Kemal Kilic

Verified

Kemal verified their affiliation via an institutional email.

Learn more

Verified

Kemal verified their affiliation via an institutional email.

Learn more

• Ph. D.
• Professor (Full) at Sabancı University

This paper considers a joint transshipment, markdown, and clearance sales decisions of multiple products for a fast-fashion retailer that owns and operates a large network of retail stores. This problem is motivated by the logistics operations of the largest apparel retailer in Turkey, namely LC Waikiki. Particularly, the emphasis is on the followi...

The prediction of milling forces has been addressed using a range of methods, including physics-based models and data-driven approaches. Analytical predictions that rely on mathematical models may not always provide the desired level of accuracy, whereas data-based approaches require extensive testing. A hybrid approach, which combines physics-base...

The analytic hierarchy process (AHP) is a widely used multi-criteria decision-making method to address a variety of problems in the presence of conflicting or uncertain criteria. One of the key issue associated with AHP lies in the conversion of human intuition into the numerical values. To address this problem, the integration of fuzzy set theory...

In this paper a novel approach for monitoring tool-related faults in milling processes by utilizing process simulation-based machine learning algorithms, specifically Random Forest algorithms, for fault detection is presented. In order to train machine learning models in tool condition monitoring, laboratory tests have traditionally been required....

Linguistic labels are effective means of expressing qualitative assessments because they account for the uncertain nature of human preferences. However, to perform computations with linguistic labels, they must first be converted to numbers using a scale function. Within the context of the Analytic Hierarchy Process (AHP), the most popular scale us...

Linguistic labels are effective means of expressing qualitative assessments because they account for the uncertain nature of human preferences. However, to perform computations with linguistic labels, they must first be converted to numbers using a scale function. Within the context of the Analytic Hierarchy Process (AHP), the most popular scale us...

In this paper we present a novel transshipment problem for a large apparel retailer that operates an extensive retail network. Our problem is inspired by the logistics operations of a very large fast fashion retailer in Turkey, LC Waikiki, with over 475 retail branches and thousands of products. The purpose of transshipments is to rebalance stocks...

In this paper we present a novel transshipment problem for a large apparel retailer that operates an extensive retail network. Our problem is inspired by the logistics operations of a very large fast fashion retailer in Turkey, LC Waikiki, with over 450 retail branches and thousands of products. The purpose of transshipments is to rebalance stocks...

In this paper, motivated from a real problem faced by an online Virtual Reality (VR) platform provider, we study a personalized advertisement assignment problem. In this platform users log in/out and change their virtual locations. A number of advertisers are willing to pay for ad locations to reach these users. Every time a user visits a new locat...

In this paper we present a novel transshipment problem for a large apparel retailer that operates an extensive retail network. Our problem is inspired by the logistics operations of a very large fast fashion retailer in Turkey, LC Waikiki, with over 475 retail branches and thousands of products. The purpose of transshipments is to rebalance stocks...

Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers are utilized to represent human judgments more realistically. Over the past couple of decades, numerous articles have been published proposing algorithms through which priority vecto...

This Technical Report covers the proceedings and conclusions reached in the Workshop on Digitalization Strategies in Industry convened on June 8-9, 2017 at Sabancı University, Istanbul, Turkey. The number of participants was 97 all invited from industy, academia, and public institutions so as to secure a healthy mix of expertise, experience, and po...

We consider a personalized advertisement assignment problem faced by the manager of a virtual reality environment. In this online environment, users log in/out, and they spend time in different virtual locations while they are online. Every time a user visits a new virtual location, the site manager can show the ad of an advertiser. At the end of a...

In some applications, one needs not only to determine the relevant features but also provide a preferential ordering among the set of relevant features by weights. This paper presents a novel Hybrid Genetic Local Search Algorithm (HGA) in combination with the k-nearest neighbor classifier for simultaneous feature subset selection and feature weight...

This research arises from a real life problem that a third party solution partner of health care insurance companies in Turkey faces. The company develops Electronic Claim Processing System (ECPS) that private health care insurance companies utilize in order to check and validate whether an expenditure (i.e., claims) of their customers abides by th...

