4 research outputs found

    Determining the possible demand according to the sizes in ready made clothing ındustry: A model application and comparison

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    İşletmeler, zorlaşan rekabet şartları altında ayakta kalabilmek ve rekabet edebilmek için karşılaştıkları çeşitli sorunların çözümüne yönelik etkin kararlar almak zorundadırlar. Geleceğe yönelik verilecek kararlar işletmeler için belirsizlik içerdiğinden, bu kararların alınmasında çeşitli tahminler yapılmalıdır. Bunlardan biri de talep tahminleridir. İşletmelerin ürünlerine olan talebi tahmin etmeleri, belirlenecek pazarlama stratejileri açısından önemli bir veri niteliği taşımaktadır. Bu araştırma da hazır giyim işletmelerinde hangi beden numarasında ne kadar talep oluşacağını belirlemede uygulanan yöntemlerden elde edilen sonuçlarla, gerçekleşen talebi karşılaştırarak üretilecek beden numaralarının miktarının belirlenmesinde en doğru sonucu verebilecek talep tahmin yöntemini belirlemek amaçlanmıştır. Araştırma verileri büyük ölçekli bir hazır giyim işletmesinden toplanmıştır. Bu veriler 2007-2012 yılları arasında satılan ürünlerin beden numaralarından oluşmaktadır. İşletmeden alınan veriler üzerine talep tahmin yöntemlerinden aritmetik ortalama, hareketli ortalama ve ağırlıklı hareketli ortalama yöntemleri uygulanmıştır. Bu uygulama sonucunda hesaplanan sonuçlar ile gerçekleşen talep karşılaştırılmıştır. Bu araştırma hazır giyim işletmelerinin gelecekteki beden numaralarına göre oluşacak talebi belirlemelerine, üretim planlarının daha isabetli olmasına ve satışlarına katkı sağlayacaktır.Business operations have to take effective decisions to the various problems they could face in order to stand and compete under the conditions which are getting harder day by day. Due to the decisions for the future plans of the corporations include uncertainty, diverse predictions should be made to avoid possible problems. One of these predictions is demand forecasting. To predict the possible demand is a significant data for businesses to determine their future marketing strategy. This research is made to identify the best type of demand forecasting to determine the quantity of goods to be produced by evaluating the possible demand for each size in ready-made clothing businesses and then comparing them to the real demand numbers. Research data has been collected from a large-scale ready-made clothing enterprise. This data consists of all the sizes of clothes which were sold through 2007 to 2012. According to these values various demand forecasting methods were implemented such as arithmetic mean, moving average, and weighted moving average. After all, evaluated data from demand forecasting compared to real demand. This research will contribute to enterprises in order to determine their possible future demand for each size, to do production planning more precisely and their sales numbers

    The effects of increasing amounts of vermicompost and a fixed amount of Rhodobacter capsulatus applications on macro and micro elements of plant and soil samples

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    Soil pollution increases day by day due to excessive use of inorganic fertilizers and pesticides which can disturb natural environment of the soil when applied consistently. Sustainable and healthy agricultural in long term, however, can be obtained by the utilization of organic fertilizers and bacterial fertilizers. This study was carried out to investigate the effects of bacteria and vermicompost applications on soil fertility and some nutrient elements of exotic plant Malabar spinach (Basella alba L.). Standard variety green Malabar spinach was used as plant material and Rhodobacter capsulatus and solid vermicompost were used as fertilizers in this study. The experiment was conducted according to the randomized block design in triplicates. The trials in the study were as follows: control, only bacteria (B) (10 mL/pot), only solid vermicompost (8%), and three different vermicompost concentrations (V1: 4%. V2: 8%. V3: 12%) with fixed amount of bacteria (10 mL/pot). The bacteria and vermicompost were mixed with soil during planting. The results showed that the bacteria + vermicompost applications increased the N, P, K, Cu, Zn and Mn decreased Ca and had no significant effect on Mg and Fe contents of the plants. This application had the same effect on the experimental soil in terms of the mentioned elements. The effects of only bacteria and only vermicompost applications on some micro and macro nutrient elements of the plant and soil varied. The results suggested that the use of organic fertilizer and bacterial fertilizers on soils that are mostly poor in terms of organics is important and should be extended. © 2021 Taylor & Francis Group, LLC.The authors would like to thank the Tekirdag Namik Kemal University Scientific Research Projects Unit for its financial support to the project numbered with NKUBAP.03.GA.18.166
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