scholarly journals E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

2021 ◽  
Vol 126 (2) ◽  
pp. 843-854
Author(s):  
Shiyan Xu ◽  
Jun Chen ◽  
Maoguo Wu ◽  
Chenyang Zhao
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Process Optimization ◽  
Chain Process ◽  
Whole Process ◽  
Supply Chain Process

Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology

2021 ◽  
pp. 1635-1654
Author(s):  
Raja Jayaraman ◽  
Khaled Salah ◽  
Nelson King
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
The Internet ◽  
Chain Process ◽  
Product Recalls ◽  
Chain Processes ◽  
Blockchain Technology ◽  
Compromise Patient Safety ◽  
Supply Chain Process ◽  
The Internet Of Things

Despite key advances in healthcare informatics and management, little progress to address supply chain process-related problems has been made to date. Specifically, key healthcare supply chain processes include product recalls, monitoring of product supply shortages, expiration, and counterfeits. Implementing and executing these processes in a trusted, secure, efficient, globally accessible and traceable manner is challenging due to the fragmented nature of the healthcare supply chain, which is prone to systemic errors and redundant efforts that may compromise patient safety and impact health outcomes adversely. Blockchain, combined with the Internet of things (IoT), is an emerging technology that can offer a practical solution to these challenges. Accordingly, IoT blockchain offers a superior way to track and trace products via a peer-to-peer distributed, secure, and shared ledger of the blockchain network. This article highlights key challenges related to healthcare supply chains, and illustrates how IoT blockchain technologies can play a role in overcoming these challenges now and in the near future.

scholarly journals DESAIN SISTEM INFORMASI UNTUK TRACKING DAN TRACING PADA WAREHOUSE DENGAN MENGGUNAKAN TEKNOLOGI QR CODE

2021 ◽  
Vol 16 (2) ◽  
pp. 102-108
Author(s):  
Ivan Taufan Adiwinoto
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Internet Of Things ◽  
System Design ◽  
Industrial Revolution ◽  
System Development ◽  
Qr Code ◽  
Chain Process ◽  
Information System Design ◽  
Supply Chain Process

Industrial Revolution 4.0 menyebabkan pelaku supply chain untuk dapat terus beradaptasi dengan teknologi agar tetap kompetitif. Salah satu cara yang dapat digunakan bagi pelaku supply chain adalah dengan menerapkan teknologi IoT untuk membantu memudahkan pelaku supply chain dalam melakukan proses tracking dan tracing inventory. Dengan adanya IoT ini, seluruh pergerakan mulai dari proses penerimaan inventory sampai proses pengeluaran inventory dapat tercatat secara sistem online. Proses tracking dan tracing ini bertujuan untuk membantu mengetahui posisi dari inventory pada warehouse dan memastikan jika inventory dikeluarkan mengikuti aturan FIFO. Desain sistem berbasis IoT ini dibuat dengan menggunakan metode pendekatan System Development Live Cycle (SDLC) sampai pada tahapan desain sistem. Hasil akhir dari studi ini adalah desain sistem informasi yang menggunakan teknologi IoT dan QR code untuk proses tracking dan tracing inventory di dalam warehouse. Dengan adanya sistem informasi ini, jumlah inventory yang kadaluarsa dapat menurun. Abstract[Information System Design for Tracking and Tracing Using QR Code in Warehouse] Industrial Revolution 4.0 causes supply chain player to continue adapting technology to stay competitive. One way for supply chain player is by implementing Internet of Things (IoT) for tracking dan tracing inventory in supply chain process. With IoT, all inventory movement and activity from inbound area to outbound area can be recorded by system. This tracking and tracing process aim to help determine the position of the inventory in warehouse and ensure the issued inventory is following FIFO rules. This IoT-based system created using System Development Live Cycle (SDLC) approach up to system design step. The result of this study is an information system design that uses IoT and QR code technology for tracking and tracing inventory in warehouse. With this information system, the amount of expired inventory can decrease.Keyword: supply chain; tracing; tracking; QR code

Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology

2019 ◽  
Vol 14 (2) ◽  
pp. 49-65 ◽  
Author(s):  
Raja Jayaraman ◽  
Khaled Salah ◽  
Nelson King
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
The Internet ◽  
Chain Process ◽  
Product Recalls ◽  
Chain Processes ◽  
Blockchain Technology ◽  
Compromise Patient Safety ◽  
Supply Chain Process ◽  
The Internet Of Things

Despite key advances in healthcare informatics and management, little progress to address supply chain process-related problems has been made to date. Specifically, key healthcare supply chain processes include product recalls, monitoring of product supply shortages, expiration, and counterfeits. Implementing and executing these processes in a trusted, secure, efficient, globally accessible and traceable manner is challenging due to the fragmented nature of the healthcare supply chain, which is prone to systemic errors and redundant efforts that may compromise patient safety and impact health outcomes adversely. Blockchain, combined with the Internet of things (IoT), is an emerging technology that can offer a practical solution to these challenges. Accordingly, IoT blockchain offers a superior way to track and trace products via a peer-to-peer distributed, secure, and shared ledger of the blockchain network. This article highlights key challenges related to healthcare supply chains, and illustrates how IoT blockchain technologies can play a role in overcoming these challenges now and in the near future.

How novice analysts understand supply chain process models: an experimental study of using diagrams and texts

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran
Keyword(s):  
Supply Chain ◽  
Information Acquisition ◽  
Empirical Evaluation ◽  
Process Models ◽  
Chain Process ◽  
Content Type ◽  
Textual Representations ◽  
Scor Model ◽  
Supply Chain Process ◽  
Diagram Group

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.

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.

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