Evaluating Efficiency of Big-Bang Big-Crunch in Benchmark Engineering Optimization Problems
Hasançebi, Oğuzhan; Erol, Osman Kaan (2011-06-01)
Engineering optimization needs easy-to-use and efficient optimization tools that can be employed for practical purposes. In this context, stochastic search techniques have good reputation and wide acceptability as being powerful tools for solving complex engineering optimization problems. However, increased complexity of some metaheuristic algorithms sometimes makes it difficult for engineers to utilize such techniques in their applications. Big-Bang Big-Crunch (BB-BC) algorithm is a simple metaheuristic op...
Analysis of safety stock for production- inventory problem of a company under multiplicative form of forecast evolution
Kayhan, Mehmet; Erkip, Nesim; Güllü, Refik; Department of Industrial Engineering (2003)
In this thesis, we focus on integration issue of manufacturing and sales functions from the perspective of aggregate production planning. The manufacturing function and sales function are performed by separate affiliated companies of the same business group, which operate as an integrated supplier-buyer system. In particular, this study provides theoretical and practical insight into the use of forecast volatility measure to better match supply with demand so as to reduce the costs of inventory and stock-ou...
Optimization of transmission network for homogeneous good market
Vasin, A.; Gao, H.; Dolmatova, M.; Weber, Gerhard Wilhelm (Informa UK Limited, 2017-01-01)
We examine a model of a perfect competitive homogeneous good market with a network structure. Such a structure is typically important for energy resources: natural gas, oil and electricity. Local markets are connected by transmission lines with limited capacities and given cost functions for capacity increments. We consider the total welfare optimization problem and provide a method that determines optimal investments in the transmission system expansion for some types of the networks. In particular, we stu...
Optimization Of Product Design Through Quality Function Deployment And Analytical Hierarchy Process: Case Study Of A Ceramic Washbasin
Erkarslan, Önder; Yılmaz, Hande (Middle East Technical University, Faculty of Architecture, 2011)
Quality Function deployment (QFD) is a useful method for optimizing products which can be applied during the design process as well as in the postproduction process for further developments and revisions. This paper aims at examining the applicability of QFD and Analytic Hierarchy Process (AHP) to incorporate customer expectations and design quality into the product through a case study on a ceramic washbasin (1). In the first phase of the study customer needs and satisfaction are surveyed based on the curr...
A simulative model for optimum open pit design
Erarslan, K; Celebi, N (2001-10-01)
Previous research in the area of open pit mine optimization has focused on profit maximization by optimizing pit limits or optimizing production schedules. However, these two approaches are interrelated and dependent on each other. Recent studies have recognized the limitation of this optimization approach, Consequently, there is a need for a more comprehensive modelling strategy. Such an optimization model should incorporate mining activities that are simulated (as they are expected to occur) as much as po...
Citation Formats
A. Kalkanlı, “OPTIMIZATION OF PRODUCTION PARAMETERS OF ADI FOR INDUSTRY APPLİCATİONS,” 2013. Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/60004.