scholarly journals Transparency with Blockchain and Physical Tracking Technologies: Enabling Traceability in Raw Material Supply Chains

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Angela v. Beckh Bacchetta ◽  
Volker Krümpel ◽  
Ella Cullen
Keyword(s):  
Literature Review ◽  
Supply Chains ◽  
Large Scale ◽  
Raw Materials ◽  
Physical World ◽  
Raw Material ◽  
Global Supply Chains ◽  
Academic Literature ◽  
Material Supply ◽  
Digital World

By combining blockchain with physical tracking technologies, raw materials can potentially be traced throughout their global supply chains. Physical tracking technologies enable observing how raw materials move within the physical world, whereas blockchain translates these events into the digital world with an immutable record. This paper presents a taxonomy of different physical tracking technologies and examines if and how the combination of these technologies render raw material supply chains more transparent. Although academic literature highlights the theoretical benefits of combining these transformative technologies, large scale projects are still in their early stages. Following a brief literature review, this paper leverages an empirical approach to classify different tracking technologies, their fields of application and limitations, as well as how these technologies can enable supply chain transparency. Obviously, there is no single technology that can fulfil all requirements along complex supply chains. However, the relevant combination of respective technologies can help bridge gaps by increasing transparency within supply chains.

Optimal Design and Techno-Economic Analysis for Corncob Particles Briquettes: A Literature Review of the Utilization of Agricultural Waste and Analysis Calculation

2021 ◽  
Author(s):  
Asep Bayu Dani Nandiyanto ◽  
Nissa Nur Azizah ◽  
Gabriela Chelvina Santiuly Girsang
Keyword(s):  
Optimal Design ◽  
Literature Review ◽  
Economic Analysis ◽  
Large Scale ◽  
Net Present Value ◽  
Raw Materials ◽  
Agricultural Waste ◽  
Raw Material ◽  
Variable Cost ◽  
Scale Production

Corncob is usually disposed of directly as waste, creating problems in the environment, while it can be converted into valuable materials. This research aimed to evaluate the literature review on briquette production from agricultural waste (using non-binder and cold press with a binder) and the current works on techno-economic analysis, to propose an optimal design for the production of briquette from corncob waste, and to perform a techno-economic analysis based on the selected optimal processing method. The engineering perspective based on stoichiometry and mass balance showed the potential corncob briquette manufacture in both home and large scales due to the possible use of inexpensive and commercially available equipment and raw materials. The economic perspective [based on several economic evaluation factors (i.e., gross profit margin, payback period, break-even point, cumulative net present value, return of investment, internal rate return, and profitability index) under ideal and non-ideal conditions by considering internal (i.e., sales, raw materials, utilities, and variable cost) and external aspects (i.e., tax)] confirmed the prospective development of the project in the large-scale production with a lifetime of more than 18 years. The main issue in the project is the raw material (i.e. tapioca flour), giving the most impact on the project’s feasibility. Even in severe conditions, the project is feasible. The great endurance was also confirmed in the case of a higher tax rate. This study demonstrates the importance of producing corncob-based briquettes for improving the economic value and giving alternatives for problem solvers in the utilization of agricultural waste.

scholarly journals Analysis and Optimization of Raw Material Supply Chains With Regard to Profitability and Sustainability

2020 ◽  
Author(s):  
Sebastian Trojahn ◽  
Henning Strubelt
Keyword(s):  
Supply Chains ◽  
Rare Earths ◽  
Raw Materials ◽  
Daily Life ◽  
Raw Material ◽  
Economic Viability ◽  
Hard Coal ◽  
Global Trade ◽  
Material Supply ◽  
First Time

Raw material logistics reflects an important aspect of global trade. Raw materials form an essential basis for society, for daily life, and range from apples to zinc. This paper addresses the analysis and optimization of supply chains of raw materials in terms of their economic viability and their sustainability. Type representatives are chosen according to annual transported quantities. Hard coal represents bulk goods, aluminum primary raw materials with medium quantities, and rare earths primary raw materials with small quantities. Their respective supply chains are analyzed and subsequently possible strategies and methods and their application are discussed. The paper shows for the first time that the selection and application of optimization priorities (e.g. profitability or sustainability) depends on the primary raw material and its integration into global production chains.

scholarly journals Problems of mineral raw material losses of quality and quantity management in developing of large-scale complex-structure deposits.

