scholarly journals The Study in Supply Chain of Auto Parts Based on Milk-Run

2016 ◽  
Vol 04 (04) ◽  
pp. 778-783
Author(s):  
Xufeng Zhang ◽  
Lina Zou ◽  
Zhuang Hu
Keyword(s):  
Supply Chain ◽  
Auto Parts ◽  
Milk Run

Case Study: Maximizing Business Performance by Optimizing Supply Chain Of LNG-C Distribution of 9 Gas Power Plants with A Capacity of 780 MW in Eastern Indonesia

2020 ◽  
Author(s):  
A. D. Wara
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Power Plants ◽  
Total Power ◽  
First Year ◽  
Eastern Region ◽  
Transport Costs ◽  
Logistics Optimization ◽  
The Government ◽  
Milk Run

The Government of Indonesia plans to build 9 gas power plants in South Kalimantan, South Sulawesi and Southeast Nusa Tenggara with a total power capacity of 780 MW with an estimated actual gas demand of 46.56 MMSCFD which are planned to be supplied by the Bontang terminal, DS-LNG, Masela LNG, and Tangguh LNG. LNG-C logistics optimization is needed to get the best transportation scenario regarding the eastern region which consists of scattered islands and inadequate infrastructure. This study analyzes and evaluates the best-case scenarios by comparing the time and cost variables. The process of planning the supply chain starts from determining the upstream-downstream distribution scheme and then calculates the shipping distance which results in the determination of the quantity, capacity and shipping of the LNG-C. Based on the analysis and calculation of the logistics, it is concluded that there are 3 divisions of clusters of Kalimantan-Sulawesi, NTT and NTB having estimated needs in a row of 18.06, 18.8, and 9.7 MMSCFD with the Milk-Run transportation method. Logistics optimization results show that scenario 1 has an efficiency value of 87% with an LNG-C transport capacity of 0.35 MMSCF, a roundtrip cruise time of 8.6 days and the number of shipments is 36 / year. The detailed analysis of costs in scenario A is 1-2 USD / MMBTU for the milk and run transportation method, 1.49-1.73 USD / MBTU for LNG-C transport costs, and regasification costs which are 1.0-3.7 USD / MMBTU. Based on the above results it can be calculated that the price of gas in the first year of implementation was 13.4 USD / MMBTU, so the total value below this supply chain was Rp.8,812,876,800.00. Therefore, this idea was created as a solution for the initial steps for the utilization of the domestic natural gas distribution

Mitigating Supply Chain Tardiness Risks in OEM Milk-Run Operations

2016 ◽  
pp. 141-150 ◽  
Author(s):  
Antonio G. N. Novaes ◽  
Orlando F. Lima ◽  
Monica M. M. Luna ◽  
Edson T. Bez
Keyword(s):  
Supply Chain ◽  
Milk Run

Milk-Run Vehicle Routing Optimization Model and Algorithm of Automobile Parts

2012 ◽  
Vol 253-255 ◽  
pp. 1463-1467 ◽  
Author(s):  
Hui Juan Ma ◽  
Jing Wei
Keyword(s):  
Vehicle Routing ◽  
Automobile Industry ◽  
Industrial Development ◽  
Time Window ◽  
Rapid Development ◽  
Third Party ◽  
Supply Logistics ◽  
Auto Parts ◽  
Automobile Parts ◽  
Milk Run

With the rapid development of automobile industry, auto parts logistics emerged as an important part of promoting industrial development. Milk-run is used more and more frequent in auto parts supply. Based on the characteristics of auto parts requirement and milk-run, in order to satisfy the requirement of OEMs, the distribution center takes milk-run supply logistics model to a variety of vendors, using the idea of third party. The design of automobile parts milk-run vehicle routing is the problem of designing the non-full set of goods vehicle routing with time window. This thesis established a vehicle routing model with time window, studied milk-run vehicle routing of automobile parts, used the particle swarm optimization to solve the problem of the example, and obtained a satisfied results in acceptable time. It also verified the validity of the model and algorithm.

scholarly journals A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-24
Author(s):  
Yasemin Kocaoglu ◽  
Emre Cakmak ◽  
Batuhan Kocaoglu ◽  
Alev Taskin Gumus
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Hybrid Algorithm ◽  
Minimum Cost ◽  
Computational Time ◽  
Strategy Selection ◽  
Distribution Strategy ◽  
Network Problem ◽  
Milk Run ◽  
Delivery Network

Managing the distribution of goods is a vital operation for many companies. A successful distribution system requires an effective distribution strategy selection and optimum route planning at the right time and minimum cost. Furthermore, customer’s demand and location can vary from order to order. In this situation, a mixed delivery system is a good solution for it and allows the use of different strategies together to decrease delivery costs. Although the “distribution strategy selection” is a critical issue for companies, there are only a few studies that focus on the mixed delivery network problem. There is a need to propose an efficient solution for the mixed delivery problem to guide researchers and practitioners. This paper develops a new “modified” savings-based genetic algorithm which is named “distribution strategy selection and vehicle routing hybrid algorithm (DSSVRHA).” Our new algorithm aims to contribute to the literature a new hybrid solution to solve a mixed delivery network problem that includes three delivery modes: “direct shipment,” “milk run,” and “cross-docking” efficiently. It decides the appropriate distribution strategy and also optimal routes using a heterogeneous fleet of vehicles at minimum cost. The results of the hybrid algorithm are compared with the results of the optimization model. And the performance of the hybrid algorithm is validated with statistical analysis. The computational results reveal that our developed algorithm provides a good solution for reducing the supply chain distribution costs and computational time.

scholarly journals Factors Affecting Green Supply Chain Operational Performance of the Thai Auto Parts Industry

2016 ◽  
Vol 8 (11) ◽  
pp. 1161 ◽  
Author(s):  
Korrakot Tippayawong ◽  
Natananot Niyomyat ◽  
Apichat Sopadang ◽  
Sakgasem Ramingwong
Keyword(s):  
Supply Chain ◽  
Operational Performance ◽  
Green Supply Chain ◽  
Factors Affecting ◽  
Auto Parts

scholarly journals THE IMPACT OF THE COVID‑19 PANDEMIC ON SUPPLY CHAIN PERFORMANCE OF THE AUTO PARTS INDUSTRIES OF THAILAND

2020 ◽  
Vol 7 (4) ◽  
pp. 245-251
Author(s):  
Ampol Navavongsathian ◽  
Jirasek Trimetsoontorn ◽  
Pattarada Rungruang ◽  
Surat Janthongpan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Management Practices ◽  
Primary Data ◽  
Supply Chain Performance ◽  
Online Questionnaire ◽  
Chain Management ◽  
Auto Parts ◽  
The Impact

This research aims to analyse the impact of the COVID‑19 Pandemic on Supply Chain Performance of the Auto Parts Industries of Thailand. The primary data collected from an online questionnaire sent to 400 samples obtained by a stratified sampling method selected from tier 1, tier 2, and tier 3 auto parts manufacturers. The structural equation model applied for analysis. The results showed that the COVID‑19 Pandemic, Environment performance, Negative performance, and operation performance affected supply chain performance. For suggestions from this research, first of all, the company's knowledge of internal management. And government involvement has a direct impact on the performance of the auto parts supply chain. The government's participation as factors of external influence also has an immediate effect on supply chain management. Company practices show that governments have played an essential role in promoting the auto parts industry's survival since its upstream. Midstream and downstream pressure has an indirect effect on corporate and consumer of supply chain management practices.

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