E-Commerce Logistics System Based on Internet of Things

In order to improve the efficiency of the e-commerce logistics system, this paper analyzes the application of dynamic bandwidth resource allocation algorithm in intelligent logistics tracking scenarios and distribution scenarios, and achieves the purpose of optimizing the allocation of bandwidth resources by changing the sampling rate of the control signal. Moreover, this paper designs and implements an e-commerce logistics information system based on the Internet of Things, and starts with each functional module to introduce in detail the various functions realized by the system in this paper. This article changes the traditional logistics operation mode, through the realization of various functional modules, users can grasp personal historical orders and view the list of historical orders. Finally, this paper analyzes the performance of this system through experimental research. The results of the research show that the e-commerce logistics system based on the Internet of Things proposed in this paper is effective.

Management Problems of Modern Logistics Information System Based on Data Mining

With the development of technology, the data stored by humans is growing geometrically. Especially in the logistics industry, the rise of online e-commerce has created a huge data flow in the informatized logistics network. How to collect, analyze, and organize this information in time and analyze the meaning of this information from it is a difficult problem. The paper aims to learn the management of logistics systems from the perspective of statistics. This article uses random analysis of 1,000 customers’ logistics records from the logistics enterprise information system, uses mathematical analysis and matrix theory to analyze the correlation among them, and analyzes customer types and shopping. The information on habits, daily consumption patterns, and brand preferences is classified and summarized using mathematical statistics. The experimental results show that the results of the study can well reflect customers’ daily habits and consumption habits. The experimental data show that mining effective and accurate information from massive information can help companies to quickly make decisions, formulate scientific logistics management programs, improve operating efficiency, reduce operating costs, and obtain good benefits.

RANCANGAN ARSITEKTUR SISTEM INFORMASI LOGISTIK BERBASIS CYBER-PHYSICAL SYSTEMS DENGAN TEKNOLOGI BIG DATA DAN INTERNET OF THINGS

Era Industri 4.0 sangat dipengaruhi oleh perkembangan teknologi informasi khususnya teknologi big data dan internet of things. Dua teknologi tersebut membangun sebuah paradigma baru yang disebut dengan Cyber-Physical System (CPS). CPS didefinsikan sebagai interkoneksi antara lingkungan fisik dengan program komputer melalui teknologi sensor/ IoT. Penerapan CPS di berbagai bidang bisnis/ industri akan semakin memperkuat nilai bisnis yang ditawarkan kepada customer. Salah satu bidang industri yang akan mengalami peningkatan signifikan dengan penerapan CPS adalah bidang logistik. Pengembangan Sistem Informasi Logistik dengan pengimplementasian konsep CPS akan memberikan nilai tambah bagi sektor logistik secara keseluruhan. Untuk mewujudkan hal tersebut, diperlukan sebuah studi konspetual bagaimana teknologi big data dan internet of things dapat diimplementasikan dalam sistem logistik. Sehingga, dalam penelitian ini, akan dikembangkan suatu rancangan arsitektur Sistem Informasi Logistik berbasis teknologi big data dan IoT untuk mendukung penerapan CPS dalam bidang logistik. AbstractThe era of Industry 4.0 is strongly influenced by information technology developments, especially big data technology and the internet of things. The two technologies build a new paradigm called Cyber-Physical System (CPS). CPS is defined as the interconnection between the physical environment and computer programs through sensor / IoT technology. The application of CPS in various business / industry fields will further strengthen the business value offered to customers. One of the industrial fields that will experience a significant increase with CPS's application is the field of logistics. The development of the Logistics Information System by implementing the CPS concept will provide added value to the Logistics sector as a whole. To make this happen, we need a conceptual study of how big data technology and the internet of things can be implemented in the logistics system. Therefore, in this study, a Logistics Information System architecture design will be developed based on big data and IoT technology to support CPS's application in logistics.Keywords: Logistic Information Systems; Cyber-Physical System; big data; internet of things

Influence of Public Procurement and Asset Disposal Act on Performance of Executive State Corporations in Kenya

Purpose: The purpose of the study was to examine influence of public procurement and asset disposal Act on performance of executive state corporations in Kenya with an aim of making recommendations on proper use. Methodology: The study employed a descriptive research design targeting the all 62 executive state corporations operating in Kenya. Data was collected from heads of procurement and their deputies in the entities. The researcher preferred this method because it allowed an in-depth study of the subject. Data was collected using self-administered questionnaires. Structured questionnaires were used to collect data. Data was analyzed using descriptive and inferential statistics. Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 22. The response rate of the study was 81%. The findings of the study indicated that regulation bodies, methods of procurement, preferences and reservations and disposal of assets have a positive relationship with performance of executive state corporations in Kenya. Results and conclusion: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of executive state corporations in Kenya can be explained or predicted by (preferences and reservation, regulation bodies, disposal of assets and methods of procurement) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β=0.715), p=0.000 <0.05). The findings of the study indicated that logistics information system, freight management, distributor base rationalization and transport planning have a positive relationship with performance of freight forwarding companies in Kenya. Unique contribution to theory, policy and practice: Finally, the study recommended that public institutions should embrace regulation bodies, methods of procurement, preferences and reservations and disposal of assets so as to improve performance of executive state corporations and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

Influence of Logistics Optimization on Performance of Freight Forwarding Companies in Kenya

Purpose: The purpose of the study is to investigate the influence of logistics optimization on performance of freight forwarding companies in Kenya. Methodology: Descriptive research design was adopted. The study preferred this method because it allows an in-depth study of the subject. Data was collected from deputy heads and heads of procurement in 45 freight forwarding companies in Kenya, who are registered members of KIFWA according to its 2019 directory. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor variables. Results and conclusion: The independent variables reported R value of 0.846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in performance of the freight forwarding companies can be explained or predicted by (logistics information system, freight management, distributor base rationalization and transport planning) which indicated that the model fitted the study data. The findings of the study indicated that logistics information system, freight management, distributor base rationalization and transport planning have a positive relationship with performance of freight forwarding companies in Kenya. Unique contribution to theory, policy and practice: the study recommended that freight forwarding companies should embrace logistics optimization so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.