{"title":"A Simulation Model to Determine Staffing Strategy and Warehouse Capacity for a Local Distribution Center","authors":"Rodrigo De la Fuente, J. Gatica, Raymond L. Smith","doi":"10.1109/WSC40007.2019.9004806","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004806","url":null,"abstract":"Capacity and workforce management in a distribution center can have significant impacts on the overall supply chain. This paper examines the effects of workforce staffing strategies employed in the warehouse operations of a beverage distribution center located in the Bio-Bio Region, Chile. The workforce is responsible for unloading and storing inbound product shipments from distant production plants, as well as retrieving and preparing outbound product shipments for local delivery. A simulation model was used to guide how to improve warehouse operations as measured by load preparation time, workforce staffing costs, and maximum storage capacity utilization. The results recommend increasing warehouse pallet storage capacity to improve efficiency. Additionally, scenarios were evaluated concerning the firm’s willingness-to-pay for improvements related to workforce staffing and training. The results indicate that investing in the workforce will reduce the firm’s load preparation time by as much as 15%.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Simulation Analysis of Large Contests with Thresholding Agents","authors":"Wen Shen, Rohan Achar, C. Lopes","doi":"10.1109/WSC40007.2019.9004668","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004668","url":null,"abstract":"Running contests has been an effective way to solicit efforts from a large pool of participants. Existing research mostly focuses on small contests that typically consist of two or several perfectly rational agents. In practice, however, agents are often founded in complex environments that involve large numbers of players, and they usually use thresholding policies to make decisions. Despite the fact, there is a surprising lack of understanding of how contest factors influence their outcomes. Here, we present the first simulation analysis on how parameters of the contest success function, the population dynamics, and the agents’ cutoff policies influence the outcomes of the contests with thresholding agents that are non-cooperative. Experimental results demonstrate that stakeholders can design (approximately) optimal contests to satisfy both their interests and the agents’ by choosing a relatively low bias factor. Our work brings new insights into how to design proper competitions to coordinate thresholding agents.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monte Carlo Simulations to Teach the Effect of Lean Methods to Improve Business Processes","authors":"J. Maleyeff, C. G. Corlu","doi":"10.1109/WSC40007.2019.9004777","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004777","url":null,"abstract":"This paper presents two Monte Carlo simulations that we use in our Operations Management course to support the teaching of Lean concepts. Students are experienced and inexperienced, international and domestic, and technically savvy and technically challenged, and the course is taught both online and on campus. The educational aims of the simulations are to teach our students: (1) the concept of variation and its impact on service system throughput; (2) how capacity buffers work and that they can add significant cost; and (3) how Lean approaches that remove non-value-added activities can result in customer experience improvements without adding significant cost. We achieve these aims through the use of two service system simulations – one that can be done manually and the other that uses Excel.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128987643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impacts of Behavioral Modeling Assumptions for Complex Adaptive Systems: An Evaluation of an Online Dating Model","authors":"A. J. Turner, J. Kuczynski","doi":"10.1109/WSC40007.2019.9004665","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004665","url":null,"abstract":"This paper investigates the impact of behavioral modeling assumptions for a Complex Adaptive System (CAS) model. We hypothesize that behavioral models can be overconfident in their predictions due to the challenges of modeling behavior. Supporting this hypothesis, this paper discusses the challenges of modeling behavior, presents a CAS example problem to design an online dating app, models the dating app as a CAS, and investigates the impacts of different behavioral models on the design. This paper shows how similar behavioral models can have a significant impact on the simulation results. This paper highlights the challenge our community faces moving forward with valid behavioral models. Finally, we call for the community at large to address these challenges by collaboratively researching and comparing behavioral models so as to guide future modelers.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Airspace Collision Risk Simulator for Safety Assessment","authors":"Jiangjun Tang, H. Abbass, S. Alam","doi":"10.1109/WSC40007.2019.9004764","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004764","url":null,"abstract":"Modelling the spatio-temporal dynamics and evolution of collision risk in an airspace is critical for multiple purposes. First, the model could be used to diagnose the critical points where the level of risk has escalated due to particular airspace configurations and/or events. Second, the model could reveal information on the rate of risk-escalation in an airspace, which could be used as a risk indicator in its own right. The aim of this paper is to present an Airspace Collision Risk Simulator for safety assessment. This is achieved by developing a fast-time simulator with a suitable fidelity for spatial-temporal analysis of collision risk using clustering methods. This simulator integrates the airspace model, flight aerodynamic model and traffic flow model to facilitate the collision risk computations and visualization. The proposed simulator is a first attempt to provide actionable information on the evolution of airspace collision risk for airspace safety assessment, offering practical benefits to the operational air traffic control environment.