Ranking Of Sustainability Criteria For Industrial Symbiosis Applications Based On Anp

ALAKAS, Haci Mehmet/0000-0002-9874-7588WOS:000599463700004Enterprises have started to establish partnerships both to use their internal resources efficiently and to increase their environmental performance. Partnerships and interoperability of enterprises with different processes enable them to benefit more from their benefits. Moving towards the local and regional economy, these partnerships that increase environmental and own resources have created industrial symbiosis practices. Industrial ecology fields are established in these applications. Both environmental and economic gains can be achieved through the efficient use of resources by enterprises and the minimization of wastes. For the sustainability of these partnerships to be established by enterprises, they need to analyze the measures they take internally. In this study, the concept of industrial symbiosis and the criteria that are effective for the sustainability of these industrial symbiosis are evaluated. Analytical network process method is used. Thus, the industrial symbiosis infrastructures to be established by enterprises have been enabled to move strategically

3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches

OZCAN, Evrencan/0000-0002-3662-6190WOS:000539729600009In this study, third-party logistics (3PL) service provider selection problem is handled for a foreign trade company that exports the products with high quality level obtained by outsourcing, and who has problems regarding both cost, delivery quality and delivery time. In this direction, 7 criteria are determined for effective evaluation of the performance of the 5 logistics service providers the company is working for and the determination of the most suitable 3PL service provider according to the property of the orders (quantity, mode of conveyance, transportation channel, etc.). The priority levels of service providers are calculated by using these criteria in the combination of Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then, a goal programming (GP) model that answers the question of which service provider to choose for which order, considering these priority values and the 12 system constraints and 5 objectives that the company encountered in real life is proposed. This model is the first one proposed in the literature for the selection of 3PL service providers for multimodal international transport with consistent results. The model is solved for the current 10 orders using the last 1-year data of the company and the most appropriate 3PL service provider combination is obtained. As a result of the solution of the problem with this methodology, an improvement is achieved about 7% for the rate of delivery on time, 33% for bid - bill consistency rate, and 29% for the problematic delivery rate

3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches

OZCAN, Evrencan/0000-0002-3662-6190WOS:000539729600009In this study, third-party logistics (3PL) service provider selection problem is handled for a foreign trade company that exports the products with high quality level obtained by outsourcing, and who has problems regarding both cost, delivery quality and delivery time. In this direction, 7 criteria are determined for effective evaluation of the performance of the 5 logistics service providers the company is working for and the determination of the most suitable 3PL service provider according to the property of the orders (quantity, mode of conveyance, transportation channel, etc.). The priority levels of service providers are calculated by using these criteria in the combination of Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then, a goal programming (GP) model that answers the question of which service provider to choose for which order, considering these priority values and the 12 system constraints and 5 objectives that the company encountered in real life is proposed. This model is the first one proposed in the literature for the selection of 3PL service providers for multimodal international transport with consistent results. The model is solved for the current 10 orders using the last 1-year data of the company and the most appropriate 3PL service provider combination is obtained. As a result of the solution of the problem with this methodology, an improvement is achieved about 7% for the rate of delivery on time, 33% for bid - bill consistency rate, and 29% for the problematic delivery rate

A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment

Bulut, Merve/0000-0002-4412-9071WOS:000589091300023Power plants are large-scale generation facilities with high investment costs established to ensure sustainable energy supply. Maintenance-Repair activities constitute the most critical process to be considered in these facilities. Because, these activities cause planned or unplanned generation interruptions. For this reason, it is of great importance to calculate the maintenance periods determined on the basis of equipment health in the power plants. From this point of view in this study, the problem of determining maintenance periods is handled in the big scale hydroelectric power plant in Turkey. Due to the complexity of problem environment particularly including 16 equipment groups with the highest level of criticality on the power plant, proposing combined multi criteria decision making model (MCDM) has become invaluable for the purpose of reaching convincing outcomes. In order to obtain maximum benefit, investigation for appropriate probability distributions of 11-year failure and repair data belonging to the equipment group and analyses for reliability, availability and maintainability analyses are performed for 16 critical equipment groups. Finally, maintenance periods for 16 equipment groups were calculated using the curve family formed by the cost coefficient of Weibull distribution parameters. On the specified maintenance days based on system reliability and maintenance costs, it was observed that 16 critical equipment had no failures during the 1-year monitoring process. This indicates a 100% improvement