Preventive health care is of utmost importance to governments since they can make massive savings on health care expenditure and promote the well-being of the society. Preventive care includes many services such as cancer screenings, vaccinations, hepatitis screenings, and smoking cessation programs. Despite the benefits of these services, their up...

Preventive health care is of utmost importance to governments since they can make massive savings on health care expenditure and promote the well-being of the society. Preventive care includes many services such as cancer screenings, vaccinations, hepatitis screenings, and smoking cessation programs. Despite the benefits of these services, their up...

Analytic Hierarchical Process (AHP) is one of the most popular Multi-Criteria Decision Making (MCDM) tech-niques while fuzzy set theory is extensively incorporated into original AHP in order to address vagueness in human judgments. There are a number of algorithms proposed for Fuzzy AHP (FAHP), however. Fuzzy Extent Analysis (FEA) is one of the mos...

During project execution, especially in a multi-project environment project activities are subject to risks that may cause delays or interruptions in the baseline schedules. This paper considers the resource constrained multi-project scheduling problem with generalized activity precedence relations requiring multi-skilled resources in a stochastic...

This paper offers a comprehensive model of determinants of innovativeness based on empirical data gathered from 184 manufacturing firms located in the Northern Marmara region in Turkey. As opposed to studies that establish a relationship between a limited set of antecedents and innovativeness, this study allows us to investigate the significance of...

The paper analyzes the relations among the manufacturing firm’s innovativeness, operations priorities, and corporate performance. As opposed to common practice in the literature in which these relations are analyzed on a dichotomous (high vs. low) classification of innovativeness mostly based on product and/or process innovations, a taxonomy based...

The paper analyzes the relations among the manufacturing firm's innovativeness, operations priorities, and corporate performance. As opposed to common practice in the literature in which these relations are analyzed on a dichotomous (high vs. low) classification of innovativeness mostly based on product and/or process innovations, a taxonomy based...

Preventive health care is unlike health care for acute ailments, as people are less alert to their unknown medical problems. In order to motivate public and to attain desired participation levels for preventive programs, the attractiveness of the health care facility is a major concern. Health economics literature indicates that attractiveness of a...

During project execution unforeseen events which disrupt plans and budgets arise and yield higher costs due to missed due dates and deadlines, resource idleness, higher work-in-process inventory and increased system nervousness due to frequent rescheduling. In this study, we consider the resource constrained multi project scheduling problem with mu...

In this paper, a comprehensive model of innovation determinants is analyzed based on empirical data gathered from 184 manufacturing firms located in the Northern Marmara region in Turkey. As opposed to the studies that establish the relationship with a limited set of antecedents and innovativeness, this study allows us to investigate how significan...

Fuzzy systems approximate highly nonlinear systems by means of fuzzy “if–then” rules. In the literature, various algorithms are proposed for mining. These algorithms commonly utilize fuzzy clustering in structure identification. Basically, there are three different approaches in which one can utilize fuzzy clustering; the first one is based on inpu...

In this paper a new fuzzy system modeling (FSM) algorithm is introduced as a data analysis and approximate reasoning tool. The performance of the proposed algorithm is tested in two different data sets and compared with some well-known algorithms from the literature. In the comparison two benchmark data sets from the literature, namely the automobi...

Purpose – The main purpose of this paper is to investigate the direct and interactive effects of organizational support and human capital on the innovative performance of companies. Individual effects of the organizational support dimensions, namely: management support for generating and developing new business ideas, allocation of free time, conve...

In this paper a comprehensive framework that maximizes advertising revenues of a company in a personalized advertisement setting is presented. The research was motivated from a real life problem faced by a company that develops a web based 3-D virtual reality social platform. The objective of the research was both development of a novel business mo...

This study reports on the testing of the hypothesis that there is a positive relationship between business strategy and innovativeness. Business strategy is defined here to include market focus strategy, technology development strategy, and operations priorities -including cost, quality, delivery / dependability, and flexibility. An empirical study...

In this paper, we propose an improved fuzzy system modeling algorithm to address some of the limitations of the existing approaches identiÿed during our modeling with pharmacological data. This algorithm diiers from the existing ones in its approach to the cluster validity problem (i.e., number of clusters), the projection schema (i.e., input membe...

