Lean service operations and a lean management application at a foundation university

Lean service operations and lean management are of vital importance for all service providers as much as manufacturers. Unfortunately, most universities need to be made aware of the concept of lean. However, they can benefit from lean management in all their service areas, such as admissions, administration of research funds, hiring, and nearly any functional area where multi-step processes can be simplified and focused on the needs of the users served by the organization. Lean methodologies focus on reducing waste (Muda in Japanese), remov-ing overburden (Muri in Japanese), and unnecessary variation (Mura in Japanese). Non-value-added activities are eliminated or dealt with to develop the performance of the process. This study aims to highlight the suitability of lean in a university environment to enhance the effi-ciency of the operational tasks performed and provide suggestions for better performance. Lean methodologies were applied to the School of Graduate Studies at a Turkish university to study the current state of the process and provide recommendations and alternatives for the current issues faced using Value Stream Mapping (VSM). As a result, Value-Added and Non-Value-Added activities were identified with Indicative Ratios to compare the performance before and after applying lean. In the end, seven questions were answered to develop a proposal for the future state of the process, which was presented to the university managemen

The Critical Success Factors of Erp Selection and Implementation: A Case Study in Logistics Sector

Today’s competitive business environment requires much greater interaction between customer and business. This means that the organization must be closely linked to both supplier and customer in order to produce goods and provide faster deliveries. In order to achieve this, the organizations need to have efficient planning and control systems in all the processes of the organization. In this case, information technology is one of the sources which organizations can apply. Especially, Enterprise Resource Planning (ERP) is just at the heart of daily operations of a company, which leads to efficient processes. In this study, how Enterprise Resource Planning (ERP), which enables such sources as workforce, machine and materials needed for the production of goods and services in organizations to be used efficiently, was founded and the problems that organizations face with during foundation were explained. In the study, qualitative analysis method was used. At the end of the study, problems during implementation of ERP system was determined and suggestions regarding to the solutions were presented

Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches

As an inevitable process, digitalization has become a priority for many companies. The measurement of digital maturity is the first step toward adequately executing this. Although digital maturity models (DMM) have been developed for different sectors in the literature, such studies in the defense industry are lacking due to sector-specific dynamics. This study aims to close this gap and proposes a digital maturity model specific to the defense industry. In this study, a novel model was developed that combines the SF-AHP and SF-TODIM methods due to the uncertainty and hesitancy contained in the evaluation. The validity of the presented novel model has been demonstrated in a prominent defense company in Turkey. According to the results, the most notable digital maturity dimensions are the evaluation of opportunities and alignment with stakeholders. In addition, the model indicates that the company owns the required soft skills, such as leadership, organizational culture, and strategic determination for digital transformation (DT). On the other hand, essential hard skills such as technology and operational competencies are yet to be improved. Lastly, sensitivity and comparison analyses are conducted to validate and verify the obtained results’ stability and robustness

Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model

In recent years, population growth and lifestyle changes have led to an increase in energy consumption worldwide. Providing energy from fossil fuels has negative consequences, such as energy supply constraints and overall greenhouse gas emissions. As the world continues to evolve, reducing dependence on fossil fuels and finding alternative energy sources becomes increasingly urgent. Renewable energy sources are the best way for all countries to reduce reliance on fossil fuels while reducing pollution. Biomass as a renewable energy source is an alternative energy source that can meet energy needs and contribute to global warming and climate change reduction. Among the many renewable energy options, biomass energy has found a wide range of application areas due to its resource diversity and easy availability from various sources all year round. The supply assurance of such energy sources is based on a sustainable and effective supply chain. Simultaneous improvement of the biomass-based supply chain's economic, environmental and social performance is a key factor for optimum network design. This study has suggested a multi-objective goal programming (MOGP) model to optimize a multi-stage biomass-based sustainable renewable energy supply chain network design. The proposed MOGP model represents decisions regarding the optimal number, locations, size of processing facilities and warehouses, and amounts of biomass and final products transported between the locations. The proposed model has been applied to a real-world case study in Istanbul. In addition, sensitivity analysis has been conducted to analyze the effects of biomass availability, processing capacity, storage capacity, electricity generation capacity, and the weight of the goals on the solutions. To realize sensitivity analysis related to the importance of goals, for the first time in the literature, this study employed a spherical fuzzy set-based analytic hierarchy method to determine the weights of goals

Integrated modelling for sustainability assessment and decision making of alternative fuel buses