A hybrid model proposal for maintenance scheduling in hydropower plants

Bakım, endüstriyel işletmelerde üretim, personel ve malzeme ile eş zamanlı yönetilmesi gereken önemli bir prosestir. Bu önemli prosesin kritik aşamalarının başında bakım planlaması gelmektedir. Bakım planlaması için gerekli olan iki aşama bulunmaktadır. İlk aşama bakım stratejilerinin belirlenmesi ve ikinci aşama ise bakım çizelgelerinin oluşturulmasıdır. Bu çalışma, bakım planlamasının ilk adımını oluşturan bakım strateji seçiminin gerçekleştirildiği bir çalışmanın devamı olarak bakım çizelgelemesi için yapılmıştır. Bakım strateji seçimi için gerçekleştirilen ilk adımdaki çalışmada [5], Türkiye’deki büyük ölçekli bir hidroelektrik santralda yer alan 1330 elektriksel ekipman incelenmiş ve santral açısından kritiklik seviyesi belirlenmiştir. Çalışma sonucunda bir zaman çizelgesi doğrultusunda gerçekleştirilebilecek olan, periyodik bakım stratejisinin uygulanabileceği kritik elektriksel 7 ana ekipman grubu belirlenmiştir. Elde edilen bu sonuçlar bakım planlamasındaki bakım çizelgeleme aşamasını oluşturan bu çalışmada kullanılmıştır ve periyodik bakım stratejisinin uygulanabileceği bu kritik elektriksel 7 ana ekipman grubu için bakım çizelgesi oluşturulmuştur. Bakım çizelgeleme için yapılan bu çalışmanın ilk aşamasında santralın bir yıllık üretim tahmini Yapay Sinir Ağı (YSA) yöntemi ile gerçekleştirilmiş ve bu tahmin sonucunda elde edilen verilerden çalışma-bakım süreleri hesaplanmıştır. Tutarlı tahmin değerlerinin santralın bakım planlama gerçek ve gerekliliklerini yansıtan 0-1 Tam sayılı Programlama (TP) modelinde kullanılmasıyla, beş farklı periyodik bakım türü çizelgelenmiş ve santral işletme ve bakım gerçekleri ile tutarlı optimal bir bakım planı elde edilmiştir.Maintenance is an important process that must be managed simultaneously with personnel and materials, production in industrial enterprises. Maintenance planning comes at the beginning of the critical stages of this important process. There are two stages required for maintenance planning. The first stage is the determination of maintenance strategies and the second stage is the generation of maintenance schedules. This study is carried out for maintenance scheduling as a continuation of the maintenance strategy selection which is the first step of maintenance planning. In the first step study realized for maintenance strategy selection, 1330 electrical equipment located in a large-scale hydroelectric power plant in Turkey is examined and the criticality level is determined for the plant. As a result of the study can be realized in accordance with a timeline, 7 critical electrical equipment groups in which preventive maintenance strategy can be applied. As a result of the study can be realized in accordance with a timeline, critical electrical 7 equipment groups determined which preventive maintenance strategy can be applied. These results are used in this study which constitutes the maintenance scheduling stage in maintenance planning and the maintenance schedule has been established for these critical electrical 7 equipment groups to which preventive maintenance strategy can be applied. In the first stage of this study for maintenance scheduling, one-year generation estimation of the plant is realized by using the Artificial Neural Network (ANN) method and operating-maintenance periods are calculated from the data obtained from this estimation. By using consistent estimation values in the 0-1 Integer Programming (IP) model, which reflects the power plant's maintenance planning realities and requirements, five different types of periodic maintenance are scheduled and an optimal maintenance plan consistent with the power plant operation and maintenance facts is achieved

Risk Based Maintenance in the Hydroelectric Power Plants

Eren, Tamer/0000-0001-5282-3138WOS: 000467762600095In this study, maintenance planning problem is handled in one of the hydroelectric power plants which directly affect Turkey's energy supply security with a fifth share in the total generation. In this study, a result is obtained by taking into consideration the multi-objective and multi-criteria structure of the maintenance planning in the hydroelectric power plants with thousands of complex equipment and the direct effect of this equipment on uninterrupted and low-cost electricity generation. In the first stage, the risk levels of the equipment in terms of the power plant are obtained with the combination of AHP (Analytical Hierarchy Process) and TOPSIS (technique for order preference by similarity to ideal solution) which are frequently used in the literature due to their advantages. Department-based maintenance plans of all equipment for periodic and revision maintenance strategies are formed by integrating these values into the time allocated for maintenance and the number of employees constraints. As a result of the application of this methodology which is designed for the first time in the literature with the integration of multi-criteria decision-making methods for the maintenance planning problem in a hydroelectric power plant, all elements that prevent the sustainable energy supply in the power plant are eliminated

A mathematical model proposal for maintenance strategies optimization of the most critical electrical equipment groups of hydroelectric power plants

