Profile URL: https://hdl.handle.net/20.500.13091/11811
Job Title:Doç. Dr.
Email Address:asarucan@ktun.edu.tr
Main Affiliation:02.09. Department of Industrial Engineering
Status: Current Staff
ORCID:
0000-0001-5582-2456
0000-0001-5582-2456Scopus ID:
54405086400
54405086400YÖK Akademik: 9418B4FA7D39E681
Google Scholar:
-zu9_BwAAAAJ
-zu9_BwAAAAJWeb of Science ID:
ABG-1861-2021
ABG-1861-2021Name Variants:
Sarucan, A.
43 results
Scholarly Output Search Results
Now showing 1 - 10 of 43
Article Combining 3-Opt and Improved Discrete Cuckoo Search Algorithm for the Traveling Salesman Problem(Wiley, 2024-01-01) Sarucan, A.; Berkaya, M. F.The traveling salesman problem (TSP) is a well-known NP-hard combinatorial optimization problem. In TSP, the objective is to find the shortest distance to the most appropriate route to the starting city. Finding an optimal solution in a reasonable time becomes difficult as the number of cities increases. In recent years, metaheuristic methods obtained optimal or near-optimal solutions in TSP in an acceptable time. This paper proposes a new hybrid metaheuristic method for solving the TSP. The proposed method is developed by combining the 3-Opt method and the improved discrete cuckoo search algorithm. The performance of the proposed method is tested on 39 different benchmark problems in the TSPLIB library. For the 39 different benchmark problems with a size of less than 150 cities, the proposed hybrid method found optimal solutions. In addition, it was observed that as the problem size increases, the results obtained are closer to the optimum compared to other methods. When compared to studies in the literature using the same problem, similar or better results were obtained. For 500 iterations, the average best solution of the proposed method differed from the average optimal solution by 0.07%. In the results of the improved discrete cuckoo search algorithm (CSA), this rate was calculated to be 0.08%. In terms of processing time, the average time of the proposed algorithm was 11.46 seconds, while the average time of the improved discrete CSA was 92.86 seconds. For 1000 iterations, the deviation of the proposed method from the average optimal solution is 0.05%, and the average processing time is 23.72 seconds. The experimental results showed that the proposed new hybrid-improved discrete CSA is effective for solving TSP.Master Thesis Dağıtık Permütasyon Akış Tipi Çizelgeleme Problemlerinin Yapay Arı Koloni Algoritması ile Çözümü(Konya Teknik Üniversitesi, 2019) Arseven, İpek; Sarucan, AhmetBu çalışmada amaç fonksiyonu minimum tamamlanma süresi olan dağıtık permütasyon akış tipi çizelgeleme problemleri ele alınmıştır. Bu problemin klasik akış tipi çizelgeleme probleminden farkı, işlerin birden fazla fabrikaya dağıtılmasıdır. Problemin çözümünde doğadaki arıların besin arama davranışını temel alan yapay arı koloni algoritması kullanılmıştır. Algoritmanın başlangıç çözümleri üretmesinde NEH sezgiselinden yararlanılmıştır. Algoritmanın evrelerinde, (işçi, gözlemci ve kâşif arı evresi) komşu çözümler için yer değiştirme metodu kullanılmıştır. Bu metotta rastgele seçilen iki işin yerleri değiştirilerek farklı iş sıraları elde edilmiştir. Algoritmanın problem üzerindeki başarısı literatürde iyi bilinin Taillard'ın küçük ve büyük boyutlu test problemleri kullanılarak gösterilmiştir. Algoritma, 14 adet sezgisel ile karşılaştırılmıştır ve en iyi sonuçları sunmuştur.Article A Fuzzy Multi-Criteria Decision Making Methodology for Job Evaluation(Bentham, 2022-09-01) Sarucan, Ahmet; Söğüt, Aysel; Baysal, Mehmet EminIn this study, the integrated methods Hesitant Fuzzy Analytic Hierarchy Process (HF-AHP), Fuzzy COmplex Proportional Assessment (F-COPRAS), and Fuzzy Technique for Order Performance to Ideal Solution (F-TOPSIS) were used for job evaluation studies in a food company. There has been a decline in employee performance in the company. Unfair wages and unequal workload were identified as the reasons for the failure. Therefore, it has been observed that the staff turnover rate in the company is quite high. The objective is to determine a fair wage policy that will increase employee satisfaction by stratifying with job evaluation analysis between positions. The experts of Human Resources Department determined eight competency evaluation criteria for job evaluation studies in the proposed approach. Based on their judgments on these criteria, the competencies were rated using a linguistic scale and the weighting values were calculated using the HF-AHP method. These values are inputs for the next stage. Employees were ranked using F-COPRAS and F-TOPSIS methods. This study showed that