin High School
In this experiment, game theory was used to assess the interactions between three cell phenotypes usually found in cancer. The three defined cells were autonomous growth cells, invasive and motile malignant cells, and cells that performed anaerobic glycolysis. Based on preset variables in the payoff matrix, analytical equations were deduced that allowed for the analysis of the proportion of autonomous growth and malignant cells in a tumor. AnyLogic was also used to simulate the interactions between cancerous and normal cells.» Mehr lesen
Evaluation of Agent-Based and Discrete-Event Simulation for Modeling Construction Earthmoving Operations E. Zankoul, H. Khoury and R. Awwad.
One of the most common operations to any construction project is earthwork. In fact, most, if not all, construction projects begin with earthwork activities. These activities require heavy equipment, are generally quite costly and consume a considerable amount of time.» Mehr lesen
A Hybrid Simulation Framework for Integrated Management of Infrastructure Networks Mostafa Batouli, Ali Mostafavi, Florida International University. Winter Simulation Conference, 2014.
The objective of this paper is to propose and test a framework for integrated assessment of infrastructure systems at the interface between the dynamic behaviors of assets, agencies, and users. For the purpose of this study a hybrid agent-based/mathematical simulation model is created and tested using a numerical example related to a roadway network.» Mehr lesen
Integrated Simulation Approach for Assessment of Performance in Construction Projects: a System-of-Systems Framework Jin Zhu, Ali Mostafavi. Winter Simulation Conference, 2014.
This research proposes and tests an integrated framework for bottom-up simulation of performance in construction projects. The proposed framework conceptualizes construction projects as systems-of-systems in which the abstraction and micro-simulation of dynamic behaviors are investigated at the base-level consisting of the following elements: human agents, information, and resources.» Mehr lesen