Collaborative Production Planning with Order Splitting in Cloud Manufacturing Platform

2018 ◽  
Author(s):  
Jing Wang ◽  
Kailing Pan ◽  
Yucheng Guo
Keyword(s):  
Production Planning ◽  
Cloud Manufacturing ◽  
Manufacturing Platform

scholarly journals Multiobjective Optimization Model of Production Planning in Cloud Manufacturing Based on TOPSIS Method with Combined Weights

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Zhiru Li ◽  
Wei Xu ◽  
Huibin Shi ◽  
Qingshan Zhang ◽  
Fengyi He
Keyword(s):  
Multiobjective Optimization ◽  
Production Planning ◽  
Mass Customization ◽  
Evaluation Model ◽  
Cloud Manufacturing ◽  
Production Plan ◽  
Topsis Method ◽  
Nsga Ii ◽  
Optimal Production ◽  
Planning Scheme

Combined with the research of mass customization and cloud manufacturing mode, this paper discussed the production planning of mass customization enterprises in the context of cloud manufacturing in detail, analyzed the attribute index of manufacturing resource combination, and given a system considering the characteristics of batch production in mass customization and the decentralization of manufacturing resources in cloud manufacturing environment. Then, a multiobjective optimization model has been constructed according to the product delivery date, product cost, and product quality that customers care most about. The Pareto solution set of production plan has been obtained by using NSGA-II algorithm. This paper established a six-tier attribute index system evaluation model for the optimization of production planning scheme set of mass customization enterprises in cloud manufacturing environment. The weight coefficients of attribute indexes were calculated by combining subjective and objective weights with analytic hierarchy process (AHP) and entropy weight method. Finally, the combined weights calculated were applied to the improved TOPSIS method, and the optimal production planning scheme has been obtained by ranking. This paper validated the effectiveness and feasibility of the multiobjective model and NSGA-II algorithm by the example of company A. The Pareto effective solution has been obtained by solving the model. Then the production plan set has been sorted synthetically according to the comprehensive evaluation model, and the optimal production plan has been obtained.

Cloud Manufacturing Resource Management Based on Metadata

2015 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang
Keyword(s):  
Resource Management ◽  
Cloud Manufacturing ◽  
State Monitoring ◽  
Knowledge Resources ◽  
Centralized Management ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Management Approaches

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.

Study of Classification and Modeling of Virtual Resources in Cloud Manufacturing

2011 ◽  
Vol 121-126 ◽  
pp. 2274-2280 ◽  
Author(s):  
Chun Sheng Hu ◽  
Cheng Dong Xu ◽  
Xiao Bo Cao ◽  
Ju Chuan Fu
Keyword(s):  
Cloud Computing ◽  
Task Assignment ◽  
Cloud Manufacturing ◽  
Modeling Process ◽  
Rough Model ◽  
Manufacturing Platform ◽  
Virtual Resources ◽  
Manufacturing Mode ◽  
Li Bo

Based on the concept of Cloud Computing, Cloud Manufacturing which refers to a new networked manufacturing mode is proposed by LI Bo-hu. In this new mode, virtual resources are organized to meet the requirements of various manufacturing services for users over network and Cloud Manufacturing platform. This paper focuses on the virtualization of resources and analyses the factors which affect the classification of virtual resources in Cloud Manufacturing first, and a conceptual classification is given. Then some factors affect the result of task assignment are introduced, and a simple example shows the effect of these factors to task assignment. Based on these factors which include quantitative, human activity, logistics and granularity, a modeling process and a rough model of virtual resource are built.

Enterprises in Cloud Manufacturing: A Preliminary Exploration

2017 ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu ◽  
Ananth Srinivasan ◽  
Lin Zhang
Keyword(s):  
Enterprise Architecture ◽  
Cloud Manufacturing ◽  
Enterprise Modeling ◽  
Cloud Infrastructure ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Manufacturing Enterprises ◽  
Critical Issues ◽  
Manufacturing Resources ◽  
Manufacturing Platform

Cloud manufacturing is a new manufacturing paradigm in which manufacturing resources and capabilities offered by different enterprises are provided as cloud-based services over the Internet. In addition to the cloud manufacturing platform, enterprises as resource providers are also essential part of a cloud manufacturing system as customer orders that are submitted to the cloud platform will ultimately need to be dispatched to enterprises’ production sites for execution. So far, however, issues concerning enterprises in cloud manufacturing has attracted little attention of researchers, and the most frequently mentioned issue in existing research that are concerned with enterprises is how to connect enterprises’ resources to the cloud infrastructure. This, to a large extent, hinders the development and implementation of cloud manufacturing as the lack of research on enterprises fails to uncover the requirements for enterprises in cloud manufacturing (i.e. Cloud Manufacturing Enterprises, CMEs), and thus enterprises have no reference for evaluating the changes that need to be made to adopt this new manufacturing paradigm. This paper focuses on this important issue and conducts a preliminary exploration on CMEs. We first analyze the requirements for CMEs, and then discuss some critical issues with CMEs in detail, including enterprise information systems, enterprise architecture, and enterprise modeling.

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