Analysis of Logistical Aspect of Food-Safety System in the Green Supply Chain using Vehicle Routing Problem Model

2021 ◽  
Author(s):  
Kasin Ransikarbum ◽  
Chewaphorn Chaiyaphan ◽  
Rattanan Pataratanased
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Safety System ◽  
Green Supply Chain ◽  
Routing Problem ◽  
Problem Model

A Multi-Period Evacuation Vehicle Routing Problem Model

2014 ◽  
Vol 931-932 ◽  
pp. 578-582
Author(s):  
Sunarin Chanta ◽  
Ornurai Sangsawang
Keyword(s):  
Vehicle Routing ◽  
Public Transportation ◽  
Vehicle Routing Problem ◽  
Programming Model ◽  
High Water ◽  
Mixed Integer ◽  
Routing Problem ◽  
Problem Model ◽  
Proposed Model ◽  
Evacuation Routing

In this paper, we proposed an optimization model that addresses the evacuation routing problem for flood disaster when evacuees trying to move from affected areas to safe places using public transportation. A focus is on the situation of evacuating during high water level when special high vehicles are needed. The objective is to minimize the total traveled distance through evacuation periods where a limited number of vehicles is given. We formulated the problem as a mixed integer programming model based on the capacitated vehicle routing problem with multiple evcuation periods where demand changing by the time. The proposed model has been tested on a real-world case study affected by the severe flooding in Thailand, 2011.

scholarly journals Capacitated vehicle routing problem model for carriers

2018 ◽  
Vol 12 ◽  
Author(s):  
Irma-Delia Rojas-Cuevas ◽  
Santiago-Omar Caballero-Morales ◽  
Jose-Luis Martinez-Flores ◽  
Jose-Rafael Mendoza-Vazquez
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Network Flow ◽  
Route Planning ◽  
Test Problems ◽  
Optimal Route ◽  
Routing Problem ◽  
Problem Model ◽  
Capacitated Vehicle Routing Problem ◽  
Capacitated Vehicle

Background: The Capacitated Vehicle Routing Problem (CVRP) is one of the most important transportation problems in logistics and supply chain management. The standard CVRP considers a fleet of vehicles with homogeneous capacity that depart from a warehouse, collect products from (or deliver products to) a set of customer locations (points) and return to the same warehouse. However, the operation of carrier companies and third-party transportation providers may follow a different network flow for collection and delivery. This may lead to non-optimal route planning through the use of the standard CVRP.Objective: To propose a model for carrier companies to obtain optimal route planning.Method: A Capacitated Vehicle Routing Problem for Carriers (CVRPfC) model is used to consider the distribution scenario where a fleet of vehicles depart from a vehicle storage depot, collect products from a set of customer points and deliver them to a specific warehouse before returning to the vehicle storage depot. Validation of the model’s functionality was performed with adapted CVRP test problems from the Vehicle Routing Problem LIBrary. Following this, an assessment of the model’s economic impact was performed and validated with data from a real carrier (real instance) with the previously described distribution scenario.Results: The route planning obtained through the CVRPfC model accurately described the network flow of the real instance and significantly reduced its distribution costs.Conclusion: The CVRPfC model can thus improve the competitiveness of the carriers by providing better fares to their customers, reducing their distribution costs in the process.

scholarly journals PERENCANAAN JADWAL DAN RUTE DISTRIBUSI ROKOK UNTUK MENEKAN TOTAL BIAYA TRANSPORTASI

2012 ◽  
Vol 13 (2) ◽  
pp. 151 ◽  
Author(s):  
Thomy Eko Saputro ◽  
Aprilia Prihatina
Keyword(s):  
Vehicle Routing ◽  
Customer Service ◽  
Vehicle Routing Problem ◽  
Optimization Method ◽  
Distribution Area ◽  
Nearest Neighbour ◽  
Routing Problem ◽  
Problem Model ◽  
Periodic Vehicle Routing Problem ◽  
Periodic Vehicle Routing

