Study and Analysis of Milk-Run Model for Minimum Cost Under Upstream Supply Chain of a Dairy Plant

2021 ◽  
pp. 213-220
Author(s):  
Sanjay Kumar ◽  
Asim Gopal Barman ◽  
Vishal Kumar
Keyword(s):  
Supply Chain ◽  
Minimum Cost ◽  
Dairy Plant ◽  
Milk Run

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.

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

Enterprise Inventory Control Based on Supply Chain Management

2012 ◽  
Vol 472-475 ◽  
pp. 3273-3276
Author(s):  
Qing Ying Zhang ◽  
Ying Chi ◽  
Yu Liu ◽  
Qian Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Control ◽  
Control Strategies ◽  
Minimum Cost ◽  
Chain Management ◽  
Main Target ◽  
The Cost

The main target of supply chain management is to control inventory of each node enterprise effectively with the minimum cost. In this paper, the control strategies and methods of inventory based on supply chain management are put forward, which are significant for saving the cost of supply chain and improving the overall benefits of the whole chain.

scholarly journals The Efficiency of Melinjo (Gnetum gnemon L.) Chip Supply Chain in Bantul District, Province of Yogyakarta

Agro Ekonomi ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 207
Author(s):  
Sunendar Senendar ◽  
Dwidjono Hadi Darwanto ◽  
Irham Irham
Keyword(s):  
Supply Chain ◽  
Random Sampling ◽  
Sampling Method ◽  
Minimum Cost ◽  
Simple Random Sampling ◽  
Model Analysis ◽  
Transportation Model ◽  
Gnetum Gnemon

Melinjo chip is one of the typical foods in Yogyakarta made of melinjo nuts. The production center of melinjo chip is located in Banguntapan and Pajangan Sub Districts, Bantul District. The purpose of this study is to determine the efficiency of the supply chain measured with transportation model analysis. The number of respondents in this research was 50 producers of melinjo chip in Bantul District, taken by simple random sampling method. While the snawball sampling method was used to get 5 (five) collector traders, 5 (five) large traders and 26 (twenty six) melinjo chip retailers that taken by following melinjo chip sales distribution from the producer to Market of Piyungan, Demangan, Kotagede, Sentul, Beringharjo, Bantul, Legi, and Magelang. The supply chain actors of melinjo chip are melinjo farmers, melinjo chip producers, collecting traders, large traders, retailers, consumers, packaging producers, production workers, haulers, and firewood providers. The analysis of transportation model with minimum cost illustrates that Wirokerten Village from Banguntapan Sub District allocate the production of melinjo chip to Market of Beringharjo and Piyungan, while Potorono Village allocates the to Market of Demangan. Sendangsari and Triwidadi Village from Pajangan Sub District allocate the production of melinjo chip to Market of Beringharjo, while Guwosari Village allocates to Market of Beringharjo, Bantul, and Legi.

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

scholarly journals Analysis of Minimum Cost of Supply Chain Emergencies Based on Diffusion Path Processing

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yan Cao ◽  
Tian Tian ◽  
Wanyu Wei ◽  
Liang Huang ◽  
Yujia Wu
Keyword(s):  
Supply Chain ◽  
Clustering Algorithm ◽  
Minimum Cost ◽  
Diffusion Path ◽  
Critical Event ◽  
Design Structure ◽  
Perform Cluster Analysis ◽  
The Impact ◽  
The Relationship ◽  
Case Data

In view of the complexity and severity of the impact of supply chain emergencies on enterprise economy, this paper proposes modular processing to improve the design structure matrix (DMS), and the designed clustering algorithm is used to perform cluster analysis of the improved DMS, to predict the possible diffusion path of emergencies, and to establish the critical event diffusion path planning model by designing the critical event diffusion path storage method. As in the case data of a certain type of servo motor of the H Company, after data screening, the diffusion path is classified and stored by analyzing the relationship between each member of the supply chain network. Secondly, the same group of data is put into the method of this paper and other scholars’ to calculate the minimum cost of emergency response in time.

Supply and Production/Distribution Planning in Supply Chain with Genetic Algorithm

2012 ◽  
Vol 1 (1) ◽  
pp. 38-54
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Minimum Cost ◽  
Industrial Firms ◽  
Distribution Planning ◽  
Supply Chain Costs ◽  
Production And Distribution ◽  
Holding Cost ◽  
Production And Distribution Planning ◽  
Effective Use

The present study, using genetic algorithm, tries to improve material flow management in supply chain. Consequently, in this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Iranian industrial firms, SPDP is done independently. The effective use of integrated SPDP not only enhances the performance rather decreases inventory cost, holding cost, shortage cost and overall supply chain costs. A quantitative mathematical model is used to the problem articulation, and then it is solved by applying heuristic genetic algorithm (GA) method. The proposed model with genetic algorithm could provide the best satisfactory result with the minimum cost. The reliability test was carried by comparing the model results with that of the amount of variables.

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.

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