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Abstrak :
ABSTRAK

Tesis ini membahas tentang pengembangan model optimasi inventori dengan lead time pemesanan yang stokastik. Pengembangan model ini menitik beratkan pada minimum biaya inventori keseluruhan dengan material yang diamati memiliki waktu pemakaian tertentu (perishable goods). Adanya ketidakpastian kedatangan material yang disebabkan oleh jarak antara manufaktur dan pemasok yang jauh, menimbulkan adanya masalah stockout pada material di inventori. Hal ini menimbulkan adanya terjaddinya lost sales sehingga manufaktur akan mengalami kerugian. Hal ini memicu manufaktur untuk mendatangkan material dengan mode transportasi yang lebih akurat, namun memiliki harga yang cukup tinggi. Pemenuhan akan bahan baku berdasarkan kapasitas produksi selama sepekan. Tahap awal pemesanan tergantung pada keputusan banyaknya pemenuhan kebutuhan produksi untuk dapat memnuhi selama minggu tertentu. Pemesanan awal ini akan dilakukan pada titik awal 12 minggu sebelum produksi dilakukan dengan safety stock yang tersedia sebesar 20 unit. Keterlambatan pada pemesanan awal ini akan memicu pemesanan cepat dengan mempertimbangan kebutuhan diminggu yang akan datang dan jumlah stok material yang tersedia di inventori. Lamanya pengiriman material untuk order cepat adalah 2 minggu. Pengembangan model menggunakan metode Mixed Integer Linear programming karena untuk pemesanan satu diperlukan bilangan bulat dan adanya pembatas konstrain bilangan biner, untuk menetukan penugasan. Hasil pemodelan menunjukan bahwa model yang dikembangan berpengaruh signifikan terhadap perubahan nilai safety stock dan biaya pemesanan lambat.

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ABSTRACT

 

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This thesis focus on the development of inventory optimization models with stochastic lead time ordering. The development of this model focuses on the minimum overall inventory costs with observed the material that having usage time (perishable goods). The uncertainty of the materials arrival caused by the distance between manufacturers and suppliers with longer distant has caused a stock out problem in the inventory. This has led to the occurrence of lost sales, so manufacturers will experience losses. This is a trigger for manufacture to supply material with a more accurate transportation mode, but it has an expensive cost. Fulfillment of raw materials based on production capacity for a week. The initial stage of the order depends on the decision quantity production demand can be fulfilled during a certain week. This initial order will be made at the starting point 12 weeks before production is carried out and availability of safety stock reach to 20 units. The delay in this initial order will trigger a quick order by considering the upcoming week`s requirements and the amount of material stock available in the inventory. The length of material delivery for fast orders is 2 weeks. Model development uses the Mixed Integer Linear programming method because for ordering one integers are needed and there are constraints for binary number constraints to determine assignments. The modeling results show that the model developed has a significant effect on changes in the value of safety stock and slow order cost.

Abstrak :
Kolaborasi menjadi pilihan banyak perusahaan untuk meningkatkan efektivitas dan efisiensi rantai suplai mereka. Semakin besar pengaruh persaingan global, kolaborasi semakin dibutuhkan. Collaborative Planning, Forecasting, and Replenishment memberikan kerangka kolaborasi yang solid. Implementasi CPFR di PT X memanfaatkan sistem jaringan aplikasi untuk proses perencanaan produksi tahunan. Untuk mengembangkannya, diperlukan analisis terhadap kebutuhan pengguna yang dilakukan dengan volere process model, kemudian dilakukan analisis aspek fungsional sistem menggunakan IDEF0 sebelum sistem didesain. Rancangan sistem perencanaan produksi tahunan tersebut dapat melakukan proses maintain data master, upload perencanaan kendaraan dan komponen, breakdown dan kalkulasi data, penggabungan data, dan pengelompokan hasil akhir. Selain itu, untuk mendukung implementasi CPFR, komunikasi dua arah antara perusahaan dengan suplier-supliernya harus dibangun. ......Collaboration has become the choice of many companies to increase their supply chain effectivity and efficiency. Due to growing global competition's influence, collaboration is more needed. Collaborative Planning, Forecasting, and Replenishment provides solid collaboration framework. The CPFR implementation in PT X applies application network system for annual production planning process. In order to develop it, analysis on user requirement conducted using volere process model. Afterwards, functional system analysis conducted using IDEF0 before designing the system. Annual production plan system design can mantain master data, upload vehicle and part planning, breakdown and calculate data, consolidate data, and inquiry final result data. In addition, to support the CPFR implementation, two-ways communication between the company and its suppliers should be established.

Abstrak :
Tingginya biaya pemeliharaan diantaranya disebabkan biaya akibat persediaan suku cadang. Penelitian ini bertujuan untuk mendapatkan jumlah pemesanan yang meminimumkan biaya-biaya yang terkait dengan pengadaan suku cadang kritis forklift. Berdasarkan distribusi weibull dua parameter dapat diketahui laju kerusakan suku cadang terhadap kelompok equipment yang sejenis sehingga kebutuhan suku cadang dapat diramalkan. Model Economic Order Quantity digunakan untuk mengoptimalkan jumlah pemesanan yang meminimumkan biaya inventori dan biaya pemesanan suku cadang. Hasilnya diperoleh suku cadang yang memiliki demand terbesar pertahun adalah Load Wheel 27631330/EJC-15G dengan ekspektasi kebutuhan sebanyak 16 unit, jumlah order quantity sebesar lima unit dan reorder point sebesar empat unit. ......High expenses spent by maintenance some of them are caused by expenses of spare parts inventory. The goal of this research is to minimize all the cost associated with the replenishment forklift critical spare parts. Based on twoparameter weibull distribution, the failure rate of spare parts in a group of identical equipments can be predicted, so that the needs of spare parts can be predicted. Economic Order Quantity model is used to optimize order quantity of spare parts which minimize the combination of inventory cost and purchasing cost of spare parts. The results obtained spare part that has the highest annually demand is Load Wheel 27631330/EJC-15G with the expected needs of as many as 16 units, total order quantity of five units and the reorder point for four units.

Abstrak :
ABSTRACT
A multi level and multi node supply chain multi agent simulation model is established based on the two maximum inventory level replenishment strategies, which consider the superior shipments. The effect of these two replenishment strategies on the bullwhip effect of supply chain role level and enterprise node is discussed. This paper describes in detail how the supply chain enterprises deal with important issues such as, receipt from superior, subordinate delivery, and order to the higher level. What is more important is that how to carry out demand forecasting and replenishment using the maximum inventory level strategy when ordering to the superiors. Results show that the bullwhip effects on the other three kinds of scenarios are all different from those with a higher quantity of goods, which the bullwhip effect is not notable. The bullwhip effect significantly increases from downstream to upstream. In the development of replenishment strategy, compared to not considering the superior shipments, considering it will significantly reduce the layer bullwhip effect and node bullwhip effect of the agents in supply chain. Considering the superior shipments has brought beneficial impact to the order quantity stability of each layer and the order quantity stability of each node enterprise.