scholarly journals Increasing Supply-Chain Visibility with Rule-Based RFID Data Analysis

2009 ◽  
Vol 13 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Alexander Ilic ◽  
Thomas Andersen ◽  
Florian Michahelles
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Rule Based ◽  
Rfid Data

scholarly journals False Positive RFID Detection Using Classification Models

2019 ◽  
Vol 9 (6) ◽  
pp. 1154 ◽  
Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Bohan Yoon ◽  
Jongtae Rhee
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Real Time ◽  
Outlier Detection ◽  
Radio Frequency Identification ◽  
False Positives ◽  
Machine Learning Algorithms ◽  
Classification Model ◽  
Automated Identification ◽  
Rfid Data

Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time. However, one problem that occurs during RFID data capturing is false positives (i.e., tags that are accidentally detected by the reader but not of interest to the business process). This paper investigates using machine learning algorithms to filter false positives. Raw RFID data were collected based on various tagged product movements, and statistical features were extracted from the received signal strength derived from the raw RFID data. Abnormal RFID data or outliers may arise in real cases. Therefore, we utilized outlier detection models to remove outlier data. The experiment results showed that machine learning-based models successfully classified RFID readings with high accuracy, and integrating outlier detection with machine learning models improved classification accuracy. We demonstrated the proposed classification model could be applied to real-time monitoring, ensuring false positives were filtered and hence not stored in the database. The proposed model is expected to improve warehouse management systems by monitoring delivered products to other supply chain partners.

scholarly journals The Effect of Transformational Leadership on Firm Performance through ERP Systems and Supply Chain Integration in the Food and Beverage Industry

2021 ◽  
Vol 4 (1) ◽  
pp. 65-73
Author(s):  
Kezia Jade Setiabudi ◽  
Hotlan Siagian ◽  
Zeplin Jiwa Husada Tarigan
Keyword(s):  
Transformational Leadership ◽  
Supply Chain ◽  
Data Analysis ◽  
Firm Performance ◽  
Supply Chain Integration ◽  
Company Performance ◽  
Beverage Industry ◽  
Food And Beverage ◽  
Upper Level ◽  
Transformation Leadership

This study aims to examine the effect of transformational leadership on company performance using ERP technology and supply chain integration in food and beverage companies. The survey uses a questionnaire designed using a 5-point Likert scale. As many as 100 questionnaires were distributed to 100 food and beverage companies domiciled in the region of Surabaya, East Java, Indonesia. Respondents were from the supervisor and upper level as considered the most knowledgeable person in the company. The number of valid data is 55 respondents representing 55 companies from 100 respondents. Data analysis using Smart PLS. The results of the data analysis show that transformation Leadership does not directly affect firm performance; transformation Leadership does not affect supply chain integration. ERP Application influences firm Performance, supply chain integration influences firm performance, ERP Application affects supply chain integration. An additional finding is that transformational leadership indirectly affects firm performance. This result enriches the insight for the manager in enhancing firm performance. This paper also contributes to the current research in the field of supply chain management.

scholarly journals The mediating effect of big data analysis on the process orientation and information system software to improve supply chain process in Saudi Arabian industrial organizations

2021 ◽  
pp. 135-142 ◽  
Author(s):  
Ahmed Faek Elgendy
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Systems ◽  
Data Analysis ◽  
Saudi Arabian ◽  
Big Data Analysis ◽  
Chain Process ◽  
Process Orientation ◽  
Industrial Organizations ◽  
Supply Chain Process

This study aims to investigate the nature of the relationship between Big Data Analysis as a mediator in Process Orientation (PO) and Information Systems Programming (ISP) to supply chains processes in Saudi Arabian industrial organizations. A stratified random sample of 357 managers and employees working in 37 industrial companies in Saudi Arabia was tested. The study relied on the descriptive and analytical research methodology. The results indicated that there is a significant indirect effect of Big Data Analysis (Planning, Procuring, Manufacturing, Delivering) as the mediator on Process Orientation and Information Systems Programming (ISP) and (PO) to improve supply chain process as well as organizational effectiveness. The researcher made a number of recommendations for the Saudi Arabian manufacturing firms to develop analytical capabilities in managers in order to utilize big data analysis as a tool to increase efficiency and effectiveness in the organizational system. A wide spread awareness program about the benefits to adopt big data analysis and management information systems may be adopted to ensure an efficient supply chain system.