In this research a three staged hybrid genetic-fuzzy systems modeling methodology is developed and applied to an empirical data set in order to determine the hidden fuzzy if-then rules. The empirical data was collected in an earlier study in order to establish the relations among human capital, organizational support and innovativeness. The results...

Innovation is broadly seen as an essential component of competitiveness, embedded in the organizational structures, processes, products and services within a firm. The objective of this paper is to explore the effects of the organizational, process, product and marketing innovations on the different aspects of firm performance, including innovative...

In this paper a genetic algorithm based feature weighting methodology that is based on k-nn classifier is presented. The performance of the algorithm is evaluated in two folds. First of all, its differentiation capability among relevant and irrelevant features is evaluated. This is achieved by introducing dummy variables to a well known benchmark d...

In this paper, we propose an improved fuzzy system modeling algorithm to address some of the limitations of the existing approaches identiÿed during our modeling with pharmacological data. This algorithm diiers from the existing ones in its approach to the cluster validity problem (i.e., number of clusters), the projection schema (i.e., input membe...

In this paper the findings of an empirical study concerning the innovation determinants in manufacturing firms is presented. The empirical study covers 184 manufacturing firms located in the Northern Marmara region of Turkey. The types of innovation considered here are product, process, marketing and organizational innovations. An extensive literat...

In this paper, we present a Decision Support System (DSS) framework for innovation management. The proposed framework utilizes the data acquired by a web based questionnaire which is filled in by the upper managers of the manufacturing companies. The DSS compares their answers with the responds of the other companies existing in the database of the...

Abstract Purpose – The main purpose of this paper is to investigate the direct and interactive effects of organizational support and human capital on the innovative performance of companies. Individual effects of the organizational support dimensions, namely: management support for generating and developing new business ideas, allocation of free ti...

The main objective of this paper is to report on the findings of an empirical study on the determinants of innovativeness in manufacturing firms. The empirical study covers 184 manufacturing firms located in the Northern Marmara region of Turkey. The types of innovation are taken as product, process, marketing and organizational innovations as sugg...

This paper reports on elemental factor analyses of the innovativeness study in the Turkish manufacturing industry, drawing on a sample of 184 manufacturing firms. Factor structures are constructed in order to empirically test a framework identifying the relationships among innovativeness, performance and determinants of innovation. After several in...

Innovation is broadly seen as an essential component of competitiveness, embedded in the organizational structures, processes, products and services within a firm. The objective of this paper is to explore the effects of the organizational, process, product and marketing innovations on the different aspects of firm performance, including innovative...

A software company develops an online socialization platform where users inter-act with others at virtual environments. The company's income is from the adver-tisements displayed at these virtual envi-ronments. They are willing to develop a personalized advertisement system in or-der to increase their revenues. In this pa-per, a two phased methodol...

In the literature, various papers investigate the effects of the technological (product and process) innovations on firms performance. However, research on the effects of organizational innovations is rare. Furthermore, the performance of the firms is usually measured in terms of financial criteria such as the return on assets or equity and the res...

The objective of this paper is to report on the method, analysis, and conclusions concerning two research questions formulated as: What are the determinants of innovation at firm level?rdquo and ldquowhat is the impact of innovation on firm performance?rdquo The results are based on an empirical study covering 184 manufacturing firms in the Norther...

The main objective of this paper is to present a comprehensive and integrated model of innovation at the firm level and to discuss the effects of firm characteristics on the innovativeness capabilities of companies. The results are based on an empirical survey covering 184 manufacturing firms in the Northern Marmara region within Turkey. In this st...

DNA restriction maps are commonly used by researchers to determine relative locations of genes across genomes. In this work we propose a new method which is addition of a probabilistic approach to a known algorithm to solve the Simplified Partial Digest Problem. The DNA restriction map can be found by a new forward-looking method in which the proba...

Packing problems deal with loading of a set of items (ob-jects) into a set of boxes (containers) in order to optimize a performance criterion under various constraints. With the advance of RFID technolo-gies and investments in IT infrastructures companies now have access to the necessary data that can be utilized in cost reduction of packing proces...

