Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing

Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing

Xiaochun Sheng (Jiangsu University of Technology, School of Computer Engineering, Changzhou, China) and Kefeng Wang (Jiangsu University of Technology, School of Computer Engineering, Changzhou, China)
Copyright: © 2017 |Pages: 16
DOI: 10.4018/IJIIT.2017100104
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Abstract

The paper studies the cloud manufacturing service platform and mode in the coordination and optimization of large equipment complete service (LECS). A set of theory based system of coordination and optimization is systematically established to support and implement LECS' cloud manufacturing mode. The research results show that the collaborative logic framework proposed is of macro guidance significance; the composite synergy mechanism system designed realizes all-round cooperative target; the collaborative optimization model and algorithm established have validity and practicality through instance verification. It systematically realizes the collaborative management of resource choice and optimizing configuration, the plan and control in the process of service, and so on. It can ensure the stability of manufacturing resource service seamless, green, environmental protection, and high quality. It achieves optimization of the overall system coordination. The study also provides a theoretical basis and scientific method for large equipment enterprise from manufacturer to a service integrator transformation.
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Introduction

Product platform is a key theory in mass customization method, and it can satisfy diversely customer needs at high efficiency service and reduce enterprise product development costs. Enterprises have set up product platforms that only use internal resources to develop products. Single product platform can't deal with more complex customer demands because globalization market from relative stability changing into dynamic changeable and product diversity intensified and appear the demand of integrating internal and external resources manufacturing resources (Mell, 2009). So, it has to establish an open product platform system to support product platform collaborative development between and get resources transparently, realize the loose coupling cooperation between enterprises and task orientation resources dynamic reconfiguration (Foster, 2008; Silva, 2011).

Developed countries of the west have entered the era of service economy. The era of service economy accelerates socialized division of labour. Mutual service between enterprises is an important way to win the marketplace and strengthen the core competitive ability. At present, our country is the middle and later stages of industrialization, with fully developed in manufacturing industry (Liu, 2011).

We face the problem of shifting from a manufacturing economy to a service economy which developed countries of the west faced in the '80s. In order to solve this outstanding issue (Pandey, 2010), we put forward guidelines as “Drive the industrialization with the information-based industry, promote the information-based industry with the industrialization” at national level and “Manufacturing Information Engineering” at implementation level. The current manufacturing informatization has made certain achievements in the research and application of solving manufacturing problems in the field of digital, integrated, collaborative and networked. But to the further application and achieve remarkable economic benefits, there are some difficult to overcome in the aspect of operation mode and technology, especially in business model, resource sharing and security. However, in recent years, the development and commercial application of the new generation of information technology, for example cloud computing, Internet of Things and Big Data, provides reference business model and new technical support for the transformation and upgrading of manufacturing industry.

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