Judul: Forecasting spare parts demand: a case study at an indonesian heavy equipment company
Abstrak: Forecasting spare parts demand is a common issue dealt by inventory managers at maintenance service organization. The large number of items held in stocks and the random demand occurrences make most of the difficulties. An indonesian heavy equipment company targets to advance its forecast accuracy. Accordingly, this study has two main goals. Firstly, all stock keeping units (skus) are classified based on their demand patterns, utilizing their average inter-demand interval (adi) and squared coefficient of variation (cv2) of demand sizes as the classifiers. After that, four simple forecasting methods are applied to each demand class and the best forecasting method in term of its forecast errors is chosen. Evaluation of forecast accuracy is made by means of the mean absolute scaled error (mase), mad-to-mean ratio, and percentage best (pbt). The forecasting competition results show the dominance of syntetos-boylan approximation for erratic, smooth, and intermittent demand, and simple moving average for lumpy demand
Keyword: demand categorization, demand forecasting, forecast accuracy

Judul: Optimizing The Fulfillment Of Demand For  Blazer Products (Case Study: DF&Y)
Abstrak: Industri fashion Indonesia merupakan industri yang memiliki potensi besar. Hal ini dapat dilihat dari Produk Domestik Bruto (PDB) Indonesia bidang usaha fashion yang berkembang secara positif sejak tahun 2013 hingga 2022. DF&Y merupakan salah satu business actor di sektor fashion Indonesia. Permasalahan DF&Y adalah stock out dan over stock yang terus terjadi. Tujuan dari penelitian ini adalah merancang peta proses (blueprint) forecast to stock dan optimalisasi pemenuhan permintaan produk untuk DF&Y. Penelitian ini menggunakan metode lot sizing Economic Order Quantity, Period Order Quantity (POQ), dan Lot for Lot (L4L) yang digunakan sebagai input DRP Worksheet. Hasil DRP Worksheet menjadi basis dari pembuatan Master Production Schedule (MPS). Pemilihan mitra yang akan memproduksi produk DF&Y ditentukan oleh kapasitas produksi dan biaya jasa produksi mitra konveksi. Penelitian ini menghasilkan peta proses forecast to stock baru untuk DF&Y. Kapasitas mitra konveksi DF&Y mampu memenuhi perencanaan MPS yang dilakukan menggunakan DRP Worksheet sehingga pemenuhan permintaan DF&Y yang direncanakan dapat mencapai seratus persen, The Indonesian fashion industry is an industry that has great potential. This can be seen from Indonesia's Gross Domestic Product (GDP) in the fashion business sector which has developed positively from 2013 to 2022. DF&Y is one of the business actors in the Indonesian fashion sector. DF&Y's problem is stock out and over stock which continues to occur. The aim of this research is to design a forecast to stock process map (blueprint) and optimize the fulfillment of product demand for DF&Y. This research uses the lot sizing method Economic Order Quantity, Period Order Quantity (POQ), and Lot for Lot (L4L) which are used as DRP Worksheet input. The results of the DRP Worksheet become the basis for creating the Master Production Schedule (MPS). The selection of partners who will produce DF&Y products is determined by the production capacity and costs of the convection partner's production services. This research produces a new forecast to stock process map for DF&Y. The capacity of DF&Y convection partners is able to fulfill MPS planning carried out using the DRP Worksheet so that fulfillment of planned DF&Y demand can reach one hundred percent
Keyword: DRP Worksheet, Lot sizing, MPS, process map

Judul: Trichomonas Gallinae Penyebab Trichomonosis Pada Unggas
Abstrak: Trichomonas gallinae adalah protozoa yang bergerak aktof dengan keempat flagella yang mempunyai layar dan pada salah satu sisinya terdapat membran seperti sirip ikan yang berombak. Spesies dari genus Trichomonas ini mempunyai arti penting pada unggas, karena dapat menyebabkan infeksi pada alat pencernaan bagian atas.
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