Global competition has created multinational supply chains where raw materials production, marketing, and consumption can be in different countries in order to achieve cost-effective production and higher customer service levels by taking a systems approach to supply chain management. Therefore, a key to successful management is acquaintance with i...

In this paper, we design a new heuristic for an important extension of the minimum power multicasting problem in ad hoc wireless networks 20,21 . Assuming that each transmission takes a fixed amount of time, we impose constraints on the number of hops allowed to reach the destination nodes in the multicasting application. This setting would be appl...

In this paper, we described an application of the Analytic Hierarchy Process (AHP) for the ranking and selection of forecasting software. AHP is a multi-criteria decision making (MCDM) approach, which is based on the pair-wise comparison of elements of a given set with respect to multiple criteria. Even though there are applications of the AHP to s...

Fuzzy system modeling approximates highly nonlinear systems by means of fuzzy if-then rules. There are various fuzzy if-then rule structures based on their consequents. In the literature, different approaches are proposed for mining fuzzy if-then rules from historical data. These approaches usually utilize fuzzy clustering in structure identificati...

Fuzzy system modeling (FSM) is one of the most prominent system modeling tools in analyzing the data in the presence of uncertainty. Linguistic fuzzy rulebase (LFR) structure, in which both the antecedent and consequent variables are represented by fuzzy sets, is the most well known fuzzy rulebase structure in the literature. The proposed FSM metho...

The aim of this paper is to introduce the algorithm proposed in (Fuzzy Sets and System, 2002) and some further modifications. Its applications presented in (ibid; A comparison of five approaches for lithium dose and serum concentration prediction, IFSA-NAFIPS 2001, pp. 104-110) is reviewed as a full collection of its use in phar- macokinetic analys...

Fuzzy system modeling approximates highly nonlinear systems by means of fuzzy if-then rules. In the literature, different approaches are proposed for mining fuzzy if-then rules from historical data. These approaches usually utilize fuzzy clustering in structure identification phase. In this research, we are going to analyze three possible approache...

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-effective production and higher customer service levels can be achieved by taking a systems approach to supply chain management. Therefo...

In this paper, we propose an improved fuzzy system modeling algorithm to address some ofthe limitations ofthe existing approaches identi4ed during our modeling with pharmacological data. This algorithm di5ers from the existing ones in its approach to the cluster validity problem (i.e., number ofclusters), the projection schema (i.e., input membersh...

Various methodologies are proposed in the literature to predict lithium dose or serum concentration. The authors compare the performance of a fuzzy system modeling algorithm that has been proposed with four other algorithms in terms of their performance based on serum lithium concentration prediction. The first method is the "Zetin method" proposed...

Valproate (VPA) exhibits concentration dependent protein binding that has not yet been assessed in the elderly at higher doses. Fuzzy logic (FL) modeling was used to assess free fraction (FF) across a range of ages and doses in psychiatric patients (n=41, 14-85yr, 51% female) taking VPA (250-2500mg). From 84 steady-state VPA free and total concentr...

Fuzzy logic is a knowledge-based approach for modeling systems where variable relationships can be determined from input/output data and expressed as fuzzy sets in if-then rules. This study used fuzzy logic to predict serum lithium concentrations using naturalistic population data: a total of 171 serum lithium concentrations (mean 0.6 mmol/L, range...

In this paper, we propose a new dispatching rule and a set of local search algorithms based on the filtered beam search, GRASP and simulated annealing methodologies to construct short-term observation schedules of space mission projects, mainly for NASA's Hubble Space Telescope (HST). The main features of generating short-term observations of HST a...

Fuzzy system modeling approximates highly nonlinear systems by means of fuzzy if-then rules. In the literature, different approaches are proposed for mining fuzzy if-then rules from historical data. These approaches usually utilize fuzzy clustering in structure identification phase. In this research, we are going to analyze three possible approache...

Thesis (Ph. D.)--University of Toronto, 2002. Includes bibliographical references.

Abstract: In various industries, managers face the problem of setting prices dynamically over time and determining the replenishment quantities by a fixed deadline so as to maximize the expected profit over a finite and short selling horizon. This problem is especially significant for the retail industries which sell products with short life cycles...