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    <title>Determination of carbon monoxide detector location in general aviation aircraft to improve safety</title>
    <link>http://hdl.handle.net/10057/1401</link>
    <description>title: Determination of carbon monoxide detector location in general aviation aircraft to improve safety authors: Ahmady, Ali; Assadi, Morteza; Muthuswamy, Selvakumar
&lt;br&gt;abstract: There are many sources of carbon monoxide (CO) leakage into the cabin of General Aviation (GA) aircraft.&#xD;
Exposure to CO, which is part of the engine exhaust in GA aircraft, can impede the pilot’s ability to direct the airplane&#xD;
which may lead to accidents. In order to prevent accidents, an electrochemical CO detector can be used to alert the pilot to&#xD;
the presence of CO. The objective of this study was to determine the best location for CO detector placement in GA aircraft.&#xD;
Early CO detection as well as visibility and accessibility of the detector were some of the parameters involved in&#xD;
determining the optimum CO detector location. Considering these issues, five detector placement locations were considered:&#xD;
visor, instrument panel, leg area of front seats (left and right sides), and rear seat. Field tests to monitor CO levels during GA&#xD;
flights were conducted at Kansas State University at Salina using data logging CO detectors. The results from these&#xD;
measurements have been categorized according to several different variables and then analyzed statistically. Measurements&#xD;
taken so far during the summer and early fall indicate that the majority of CO exposure events occurred on the ground&#xD;
before take-off. During such ground-based CO exposure events, the timing was consistent with open windows allowing&#xD;
exhaust fumes to enter the cockpit area. This paper will also discuss the results of additional measurements taken during the&#xD;
winter months when other modes of CO exposure may be involved.
&lt;br&gt;description: Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.
&lt;br&gt;</description>
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    <title>Review and classification of Kansei Engineering and its applications</title>
    <link>http://hdl.handle.net/10057/1400</link>
    <description>title: Review and classification of Kansei Engineering and its applications authors: Ahmady, Ali
&lt;br&gt;abstract: Using customer requirements and needs in the product development process has become a major subject in&#xD;
quality engineering. Many scholars have tried to develop systems that enable product developers and designers to consider&#xD;
customer requirements during the design process. Among them, Kansei Engineering (KE) is the first to consider customer&#xD;
feelings as input to the design process. KE is a Japanese word which doesn’t have an exact synonym in English but can be&#xD;
interpreted as sensibility, feeling, or aesthetics. KE was originated in Japan around 1970. Although applications of KE began&#xD;
from automotive industries, nowadays many other industries such as electric home appliance industry, office equipment&#xD;
industry and so on, have made extensive use of KE.&#xD;
There are six techniques for the implementation of KE concept: Category Classification, KE computer System, KE&#xD;
Modeling, Hybrid KE System, Virtual KE, and Collaborative KE. These techniques differ from each other in their&#xD;
approaches to apply KE in different development process situations in terms of information availability, complexity, and&#xD;
required performance.&#xD;
This paper presents a detailed critical review of the KE concept and a new classification based on computational and non&#xD;
computational approaches. It will also provide a review of the application of KE in different areas.
&lt;br&gt;description: Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.
&lt;br&gt;</description>
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    <title>Uncertain location routing problem (LRP) integrated to inventory considering space limitation</title>
    <link>http://hdl.handle.net/10057/1391</link>
    <description>title: Uncertain location routing problem (LRP) integrated to inventory considering space limitation authors: Sajjadi, Reza S.; Cheraghi, S. Hossein
&lt;br&gt;abstract: An optimal supply chain management system has a direct effect on the performance of any enterprise and could&#xD;
result in substantial cost savings. Successful supply chain management involves many decisions relating to the flow of the&#xD;
products. The decisions fall into three levels: strategic, tactical, and operational differentiated depending on the time horizon&#xD;
during which the decisions are made. Since decisions at these three levels are interdependent, optimizing at individual levels&#xD;
will lead to sub-optimal solution for the network. In this study, location as a strategic decision is combined with two tactical&#xD;
decisions: routing and inventory. First, location and routing decisions are combined to form location-routing problem (LRP).&#xD;
LRP can be defined as solving the following three sub- problems at the same time: locating one or more plants and&#xD;
warehouses among a set of potential plants and warehouses, assigning customers to selected depots, and determining routes&#xD;
from selected depots to assigned customers to minimize the cost of the supply network. Then, to make further improvements&#xD;
in the network, it is proposed to integrate an inventory model under the fixed interval order policy to the LRP. Since in the&#xD;
real world application, warehouses are limited by space capacity, a third logistic party copes with the space limitation if&#xD;
needed. Moreover, it is assumed that customers demand their multi- products requirement under stochastic condition. To&#xD;
solve such a model a heuristic solution is proposed.
&lt;br&gt;description: Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.
&lt;br&gt;</description>
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  <item rdf:about="http://hdl.handle.net/10057/1390">
    <title>Optimal distillers distribution planning in an ethanol supply chain</title>
    <link>http://hdl.handle.net/10057/1390</link>
    <description>title: Optimal distillers distribution planning in an ethanol supply chain authors: Iqbal, Qamar
&lt;br&gt;abstract: The ethanol industry in the United States is expanding rapidly, consequently, the amount of&#xD;
coproducts called distillers feed is also expanding at a rapid rate. These distillers can be fed to cattle because&#xD;
they are excellent source of protein, energy and phosphorus. As they are much cheaper than corn and soybeans,&#xD;
a successful attempt to replace corn and soybeans with distillers feed may provide significant advantages to&#xD;
both ethanol producers and the feedlots. In this paper we propose a supply chain model which minimizes the&#xD;
overall cost of distribution of distillers. We will present a case study on Kansas Ethanol plants.
&lt;br&gt;description: Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.
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