Endüstri Mühendisliği Ana Bilim Dalı Tez Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/419

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The effect of game-based learning in lean production and lean six sigma training
(Abdullah Gül Üniversitesi, 2019) KURT ÖZDEN, BURCU; AGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü; KURT ÖZDEN, BURCU
Nowadays, business leaders and managers are highly concerned about the sustainability of their success. In the business world, there are many leaders, companies, products, and even industrial areas that have a short-term reputation. What is the key to be at the top constantly and to keep the competition ability at a high level in such an environment? Most small and big companies try to find answers to this question. For this reason, they try to implement different strategies and innovations to improve their process and standards. Accordingly, we face the Lean Production System, Six Sigma, and Lean Six Sigma concepts. Japanese employees of Toyota Company developed the Lean Production system after the Second World War. It is a methodology “that is based on the elimination of all wastage in the enterprise and respect for human,” The leading position of Japanese companies with their works has attracted the attention of American companies in particular. The Six Sigma method, which includes quality improvements to meet the expectations of the customer, was implemented under the leadership of Motorola, which was an American Company. In the 2000s, the Lean Six Sigma management system, which simultaneously used Lean Production techniques with Six Sigma techniques, has emerged. Lean Six Sigma is a management philosophy that aims to reduce waste, increase productivity, and improve product quality in line with customer demands and expectations. One of the most critical elements in Lean Production and Lean Six Sigma systems is to respect human beings and to value people. For Lean Production and Lean Six Sigma systems to be successful, when these techniques are no longer mandatory and become a company culture, success is sustainable, the right techniques should be provided with the ii right training for these systems to be able to become the culture. Since companies implementing Lean Production and Lean Six Sigma system cannot make the right choice in training and cannot make their employees adapt to this culture, new improvement systems can cause misfortune of the companies. This study, which aims to solve the difficulties of the companies in the selection of training with a technical point of view, will contribute to both the applications in the production facilities and the academic literature. In this study, the Lean Production System, Six Sigma Method, Lean Six Sigma Method are explained in general, new lean game is designed and the effect of using gamebased learning techniques on Lean Production and Lean Six Sigma training is discussed. The aim of this thesis is: 1. To analyze the effects of game-based learning in training that use Lean Production and Lean Six Sigma management system on learning and 2. To guide the companies on selecting the right training techniques.
Flow-based p-hub median interdiction problem
(Abdullah Gül Üniversitesi, 2017) BENLİ, ABDULKERİM; AGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü; BENLİ, ABDULKERİM
There are two players in a network interdiction problem: a network user who wishes to operate a system optimally, and an opponent/interdictor who tries to prevent the system from operating optimally. Interdiction problems can be modeled as a bi-level min-max or max-min problem in the Stackelberg Game logic. In this thesis, we handle the interdiction problem within the context of the p-hub median problem. The network user solves the problem of locating p hubs to minimize the cost associated with operating the network. In response to the network user, the interdictor tries to maximize network user’s cost by removing hub characteristics of effective hubs with its limited resources. The p-hub median problem of the network user is modeled on the flow-based networks. The model we develop in this study, unlike the previous literature, does not require the complete network and enables one to find the correct solution in cases that do not provide triangle inequality between nodes. Therefore, this new model provides significant advantages regarding the solution times and modeling capabilities compared to the facility interdiction models offered by the literature.
PRIORITY REGIONS FOR DEVELOPMENT ASSISTANCE FOR HEALTH: AN EVIDENCE-BASED APPROACH
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021) Chbani, Zakaria; AGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
Eligibility and allocation criteria of development assistance for health have received much attention in the last years. Critical issues have been raised on the usage of GNI per capita (GNIpc) as a sole indicator for this task. The major critics emphasize the GNIpc overlooks the changes in characteristics of middle-income countries (MICs). These countries now have the highest proportion of poor people and disease burden, combined with significant inequalities. Various alternative frameworks have been suggested that tried to avoid the issues GNIpc failed to take into account. This thesis attempts to build on previous works and introduce a data-driven methodology of developing a framework that guides eligibility and aid allocation decisions. The framework combines health status measures (estimating the level of wellness and illness of a population) and measures of capacity of response to the disease burden. We use Disability Adjusted Life Years (DALYs) as a measure of health status. To determine the measures of capacity, the starting point was to assemble relevant indicators in the literature. Using these indicators, feature selection then allowed to choose a minimal set of discriminative ones. Finally, an aggregate of chosen indicators enables ranking countries by order of priority. Comparing the framework with GNIpc and other frameworks show its potential usefulness. It is better than most other frameworks in targeting countries with a high disease burden and populations in extreme poverty. Moreover, it integrates some concerns other frameworks failed to address.

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