Thomy Eko Saputro DAN Aprilia PrihatinaJurusan Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah MalangLaman: [email protected] satu hal yang berpengaruh dalam meningkatkan pelayanan konsumen adalah bagaimana mengirimkan produkyang tepat waktu kepada seluruh konsumen. Oleh karena itu pelaku bisnis perlu menerapkan suatu strategi yang tepat agardapat mengefisienkan dan mengefektifkan proses distribusinya. PR 567 sebagai distributor rokok perwakilan Purwodadiberupaya agar pendistribusian berjalan dengan baik karena mengingat proses distribusi dengan jumlah agen yang cukupbanyak seringkali mempersulit distributor untuk menentukan jadwal dan rute yang tepat. Permasalahan pendistribusianini termasuk dalam PVRP (Periodic Vehicle Routing Problem). Penyelesaian dilakukan menggunakan metode clusterfirst-second route dengan penugasan agen ke hari kunjungan menggunakan metode optimasi. Solusi akhir nantinyaakan memberikan jadwal dan rute kendaraan dengan total biaya tranportasi yang paling minimum. Pada penelitian iniwilayah distribusi dibagi menjadi 2 cluster dan dari penyelesaian model PVRP diperoleh frekuensi kunjungan yang tepatuntuk cluster 1 adalah sebanyak sekali dalam seminggu. Sedangkan untuk cluter 2 dikunjungi sebanyak 3 kali dalamseminggu. Hasil penentuan jadwal dan rute dari penelitian inimemberikan total biaya transportasi sebesar Rp725.805per minggu. Dengan kata lain terjadi penghematan sebesar Rp320.189/minggu atau menghemat sebesar 44% per minggudari biaya awal yang harus dikeluarkan.Kata kunci: Vehicle routing, periodic, nearest neighbour, optimasiABSTRACTOne of the main issue in improving the customer service is how to deliver the product on time to customers. Therefore,the stakeholders need to apply an appropriate strategy in order to make distribustion process become more efficient andeffective. Because it is hard to determine appropriate schedule and route when dealing with a lot agents, PR 567 as arepresentative distributor of cigarette in Purwodadi attempts to make its distribution process better. This was done by usingPVRP (Periodic Vehicle Routing Problem) model with cluster first-second route approach and optimization method forassigning vehicle. The result of this research were frequency, schedule, and route with the most minimum transportationcost. In this research, the distribution area was defined into two cluster. The best delivery frequency for cluster one was onceweek, while cluster two was three times a week. The transportation cost was Rp725805/week. In the other hand, the savingcost was Rp320189/week or 44%/week from the initial cost.Key words: Vehicle routing, periodic, nearest neighbour, optimization

scholarly journals Logistics and Supply Chain Management Efficiency Strategy for Ghana’s Mining Industry

2021 ◽  
Vol 6 (2) ◽  
pp. 193-202
Author(s):  
Qu Yaping ◽  
Mary Bossman
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Mining Industry ◽  
Transport Cost ◽  
Mining Operations ◽  
Routing Problem ◽  
Chain Management ◽  
Transport Services

The invaluable contribution of the mining industry in any country’s economy is widely acclaimed and thus not far-fetched. In as much as the mining industry contributes hugely to economic and social growth, its operations are characterized by complex supply chain processes that are relatively capital and cost intensive, and technologically sophisticated to manage. Unfortunately, firms in the mining industry especially for developing countries tend to focus more on procuring modernized equipment and technologies to carry out the complex processes of mining operations to the detriment of applying logistics optimization models. This research project therefore seeks to analyze the logistics and supply chain operations of mining companies in Ghana, identify the challenges and inefficiencies associated with these operations and their underlying causes, and recommend logistics and supply chain management design, modelling and analysis tools to optimize. With the help of secondary data collected from books, journals, which were further depicted in graphs and tables, the Microsoft Excel Solvers for Vehicle Routing Problem (VRP, Version 3.42), with an embedded Bing Map Key License was used to illustrate and derive optimal solutions for the transportation efficiency of mining firms in Ghana. The study revealed that the mining industry in Ghana is confronted with supply chain issues like poor road networks in mining communities, variable lead time and exchange rate, strict governmental laws, violent clashes over land royalties, high transport cost due to bad roads, unreliable lead times (caused by port delays), unavailability of local suppliers of international standards, and policy restrictions as the main challenges to supply chain. Clearly, the policy implication emanating from this study is that mining firms in partnership with transport services firms in Ghana must adopt an efficient service delivery and optimal transportation cost reduction strategies, which is designed with the Vehicle Routing Problem Optimization Model in order to benefit mutually in gaining competitive advantage.

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