Bir Uygulama: Bir Beyaz Eşya Üretim Firmasının Boyahane Bölümünde Paralel Makineler için Sıraya Bağlı Kurulum Sürelerini içeren bir Model

Kasimoğlu, Selin; Demir, Gülce; Yaz, Berrak Pınar; Utku, Durdu Hakan

doi:10.47495/okufbed.779834

Cited by 4 publications

(2 citation statements)

References 22 publications

(26 reference statements)

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“…The study's objective is to improve and optimize the testing procedures on the manufacturing line. Kasimoglu et al [35] develop a mixed-integer programming model with sequence-dependent setup times that solve the excess buffer inventory problems in a white goods production company. Cavalcanti et al [36] propose an artificial intelligence methodology that integrates data envelopment analysis (DEA), machine learning-based simulation, and genetic algorithms for optimally solving the efficiency of manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization

Utku

2023

Sustainability

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Production delays are significant problems for the loss of goodwill of the customers and the loss of profits associated with them. The delays may accrue as a result of insufficient resource planning and poorly designed unsatisfactory procedures. In this study, a new mathematical model is proposed to optimize the production processes by minimizing production delays, and a simulation model is developed to test the alternative facility designs. The purpose is to increase customer satisfaction by ensuring that the products are delivered timely and preventing lost sales in an automotive company that manufactures garbage collectors by using real data. The mixed-integer programming problem related to the minimization of production delays is solved by the GAMS CPLEX 24.1.3 software. In this way, the total delay in the production area is minimized by the mathematical model to prevent labor and time loss. Accordingly, the alternative designs are investigated for the improvement of the production processes by using discrete system simulation. A system analysis is performed to determine the bottlenecks in the production processes by developing a simulation model via the ARENA simulation software. With the proposed facility layout alternatives, the delays are eliminated, the total production time is reduced, and an increase in production efficiency is observed.

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Section: Introductionmentioning

confidence: 99%

The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization

Utku

2023

Sustainability

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“…A significant cost reduction is observed with the policy implemented. Kasımoğlu et al [17] develop a mixedinteger programming model to solve the excess buffer inventory problems for a white goods production company with sequence-dependent setup times. Utku [18] proposes an optimization model and a simulation model to evaluate the bottlenecks and improve production procedures by investigating different alternatives at an automobile industry company.…”

Section: Introductionmentioning

confidence: 99%

An Application of an (R, S) Inventory Management Model for a Construction Materials Manufacturing Company by Using Simulation

Utku

2023

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Globalization has motivated companies to develop competitive strategies in today's business environment. In this context, they lead them to review their costs. When the cost items are analyzed, the most critical point that will give an advantage to companies in terms of cost is that companies healthily manage their inventory. Inventory management is of vital importance as the companies have a significant percentage in terms of cost and ensure that the customer demands are met in a timely and sufficient manner. This study focuses on the problems of the company's inventory control decisions that ensure balanced and minimum costs through effective inventory management. In this study, one-year data on demand, consumption, and inventory of a company that uses traditional methods including semi-finished products are considered. Since the demand is not known precisely and it is probabilistic, we apply the (R, S) inventory control model. We use simulation as a stochastic methodology to determine the inventory level of the construction company under consideration. As a result of the study, after comparing the actual data in the current system with the developed model we apply, it is observed that the cost reduction and its use provided additional benefits to the company.

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Bi̇r Üreti̇m Fi̇rmasinda İş Çi̇zelgeleme Problemi̇ İçi̇n Bi̇r Tam Sayili Programlama Modeli̇

2022

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In this study, a mixed-integer programming model is developed to minimize the total lateness and total completion time of the jobs in an automotive company. In order to respond rapidly to the continuous customer demand through the production, the work schedule of engineers in the research and development department is considered flexibly. Methodology: In the study, the mixed-integer programming model is supported by the analytical hierarchy process model to determine the weighted values of total tardiness and total completion times. The developed model is applied to the automotive company using the real data and the problem is solved using the GAMS CPLEX 24.1.3 software. Findings: In this job scheduling problem, the total completion time is decreased to 622 hours from 10149 hours, maximum tardiness is decreased to 9 hours from 104 hours and total tardiness is decreased to 13 hours from 860 hours by using the proposed model. Originality: The proposed model is used for the job scheduling purpose in compliance with the structure of the automotive industry company using the machine scheduling modeling principles and Analytical Hierarchy Process together.

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Bir Uygulama: Bir Beyaz Eşya Üretim Firmasının Boyahane Bölümünde Paralel Makineler için Sıraya Bağlı Kurulum Sürelerini içeren bir Model

Cited by 4 publications

References 22 publications

The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization

The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization

An Application of an (R, S) Inventory Management Model for a Construction Materials Manufacturing Company by Using Simulation

Bi̇r Üreti̇m Fi̇rmasinda İş Çi̇zelgeleme Problemi̇ İçi̇n Bi̇r Tam Sayili Programlama Modeli̇

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