scholarly journals ANALISIS PENGARUH COMPONENT COMMONALITY TERHADAP SCHEDULE INSTABILITY, SERVICE LEVEL, DAN TOTAL BIAYA PADA SISTEM MAKE-TO-ORDER RANTAI PASOK TWO-STAGE MELALUI ADANYA MEKANISME KORDINASI

2019 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Moch. Aldy Anwar
Keyword(s):  
Service Level ◽  
Two Stage ◽  
Component Commonality ◽  
Make To Order

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 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. 

A two-stage bid-price control for make-to-order revenue management

2012 ◽  
Vol 39 (5) ◽  
pp. 1021-1032 ◽  
Author(s):  
Thomas Volling ◽  
Derya Eren Akyol ◽  
Kai Wittek ◽  
Thomas S. Spengler
Keyword(s):  
Revenue Management ◽  
Price Control ◽  
Two Stage ◽  
Make To Order ◽  
Bid Price
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