WOS: 000483365300016Maintenance is a process that makes a high-level contribution to the sustainability goal of the manufacturing facilities defined as uninterrupted, high-quality level, economic, efficient; reliable and environmentally friendly production. The foremost stage of this important process is the maintenance planning and the first and indispensable phase of this stage is the maintenance strategy selection. When considering the maintenance processes which cause the significant costs due to production downtime, material, time and labor requirements, assignment of the suitable maintenance strategies especially for the critical equipment has great importance in terms of avoiding the unnecessary costs for the generation facility. Furthermore, maintenance strategy optimization directly effects the goal of sustainable production in the manufacturing facilities by providing to increase the faultless operating time of equipment and contribute to realize the reliable and high-quality manufacturing. In addition to these, this problem becomes more and more important in the electricity generation plants which are in the group of continuous production facilities, when the effects of energy on the society are considered. In this context in this study, among the electrical equipment which are the most problematic group, the most critical ones in terms of the power plant are determined by the AHP-TOPSIS combination in one of the big-scale hydroelectric power plants realize the 20% of Turkey's electricity generation. Then, the most appropriate strategy combination from corrective, periodic, predictive and revision maintenance strategies is obtained by using the proposed integer programming model for these equipment groups. The use of this combination has resulted in an 80% improvement in generation downtimes and associated costs

EVALUATION OF CHALLENGES IN INDUSTRY 4.0 FOR SUSTAINABLE SUPPLY CHAIN MANAGEMENT

Teknolojinin hızla gelişmesiyle beraber kurumların bütün çalışma yapısı ve süreçlerinin dijitalleşmesi kaçınılmaz olmuştur. Kurumlarda dijitalleşmenin sağlanabilmesi için değişim ve dönüşüme ayak uydurulması gerekmektedir. Mevcut yapının performansı, muhtemel riskleri, pazar payları, rekabet koşulları gibi sürekli değişen faktörler dikkate alınarak tedarik zincirleri değerlendirmeli ve gerektiğinde yeniden yapılandırılmalıdır. Tedarik zincirinde bulunan üyelerin birbiriyle eş zamanlı ve doğru bilgi alışverişinde bulunmaları gerekmektedir. Aksi durumda âtıl kapasite, taşıma masrafları, stok fazlası, müşteri memnuniyetsizliği gibi bazı problemlerle karşılaşılmaktadır. Bu gibi problemlerle karşılaşılmaması için tedarik zincirindeki süreçlerin gerçek zamanlı takip edilmesi ve etkin bir şekilde yönetilmesi endüstri 4.0 tabanlı sürdürülebilir tedarik zinciriyle mümkün hale gelmektedir. Endüstri 4.0 yaklaşımıyla tedarik zinciri yönetimi karmaşık bir hal almadan sürecin hızlanması sağlanmaktadır. Dijitalleşme konusunda ihtiyaçlar doğru belirlenmediği veya doğru çözüm ortaklarıyla çalışılmadığı takdirde bütün süreç olumsuz etkilenmektedir. Endüstri 4.0 yaklaşımının bütün boyutlarının ele alındığı hem stratejik hem operasyonel ihtiyaç ve uygulamaların kapsamlı bir şekilde tartışıldığı bir yapı gerekmektedir. Bunun için çalışmada sürdürülebilir tedarik zinciri yönetiminde endüstri 4.0 teknolojisine geçişteki zorlukların değerlendirilmesinde analitik ağ süreci yöntemi kullanılmıştır. Analitik ağ süreci, faktörlerin birbiri ile olan ilişkileri ve bağları dikkate alan, geribildirim sağlayan bir yöntemdir. Bu yöntemle çalışmada tedarik zinciri sürdürülebilirliğini sağlamak için dijitalleşme yolunda karşılaşılan zorluklar analiz edilip kriter ağırlıkları belirlenmiştir.With the rapid development of technology, the digitalization of all working structures and processes of institutions has become inevitable. In order to ensure digitalization in institutions, it is necessary to keep pace with change and transformation. Supply chains should be evaluated and reconstructed when necessary, taking into account constantly changing factors such as the performance of the current structure, possible risks, market shares, and competition conditions. Members in the supply chain must exchange information simultaneously and accurately. Otherwise, some problems such as idle capacity, transportation costs, excess stock, and customer dissatisfaction are encountered. In order to avoid such problems, real-time monitoring and effective management of processes in the supply chain are made possible by the industry 4.0-based sustainable supply chain. With the Industry 4.0 approach, the process is accelerated without supply chain management being complicated. The whole process is negatively affected if the needs of digitalization are not determined correctly or if we do not work with the right solution partners. A structure in which both strategic and operational needs and practices are discussed in a comprehensive manner, in which all aspects of the Industry 4.0 approach are addressed are required. For this purpose, analytic network process method was used to evaluate the difficulties in transition to industry 4.0 technology in sustainable supply chain management. The analytic network process is a method that takes into account the relationships and bonds between the factors and provides feedback. With this method, in order to ensure supply chain sustainability, the difficulties encountered in digitalization were analyzed and criteria weights were determined

