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Ewa Ziemba - Information Technology for Management: New Ideas and Real Solutions: 14th Conference, AITM 2016, and 11th Conference, ISM 2016, held as Part of FedCSIS, Gdansk, Poland, September 11-14, 2016, Revised

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Information Technology for Management: New Ideas and Real Solutions: 14th Conference, AITM 2016, and 11th Conference, ISM 2016, held as Part of FedCSIS, Gdansk, Poland, September 11-14, 2016, Revised
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Information Technology and Systems for Knowledge Management

Springer International Publishing AG 2017

Ewa Ziemba (ed.) Information Technology for Management: New Ideas and Real Solutions Lecture Notes in Business Information Processing 10.1007/978-3-319-53076-5_1

Towards Context-Aware Supervision for Logistics Asset Management: Concept Design and System Implementation

Fan Feng 1

(1)

Transport Engineering and Logistics, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands

Fan Feng (Corresponding author)

Email:

Yusong Pang

Email:

Gabriel Lodewijks

Email:

Abstract

Innovations of information and communication technology (ICT) open plenty opportunities to promote internal operation efficiency and external service level in logistics. As current logistics developments tend to be more complex in operation and large in scale, recent practices start to pay more attentions on improving asset (e.g. equipment and infrastructure) management performance with new ICT development. One of the primary concern is to improve system robustness and reliability. It not only requires the supervision system be capable of diagnosing the condition of the system, but also proficient to find the intrinsic relationship between different conditions and resources thus lead to an integrated decision making process. Moreover, recent ICT innovations, such as WSN and IOT, could record and deliver system descriptors (physical measurements, virtual resources, operational configurations) in real time. Such large-stream and heterogeneous data requires an integrated framework to process and management. To address such challenges, in this paper, a novel concept of context-aware supervision is proposed. An intelligent system with integration of semantic web and agent technology is developed, which aims at providing condition-monitoring and maintenance decisions to relevant user. A generic ontology-agent based framework will be illustrated. The developed system will be applied for the supervision of a large-scale material handling system-belt conveying system as a proof-of-concept.

Keywords

Logistics asset management Context-awareness Ontology-agent integration System supervision

Introduction

As the scale of transport and logistics system tremendously expanded, the attention of researchers and engineers have been shifted from improving operational efficiency towards enhancing system reliability. Takata [] revealed this paradigm shift by demonstrating that the ultimate objective for a manufacturing is not only to produce products in an efficient way but also to provide the functions needed by society in a sustainable and reliable way. It is well known that operations of large logistics infrastructures are heavily rely on reliable and efficient equipment, such as container transportation, production assembling line and etc. And such equipment, like automated assembling line machinery, AGV and belt conveying system, are normally have complex structures and massive capital investment. If a malfunction of single component or process has not been detected and corrected timely, it could lead to an expensive downtime and furthermore impose a great impact on the entire logistic activities. Consequently, a system with decision support becomes an essential element to provide relevant users a consistent understanding regards the system status and enabling an effective planning and execution of maintenance.

To implement an efficient supervision system, ICT is seen as a key enabler. Indeed, the ICT has been widely used for assisting information intensive tasks in logistics such as resource planning, order processing, crew scheduling and so on []. With respect to asset management, it demands an efficient supervision system to delivering right information (e.g. system condition, maintenance decisions) to right person (inspector, technical engineer) at right time to right place. Specifically, how to determine the rightness with respect to fault condition identification, information integration, information presentation and information delivering becomes critical. Several challenges are summarized as follows:

Heterogeneity: The heterogeneity is defined as system entities have different types of data model, properties, operation mechanisms and even different hardware and operating system []. As for TEL management especially for asset management and supervision, different data resources, operational information, past experiences and knowledges are characterized as heterogeneous resource, thus impose difficulties in integration.
Interoperability: With respect to interoperability, three perspectives can be identified []. (2) system level: interconnection between independent systems. (3) data level: consider the data properties include data format, data availability, data representation and semantic meanings. With respect to asset supervision, the interoperability challenges are inevitably presented at all three levels.
Integrated decision making: Logistics asset normally depicted as large-scale and complex equipment. If a malfunction of single component or process has not been detected and corrected timely, it could lead to an expensive downtime and furthermore impose a great impact on the entire logistic activities. Consequently, a system with decision support becomes an essential element to provide relevant users a consistent understanding regards the system status and enabling an effective planning and execution of maintenance, such functionality could be referred as integrated decision making.

To confront with above mentioned challenges, the concept of e-maintenance which utilizes ICT technology to implement a web-based monitor system is suggested [] proposed a context-awareness system for asset management based on mobile and cloud technology. Inspired by the concept of context-aware monitoring, in this paper, the concept of context-aware supervision will be initiated.

The works presented in this paper is a continues work with respect to [], the concept of CASS is briefly introduced. In this paper, we elaborate the detailed implementation of the CASS. The purpose of CASS will be further motivated. The developed system will be applied to assist the practical maintenance tasks for a large-scale belt conveyor system. Moreover, the software packages used to system development will be specifically explained.

The remaining part of the paper is organized as follows: Sect..

The Concept of Context-Aware Supervision

The definition of context is given by [] and so on. It is noted that the mentioned CAS are represented with a layered framework which is generally composed of sensor layer for data acquisition, data layer for storage, processing layer for context modelling and application layer for context delivery and representation. The ultimate goal is to deliver right information with right format to right user in right time.

In this research, we focus on investigating the potential of applying CAS for asset supervision service. In essence, the supervision services include system monitoring, failure/abnormality diagnosis/prognosis and maintenance planning. Apart of being context-aware of delivering meaningful information to user, it also requires a transparent flow from data to supervision method. The objective of a supervision system is to deliver accurate and timely information regards system conditions and propose effective maintenance actions to ensure reliability and availability of the system. Its success relies on integrating different diagnosis/prognosis methods and such methods most often have certain scope of applicability and input context. As such, it put additional requirements on CAS to systematically integrate and manage system supervision processes. To integrate CAS for system supervision and fulfil additional requirements, a novel concept of Context - aware supervision is initiated as:

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