Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method

Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method

Rui-Yang Chen (Department of Business Administration, Aletheia University, New Taipei City, Taiwan)
Copyright: © 2015 |Pages: 20
DOI: 10.4018/IJBAN.2015070104
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Abstract

From green supply chain perspective of the internet of things, actualization of the IOT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM.
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1. Introduction

The interrelated networks of green supply chain consist of manufacturers, suppliers, distributors, wholesalers, retailers, recycler and consumer. During the green life cycle of any parts, suppliers of material as well as manufacturers of intermediate/finished goods, distributors, retailer, recyclers and consumers are interconnected due to exchange of product and data. Integration of green supply chain is not easily achieved because different companies may have different or conflicting targets. Thus, supply chain partners must be coordinated and cooperate to achieve a common target. This integration improves the inventory visibility of the green supply chain. A model has been designed based on inventory management aspects of the project from a sustainability perspective. It is important that sustainable behavior in business has increasing its impact on supply chain management (SCM). So, it might also serve as platform for pervasive presence and ubiquitous computing, enabling smart environment to create industry-driven green supply chain operation. Green supply chain initiatives should provide operation value and environmental benefits. From the perspective of green supply chain operation, inter-organizational exchange of information about physical and virtual objects with unique ID will link the real world with the digital world seamlessly. They are able to active and interact services for green supply chain operations in the associated information platform (CERP-IoT, 2009). With the advent of information system and related emerging technology, such as IoT (Internet of Things) and cloudy computing, a new generation of platform called intelligent industry resource planning (IRP) is available in the market. The internet of things attributed to the Auto-ID Labs (2013) develops novel technology that refers to the possibility of endowing physical objects with the ability to identify and interact with each other to reach cooperation goals (Giusto, 2010). As a consequence of supply chain integration, software system should propose innovative architecture fulfilling the link related to the nature of the IoT. Cheng et al. (2012) presented a knowledge-based customization system for supply chain integration which captures and recognizes the complexity of network analysis.

According to the above mentioned, modeling the green supply chain integration of complex systems can be hard in a computational utilization and inventory management of relationships exists. So, two important problems that need to be solved for IoT-enabled information systems are the lack of stable integrated architecture and autonomous mechanism. To the best of our research, very few presented approaches focus on the integration of IoT-enabled and green supply chain. Furthermore, few papers address the complex relationships of green supply chains and how these relationships can affect both environmental and inventory management outcomes using IoT-enabled system.

The approaches of the two problems are described as following:

1.1. First Problem

The stable architecture to deploy green supply chain application is a heterogeneous collection software system of ubiquitous devices. It has intrinsic status that makes it very cumbersome to development platform for green supply chain application where arbitrary devices and process interact. In the first problem, we propose constructing the IoT-enabled information system architecture for green inventory management in supply chain.

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