the integrated method can be an effective alternative solution approach for calculating the weighting values and ranking of competencies in job evaluation studies. It has been shown that the use of the strata created as a result of this study is a great facilitator in determining employee pay policies.Conference Object Citation - WoS: 1Citation - Scopus: 1A Meta-Heuristic Approach To the Single Machine Scheduling Problem With Periodic Maintenance(Springer Science and Business Media Deutschland GmbH, 2022) Büyüközkan, Kadir; Baysal, Mehmet Emin; Yalçın, Cahit; Sarucan, AhmetA major challenge facing manufacturing companies is working together on scheduling and maintenance activities. The machine shuts down for various reasons, which causes disturbances in production schedules. These problems are often overlooked in research. This study deals with the problem of the periodical maintenance of a single machine, which is subject to the constraints of the periodic availability of the machine. A new solution method is suggested for the problem with an ABC (Artificial Bee Colony) algorithm. As far as we know, this is the first study to address the issue of periodic maintenance of a single machine using the ABC algorithm. An operation-based sequence of sequential integers is adopted to solve it using the ABC algorithm. To update the array, the solution with the highest ordinal value is replaced by a non-dominant solution in each particular cycle. The efficiency of the ABC has been demonstrated by the use of sample sets. Altogether, 500 problems have been solved. For comparison purposes, the relative percentage difference for each sample was computed. The results of these calculations indicate that the proposed method is very satisfying. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Article İşletmelerde Olgunluk Modellerinin Kullanımının Araştırılması: Bibliyometrik Analiz Yöntemi(2025) Sarucan, Ahmet; Kokcam, Abdullah Hulusi; Engin, Orhan; Aydoğmuş, Ufuk; Aydoğmuş, Hacer YumurtacıAmaç – Olgunluk modelleri, organizasyon süreçlerinin performansını ölçmek için kullanılan etkili bir yöntemdir. Bu modeller, organizasyonların belirli bir yetkinliğe sahip olup olmadığı ve bu yetkinliğin ne sıklıkla tekrarlandığı hakkında bilgi sağlamaktadır. Bu sayede, organizasyonların güçlü yönlerini geliştirmelerine ve zayıf yönlerini düzeltmelerine yardımcı olunur. Bu çalışmada, olgunluk modeli literatürünün kapsamlı olarak araştırılmasıyla güncel konuları ortaya çıkarmak, daha sonra gerçekleştirilecek çalışmalar için kaynak oluşturmak amaçlanmıştır. Yöntem– Olgunluk modellerinin kullanımının araştırılmasında, bibliyometrik analiz yöntemi kullanılmıştır. Bibliyometrik analiz, araştırma ilerleyişi hakkında kararlar verme, araştırma önceliklerini belirleme, haritalama ve araştırma mükemmeliyetine ulaşma gibi konularda yararlı bilgiler sağlayan bir yöntemdir. Bibliyometrik analiz için, 1988-2023 yılları arasında “WoS” veri tabanında, olgunluk modelleri ile ilgili yayınlanmış çalışmalar taranarak bir veri seti oluşturulmuştur. Veri önişleme ve analiz süreçlerinde R-Studio yazılımı üzerinden Bibliometrix paketinde yer alan Biblioshiny web arayüzü kullanılmıştır. Bulgular – Olgunluk modeli alanında gerçekleştirilen yayınların sayıları, alanda etkili yazarlar, etkili ülkeler, etkili kaynaklar, yayınların atıf analizleri ve Türkiye’de gerçekleştirilen yayınlara yönelik analizler ortaya konulmuştur. Literatürde, olgunluk modeli konusu üzerine çalışmaların zamanla arttığı gözlemlenmektedir. Araştırma alanında en fazla yayına, ülke olarak, ABD (Amerika Birleşik Devletleri) ve Çin’in; yazar olarak, Mahmood Niazi’nin sahip olduğu, en fazla atıf alan yazarın, Wang olduğu belirlenmiştir. Ayrıca alanın temel dergisinin “Sustainability” olduğu görülmüştür. Tartışma– Araştırmada “olgunluk modeli” kavramı üzerine artan bir ivmeyle çalışmaların gerçekleştirildiği görülmüştür. Farklı sektörler için işletmelerin rekabet üstünlüğü elde etmede başvurabileceği bir kavram olan olgunluk modelleri kapsamında literatürde daha fazla çalışma yapılması gerektiği belirlenmiştir. Veri tabanında yer alan çalışmalar için özet ve yazar anahtar kelime alanlarında “bibliyometrik analiz” kavramı aratıldığında sınırlı sayıda çalışmanın gerçekleştirildiği görülmüştür. Ayrıca olgunluk modeli alanında, Türkiye’de bibliyometrik analiz çalışmasının bulunmadığı tespit edilmiştir.Master Thesis Finansal Oranlı Yapay Sinir Ağı Modeli ile Hisse Değeri Değişimi Tahmini(Konya Teknik Üniversitesi, 2019) Tanyer, Mustafa; Sarucan, AhmetHisse senedi değerinin tahmin edilmesi, ekonomi piyasalarının barındırdığı belirsizlik, kaotik yapı ve gürültü nedeniyle oldukça