Constructing a Real-Time Value-Chain Integration Architecture for Mass Individualized Juice Production

Jen Hin Hang,Sze Kai Gan,Zheng Hung Gan,Wah Pheng Lee,Thein Lai Wong,Ching Pang Goh,Donovan Sheldon Charles,Yee Mei Lim

doi:10.3390/info13020056

Abstract

Mass individualized production refers to the mass production of individualized products. It becomes important for delivering a personalized customer experience in the Industrial Revolution 4.0 era. Developing seamless value chain integration between enterprises to achieve mass individualized production is challenging. Based on Reference Architecture Model Industrie 4.0 (RAMI 4.0), this paper aims to address two major challenges, which are asset modeling and integration, and data communication and brokering in a value chain data exchange ecosystem. This paper proposes a communication architecture that enables both vertical and horizontal value-chain integration. A proof-of-concept is built, which involves two stakeholders. The first is the individualized juice online ordering system, named PEC, and the second is a highly automated individualized mixed juice production manufacturing line, named OMIS. Three different tests are conducted in the experiments. The first is to test the creation of assets wrapped in the asset administration shell. The second is to test the connectivity between the Asset Brokering Manager (ABM) Connector and the ABM Portal. Last is to test the connectivity performance between two Asset Administration Systems. As a result, the experiments successfully created the asset instance data accurately, and the data were published in the ABM Portal for subscription by PEC and OMIS. The connectivity tests from OMIS to PEC, and vice versa, were successful, with the time taken of 114 and 121 ms, respectively.

Highlights

With the continuous improvement of living standards, customer behavior has shifted towards demanding products that are characterized by individualization, better known as the Customer to Business (C2B) model [1]
Based on the RAMI 4.0 guidelines, this paper proposes an architecture that is designed to address two major problems, which are (i) asset modeling and integration and (ii) data communication and brokering
Order” asset is maintained in the Personalized E-Commerce (PEC) Asset Administration System (AAdSys) to be shared with One-Piece Manufacturing through Individualization Solution (OMIS) in the test case

Summary

Introduction

With the continuous improvement of living standards, customer behavior has shifted towards demanding products that are characterized by individualization, better known as the Customer to Business (C2B) model [1]. The shift of consumer behavior towards individualized products significantly affects the existing manufacturing paradigm. Modern manufacturing lines shall produce these consumer-driven order items as efficiently as possible. This can be enabled by automation combined with information technology and operation technology, such as Industry Internet of Things (IIoT), artificial intelligence, and cloud computing, to improve accessibility to real-time data. The smart sensors, installed at different stations, are interconnected and controlled by computer software to gather huge amounts of data for real-time analysis. This allows the company to monitor, identify, and amend the inefficiencies or problems in any manufacturing processes without any delay

Objectives

Results

Conclusion