Hidroelektrik santrallarda bakım çizelgeleme için hibrid bir model önerisi

Bakım, endüstriyel işletmelerde üretim, personel ve malzeme ile eş zamanlı yönetilmesi gereken önemli bir prosestir. Bu önemli prosesin kritik aşamalarının başında bakım planlaması gelmektedir. Bakım planlaması için gerekli olan iki aşama bulunmaktadır. İlk aşama bakım stratejilerinin belirlenmesi ve ikinci aşama ise bakım çizelgelerinin oluşturulmasıdır. Bu çalışma, bakım planlamasının ilk adımını oluşturan bakım strateji seçiminin gerçekleştirildiği bir çalışmanın devamı olarak bakım çizelgelemesi için yapılmıştır. Bakım strateji seçimi için gerçekleştirilen ilk adımdaki çalışmada [5], Türkiye’deki büyük ölçekli bir hidroelektrik santralda yer alan 1330 elektriksel ekipman incelenmiş ve santral açısından kritiklik seviyesi belirlenmiştir. Çalışma sonucunda bir zaman çizelgesi doğrultusunda gerçekleştirilebilecek olan, periyodik bakım stratejisinin uygulanabileceği kritik elektriksel 7 ana ekipman grubu belirlenmiştir. Elde edilen bu sonuçlar bakım planlamasındaki bakım çizelgeleme aşamasını oluşturan bu çalışmada kullanılmıştır ve periyodik bakım stratejisinin uygulanabileceği bu kritik elektriksel 7 ana ekipman grubu için bakım çizelgesi oluşturulmuştur. Bakım çizelgeleme için yapılan bu çalışmanın ilk aşamasında santralın bir yıllık üretim tahmini Yapay Sinir Ağı (YSA) yöntemi ile gerçekleştirilmiş ve bu tahmin sonucunda elde edilen verilerden çalışma-bakım süreleri hesaplanmıştır. Tutarlı tahmin değerlerinin santralın bakım planlama gerçek ve gerekliliklerini yansıtan 0-1 Tam sayılı Programlama (TP) modelinde kullanılmasıyla, beş farklı periyodik bakım türü çizelgelenmiş ve santral işletme ve bakım gerçekleri ile tutarlı optimal bir bakım planı elde edilmiştir.Maintenance is an important process that must be managed simultaneously with personnel and materials, production in industrial enterprises. Maintenance planning comes at the beginning of the critical stages of this important process. There are two stages required for maintenance planning. The first stage is the determination of maintenance strategies and the second stage is the generation of maintenance schedules. This study is carried out for maintenance scheduling as a continuation of the maintenance strategy selection which is the first step of maintenance planning. In the first step study realized for maintenance strategy selection, 1330 electrical equipment located in a large-scale hydroelectric power plant in Turkey is examined and the criticality level is determined for the plant. As a result of the study can be realized in accordance with a timeline, 7 critical electrical equipment groups in which preventive maintenance strategy can be applied. As a result of the study can be realized in accordance with a timeline, critical electrical 7 equipment groups determined which preventive maintenance strategy can be applied. These results are used in this study which constitutes the maintenance scheduling stage in maintenance planning and the maintenance schedule has been established for these critical electrical 7 equipment groups to which preventive maintenance strategy can be applied. In the first stage of this study for maintenance scheduling, one-year generation estimation of the plant is realized by using the Artificial Neural Network (ANN) method and operating-maintenance periods are calculated from the data obtained from this estimation. By using consistent estimation values in the 0-1 Integer Programming (IP) model, which reflects the power plant's maintenance planning realities and requirements, five different types of periodic maintenance are scheduled and an optimal maintenance plan consistent with the power plant operation and maintenance facts is achieved

Sustainable Personnel Scheduling Problem Optimization in a Natural Gas Combined-Cycle Power Plant

OZCAN, Evren Can/0000-0002-3662-6190; Ozder, Emir Huseyin/0000-0002-1895-8060WOS: 000495436200064This paper deals with a sustainable personnel scheduling problem of personnel working in a large-scale natural gas combined-cycle power plant in Turkey. The proposed model focuses on employee complaints due to unfair work schedules and the results of balanced assignments based on power plant interruptions. Eighty personnel work in three shifts at this natural gas combined-cycle power plant. The model is solved with respect to some of the workers' skills, and there are 20 criteria regarding skills. The analytic network process method is used to get the weights of workers' skills, which are calculated and included in the model. Goal programming is used in this paper. Our proposed model gives cost minimization and fair work schedules for the power plant. Compared with the literature, the number and set of criteria are unique in terms of personnel competency in the energy sector. Minimizing cost and imbalanced assignments was achieved by the proposed model for the first time without considering the sector