Browsing by Author "Erton, Ceylin"

Now showing 1 - 2 of 2

Citation - Scopus: 3
Analytic Hierarchy Process (AHP) and Goal Programming Approach for a Real-Life Supplier Selection Problem
(Springer Science and Business Media Deutschland GmbH, 2024) Pınar Erdinç; Zeynep Buduneli; Çağla Gerşil; Ceylin Erton; Mert Paldrak; Efthimia Staiou; Erton, Ceylin; Erdinç, Pınar; Paldrak, Mert; Gerşil, Çağla; Staiou, Efthymia; Buduneli, Zeynep; N.M. Durakbasa , M.G. Gençyılmaz
In today’s intricate and competitive business environment the selection of suppliers plays a pivotal role in determining the success and efficiency of a company’s operations. Supplier selection is a multifaceted decision-making process that involves evaluating and comparing various factors such as quality cost lead time and reliability. To address the complexities inherent in this process organizations turn to advanced decision support methodologies. This study delves into a real-life supplier selection problem and explores the application of two prominent decision-making approaches: the Analytic Hierarchy Process (AHP) and Goal Programming. AHP provides a structured framework for systematically analysing complex decision criteria and preferences while Goal Programming facilitates the optimization of multiple conflicting objectives. The objective is the integration of AHP and Goal Programming to offer decision-makers a robust framework for analysing prioritizing and optimizing complex supplier selection problems. Effective supplier evaluation is crucial for the success of garment manufacturing facilities as it impacts the quality cost and timely delivery of raw materials and supplies required for production. AHP provides a structured approach to decision-making by breaking down complex decisions into a hierarchy of criteria and alternatives and enabling decision-makers to assign weights to each criterion based on their relative importance. Goal Programming on the other hand is a mathematical programming technique that helps decision-makers to find the best possible solution that satisfies multiple often conflicting objectives. This integration enables them to achieve a balanced and well-informed decision-making process aligned with the strategic goals and objectives of the organization. The combination of AHP and Goal Programming can provide a powerful decision-making framework for evaluating suppliers in garment manufacturing facilities. © 2024 Elsevier B.V. All rights reserved.
Citation - Scopus: 3
Applications of Statistical Process Control Quality Improvement Tools and Techniques and a Simulation Model in a Garment Manufacturing Company
(Springer Science and Business Media Deutschland GmbH, 2024) Pınar Erdinç; Zeynep Buduneli; Ceylin Erton; Çağla Gerşil; Mert Paldrak; Efthimia Staiou; Erton, Ceylin; Erdinç, Pınar; Paldrak, Mert; Gerşil, Çağla; Staiou, Efthymia; Buduneli, Zeynep; N.M. Durakbasa , M.G. Gençyılmaz
In the dynamic landscape of contemporary industrial production achievement in consistent product quality is of a paramount importance for any manufacturing enterprise. Among the various industries that require precision and attention to detail the garment manufacturing sector stands as a prime example. In this context this study aims to improve the process of detection and prevention of substandard fabrics entering the production process in a garment manufacturing company. The study utilizes statistical process control techniques such as the Individual-Moving Range (I-MR) control charts to monitor fabric critical-to-quality characteristics. Furthermore acceptance sampling methods are implemented to ensure that only fabrics meeting specifications are accepted for production. Additionally the project addresses sewing-related issues by improving the quality control checkpoints along the sewing line by using simulation. By conducting experiments within the simulated environment different quality control checkpoint configurations are tested to identify the most effective setup. The findings contribute to enhancing quality management practices in fabric procurement and sewing line operations minimizing financial losses improving customer satisfaction and ultimately bolstering the competitiveness of the garment manufacturing company. Furthermore the results shed light on the benefits of using Arena simulation for conducting comprehensive and cost-effective quality control evaluations. © 2024 Elsevier B.V. All rights reserved.