Development of Integrated Warehouse Application for Retail Business with Multi-Echelon Demand using Open-source ERP System

The Integrated Warehouse Application (IWA) is a platform that combines inventory management, order management, warehouse operations, shipping, logistics, and reporting and analysis. It helps users manage their inventory to meet supply and demand requirements. Although many large companies use IWA to increase their operational efficiency, its complexity, technology, and customization requirements make it too expensive for small and medium-sized enterprises (SMEs). Our study focuses on SMEs in the retail business, where fast and accurate order processing is important for customer satisfaction and loyalty. We researched how to accommodate multi-echelon demand for the retail industry. To address these challenges, we used an Open-source ERP System called Odoo to create the IWA. Our findings show that implementing an integrated warehouse inventory system like the one provided by Odoo can offer real-time visibility into inventory levels, orders, and shipments. Automating manual processes enhances speed and accuracy, which improves customer service and business performance

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes

Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. Several environmental factors are involved in determining drought classes at the specific monitoring station. Therefore, efficient sequence processing techniques are required to explore and predict the periodic information about the various episodes of drought classes. In this study, we proposed a new weighting scheme to predict the probability of various drought classes under Weighted Markov Chain (WMC) model. We provide a standardized scheme of weights for ordinal sequences of drought classifications by normalizing squared weighted Cohen Kappa. Illustrations of the proposed scheme are given by including temporal ordinal data on drought classes determined by the standardized precipitation temperature index (SPTI). Experimental results show that the proposed weighting scheme for WMC model is sufficiently flexible to address actual changes in drought classifications by restructuring the transient behavior of a Markov chain. In summary, this paper proposes a new weighting scheme to improve the accuracy of the WMC, specifically in the field of hydrology

Integrasi Rantai Pasokan Tiga Eselon (Supplier-Manufacturer-Distributor-Drop Shipper) Dengan Permissible Delay In Payment Dan Kontrak Pinalti

Manajemen rantai pasokan (supply chain management - SCM) harus dipertimbangkan dalam perusahaan dengan tujuan meningkatkan keberlanjutan dan daya saing. SCM dijalankan untuk mengintegrasikan perusahaan-perusahaan dalam rantai pasokan dengan cara mengkoordinasikan aliran bahan, informasi, dan keuangan. Salah satu cara perusahaan dalam meningkatkan daya saing rantai pasokan adalah dengan melakukan koordinasi. Keringanan penundaan pembayaran selama jangka waktu tertentu, yang lebih populer dengan sebutan delay in payment merupakan salah satu cara koordinasi dengan memperbolehkan pelanggan menunda pembayaran kepada vendor tanpa beban bunga selama periode tertentu. Dalam sistem rantai pasokan, pemain drop-shipping bukanlah hal yang baru di era sekarang ini. Pada model bisnis drop-shipping, supplier akan memegang persediaan dan juga akan melaksanakan layanan distribusi fisik atas nama drop-shipper. Sehingga drop-shipper hanya berfokus pada penjualan, sedangkan proses fisik tetap akan ditangani oleh supplier mereka. Umumnya drop-shipper memiliki informasi permintaan pelanggan yang lebih baik daripada distributor. Tidak jarang drop-shipper mengirimkan perkiraan permintaan yang jumlahnya lebih dari estimasi mereka. Kontribusi dalam penelitian ini akan difokuskan pada integrasi dari rantai pasokan tiga eselon, yaitu supplier, manufaktur, distributor, dan drop-shipper. Akan digunakan pertimbangan koordinasi delay in payment pada eselon 1 dan 2, juga kontrak pinalti pada eselon 3. Permasalahan pada penelitian ini akan dimodelkan dan diselesaikan kedalam beberapa skenario kasus yang dapat merepresentasikan kondisi sistem nyata rantai pasokan yang diteliti. Sehingga dapat mengidentifikasi skenario terbaik dari setiap pemain dalam rantai pasokan. Kemudian dilakukan analisa sensitivitas pada beberapa variabel yang dianggap signifikan terhadap perubahan total biaya rantai pasokan. Melalui hasil yang diperoleh, dapat disimpulkan koordinasi dengan pertimbangan delay in payment berhasil mengintegrasikan beberapa pemain dalam rantai pasokan. Begitu juga pada koordinasi dengan media kontrak pinalti dapat mengkoordinasikan pemain dalam rantai pasokan sekaligus menjaga profit dari distributor dan drop-shipper. ======================================================================================================================== Supply chain management (SCM) have to be considered to improve the sustainable and competitiveness. SCM executed to integrating any companies on the supply chain in a way of coordinating the flow of goods, informations, and financial. Permissible delay in payment is one of the coordination way with allowing the costumers delay the payments to vendor in some certain periods without any interest charges. In the supply chain system, drop-shipping player already familiar in this era. In drop-shipping internet retailing, supplier will hold supplies and also carry out physical distribution service on behalf of drop-shipper. Drop-shipper will just focus on selling, in the other hand, their supplier will be responsible for physical process. Generally, drop-shipper have informations on the customer demands better than distributor. But, it is also unrare when the drop-shipper send the estimation of demands which bigger than their own estimation in order to maximize their own interest, so they hope supplies of distributor will always enough to accommodate their demands. Contributions in this research will be focused on integration of three echelons supply chain, which are supplier, manufacture, distributor, and drop-shipper. With considering delay in payment on first and second echelons, and also the contract penalty on third echelon. The problem on this research will be modeled in some kind of cases which can represent the problem of real supply chain system. Sensitivity analysis will be done on certain significant variables toward the changes of total supply chain cost. Coordination with delay in payment success to integrate supply chain. Contract penalty plan success to maintain the profit of distributor and drop-shipper