scholarly journals EVALUATION OF THE EFFECT OF CORONAVIRUS PANDEMIC ON SUPPLY CHAIN OF HIV TEST KITS ONDO STATE, SOUTHWEST NIGERIA

2021 ◽  
Vol 6 (9) ◽  
pp. 34-78
Author(s):  
Michael Olabode Tomori ◽  
Funmilayo Adenike Fadiji
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Communicable Disease ◽  
Primary Objective ◽  
Health Facilities ◽  
Least Square ◽  
National Guidelines ◽  
Cross Sectional ◽  
Hiv Test ◽  
Ondo State

COVID-19 pandemic has required swift revamping of health systems and public health measures at a scale never observed. The pandemic emergence has a direct effect on the health system, negatively affecting its capacity as depletion of resources are now channelled to curb the emergency of the communicable disease, especially among individuals living with HIV disease which drew our attention to how individuals suffering from HIV and people who needed to know their HIV status has not been able to visit the health facilities due to the effect of coronavirus pandemic on the supply of the test kits used in the health facilities. This study evaluated the effect of the coronavirus pandemic on the supply chain of HIV test kits in Ondo State, Nigeria. The primary objective was to determine the effect of the coronavirus pandemic on the supply of HIV test kits in Ondo State. The research was a sequential cross-sectional design using a quantitative method of analysis with a total sample size of 100 respondents with all samples drawn from 30 supported health facilities in the state. In addition, literature review was also used to know the effect of the coronavirus on reach of 95% of UNAIDS 2030 target. The study used both descriptive and inferential methods of data analysis where the descriptive statistics comprise of frequency distribution, percentage distribution, weighted mean score, and standard deviation while the inferential method of data analysis used ordinal least square (simple linear regression) to determine the effect of coronavirus pandemic on the supply chain test kits. Findings from the result concluded that pandemic and the methods of supply chain management indicated a significant effect. In addition, from the review the major impacts of COVID-19 were innovation, increased technology, research and development, depletion of supply chain personnel. Therefore, there is a need to develop national guidelines on supply chain strategy for emergencies in Nigeria as well as adhere strictly to some recommendations made in the study.

scholarly journals ANALISIS MODEL MANAJEMEN PERMINTAAN SCM NETWORK DAN PERAMALAN PERMINTAAN PADA PENJUALAN BUSANA MUSLIM MENGGUNAKAN METODE LINEAR REGRESSION

2021 ◽  
Vol 5 (1) ◽  
pp. 28-32
Author(s):  
Vela Maghfiroh ◽  
◽  
Yusuf Amrozi ◽  
Qushoyyi Bondan Prakoso ◽  
Mochamad Adam Aliansyah
Keyword(s):  
Time Series ◽  
Supply Chain ◽  
Data Analysis ◽  
Linear Regression ◽  
Error Rate ◽  
Moving Average ◽  
Bullwhip Effect ◽  
Lifestyle Changes ◽  
Linear Regression Method ◽  
Analysis Techniques

Supply chain management is very important for a company because it will affect supply performance in the company. Doing business in this era has many challenges that must be faced, especially in the Muslim clothing business. The way to stabilize the demand diagram of the Muslim clothing business, retailers are required to manage the supply chain so that they can meet the total demand. The object of this research is Rabbani Cirebon which was obtained from a literature study published in a journal entitled "Trend of Muslim Lifestyle Changes" from Banjarmasin State Polytechnic. The journal has sales data based on product types from monthly in 2016. From this data will be processed and analyzed using data analysis techniques. This data analysis technique uses time series forecasting data analysis techniques. From this time series method, this research uses moving average and linear regression. After modeling the data, the forecast error is measured using MAD, MAPE, RMSE, and MSE. The overall MSE results were 103731.8 and RMSE 322.0743. The benefit of demand forecasting is to reduce the Bullwhip Effect, plan future resources, for example, such as stock management, place control, product distribution, and demand for raw materials so as to make the right decisions. The results showed that the linear regression method has better forecasting than the moving average because linear regression has a smaller error rate than the moving average. But even so, the error rate of this study is still very large, so it is necessary to do more research to minimize the error rate.

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