güçtür. Ayrıca hisse senedi değerleri üzerindeki siyasi gelişmeler, ekonomik kırılganlıklar, küresel etkiler, teknolojik gelişmeler ve yatırımcı tercihleri gibi birçok faktörün etkisi de, değer tahminlerini oldukça zorlaştırmaktadır. Ancak bu alanda iyi bir tahmin modeli geliştirmenin zorlukları sebebiyle meydan okuyucu doğası, başarılı bir modelin maddi getiriye somut katkısı gibi nedenler problemi araştırmacılar için bir o kadar da çekici kılmaktadır. Çok kaynaktan veri akışı olan borsa gibi kaotik ortamlarda geleceğe dönük tahminler üretmede makine öğrenme algoritmalarının başarılı oldukları bilinmektedir. Bu çalışmada ise Borsa İstanbul'da işlem gören farklı kriterlere göre seçilmiş üç hisse senedinin değer tahmini geliştirilen Yapay Sinir Ağı modeli ile Destek Vektör Makineleri, Lojistik Regresyon, Rasgele Orman ve Naive Bayes Sınıflandırıcı makine öğrenmesi algoritmaları kullanılarak ele alınmış ve performansları kıyaslanmıştır. Şirket performanslarını değerlendirmede sıklıkla kullanılan 18 finansal oran ve 102 diğer bağımsız değişken girdi olarak kullanılarak 2009-2018 dönemi aylık hisse senedi getiri oranları sınıflandırılarak tahmin edilmiştir. Yapılan analizler önerilen yapay sinir ağı algoritmasının belirlenen değişkenlerle ve dönemde diğer algoritmalara alternatif olarak kullanılabilecek bir sınıflandırıcı olduğunu göstermiştir.Article A New Q-Rung Picture Fuzzy Grey Relational Analysis Method and Investigation of Its Effectiveness(Gazi Univ, FAC Engineering Architecture, 2026) Özcan, Evrencan; Güler, Büşra; Sarucan, AhmetFuzzy logic plays an important role in decision making by modelling uncertain and imprecise situations. Recent studies in decision processes focus on extended versions of fuzzy sets designed to better represent uncertainty. One of these extensions is the q-Rung Picture Fuzzy Set (q-RPFS), which provides greater flexibility for decision makers when expressing their opinions under uncertainty. Other related extensions, such as q-Rung Orthopair Fuzzy Sets (q-ROFS) and Picture Fuzzy Sets (PFS), are also powerful tools for representing fuzziness and uncertainty. Combining the advantages of these approaches, q-RPFS offers an effective structure for handling uncertain and inconsistent data. In this study, a new q-Rung Picture Fuzzy Grey Relational Analysis (q-RPFGRA) method is proposed based on the q-RPFS framework. The proposed approach aims to improve the reliability and precision of decision-making results by reducing uncertainty and information loss. The effectiveness of the q-RPFGRA method is demonstrated through a project selection example taken from the literature. To verify the validity and applicability of the proposed method, a comparative analysis with existing operators is conducted and the results are integrated using the Borda method. This study represents the first application of the q-RPFGRA method in evaluation and decision making problems under a fuzzy environment.Conference Object Citation - Scopus: 13Distributed Fuzzy Permutation Flow Shop Scheduling Problem: a Bee Colony Algorithm(Springer, 2020-07-11) Baysal, M. Emin; Sarucan, A.; Büyüközkan, K.; Engin, O.; Emin Baysal, M.The distributed permutation flow shop scheduling problem is a subclass of the permutation flow shop scheduling problem. Distributed scheduling adopts multi-factory with permutation flow shop scheduling environment. At the distributed permutation flow shop scheduling, due to the human factors, the processing times of the jobs on the machines are not known exactly. Thus, in this study, the processing time of the jobs on machines are considered as a triangular fuzzy number. Also, the due dates of the jobs are considered as trapezoidal fuzzy numbers at this research. To solve the distributed fuzzy permutation flow shop scheduling problem with multi-objective an artificial bee colony algorithm is proposed. To the best of our knowledge, this is the first study to solve the distributed fuzzy permutation flow shop scheduling with an artificial bee colony algorithm. The proposed artificial bee colony algorithm is first calibrated on the distributed permutation flow shop scheduling problem. The results showed that the proposed artificial bee colony algorithm is an efficient solution technique for solving distributed fuzzy permutation flow shop scheduling problems. