Simulation based optimal evacuation plan in vertical ship lift: a case study

2020 ◽  
Vol 37 (5) ◽  
pp. 1757-1786 ◽  
Author(s):  
Jian-Ping Wang ◽  
Mei-Ru Wang ◽  
Jian-Lan Zhou ◽  
Qing-Jun Zuo ◽  
Xun-Xian Shi

Purpose The purpose of this study is to develop optimal evacuation plan to provide valuable theoretical and practical insight in the fire evacuation work of similar structures, by proposing a systematic simulation-based guided-evacuation agent-based model (GAM) and a three-stage mathematical evacuation model to investigate how to simulate, assess and improve the performance efficiency of the evacuation plan. Design/methodology/approach The authors first present the self-evacuation and guided-evacuation models to determine the optimal evacuation plan in ship chamber. Three key performance indicators are put forward to quantitatively assess the evacuation performance within the two fire scenarios. The evacuation model in tower is built to obtain the dividing points of the three different fire evacuation plans. Findings The study shows that the optimal evacuation plan determined by the GAM considering social relationships effectively relieves the congestion or collision of evacuees and improves the evacuation uniformity. The optimal evacuation plan not only solves the crush caused by congestion or collision of evacuees but also can greatly shorten the evacuation time for passenger ship fire. Originality/value This study establishes the GAM considering the interactive evacuee characteristics and the proportion of evacuees guided by the crew members to make the optimal evacuation plan more time-efficient. The self-evacuation process is simulated to assess the performance of the guided-evacuation strategies, which are used to verify the effectiveness and feasibility of the optimal evacuation plan in this research.

2019 ◽  
Vol 14 (4) ◽  
pp. 278-291
Author(s):  
Milla Syrjänen ◽  
Airi Hautamäki ◽  
Natalia Pleshkova ◽  
Sinikka Maliniemi

Purpose The purpose of this paper is to explore the parental sensitivity and self-protective strategies of parents with attention deficit hyperactivity disorder (ADHD) and those of their children. Design/methodology/approach Six parents with ADHD and their under 3-years-old children participated. One parent took part with her both children. The data included seven parent-child dyads. The parents were interviewed with the modified Adult Attachment Interview. Parental sensitivity was assessed using the CARE-Index. The self-protective strategies of the children were assessed with The Strange Situation Procedure or the Preschool Assessment of Attachment. Findings The study showed a variety of the self-protective strategies of parents with ADHD as well as those of their children. Three subgroups were formed on the basis of risk as indicated by Crittenden’s gradient of transformation of information. Parents displayed complex self-protective strategies as well as unresolved traumas, which impaired their sensitivity and ability to engage in mutual regulation of arousal and emotion. The parents’ needs of self-protection compromised their ability to protect and comfort their child that is their sensitivity. The children’s protective strategies matched those of their parents in regard to complexity as mediated by parental sensitivity. Originality/value This multiple-case study demonstrates new ideas to be tested with quantitative methods in larger samples. There are no previous studies which have examined both the attachment strategies and sensitivity of parents with ADHD connecting these with the evolving attachment strategies of their children.


2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.


2016 ◽  
Vol 23 (6) ◽  
pp. 429-443 ◽  
Author(s):  
Saša Baškarada ◽  
Arvind Chandran ◽  
Mina Shokr ◽  
Christopher Stewart

Purpose In addition to requiring high absorptive capacity, contemporary organizations operating in highly dynamic and complex environments also require the ability to create knowledge internally, within the organization. While the organizational learning (OL) literature has produced a plethora of theories and frameworks, there has been relatively little empirical research on specific mechanisms for internal knowledge generation. Accordingly, this paper aims to answer calls for more research on mechanisms for internal generation of organizational knowledge. Design/methodology/approach This paper is an in-depth case study in the Australian Defence Organisation (ADO). Findings The paper presents a cyclical eight-stage knowledge generation process and demonstrates how agent-based modeling and simulation (ABMS) may be used to facilitate OL. Originality/value By detailing an in-depth case study of an ABMS mechanism for internal knowledge generation in the ADO, this paper provides a novel and relevant contribution to the OL literature.