OS-Learn: Mobile Learning Application for Operating System with Augmented Reality

Theoretical subjects or courses are often disliked among students due to its massive load of information which often lead to misconception or confusion. As a result, most students would resolve to rote learning instead. Therefore, the purpose of this research is to design and develop OS - Learn, a mobile application created to help students in learning theoretical subjects such as operating systems concepts. The core element of OS-Learn would be active engagement, such as the use of visualization and improving memory retention. OS-Learn use AR elements as part of its visualization technique ADDIE model was selected as the framework to design and develop the application. User acceptance testing was performed after the development phase to obtain feedback from potential users which are university students. Thirty students were selected to evaluate the mobile app based on its design, navigation, and content. Each respondent was given set of tasks and were required to complete a questionnaire based on their experience using the app li cation . The outcome was mostly positive where most respondents were satisfied with the overall design of the mobile application . F eedback and suggestions were also collected then reviewed to make necessary adjustments to the application before being deployed

Crime Prediction using Machine Learning with a Novel Crime Dataset

Crime is an unlawful act that carries legal repercussions. Bangladesh has a high crime rate due to poverty, population growth, and many other socio-economic issues. For law enforcement agencies, understanding crime patterns is essential for preventing future criminal activity. For this purpose, these agencies need structured crime database. This paper introduces a novel crime dataset that contains temporal, geographic, weather, and demographic data about 6574 crime incidents of Bangladesh. We manually gather crime news articles of a seven year time span from a daily newspaper archive. We extract basic features from these raw text. Using these basic features, we then consult standard service-providers of geo-location and weather data in order to garner these information related to the collected crime incidents. Furthermore, we collect demographic information from Bangladesh National Census data. All these information are combined that results in a standard machine learning dataset. Together, 36 features are engineered for the crime prediction task. Five supervised machine learning classification algorithms are then evaluated on this newly built dataset and satisfactory results are achieved. We also conduct exploratory analysis on various aspects the dataset. This dataset is expected to serve as the foundation for crime incidence prediction systems for Bangladesh and other countries. The findings of this study will help law enforcement agencies to forecast and contain crime as well as to ensure optimal resource allocation for crime patrol and prevention.Comment: 24 page