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Citation - Scopus: 1Evaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environment(Springer Science and Business Media Deutschland GmbH, 2023) Sarucan, A.; Baysal, M.E.; Engin, O.Clean energy sources are becoming increasingly important as traditional energy sources are rapidly depleted around the world. The energy produced must be stored to make this orientation more meaningful. One of the very different storage technologies used is mechanical energy storage. Mechanical energy makes up a large percentage of the energy storage capacity in the world. Keeping track of current mechanical energy storage technology developments is a key task for policymakers. From this point of view, it is necessary to have an evaluation of different mechanical energy storage techniques under certain criteria and in consideration of the opinions of decision makers. Therefore, a fuzzy multi-criteria decision-making model is proposed. In the case study, 3 different mechanical energy storage techniques, pumped hydro, compressed air, and flywheel energy storage alternatives were evaluated with the fuzzy grey relation analysis for common criteria, power capacity, lifetime, energy density, efficiency, response time of these alternatives. Growing use of energy storage in every aspect of life, from electric vehicles to mobile applications, from smart buildings to cities, makes these studies relevant. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Requirements-Team Assignment Model That Ensures Balanced Workload With Differences in Skills in Agile Organizations(Springer International Publishing Ag, 2024) Yel, Ibrahim; Baysa, Mehmet Emin; Sarucan, Ahmet; Baysal, Mehmet EminIn today's world of information technologies, agile transformations aim to evaluate small requirements and present them to customers in small deliveries in a short time. The requirement items included in the sprints are scored by the agile team and Story Points are assigned. The expectation from the agile team is that after each requirement is finalized, the other requirements within the sprint will be developed by team members with a proactive approach. At this stage, developing the right requirements by the right team and at the same time distributing the workload within the team balanced can be a serious problem that needs to be solved by people in the product owner role and people in the Scrum master role. By distributing balanced story points among team members and assigning the most appropriate requirements to them, the team's performance and customer satisfaction will increase. In this context, the determined criterion weights were defined with fuzzy AHP. Afterwards, the requirements were evaluated by five experts in the field. The evaluation criteria of the teams corresponding to the requirement criteria were used by the same experts to evaluate the teams. A balanced assignment of requirements story points to each team was made based on the differences between the final scores of the requirements and the final scores of the teams. This assignment process was tried with both (Neutrosophic Z Number Set) NZN and NZN-Area Ellipse methods and the results were compared.
Research Topics
Domains
Social SciencesPhysical Sciences
Fields
Decision SciencesEngineeringBusiness, Management and Accounting
Subfields
Management Science and Operations ResearchIndustrial and Manufacturing EngineeringManagement of Technology and Innovation
Specific Research Areas
Multi-Criteria Decision Making
Scheduling and Optimization Algorithms
Advanced Manufacturing and Logistics Optimization
Quality Function Deployment in Product Design
Scheduling and Timetabling Solutions
Sustainable Development Goals
7AFFORDABLE AND CLEAN ENERGY
4
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
17PARTNERSHIPS FOR THE GOALS
3
Research Products
8DECENT WORK AND ECONOMIC GROWTH
2
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
13CLIMATE ACTION
1
Research Products
Documents
38
Citations
174
h-index
9
Documents
18
Citations
97
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 30 |
| Selçuk University | 12 |
| Karadeniz Technical University | 4 |
| Konya Eğitim ve Araştırma Hastanesi | 3 |
| Central Bank of the Republic of Turkey | 2 |
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Data obtained from OpenAlex
| Journal | Count |
|---|---|
| Lecture Notes in Networks and Systems | 11 |
| Advances in Intelligent Systems and Computing | 3 |
| Journal of Pediatric Infection | 2 |
| International Journal of Social Humanities Sciences Research (Jshsr) | 2 |
| Journal of Intelligent and Fuzzy Systems | 2 |
Current Page: 1 / 4
Scholarly Output
43
Articles
17
Views / Downloads
121/161
Supervised MSc Theses
8
Supervised PhD Theses
1
WoS Citation Count
65
Scopus Citation Count
68
Patents
0
Projects
0
WoS Citations per Publication
1.51
Scopus Citations per Publication
1.58
Open Access Source
22
Supervised Theses
9
Scopus Quartile Distribution
Competency Cloud