2016 ◽  
Vol 118 (4) ◽  
pp. 809-823 ◽  
Author(s):  
Esther van Asselt ◽  
Sjoukje Osinga ◽  
Harry Bremmers

Purpose – The purpose of this paper is to simulate compliance behaviour of entrepreneurs in the Netherlands based on the Table of Eleven: 11 factors determining compliance (based on economic, cognitive, social and institutional factors). Design/methodology/approach – An Agent-Based Model (ABM) was developed that could incorporate both individual and group behaviour and allowed to evaluate the effect of various intervention strategies. For this purpose, a case study on the compliance of pig farmers with antibiotics legislation in the Netherlands was used. Findings – The effect of social factors (acceptance of legislation and social influence) on compliance levels was tested as well as the number of inspectors. This showed that the model can help to choose the most optimal intervention strategy depending on the input parameters. Research limitations/implications – Further expansion of the model may be necessary, e.g. including economic factors, in order to reflect real-life situations more closely. Practical implications – The model can be used by inspection services to effectively implement their control programme. Originality/value – The developed ABM is a first attempt to simulate compliance behaviour and as such contributes to the current limited knowledge on effective intervention strategies.


2020 ◽  
Vol 40 (3) ◽  
pp. 315-340
Author(s):  
Anton Shevchenko ◽  
Mark Pagell ◽  
Moren Lévesque ◽  
David Johnston

PurposeThe supply chain management literature and agency theory suggest that preventing supplier non-conformance—a supplier's failure to conform to the requirements of the buyer—requires monitoring supplier behavior. However, case studies collected to explore how buyers monitored suppliers revealed an unexpected empirical phenomenon. Some buyers believed they could prevent non-conformance by either trusting their suppliers or relying on a third party, without monitoring their behavior. The purpose of this article is to examine conditions when buyers should monitor supplier behavior to prevent non-conformance.Design/methodology/approachThis article employs a mixed-method design by formulating an agent-based simulation grounded in the case-study findings and agency theory to reconcile observed unexpected behaviors with scholarly suggestions.FindingsThe simulation results indicate that buyers facing severe consequences from non-conformance should opt to monitor supplier behavior. Sourcing from trusted suppliers should only be reserved for buyers that lack competence and have a small number of carefully selected suppliers. Moreover, buyers facing minor consequences from non-conformance should generally favor sourcing from trusted suppliers over monitoring their behavior. The results also suggest that having a third-party involved in monitoring suppliers is an effective path to preventing non-conformance.Originality/valueBy combining a simulation with qualitative case studies, this article examines whether buyers were making appropriate decisions, thereby offering contributions to theory and practice that would not have been possible using either methodological approach alone.


2014 ◽  
Vol 31 (7) ◽  
pp. 751-763 ◽  
Author(s):  
Dong-Young Kim ◽  
Young-Ha Hwang

Purpose – The purpose of this paper is to present a self-certification framework for assessing technological innovation and certifying superior products. The paper discusses how and why organizational efforts to implement the self-certification program can lead to product and process innovation. Design/methodology/approach – Using the case study method in a large government-sponsored research and development institute, the authors examined the effectiveness of the proposed framework. Findings – The finding indicates that the success of the self-certification program is dependent on the ability of a firm to manage processes. The result also suggests that it is critical to develop an internal-driven motivation and ensure the strong commitment of top management when implementing the self-certification program. The finding reveals that the voluntary certification program has a positive effect on innovation and marketing performance. Originality/value – This study makes three contributions. First, the paper offers valuable insights on the use of a self-certification framework as a problem-solving tool in the innovation process. Second, based on the self-regulation theory, this study enhances the understanding of the potential of control in facilitating technological innovation. Third, the paper provides practical guidance about the application of self-assessment at the project level.


2017 ◽  
Vol 29 (4) ◽  
pp. 590-609 ◽  
Author(s):  
Federico Barnabè ◽  
Maria Cleofe Giorgino

Purpose This paper builds on the debate regarding the application of Lean strategy principles and tools in modern organizations, specifically focusing on the healthcare (HC) sector. The purpose of this paper is threefold: first, to highlight the potential role played by Lean strategy tools for strategic planning and management, particularly in reference to the Hoshin Kanri policy deployment system and the “focus, alignment, integration, and review” (FAIR) method; second, to discuss how Lean strategy can be operationalized, specifically relying on the X-Matrix reporting tool; and third, to explore how simulation techniques, in the form of role-playing (RP), may support the aforementioned operationalization of Lean strategy while at the same time promoting policymaking and knowledge sharing. Design/methodology/approach This research adopts a case study approach. Specifically, the paper relies on the use of a RP Lean strategy project developed in a HC setting. Findings The paper highlights the potential for the Hoshin Kanri policy deployment process in HC, also emphasizing the main strengths of X-Matrix reporting and the usefulness of the RP technique to support learning acquisition and decision making. Practical implications The paper demonstrates how a Lean strategy simulation project may be effectively used for strategic planning/management and to train professionals in HC. To achieve these aims, a methodology to design and implement simulation-based Lean strategy projects in HC is presented and discussed. Originality/value A review of the academic literature indicates that Lean strategy is still an emerging research topic addressed by only a limited number of articles. The paper contributes to a deeper understanding of the fundamentals of Lean strategy (particularly Hoshin Kanri and X-Matrix) with particular reference to the HC sector.


