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

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

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 Mendesain Ulang Strategi Milk Run (Studi Kasus Pada Transportasi Logistik Rantai Dingin)

2021 ◽  
Vol 5 (1) ◽  
pp. 13-24
Author(s):  
Alexander Batara Marpaung ◽  
Elia Oey ◽  
Rianto Nurcahyo
Keyword(s):  
Supply Chain ◽  
Milk Run

Penelitian ini dilakukan untuk mengetahui strategi apa yang harus dilakukan oleh pelaku usaha jasa logistik pihak ketiga yang bergerak dalam cold supply chain industri makanan cepat saji di Indonesia khususnya dalam menghadapi dinamika pertumbuhan ekonomi yang sangat pesat di daerah pinggiran kota, sehingga dapat berkontribusi pada industri rantai makanan di Indonesia, terutama untuk logistik pihak ketiga yang memiliki mitra rantai makanan global. Penelitian dilakukan dari tahun 2017 hingga 2020 dengan melakukan berbagai simulasi distribusi logistik di berbagai kondisi. Penelitian dilakukan dengan menggunakan pendekatan penelitian operasional matematis, di mana uji analisis kuantitatif akan difokuskan pada pendekatan manajemen operasional dengan memperhatikan variabel-variabel sebagai berikut: total jarak tempuh rute; kecepatan lalu lintas; jumlah titik perhentian yang akan dilayani pada rute milk run; lama waktu perjalanan; kapasitas kendaraan terhadap waktu tempuh dan jumlah pelayanan persinggahan; serta batas kapasitas kendaraan yang diperbolehkan pada trayek tertentu. Hasil penelitian menunjukkan bahwa untuk mengelola manajemen transportasi secara optimal, perusahaan harus mempersiapkan perhitungannya dengan baik dalam faktor beban, manajemen jarak tempuh dan waktu, dan pembatasan jalan untuk truk logistik, sehingga dapat melayani mitra rantai makanan mereka dengan baik.

Replenishment decision and coordination contract in cluster supply chain

2019 ◽  
Vol 119 (6) ◽  
pp. 1374-1399 ◽  
Author(s):  
Bo Yan ◽  
Xiaoxu Chen ◽  
Yanping Liu ◽  
Chang Xia
Keyword(s):  
Supply Chain ◽  
Transportation Cost ◽  
Revenue Sharing ◽  
Third Party ◽  
Transport Cost ◽  
Content Type ◽  
Cost Factor ◽  
Revenue Sharing Contract ◽  
Coordination Contract ◽  
Milk Run

Purpose The cluster supply chain is widely used in the professional towns in China, and improves the competitiveness of small and medium enterprises through integrating the supply chain with the industrial cluster. The paper aims to discuss this issue. Design/methodology/approach This paper studies a cluster supply chain under vendor managed inventory (VMI) system, which includes vendors, third-party logistics (TPL) enterprises and retail enterprises, and aims to study the replenishment decisions and coordination contracts in the supply chain. The economic order quantity model is applied to analyze the influence of marginal transportation cost factor under two replenishment modes – direct delivery and milk-run delivery, in order to find out the optimal replenishment decisions corresponding to different marginal transportation cost factors. And then, the revenue sharing contract is used to identify the change of profits of enterprises in the supply chain before and after the coordination contract. Findings It is concluded that the marginal transportation cost factor is an important factor influencing the replenishment decision especially in milk-run delivery, and the introduction of the revenue sharing contract can improve the revenue in the supply chain. Originality/value This is the first study that explores the relationship between a single transport cost and a single transport batch of cluster supply chain in centralized VMI & TPL system. The conclusions of the study have certain theoretical significance for the decision making and coordination of cluster supply chain.

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
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