Measuring The Performances of the Machines Via Preference Selection Index (PSI) Method and Comparing Them with Values of Overall Equipment Efficiency (OEE)

Manufacturing enterprises give importance to determining machine performances in order to manage their operations and prioritize improvement activities. Overall Equipment Efficiency (OEE) is a tool that is frequently used by production managers to examine machine performances and is calculated by considering performance, quality and availability values. However, there are many different criteria that affect the performance of the machines. In this case, a multi-criteria decision-making (MCDM) approach is appropriate for handling machine performance values. The Preference Selection Index (PSI) is a MCDM method that is used for the evaluation of alternatives while weighting the criteria determined. This study was carried out to purpose of using the PSI method to generate the performance index of the machines. In addition to factors used in OEE calculation, MCDM problem with multiple criteria that supported by the literature was developed. The performance ranking of the machines was performed by PSI method with these criteria. The findings of this study suggest that when the more criteria are included in the studies for performance evaluation, the differences in the value of the results can be seen in the closer range and sensitivity. So, it would be useful to implement models that consider different criteria from OEE for machine performance evaluation

Hizmet İşlemlerinin İyileştirilmesinde Müşteri Memnuniyetsizlik Geri Dönüşlerinin Kullanılması: Bir Oto-Servis İşletmesi Uygulanması

İşletmelerin faaliyetlerinde en iyi olmayı hedefledikleri günümüz rekabet şartları diğer sektörlerde olduğu gibi, hizmet sektöründe de faaliyet gösteren işletmelerindeğişen müşteri istek ve ihtiyaçları doğrultusunda çalışmalarına yön vermelerini zorunlu hale getirmektedir. İşletmelerin sunduğu ürün veya hizmetten memnunolmaları müşterilerin ilerleyen dönemlerde de işletme ile ilişkisinin sürekli olmasını sağlamaktadır. Bu nedenle işletmeler eksik noktalarını saptamak ve uzun dönemli müşteri ilişkileri yaratmak amacıyla müşteri memnuniyetiyle ilgili geri bildirim alma çalışmaları yürütmektedir. Özellikle hizmet işlemlerinde somut olarakeksikliklerin görülmesi mümkün olmadığından müşteri geribildirimleri daha büyük bir önem taşımaktadır. Bir hizmet işletmesi olarak oto-servisine gelen müşteriaraçlarındaki problemlerin tamamının çözülemediği görüşünden hareketle problem kaynaklarının belirlenmesi ve iyileştirilmesinin amaçlandığı bu çalışmada öncelikle müşteri memnuniyetsizlik kaynakları grup, personel ve model bazında değerlendirilmiştir. Servis hizmeti alan müşterilerin, müşteri ilişkiler sorumlusu tarafından aranması ile elde edilen sonuçlar çalışmanın girdilerini oluşturmaktadır. Bu veriler ışığında yürütülen çalışma ile geri bildirim sonuçları değerlendirilmekte ve iyileştirme çalışmaları sürdürülmektedir.Today's competitive conditions that businesses aim to be the best in their operations, as in other sectors, makes it mandatory for enterprises operating in the service sector to direct their work in line with changing customer demands and needs. Being satisfied with the products or services offered by the business makes it possible for the customers to be in continuous relationship with the business even in the later periods. Because of that reason, businesses are seeking feedback on customer satisfaction in order to identify missing points and create long-lasting customer relationships. Especially as there are no concrete deficiencies, customer feedback has a greater importance in service operations. In this study, which aims to identify and improve problem sources as a service business, from the view that the problems of customer vehicles coming to auto - service can not be solved completely, first of all customer dissatisfaction resources are evaluated on the basis of group, personnel and model. The results obtained by calling customers who receive service by the customer relations officer constitute the inputs of the study. With this data in the light of the studies carried out, feedback results are evaluated and and improvement studies are being implemented.&nbsp;</p

Distribution Network Design for E-Retailing Application: A Model Suggestion forLocal Retailer in Izmir

The rapid development of technology, acceleration of internet with this development and increase of number of electronic devices that connecting to internet brings important changes in all business applications. The retailing sector, connecting businesses and end consumers, has also changed from classical approach, and consumers started to prefer e-retailing channels versus traditional stores. Therefore, businesses, which have to deliver products to those consumers, are also forced to make critical changes in supply chains. On the other hand, businesses that aim to completely change distribution networks in supply chains adopt a strategy called cross-docking to take the lead over competitors and gain cost advantages. Therefore, in this study, aim is to reveal whether a conventional retailer that does not apply e-retailing can gain by using e-retailing application in coordination with cross-docking strategy.</p

Endüstri 4.0 ile Gelişen İş Modelleri ve Yalın Girişim

Industry 4.0 is a concept that explains the point reached in industrial developments, but has an impact on many issues. Industry 4.0 technologies, which can be shown as the main source of change in business models, meet the search for opportunities in business and economic circles. Lean enterprise is working on uncertainty tests, which have recently changed business models. In this study, the issues that are affected by industry 4.0 are discussed and business models emerging with industry 4.0 are explained.Industry 4.0 is a concept that explains the point reached in industrial developments, but has an impact on many issues. Industry 4.0 technologies, which can be shown as the main source of change in business models, meet the search for opportunities in business and economic circles. Lean enterprise is working on uncertainty tests, which have recently changed business models. In this study, the issues that are affected by industry 4.0 are discussed and business models emerging with industry 4.0 are explained.</p

Correction to: Proposal for a simple algorithm to differentiate adult-onset Still's disease with other fever of unknown origin causes: a longitudinal prospective study

The author regrets that the original version of this article contained error. Figure 1 was shown in the wrong version, thus corrected figure is shown in this article.PubMe

Proposal for a simple algorithm to differentiate adult-onset Still's disease with other fever of unknown origin causes: a longitudinal prospective study

Objective: To identify several clinical and/or laboratory parameters which can differentiate adult-onset Still's disease (AOSD) from other causes of fever of unknown origin (FUO) and create a clinician-friendly algorithm for this purpose. Methods: FUO patients hospitalized between March 2015 and September 2017 were recruited prospectively. AOSD patients diagnosed between 2001 and 2017 in our department were analyzed. Clinical and laboratory parameters were recorded for all patients. A multivariate analysis was performed to identify possible parameters related to the discrimination of AOSD from FUO. Results: We recruited 69 AOSD patients (51 females, 74%) and 87 patients (43 females, 49.4%) evaluated for FUO. Median ages were 45 (30-57) and 45 (30-62), respectively. Arthralgia, rash, sore throat, neutrophilia, serum ferritin level higher than 5 times of the upper limit, and elevated lactate dehydrogenase levels were associated with the likelihood of diagnosing AOSD; on the other hand, the number of daily fever peaks equal or greater than 3 was associated with the unlikelihood of diagnosing AOSD. After the clinical feasibility assessment of possible parameters derived from the multivariate analysis, in the setting of fever, two clinical (arthralgia, sore throat) and two laboratory (ferritin level, neutrophilia) parameters were selected to develop an algorithm for discrimination of AOSD and FUO. Conclusion: Presence of arthralgia, hyperferritinemia, sore throat, and neutrophilia suggests AOSD in patients presenting as FUO. This study proposes a clinician-friendly algorithm for the first time in current literature to discriminate AOSD from other causes of FUO.PubMe