Now showing items 1-13 of 13

• A genetic algorithm metaheuristic for bakery distribution vehicle routing problem with load balancing ﻿

(2011-05)
In this paper, we analyze a distribution problem at a bakery company in Istanbul, Turkey. The bakery wants to distribute products with the available fleets of trucks, while maintaining balance in workload between different ...
• A nonlinear approach for integrated marketing-economic production quantity problem ﻿

(2010-12)
Pricing is a key activity in determining any firm's profit in a supply chain due to the competitive nature of markets. Consequently, modeling the relation between marketing and manufacturing departments in a manufacturing ...
• Acoustical properties of electrospun nanofibers for aircraft interior noise reduction ﻿

(2009)
Electrospun micro and nanofibers produced via electrospinning method were used for the sound absorption purposes. Polymers were initially dissolved in dimethyleformamide (DMF) or ethanol with a ratio of 80:20 and ...
• Active learning in supply chain management course ﻿

(2015-06)
This paper presents an active learning approach implemented in the Supply Chain Management (SCM) course. In this course, the fundamentals of supply chain and logistics, drivers of supply chain performance and analytical ...
• Computational methods for congestion toll pricing models ﻿

(IEEE Intelligent Transportation Systems, 2001-08)
In earlier work a toll pricing framework for congestion pricing has been developed for both fixed and elastic demand traffic assignment models as an alternative to traditional marginal social cost pricing. Within the ...
• Energy consumption of VA hospital CT scans ﻿

(IEEE, 2011-05)
• A framework to minimize total energy consumption and total tardiness on a single machine ﻿

(Wichita State University. Graduate School., 2008-04-25)
A great amount of energy is wasted in industry by machines which stay idle due to underutilization. A way to avoid consuming the wasted energy is to incorporate energy consumption into consideration while making the ...
• Genetic algorithm to solve a multi-objective scheduling problem ﻿

(Wichita State University. Graduate School., 2007-04-27)
Energy is expensive and a potential way to reduce energy consumption may be through using intelligent scheduling techniques. In this paper, we propose a genetic algorithm to solve a single machine scheduling problem where ...
• A global learning experience in supply chain logistics management ﻿

(2004)
Global competition created multinational supply chains where raw materials from different countries are manufactured in a country, marketed in another, and consumed by consumers in different countries so that cost ...