scholarly journals Penentuan Safety Stock Berdasarkan Simulasi Jumlah Produk Cacat (Studi Kasus Produk Sambungan Pipa di PT Aneka Adhilogam Karya)

2020 ◽  
Vol 3 (2) ◽  
pp. 67
Author(s):  
Mega Inayati Rif’ah ◽  
Satrio Aji Pambudi
Keyword(s):  
Monte Carlo ◽  
Service Level ◽  
Safety Stock ◽  
Make To Order

<p><em>PT. Aneka Adhilogam Karya adalah perusahaan pengecoran logam yang mengutamakan kualitas produk yang dihasilkannya. Salah satu produk yang dihasilkannya adalah sambungan pipa. Produksi produk tersebut adalah berdasarkan pesanan konsumen (make to order). Namun dalam memenuhi jumlah pesanan konsumen, perusahaan tersebut sering terkendala oleh jumlah produksi yang berkurang akibat produk cacat. Oleh karena itu, penelitian ini bertujuan untuk menentukan besarnya persediaan pengaman (safety stock), agar perusahaan dapat memenuhi jumlah pesanan konsumen, dan service level-nya mencapai 95%. Metode yang digunakan pada penelitian ini adalah 1) analisis pengendalian kualitas produk dengan Peta Kendali p, 2) peramalan jumlah produk cacat dengan menggunakan simulasi Monte Carlo, dan 3) penentuan jumlah safety stock. Hasil yang didapatkan adalah 1) jumlah produk cacat sambungan pipa masih dalam batas kendali, 2) peramalan jumlah produk cacat menggunakan simulasi Monte Carlo memiliki error sebesar 2,57, dan 3) jumlah safety stock yang disarankan untuk mengantisipasi adanya produk cacat adalah 6 unit.</em></p>

scholarly journals Validating Virtual Safety Stock Effectiveness through Simulation

10.5772/56859 ◽  
2013 ◽  
Vol 5 ◽  
pp. 41 ◽  
Author(s):  
Maria Elena Nenni ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Service Level ◽  
Inventory System ◽  
Time Interval ◽  
Common Condition ◽  
Simple Method ◽  
Safety Stock ◽  
Safety Stocks ◽  
Base Stock Policy ◽  
Stock Policy ◽  
Business To Business

As a means of avoiding stock-outs, safety stocks play an important role in achieving customer satisfaction and retention. However, traditional safety stock theory is based on the assumption of the immediate delivery of the ordered products, which is not a common condition in business-to-business contexts. Virtual safety stock theory was conceived to raise the service level by exploiting the potential time interval in the order-to-delivery process. Nevertheless, its mathematical complexity prevented this technique from being widely adopted in the industrial world. In this paper, we present a simple method to test virtual safety stock effectiveness through simulation in an inventory system using a base stock policy with periodic reviews and backorders. This approach can be useful for researchers as well as practitioners who want to model the behaviour of an inventory system under uncertain conditions and verify the opportunity for setting up a virtual safety stock on top of, or instead of, the traditional physical safety stock.

A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains

2021 ◽  
Author(s):  
Gabrielle Gauthier Melançon ◽  
Philippe Grangier ◽  
Eric Prescott-Gagnon ◽  
Emmanuel Sabourin ◽  
Louis-Martin Rousseau
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Service Level ◽  
Learning System ◽  
Safety Stock ◽  
Service Levels ◽  
Sources Of Uncertainty ◽  
Supply Chain Efficiency ◽  
Percentage Points ◽  
Different Sources

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets, owing to different sources of uncertainty and risks. These risks, such as drastic changes in demand, machine failures, or systems not properly configured, can lead to planning or execution issues in the supply chain. It is too expensive to have planners continually track all situations at a granular level to ensure that no deviations or configuration problems occur. We present a machine learning system that predicts service-level failures a few weeks in advance and alerts the planners. The system includes a user interface that explains the alerts and helps to identify failure fixes. We conducted this research in cooperation with Michelin. Through experiments carried out over the course of four phases, we confirmed that machine learning can help predict service-level failures. In our last experiment, planners were able to use these predictions to make adjustments on tires for which failures were predicted, resulting in an improvement in the service level of 10 percentage points. Additionally, the system enabled planners to identify recurrent issues in their supply chain, such as safety-stock computation problems, impacting the overall supply chain efficiency. The proposed system showcases the importance of reducing the silos in supply chain management.

scholarly journals Analysis and Optimization of a Combined Make-to-Stock and Make-to-Order Multiproduct Manufacturing System