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coordinated Control of Multi-Zone Avs/Rs, Conveyors And Pick-Up Operations In Warehouse System","authors":"Donghuang Li, Jeffrey S. Smith, Yingde Li","doi":"10.1109/WSC40007.2019.9004925","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004925","url":null,"abstract":"During recent years, Autonomous Vehicle Storage and Retrieval Systems (AVS/RS) have been widely applied to meet the increasing demand for rapid and flexible large-scale storage and retrieval tasks. This paper focuses on the control strategies for coordinating the subsystem operations with regard to the conveyor system, rack storage system and pick-up system in order to maximize the system’s throughput capacity and minimize the storage/retrieval times of items in an e-commerce picking warehouse. The study is based on a large-scale shoe manufacturer’s warehouse with an eight-zone AVS/RS. We describe a simulation model that was built to validate the proposed control strategies and thus provides insights for system management.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114347168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation Solution Validation for An Integrated Emergency Post","authors":"M. Mes, M. Koot","doi":"10.1109/WSC40007.2019.9004705","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004705","url":null,"abstract":"Simulation solution validation concerns the comparison between the expected and actual performance of a solution provided by a simulation model. Such a comparison might become challenging when not only the implementation of the solution changed the environment, but also the processes and data have changed. We illustrate this challenge using a case study at an Integrated Emergency Post (IEP), which is a collaboration between a general practitioners post and a hospital’s emergency department to provide out-of-hours emergency care. After performing a simulation study, our solution has been implemented, after which data has been gathered for two years. We validated the solution by performing various comparisons, using simulated and realized performance, under the original and changed data and processes, and with and without the proposed solution. We propose a solution validation framework to structure these comparisons, and provide key insights regarding solution validation, using our case study at the IEP.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114716018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation Based Evaluation and Tuning of Distributed Fraud Detection Algorithm","authors":"J. Grabis, Arturs Rasnacis","doi":"10.1109/WSC40007.2019.9004738","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004738","url":null,"abstract":"A community based fraud detection is one of the methods to ensure trustworthiness of Internet resources. The TrustSearch platform has been developed to provide community based fraud detection services. It allows Internet user to submit application reporting potential fraudulent Internet resources and relies on a consensus seeking algorithm to approve or reject the application. The system exhibits complex and dynamic behavior, and simulation is used to evaluate its performance and to determine appropriate operational parameters. The objective is to find an appropriate trade-off between evaluation accuracy and efficiency what is a characteristic challenge in distributed decision-making systems. An agent-oriented simulation model is developed and experimental studies are conducted. It has been shown that sufficiently high evaluation accuracy can be achieved and the results are remarkably robust. However, a relatively large number of participants is required. The community based platform uses blockchain technologies to reward participants for their contributions.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127987919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agent-Based Model Characterization Using Natural Language Processing","authors":"J. Padilla, David Shuttleworth, Kevin O'Brien","doi":"10.1109/WSC40007.2019.9004895","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004895","url":null,"abstract":"This paper reports on Natural Language Processing (NLP) as a technique to analyze phenomena towards specifying agent-based models (ABM). The objective of the ABM NLP Analyzer is to facilitate nonsimulationists to actively engage in the learning and collaborative designing of ABMs. The NLP model identifies candidate agents, candidate agent attributes, and candidate rules all of which non-simulationists can later evaluate for feasibility. IBM’s Watson Natural Language Understanding (NLU) and Knowledge Studio were used in order to annotate, evaluate, extract agents, agent attributes, and agent rules from unstructured descriptions of phenomena. The software, and related agent-attribute-rule characterization, provides insight into a simple but useful means of conceptualizing and specifying baseline ABMs. Further, it emphasizes on how to approach the design of ABMs without the use of NLP by focusing on the identification of agent, attributes and rules.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Heuristics for Making Qualification Management Decisions in Wafer Fabs","authors":"Denny Kopp, L. Mönch","doi":"10.1109/WSC40007.2019.9004941","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004941","url":null,"abstract":"We discuss qualification management problems arising in wafer fabs. Steppers need to be qualified to process lots of different families. A qualification time window is associated with each stepper and family. The time window can be reinitialized as needed and can be extended by on-time processing of lots from qualified families. Due to the NP-hardness of the qualification management problem, heuristic approaches are required to tackle large-sized problem instances arising in wafer fabs in a short amount of computing time. We propose fast heuristics for this problem. The binary qualification decisions are made by heuristics while the real-valued quantities for each family and stepper are determined by linear programming. We conduct computational experiments based on randomly generated problem instances. The results demonstrate that the proposed heuristics are able to compute high-quality solutions using short computing times.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131970326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}