scholarly journals Three-stage design of high-resolution microalgae-based biofuel supply chain using geographic information system

2020 ◽  
Vol 265 ◽  
pp. 114773 ◽  
Author(s):  
Seongwhan Kang ◽  
Seongmin Heo ◽  
Matthew J. Realff ◽  
Jay H. Lee
2019 ◽  
Vol 11 (11) ◽  
pp. 3147 ◽  
Author(s):  
Riccardo Accorsi ◽  
Giulia Baruffaldi ◽  
Riccardo Manzini ◽  
Chiara Pini

Manufacturing, storage, and transportation processes are typically facilitated by pallets, containers, and other reusable transport items (RTIs) designed to guarantee many cycles along a lifespan of several years. As a consequence, both supply and reverse transportation of RTIs need to be managed to avoid stockout along the supply chain and the unsustainable production of new tools from virgin materials. This paper focuses on the business of pallet management by analyzing the transport operations of a pallet pooling network serving a large-scale nationwide retailer. The pooler is responsible for supplying, collecting, and refurbishing pallets. The combination of the pooler’s management strategies with different retailer network configurations results in different pooling scenarios, which are assessed and compared in this paper through a what-if analysis. The logistical and environmental impacts generated by the pallet distribution activities are quantified per each scenario through a tailored software incorporating Geographic Information System (GIS) and routing functionalities. Findings from this analysis suggest how to reduce vehicle distance traveled (vehicles-km) by 65% and pollutant emissions by 60% by combining network infrastructures and pooling management strategies—identifying an empirical best practice for managers of pallet businesses.


2022 ◽  
Author(s):  
Adem AKGÜL ◽  
Serap Seçkiner

Abstract Biomass conversion to bioenergy has always been necessary to ensure the most efficient use of the limited biomass resource and enable economic viability. Evaluating biomass transportation cost, electricity transmission cost and heat transferring cost between power plant location/s and supply/demand points and selection of an optimum power plant capacity is an important issue for a robust supply chain design. In this study, we employed designing optimum biomass to the bioenergy supply chain for agricultural activities using Geographic Information System and Simulated Annealing algorithm to overcome a real-world problem in Bismil District of Diyarbakır/Turkey. Our goal is to define a potential investment location/s on the trigeneration system by comparing the trade-offs between the raw material/end-product transportation costs and facility/s and pipeline installation costs. To determine possible locations for power plants, distance matrices were retrieved from suitable candidate power plant locations and agricultural parcel, settlement and the nearest high voltage electricity line from the Geographic Information System. The results showed that establishing one power plant is feasible. The net present value of a potential investment is almost 260 million Euros and the re-payment period is 1.33 years.


2020 ◽  
Vol 2 (2) ◽  
pp. 23-30
Author(s):  
Muhammad Harum Muhammad Harum

  ABSTRACT: Geographic Information Systems not only handle maps or images, but most importantly is the ability to handle large volumes of databases. The database concept is the center of a Geographic Information System and is a simple system that can only produce output in the form of geographical and spatial data from a region. The Geographical Information System Database (GIS) is formed having a spatial data topology structure, and can be used as basic data. The database is formed automatically from the results of surveys and measurements and the results of digitization of high-resolution image maps so that spatial data information can be obtained, to produce a new Geographic Information System database as a result of the merging of survey data and the results of digitization of image maps.    


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