2018 ◽  
Vol 56 ◽  
pp. 04003
Author(s):  
Sergei Tkach
Keyword(s):  
Large Scale ◽  
Raw Materials ◽  
Complex Structure ◽  
Raw Material ◽  
Qualitative And Quantitative ◽  
Mineral Raw Material ◽  
Regulatory Documents ◽  
Geological Conditions ◽  
High Degree ◽  
Very High

The article deals with the problems of mineral raw material losses of quality and quantity management in developing of large-scale complex-structure and composition deposits of solid minerals. It is shown that a very high degree of mining and geological conditions variability in time and space for the development of mining units is typical for such deposits. This significantly complicates the qualitative and quantitative operating losses setting and accounting of mineral raw materials during its extraction in the framework of existing general and industry regulatory documents. Conceptual principles for face-by-face operational setting of losses and impoverishment of minerals for the conditions of bulk mining of complex-structure deposits with the formation of gross mining flow with economically feasible and specified level of quality (the content of commercial and harmful components) are stated. These principles generally do not contradict effective instructions main provisions and are made to minimize the total operating losses during the processing of several mine sections (faces).

Feeding a sustainable chemical industry: do we have the bioproducts cart before the feedstocks horse?

2017 ◽  
Vol 202 ◽  
pp. 11-30 ◽  
Author(s):  
Bruce E. Dale
Keyword(s):  
Supply Chains ◽  
Case Studies ◽  
Chemical Industry ◽  
Large Scale ◽  
Crop Residues ◽  
Raw Materials ◽  
Research Focus ◽  
Forestry Practices ◽  
Feedstock Production

A sustainable chemical industry cannot exist at scale without both sustainable feedstocks and feedstock supply chains to provide the raw materials. However, most current research focus is on producing the sustainable chemicals and materials. Little attention is given to how and by whom sustainable feedstocks will be supplied. In effect, we have put the bioproducts cart before the sustainable feedstocks horse. For example, bulky, unstable, non-commodity feedstocks such as crop residues probably cannot supply a large-scale sustainable industry. Likewise, those who manage land to produce feedstocks must benefit significantly from feedstock production, otherwise they will not participate in this industry and it will never grow. However, given real markets that properly reward farmers, demand for sustainable bioproducts and bioenergy can drive the adoption of more sustainable agricultural and forestry practices, providing many societal “win–win” opportunities. Three case studies are presented to show how this “win–win” process might unfold.

scholarly journals TLS and SfM Approach for Bulk Density Determination of Excavated Heterogeneous Raw Materials

Minerals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 174 ◽  
Author(s):  
Peter Blistan ◽  
Stanislav Jacko ◽  
Ľudovít Kovanič ◽  
Julián Kondela ◽  
Katarína Pukanská ◽  
...  
Keyword(s):  
Bulk Density ◽  
Laser Scanning ◽  
Large Scale ◽  
Raw Materials ◽  
Terrestrial Laser Scanning ◽  
Mineral Resources ◽  
Point Clouds ◽  
Raw Material

A frequently recurring problem in the extraction of mineral resources (especially heterogeneous mineral resources) is the rapid operative determination of the extracted quantity of raw material in a surface quarry. This paper deals with testing and analyzing the possibility of using unconventional methods such as digital close-range photogrammetry and terrestrial laser scanning in the process of determining the bulk density of raw material under in situ conditions. A model example of a heterogeneous deposit is the perlite deposit Lehôtka pod Brehmi (Slovakia). Classical laboratory methods for determining bulk density were used to verify the results of the in situ method of bulk density determination. Two large-scale samples (probes) with an approximate volume of 7 m3 and 9 m3 were realized in situ. 6 point samples (LITH) were taken for laboratory determination. By terrestrial laser scanning (TLS) measurement from 2 scanning stations, point clouds with approximately 163,000/143,000 points were obtained for each probe. For Structure-from-Motion (SfM) photogrammetry, 49/55 images were acquired for both probes, with final point clouds containing approximately 155,000/141,000 points. Subsequently, the bulk densities of the bulk samples were determined by the calculation from in situ measurements by TLS and SfM photogrammetry. Comparison of results of the field in situ measurements (1841 kg∙m−3) and laboratory measurements (1756 kg∙m−3) showed only a 4.5% difference in results between the two methods for determining the density of heterogeneous raw materials, confirming the accuracy of the used in situ methods. For the determination of the loosening coefficient, the material from both large-scale samples was transferred on a horizontal surface. Their volumes were determined by TLS. The loosening coefficient for the raw material of 1.38 was calculated from the resulting values.