Viral hepatitis - The road traveled and the journey remaining

Hepatitis is defined as inflammation of the liver and is commonly due to infection with The hepatotropic viruses - hepatitis A, B, C, D and E. Hepatitis carries one of the highest disease burdens globally and has caused significant morbidity and mortality among different patient populations. Clinical presentation varies from asymptomatic or acute flu-like illness to acute liver failure or chronic liver disease, characterized by jaundice, hepatomegaly and ascites among many other signs. Eventually, this can lead to fibrosis (cirrhosis) of the liver parenchyma and carries a risk of development into hepatocellular carcinoma. Hepatitis B and C are most notorious for causing liver cirrhosis; in 2019, an estimated 296 million people worldwide had chronic hepatitis B infection and 58 million are currently estimated to have chronic hepatitis C, with 1.5 million new infections of both hepatitis B and C, occurring annually. With the help of latest serological biomarkers and viral nucleic acid amplification tests, it has become rather simple to efficiently screen, diagnose and monitor patients with hepatitis, and to commence with appropriate antiviral treatment. More importantly, the development of vaccinations against some of these viruses has greatly helped to curb the infection rates. Whilst there has been exceptional progress over the years in the management of viral hepatitis, many hurdles still remain which must be addressed in order to proceed towards a hepatitis-free world. This review will shed light on the origin and discovery of the hepatitis viruses, the global epidemiology and clinical symptoms, diagnostic modalities, currently available treatment options, the importance of prevention, and the journey needed to move forward towards the eradication of its global disease burden

An effective hybrid ant lion algorithm to minimize mean tardiness on permutation flow shop scheduling problem

This article aimed to develop an improved Ant Lion algorithm. The objective function was to minimize the mean tardiness on the flow shop scheduling problem with a focus on the permutation flow shop problem (PFSP). The Hybrid Ant Lion Optimization Algorithm (HALO) with local strategy was proposed, and from the total search of the agent, the NEH-EDD algorithm was applied. Moreover, the diversity of the nominee schedule was improved through the use of swap mutation, flip, and slide to determine the best solution in each iteration. Finally, the HALO was compared with some algorithms, while some numerical experiments were used to show the performances of the proposed algorithms. It is important to note that comparative analysis has been previously conducted using the nine variations of the PFSSP problem, and the HALO obtained was compared to other algorithms based on numerical experiments

Magnetic Deflection Coefficient Investigation for Low Energy Particles

In this research we solved numerically Boltzmann transport equation in order to calculate the transport parameters, such as, drift velocity, W, D/? (ratio of diffusion coefficient to the mobility) and momentum transfer collision frequency ?m, for purpose of determination of magnetic drift velocity WM and magnetic deflection coefficient ? for low energy electrons, that moves in the electric field E, crossed with magnetic field B, i.e; E×B, in the nitrogen, Argon, Helium and it's gases mixtures as a function of: E/N (ratio of electric field strength to the number density of gas), E/P300 (ratio of electric field strength to the gas pressure) and D/? which covered a different ranges for E/P300 at temperatures 300°k (Kelvin). The results showed had been tabulated and graphically represented as functions of their variables. These results a satisfactory agreement between experimental values and theoretical data given in the literature showed

Analysis of a high pressure diesel spray at high pressure and temperature environment conditions

This paper illustrates the results of an experimental characterization of a high pressure diesel spray injected by a common rail (CR) injection system both under non-evaporative and evaporative conditions. Tests have been made injecting the fuel with a single hole injector having a diameter of 0.18 mm with L/D=5.56. The fuel has been sprayed at 60, 90 and 120 MPa, with an ambient pressure ranging between 1.2 to 5.0 MPa. The spray evolution has been investigated, by the Mie scattering technique, illuminating the fuel jet and acquiring single shot images by a CCD camera. Tests under non-evaporative conditions have been carried out in an optically accessible high pressure vessel filled with inert gas (N2) at diesel-like density conditions. The instantaneous fuel injection rate, obtained with a time resolution of 10 microseconds, has been also evaluated by an AVL Fuel Meter working on the Bosch Tube principle. Tests for the evaporative conditions have been conducted on a crank-case scavenged single cylinder 2-stroke direct injection Diesel engine at the rotational speed of 500 rpm. The engine provides a wide optical access and the gas velocity within the combustion chamber is low enough to assume that the fuel is injected under quiescent conditions as those reproduced for the experiments under high density gas chamber. Spray penetration and cone angle have been estimated at the same operative conditions as for the non-evaporative ones. Results have showed that the tip penetration, obtained by digital post-processing of the spray image sequence, increases with the injection time under non-evaporative conditions whereas, under evaporative conditions, it reaches a maximum early during the injection and remains constant or slightly decreases at later time up to the start of combustion. The cone angle, estimated under evaporative conditions, has given a decreasing profile along the injection interval. Applying the jet theory to a simplified model of fuel spray, the evaporated fuel mass has been estimated at the same gas density as that under non evaporative tests