Abstract

Cloud computing is changing the ways software is developed and managed in enterprises, which is changing the way of doing business in that dynamically scalable and virtualized resources are regarded as services over the Internet. Traditional manufacturing systems such as supply chain management (SCM), customer relationship management (CRM), and enterprise resource planning (ERP) are often developed case by case. However, effective collaboration between different systems, platforms, programming languages, and interfaces has been suggested by researchers. In cloud-computing-based systems, distributed resources are encapsulated into cloud services and centrally managed, which allows high automation, flexibility, fast provision, and ease of integration at low cost. The integration between physical resources and cloud services can be improved by combining Internet of things (IoT) technology and Software-as-a-Service (SaaS) technology. This study proposes a new approach for developing cloud-based manufacturing systems based on a four-layer SaaS model. There are three main contributions of this paper: (1) enterprises can develop their own cloud-based logistic management information systems based on the approach proposed in this paper; (2) a case study based on literature reviews with experimental results is proposed to verify that the system performance is remarkable; (3) challenges encountered and feedback collected from T Company in the case study are discussed in this paper for the purpose of enterprise deployment.

Highlights

  • For companies that have their own information technology (IT) departments, a common issue is that different production information can have different usages

  • The present study provides a design for a logistic cloud framework maturity level 3

  • After implementing the proposed framework with a prototype system developed in previous research by these authors, T Company provided feedback that indicated that the architecture has numerous advantages:

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Summary

Introduction

For companies that have their own information technology (IT) departments, a common issue is that different production information can have different usages. Companies that do not have their own IT departments must pay large maintenance fees for their production applications It has been very difficult, if not impossible, to create a connection between the business layer and the production layer at the bottom (shop floor) because they are mainly based on different interfaces and technologies [1]. Based on web service technology and service-oriented architecture (SOA), cloud systems can be designed and implemented in real process flow. SaaS maturity level 3 adds scalability through a multi-tier architecture that supports a load-balanced farm of identical application instances that run on a variable number of servers. After implementing the proposed framework with a prototype system developed in previous research by these authors, T Company provided feedback that indicated that the architecture has numerous advantages: Ease of installation and configuration.

Cloud Manufacturing
IoT Technologies Used for Logistic Systems
IoT-Based Framework for Logistic Operation Process
Location-Based Logistic Transportation
Design of Logistic Cloud Framework
Service-Accessing Platforms of Logistic Applications
Service Access Model of Logistic Applications
Equipment Performance Evaluation
Web Server Performance Evaluation
Deployment Challenges
Security Challenges
Staff Training Challenges
Business Process Challenges
Organizational Structure of Enterprises
Findings
Conclusions
Full Text
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