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Articles 1 - 6 of 6
Full-Text Articles in Other Operations Research, Systems Engineering and Industrial Engineering
A Causal Model Of Performance Shaping Factors For Human Reliability Analysis In Manufacturing., Prameet Ranjan Jha
A Causal Model Of Performance Shaping Factors For Human Reliability Analysis In Manufacturing., Prameet Ranjan Jha
Electronic Theses and Dissertations
Human reliability analysis is a critical component of probabilistic risk assessment, aimed at predicting and mitigating human errors in complex systems. This dissertation develops a novel approach to human reliability analysis in manufacturing by integrating structural equation modeling and Bayesian networks to improve the estimation of human error probabilities. Traditional human reliability assessment methods, such as the Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) and the Technique for Human Error Rate Prediction (THERP), provide structured techniques for estimating human error probabilities. However, these methods often fail to capture the complex interdependencies among performance shaping factors (PSFs), limiting their applicability in …
Virtual Engagement: Can Law Enforcement Benefit From Utilizing Extended Reality In Their Training Systems?, Jacob Maxwell Read
Virtual Engagement: Can Law Enforcement Benefit From Utilizing Extended Reality In Their Training Systems?, Jacob Maxwell Read
Electronic Theses and Dissertations
Introduction: Extended reality (XR) technologies offer innovative training solutions for various industries, including healthcare, manufacturing, aviation, sports, military, and law enforcement. XR can provide a solution for training where job tasks are difficult or near impossible to train in real-life. A human factors research and design approach could provide an effective, low-risk, and cost and time-efficient option for integrating the use of XR technology into training for many industries. To advance this goal, this research answered two main research questions: (1) What training needs/challenges are best suited for an XR training system designed for law enforcement officers (LEOs)? (2) …
Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh
Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh
Electronic Theses and Dissertations
The parameters of real-world optimization problems are often uncertain due to the failure of exact estimation of data entries. Throughout the years, several approaches have been developed to cope with uncertainty in the input parameters of optimization problems, such as robust optimization, stochastic optimization, fuzzy programming, parametric programming, and interval optimization. Each of these approaches tackles the uncertainty in the input data with different assumptions on the source of uncertainty and imposes different requirements on the returned solutions. In this dissertation, the approach we take is that of interval optimization, and more specifically, interval linear programming. The two main problems …
Designing An Autonomous Goods-To-Person Order Picking System: From Storage To Pick., Mina Shekari Ashgzari
Designing An Autonomous Goods-To-Person Order Picking System: From Storage To Pick., Mina Shekari Ashgzari
Electronic Theses and Dissertations
In recent years, there has been an increased growth in e-commerce, which is a special case of a business-to-customer model. Among all the operations for fulfilling online orders, order picking has been the concern of many researchers and practitioners in the field of warehousing and material handling. This is due to very different technical assumptions and service expectations for online retailers compared to the case of business-to-business models. The most fundamental change in order processing, imposed by business-to-customer models, is shipping individual items or “eaches,” instead of cases and pallets, which is typical of business-to-business models. As a result, the …
A Multi-Period Facility Location Model For Service Organizations Operating In A Competitive Environment., Sven W. Brose
A Multi-Period Facility Location Model For Service Organizations Operating In A Competitive Environment., Sven W. Brose
Electronic Theses and Dissertations
This thesis develops a multi-period, mathematical programming location model for facilities operating in a competitive environment. The objective is to maximize the profit in a variable demand environment. The solution of the problem can either be done in a robust or in a dynamic manner. A robust solution methodology forecasts the demand for all the periods in the planning horizon and provides a robust solution that may be suboptimal for any given period, but optimal when all the periods are taken into consideration. A problem with this approach is that it requires accurate forecast of demand for multiple periods into …
Dynamic Warehouse Optimization Using Predictive Analytics., Parvaneh Jahani
Dynamic Warehouse Optimization Using Predictive Analytics., Parvaneh Jahani
Electronic Theses and Dissertations
The forward area is a small area of a warehouse with a low picking cost. Two approaches that are investigated for selecting the SKUs of this area and the allocated space are the static and the dynamic approaches. In the case that decisions about the forward area are made periodically (e.g. yearly) and the products' demand patterns are completely ignored, the FRP is static. We developed two heuristics that solve the large discrete assignment, allocation, and sizing problem simultaneously. Replenishing the same product in the same place of the forward area brings about a ``Locked" layout of the fast picking …