2009 ◽  
Vol 2009 ◽  
pp. 1-27 ◽  
Author(s):  
Khaled Hadj Youssef ◽  
Christian van Delft ◽  
Yves Dallery
Keyword(s):  
Lead Time ◽  
High Volume ◽  
Service Level ◽  
Time Service ◽  
Inventory Costs ◽  
Make To Order ◽  
End Products ◽  
Low Volume ◽  
Multiproduct Manufacturing ◽  
The Impact

We consider a single-stage multiproduct manufacturing facility producing several end-products for delivery to customers with a required customer lead-time. The end-products can be split in two classes: few products with high volume demands and a large number of products with low-volume demands. In order to reduce inventory costs, it seems efficient to produce the high-volume products according to an MTS policy and the low volume products according to an MTO policy. The purpose of this paper is to analyze and compare the impact of the scheduling policy on the overall inventory costs, under customer lead-time service level constraints. We consider two policies: the classical FIFO policy and a priority policy (PR) which gives priority to low volume products over high volume products. We show that for some range of parameters, the PR rule can significantly outperform the FIFO rule. In these ranges, the service level constraints are satisfied by the PR rule with much lower inventory costs.

Dynamic Joint Decision on Price and Delivery Date in MTO Manufacturer Based on Agent

2013 ◽  
Vol 860-863 ◽  
pp. 2812-2816
Author(s):  
Juan Hao ◽  
Jian Jun Yu ◽  
Mian Can Wu
Keyword(s):  
Queuing Theory ◽  
Learning Algorithm ◽  
Production Capacity ◽  
Service Level ◽  
Joint Decision ◽  
New Approach ◽  
Q Learning ◽  
Make To Order ◽  
Delivery Date ◽  
Total Profit

In order to maximize the total profit and improve the service level, based on the perspective of queuing theory, a new approach for dynamic joint decision on price and delivery date in Make-to-order (MTO) manufacturing firms using Q-learning algorithm was proposed. Compared with static price and delivery date policy, the simulation results show that the proposed algorithm performs better in total profit and service level. The total profit does not increase with the growing number of accepted orders and the number of accepted orders must match the production capacity.

scholarly journals Capacity coordination in hybrid make-to-stock/make-to-order contexts using an enhanced multi-stage model

2017 ◽  
Vol 14 (3) ◽  
pp. 396
Author(s):  
Masoud Rabbani ◽  
Sara Motevali Haghighi ◽  
Hamed Farrokhi-Asl ◽  
Neda Manavizadeh
Keyword(s):  
Capacity Planning ◽  
Production Systems ◽  
Lot Sizing ◽  
Service Level ◽  
Stage Model ◽  
Order Acceptance ◽  
Industrial Case Study ◽  
Make To Order ◽  
Multi Stage ◽  
Make To Stock

One of the most attracting production systems that has recently been vastly explored by practitioners and academicians is hybrid make-to-stock/make-to-order. Having a hierarchical production planning structure considered, this paper develops a multi-stage model to cope with the operational decisions, including order acceptance/rejection, product lot sizing, overtime capacity planning, outsourcing, and due date setting. Moreover, the proposed framework also comprises providing alternative products for the coming orders in order to enhance service level of the firm to the customers. In order to validate the presented framework, it is applied in a real industrial case study and the obtained results approve validity of the proposed framework. 

scholarly journals Analisis Pengendalian Persediaan Obat Dengan Metode ABC, VEN dan EOQ di Rumah Sakit Bhayangkara Kediri

2020 ◽  
Vol 5 (2) ◽  
pp. 97
Author(s):  
Abdul Rofiq ◽  
Oetari Oetari ◽  
Gunawan Pamudji Widodo
Keyword(s):  
Customer Service ◽  
Maximum Level ◽  
Service Level ◽  
Safety Stock ◽  
Reorder Point ◽  
Customer Service Level ◽  
Turn Over