scholarly journals Optimizing the Raw Material Supply Chain of the Wood Biomass Power Generation Industry for Different Stakeholders’ Benefits: An Analysis of Inner Mongolia, China

2020 ◽  
Vol 12 (5) ◽  
pp. 1887
Author(s):  
Yang Bai ◽  
He Yang ◽  
Yu Zhao ◽  
Min Zhang ◽  
Jinyuan Qin ◽  
...  
Keyword(s):  
Power Generation ◽  
Supply Chain ◽  
Inner Mongolia ◽  
Raw Materials ◽  
Raw Material ◽  
Western China ◽  
Mixed Integer ◽  
Utilization Rate ◽  
Wood Biomass ◽  
Material Supply

A large number of sand shrubs have been planted in western China, especially in Inner Mongolia. Sand shrubs produce a large amount of stump residue, and wood biomass power generation enterprises that use stump residue as raw materials have emerged in Wushen Banner and other areas. In this paper, the Mixed Integer Linear Programming (MILP) model is used to optimize the raw material supply chain of forest biomass power generation enterprises. Optimizations with different objectives represent the choices of different stakeholders. The optimization results are listed as follows. (1) The self-issuance behavior of enterprises is inconsistent with the enterprise behavior required by social planners; (2) When social planners only pay attention to environmental benefits, the utilization rate of raw materials in towns located far from a power plant will be greatly reduced, which is not conducive for the reuse of stump residue; (3) When social planners consider economic, environmental, and social benefits simultaneously, the utilization rate of raw materials in each town will be significantly improved, resources will be effectively utilized, and certain economic benefits will be realized; (4) It is possible to reduce the difficulty of achieving optimization goals by promoting industrial development and encouraging technological progress.

Microbial Oil Production from Lignocellulosic Biomass – Recent Development and Prospect

2014 ◽  
Vol 541-542 ◽  
pp. 397-403
Author(s):  
Zhang Nan Lin ◽  
Hong Juan Liu ◽  
Zhi Qin Wang ◽  
Jia Nan Zhang
Keyword(s):  
Lignocellulosic Biomass ◽  
Large Scale ◽  
Raw Materials ◽  
Oil Production ◽  
Renewable Resource ◽  
Raw Material ◽  
Biodiesel Production ◽  
Microbial Oil ◽  
Key Issues ◽  
Application Potential

Microbial oil is one of the ideal raw materials for biodiesel production because of its rapid reproduction and less influence by the climate and season variation. However, the high cost is one of the key issues that restricted its production in a large-scale. Lignocellulosic biomass, the cheap and renewable resource, might be the best raw material for microbial oil production by oleaginous microorganisms. Recent development on the microbial oil production from lignocellulosic biomass was summarized in this paper. Furthermore, the challenges and application potential of microbial oil were prospected.

scholarly journals APRIORI ALGORITHM IMPLEMENTATION TO DETERMINE PURCHASE PATTERNS OF RAW MATERIALS AT PT PENJALINDO NUSANTARA

2021 ◽  
Vol 6 (2) ◽  
pp. 151-158
Author(s):  
Dedi Rozaq Prastyo ◽  
Sri Dianing Asri
Keyword(s):  
Data Mining ◽  
Raw Materials ◽  
Raw Material ◽  
Apriori Algorithm ◽  
Customer Demand ◽  
Web Based ◽  
Material Supply ◽  
Purchase Patterns ◽  
Algorithm Implementation ◽  
Data Mining Application

PT. Penjalindo Nusantara is a manufacturing company in the packaging field where production depends on customer demand or what is commonly known as job orders so that timely production work and availability of sufficient materials are mandatory for the company. There was a problem in the implementation of the raw material supply strategy by PT. Penjalindo Nusantara caused delays in the supply of raw material stocks. The solution to this problem is to apply the Apriori algorithm to find out what raw materials are being purchased simultaneously so that it can be the basis for implementing a purchasing strategy in supporting the effectiveness of procurement of raw material stocks and also saving time in sending raw materials by suppliers. This research uses a Web-based data mining application to find the raw material purchase pattern. The result of this research is obtained 11 patterns of purchasing raw materials using a minimum value of 90% support and a minimum of 100% confidence with a lift ratio of 1 as a reference for determining which raw materials will be purchased at the same time.

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