Author(s):  
Ario Muhammad ◽  
Raffaele De Risi ◽  
Flavia De Luca ◽  
Nobuhito Mori ◽  
Tomohiro Yasuda ◽  
...  

AbstractDeveloping an effective tsunami evacuation plan is essential for disaster risk reduction in coastal regions. To develop effective tsunami evacuation plans, real transportation network, interaction among evacuees, and uncertainties associated with future tsunami events need to be considered in a holistic manner. This study aims to develop such an integrated tsunami evacuation approach using agent-based evacuation simulation and advanced stochastic tsunami hazard assessment. As a case study, a urban area in Padang, Indonesia, threatened by tsunamis from the Mentawai–Sunda subduction zone, is adopted. The uncertainty of the tsunami hazard is taken into account by generating 900 stochastic tsunami inundation maps for three earthquake magnitudes, i.e. 8.5, 8.75, and 9.0. A simplified evacuation approach considering the evacuees moving directly to evacuation areas (defined a priori) is compared with two more rigorous agent-based modeling approaches: (a) a two-destination-point tsunami evacuation plan developed by the local government and (b) a multiple-destination-point plan developed in this study. The improved agent-based stochastic tsunami evacuation framework with multiple destinations takes advantage of the extensive tsunami hazard analyses to define safe areas in a dynamic manner and is capable of capturing the uncertainty of future tsunami risk in coastal areas. In contrast, the results clearly show that the simplified approach significantly underestimates the evacuation time, and the existing tsunami evacuation routes identified by local authorities may be insufficient to save lives.


Author(s):  
Zhenqiang Wang ◽  
Gaofeng Jia

AbstractTypically, tsunami evacuation routes are marked using signs in the transportation network and the evacuation map is made to educate people on how to follow the evacuation route. However, tsunami evacuation routes are usually identified without the support of evacuation simulation, and the route effectiveness in the reduction of evacuation risk is typically unknown quantitatively. This study proposes a simulation-based and risk-informed framework for quantitative evaluation of the effectiveness of evacuation routes in reducing evacuation risk. An agent-based model is used to simulate the tsunami evacuation, which is then used in a simulation-based risk assessment framework to evaluate the evacuation risk. The route effectiveness in reducing the evacuation risk is evaluated by investigating how the evacuation risk varies with the proportion of the evacuees that use the evacuation route. The impacts of critical risk factors such as evacuation mode (for example, on foot or by car) and population size and distribution on the route effectiveness are also investigated. The evacuation risks under different cases are efficiently calculated using the augmented sample-based approach. The proposed approach is applied to the risk-informed evaluation of the route effectiveness for tsunami evacuation in Seaside, Oregon. The evaluation results show that the route usage is overall effective in reducing the evacuation risk in the study area. The results can be used for evacuation preparedness education and hence effective evacuation.


Author(s):  
Ariel Yerushalmi ◽  
Lauren Folk ◽  
Hannah Carton ◽  
John Gales ◽  
Ata Khan ◽  
...  

Wildland Urban Interface (WUI) communities are situated at the interface between human development and wildland fuel. In addition to their proximity to susceptible regions, routes of evacuation in WUIs are often limited, posing great risks to these communities in the event of a natural disaster. To begin the research herein, a Canadian WUI community in central Canada was selected as a case study to investigate assembly and evacuation patterns during a fire evacuation to illustrate the complexity of the situation and the current research needs required. First stage simulations of evacuations were performed in the traffic simulation software PTV VISSIM, which extracted useful data including evacuation times and related parameters. Results demonstrated that the predictive power of the software is limited by its ability to incorporate effects of human behaviour and the fire behaviour itself. Thus, extending these findings to include the need for evacuee behaviour and fire dynamics for the formation of a more complete strategic evacuation plans for communities at risk of wildfires.


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