<p><strong>A</strong><strong>bstrak</strong><strong>: </strong>Pengelolaan persediaan obat yang optimal memberikan penghematan biaya pengadaan obat. Dua permasalahan sangat penting dalam pengendalian persediaan obat yaitu memutuskan jenis dan jumlah obat yang harus dipesan. Untuk mendapatkan solusi pengendalian persediaan maka diperlukan identifikasi dan analisis permasalahan tersebut. Tujuan penelitian ini menganalisis sistem pengendalian dan meningkatkan efisiensi siklus pengelolaan obat pasien BPJS Kesehatan klasifikasi AE di Instalasi Farmasi Rumah Sakit Bhayangkara Kediri. Obat klasifikasi AE menggambarkan obat dengan indek kritis tinggi dengan pemakaian dan <em>item</em> banyak, selanjutnya dianalisis menggunakan metode ABC, VEN dan EOQ. Jenis penelitian ini adalah penelitian deskriptif analitik, pengambilan data dilakukan secara retrospektif. Data yang digunakan obat pasien BPJS Kesehatan di Instalasi Farmasi Rumah Sakit Bhayangkara Kediri periode Januari - Desember 2018. Pengumpulan data primer dan sekunder melalui observasi dokumen di lapangan dan wawancara dengan pihak terkait. Analisis menggunakan metode ABC, VEN dan EOQ untuk klasifikasi obat AE. Selanjutnya hasil pengolahan data dibandingkan dengan parameter <em>Reorder Point</em>, <em>Inventory Value</em>, <em>Inventory Turn Over Ratio</em>, <em>Customer Service Level</em>, <em>Safety Stock</em> dan <em>Maximum level inventory</em> untuk menilai efisiensi pengendalian persediaan guna memperoleh persediaan obat yang efisien. Penelitian ini diperoleh hasil analisis pengendalian obat pasien BPJS Kesehatan menggunakan metode ABC dan VEN mampu meningkatkan pengelolaan obat menjadi efektif dan efisien khususnya obat katagori AE. Data perencanaan, pengadaan dan pemakaian obat pasien BPJS Kesehatan tahun 2018 dianalisis dengan metode EOQ selanjutnya dibandingkan nilai parameter yang digunakan dapat mengurangi nilai <em>Stock Out</em>, tetapi efektifitas dan efisiensi pengendalian obat tidak tercapai.</p>

Supply chain management and market responsiveness: a simulation study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulqadir Rahomee Ahmed Aljanabi ◽  
Karzan Mahdi Ghafour
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Supply And Demand ◽  
Service Level ◽  
Distribution Centers ◽  
Safety Stock ◽  
Content Type ◽  
Product Availability ◽  
Market Responsiveness ◽  
Number Of Customers

Purpose This study aims to provide a practical solution to the relationship between supply chain (SC) integration and market responsiveness (MR). A method is proposed to integrate SC and MR parameters, namely, product supply and demand in the context of low-value commodities (e.g. cement). Design/methodology/approach Simulation and forecasting approaches are adopted to develop a potential procedure for addressing demand during lead time. To establish inventory measurements (safety stock and reorder level) and increase MR and the satisfaction of customer’s needs, this study considers a downstream SC including manufacturers, depots and central distribution centers that satisfies an unbounded number of customers, which, in turn, transport the cement from the industrialist. Findings The demand during lead time is shown to follow a gamma distribution, a rare probability distribution that has not been considered in previous studies. Moreover, inventory measurements, such as the safety stock, depending on the safety factor under a certain service level (SL), which enables the SC to handle different responsiveness levels in accordance with customer requests. In addition, the quantities of the safety stock and reorder point represent an optimal value at each position to avoid over- or understocking. The role of SC characteristics in MR has largely been ignored in existing research. Originality/value This study applies SC flexibility analyzes to overcome the obstacles of analytical methods, especially when the production process involves probabilistic variables such as product availability and demand. The use of an efficient method for analyzing the forecasting results is an unprecedented idea that is proven efficacious in investigating non-dominated solutions. This approach provides near-optimal solutions to the trade-off between different levels of demand and the SC responsiveness (SLs) with minimal experimentation times.

scholarly journals The Effect of the Safety Stock on the Occurrence Probability of the Stock Shortage

2017 ◽  
Vol 8 (1) ◽  
pp. 69-77 ◽  
Author(s):  
János Korponai ◽  
Ágota Bányainé Tóth ◽  
Béla Illés
Keyword(s):  
Supply Chain ◽  
Service Level ◽  
Occurrence Probability ◽  
Operational Environment ◽  
Safety Stock ◽  
Stock Level ◽  
Continuous Review ◽  
Factors Influencing ◽  
Demand Changes ◽  
Production Company

Abstract The objective of the logistics management is to guarantee the stock level required for the adequate handling of production at the lowest possible level of costs and risks. The main purpose of the paper is to present the relations between stock level and risk of shortages. As a result of the research, the introduction of the safety stock is the solution to cover the effects of the uncertain factors in the supply chain. The theoretical approach of the model assumes a deterministic operational environment, in practice, however, there are several unpredictable factors influencing the operation of the production company. By using the periodic and continuous review models, the paper presents the effects of demand changes and stochastic length of replenishment time on the risk of stock availability. We need to quantify a service level which determines the accepted probability of the shortage occurrence.

Fiscal-period-based service level constraints and safety stock requirements†

1986 ◽  
Vol 24 (3) ◽  
pp. 483-492 ◽  
Author(s):  
CHRISTOPH HAEHLING VON LANZENAUER ◽  
AKBAR HAMIDI-NOORI
Keyword(s):  
Service Level ◽  
Safety Stock
Sign in / Sign up

Export Citation Format

Share Document