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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Condition Assessment Of End-Of-Use Products For Remanufacturing, Jovan Morgan Jan 2017

Condition Assessment Of End-Of-Use Products For Remanufacturing, Jovan Morgan

ROEU 2016-17

The goal of the project is to use the automated 3-D laser scanner using a Capnut as a test object to detect surface defects, corrosion and calculation error through offline quality inspection. potentially reducing labor time and cost for both consumers and manufacturers.


Reusable Medical Equipment Inventory Assessment At A Detroit Medical Center, Tannaz Khaleghi Jan 2017

Reusable Medical Equipment Inventory Assessment At A Detroit Medical Center, Tannaz Khaleghi

Wayne State University Theses

In recent years an outstanding growth has been observed in utilizing various medical devices due to growing demand. When both the quantity and quality into account, the price of medical devices becomes a critical factor to maintain cost/profit balances in financial systems. As a result healthcare systems should put more emphasis on how many of the trays they buy and store as their inventory due to high costs. Adequate levels of reusable medical equipment (RME) inventory is crucial for many healthcare systems

due to the RME equipment being expensive. On the other, the RME availability for vital departments such ...


Developing Innovation Capability In A Mass Production Organization, Mark Douglas Dolsen Jan 2017

Developing Innovation Capability In A Mass Production Organization, Mark Douglas Dolsen

Wayne State University Dissertations

ABSTRACT

DEVELOPING INNOVATION CAPABILITY IN A MASS PRODUCTION ORGANIZATION

by

MARK DOLSEN

May 2017

Advisor: Dr. Ratna Babu Chinnam

Major: Industrial Engineering

Degree: Doctor of Philosophy

Auto parts manufacturing is a key element of the North American automotive supply chain, and a significant component of the economy of Ontario, Canada. Employment in this sector declined 40% from 2003 to 2010 as the industry experienced a recession, and many firms relocated to lower wage jurisdictions as the Canadian currency strengthened against the US dollar. Experts contend that the solution for the industry lies in innovation; however, recommendations found in the current ...


Essays On Stochastic Programming In Service Operations Management, Sina Faridimehr Jan 2017

Essays On Stochastic Programming In Service Operations Management, Sina Faridimehr

Wayne State University Dissertations

Deterministic mathematical modeling is a branch of optimization that deals with decision making in real-world problems. While deterministic models assume that data and parameters are known, these numbers are often unknown in the real world applications.The presence of uncertainty in decision making can make the optimal solution of a deterministic model infeasible or sub-optimal.

On the other hand, stochastic programming approach assumes that parameters and coe¬Āfficients are unknown and only their probability distribution can be estimated. Although stochastic programming could include uncertainties in objective function and/or constraints, we only study problems that the goal of stochastic programming ...


Product Development Resilience Through Set-Based Design, Stephen H. Rapp Jan 2017

Product Development Resilience Through Set-Based Design, Stephen H. Rapp

Wayne State University Dissertations

Often during a system Product Development program external factors or requirements change, forcing system design change. This uncertainty adversely affects program outcome, adding to development time and cost, production cost, and compromise to system performance. We present a development approach that minimizes the impacts, by considering the possibility of changes in the external factors and the implications of mid-course design changes. The approach considers the set of alternative designs and the burdens of a mid-course change from one design to another in determining the relative value of a specific design. The approach considers and plans parallel development of alternative designs ...


Human-Machine Interface Development For Modifying Driver Lane Change Behavior In Manual, Automated, And Shared Control Automated Driving, Walter Joseph Talamonti Jan 2017

Human-Machine Interface Development For Modifying Driver Lane Change Behavior In Manual, Automated, And Shared Control Automated Driving, Walter Joseph Talamonti

Wayne State University Dissertations

Rear-end crashes are common on U.S. roads. Driver assistance and automated driving technologies can reduce rear-end crashes (among other crash types as well). Braking is assumed for forward collision warning (FCW) and automatic emergency braking (AEB) systems. Braking is also used for adaptive cruise control (ACC) and in automated driving systems more generally. However, steering may be advised in an emergency if the adjacent lane is clear and braking is unlikely to avoid a collision. Steering around an obstacle when feasible also eliminates the risk of becoming the new forward collision hazard. Driver assist technology like emergency steer assist ...


Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics, Fling Finn Tseng Jan 2017

Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics, Fling Finn Tseng

Wayne State University Dissertations

Applications of Condition-Based Maintenance (CBM) technology requires effective yet generic data driven methods capable of carrying out diagnostics and prognostics tasks without detailed domain knowledge and human intervention. Improved system availability, operational safety, and enhanced logistics and supply chain performance could be achieved, with the widespread deployment of CBM, at a lower cost level. This dissertation focuses on the development of a Mutual Information based Recursive Gustafson-Kessel-Like (MIRGKL) clustering algorithm which operates recursively to identify underlying model structure and parameters from stream type data. Inspired by the Evolving Gustafson-Kessel-like Clustering (eGKL) algorithm, we applied the notion of mutual information to ...