In this paper, a hybrid life cycle sustainability assessment (LCSA) model integrating multi region input–output analysis with novel multi-criteria decision-making techniques is proposed to assess three different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel buses (DBs). A global hybrid LCSA model first quantified the environmental, economic, and social impacts of alternative fuel buses. The results were investigated in terms of multiple combinations of manufacturing and end-of-life scenarios by encompassing impacts embedded in the global supply chains taking Qatar as a case applied to the proposed model. The Interval-Valued Neutrosophic Fuzzy (IVNF)-Analytic Hierarchy Process with the Combined Compromise Solution (CoCoSo) approach is used to rank the alternative fuel buses based on their corresponding sustainability performance. The proposed model will help in quantitatively capturing the macrolevel life cycle socioeconomic and environmental impacts along with optimally selecting alternatives to support sustainable urban transport policy towards a net-zero transportation system globally

Mühendisler için sistem benzetimi

Telif hakkı nedeniyle kitabın tam metini verilmemiştir.Gözlem, insanoğlunun en etkin öğrenme aracıdır. Gerçek hayata ilişkin bir olguyu incelerken olgular arasında neden-sonuç ilişkisi kurarken gözlemler yaparız. Doğa olaylarını açıklayıcı genel kanunlara ulaşmak, yeni sistemler kunnak ve bunların işleyişlerindeki problemleri tespit etmek ve yeni çözümler üretebilmek için gözlem önemli bir fonksiyon ifade etmektedir. Ancak gerçek bir sistemi gerçek zamanlı olarak gözlemenin bazı zorlukları vardır. Örneğin, doğru şekilde gözlemleyebilmek için sistemi durdurmanız gerekebilir. Fakat bu her zaman mümkün olmayacaktır. Gerçek bir sistemi gözlemenin başka bir zorluğu da gözlemin ciddi zaman almasıdır. Tam da bu noktada benzetim yaklaşımları bir alternatif olarak devreye girmektedir.Genişletilmiş ikinci bası

Multi-purpose sustainable supply chain network design for biodiesel fuels

Dünyada tüketilmekte olan enerjinin büyük çoğunluğu yenilenemez enerji kaynaklarından olan fosil yakıtlardan elde edilmektedir. Araştırmalara göre dünyadaki mevcut petrol rezervleri yaklaşık 51 yıllık tüketimi karşılayabilmektedir. Biyodizel, fosil yakıtlar için olabilecek en iyi ikame yakıt türü olmasından dolayı en çok kullanılan sıvı biyoyakıtlardandır. Biyoyakıtların üretilmesi için maliyet etkin tedarik zinciri tasarlanması gerekmektedir. Bu çalışmada sürdürülebilir biyodizel tedarik zinciri ağ tasarımı için maliyet minimizasyonu ve çevresel etki optimizasyonu olmak üzere çok amaçlı, sürdürülebilir bir doğrusal programlama modeli geliştirilecektir. Birinci amaç olan maliyet minimizasyonu literatürden yararlanılarak rahatlıkla modellenebilmekte ve çözülebilmektedir. Çevresel etki verileri literatürde çok net bir şekilde belirtilmediği için Uluslarası Standart Örgütü’nün (ISO) geliştirdiği ISO14000 serisi genel çerçeve olarak kabul edilmiştir.Çevresel etki optimizasyonunda; insan sağlığı, ekosistem çeşitliliği ve kaynak kullanılabilirliği ağırlıklandırma yönteminin yardımıyla hesaplamalar yapılmaktadır. Önerilen model; optimum yer, biyorafineride kullanılacak uygun teknoloji, malzeme akışı ve farklı dönemlerdeki üretim planlamalarını içeren Türkiye’de yapılacak olan gerçek bir uygulama olma özelliği göstermektedir.The vast majority of the energy consumed in the world is derived from fossil fuels from non-renewable sources of energy. According to the research, the existing oil reserves in the world can meet the consumption of about 51 years. Biodiesel is the most widely used liquid biofuels because it is the best substitute fuel type for fossil fuels. Cost-effective supply chains must be designed to produce biofuels. In this study, a multi-purpose, sustainable linear programming model will be developed, including cost minimization and environmental impact optimization for sustainable biodiesel supply chain network design. The first objective, cost minimization, can be easily modeled and solved using the literature. The ISO 14000 series developed by the International Organization for Standardization (ISO) has been accepted as a general framework since the environmental impact data are not clearly described in the literature. In the environmental effect optimization, human health, ecosystem diversity and resource usability weighing method. Recommended model; optimal location, appropriate technology will be used in Biorafinery, including material flow and production planning in different periods shows the characteristic of being a real application which will be held in Turkey