scholarly journals Study on Resource Configuration on Cloud Manufacturing

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Yanlong Cao ◽  
Zijian Wu ◽  
Qijian Zhao ◽  
Huiwen Yan ◽  
Jiangxin Yang
Keyword(s):  
Manufacturing Process ◽  
Cloud Manufacturing ◽  
Geometric Constraints ◽  
Configuration Model ◽  
Growing Up ◽  
Resource Configuration ◽  
Proposed Model ◽  
Manufacturing Platform ◽  
Numerical Case Study

The purpose of manufacturing is to realize the requirement of customer. In manufacturing process of cloud system, there exist a lot of resource services which have similar functional characteristics to realize the requirement. It makes the manufacturing process more diverse. To develop the quality and reduce cost, a resource configuration model on cloud-manufacturing platform is put forward in this paper. According to the generalized six-point location principle, a growth design from the requirement of customers to entities with geometric constraints is proposed. By the requirement growing up to product, a configuration process is used to match the entities with the instances which the resources in the database could supply. Different from most existing studies, this paper studies the tolerance design with multiple candidate resource suppliers on cloud manufacturing to make the market play a two-level game considering the benefit of customers and the profit of resources to give an optimal result. A numerical case study is used to illustrate the proposed model and configuration process. The performance and advantage of the proposed method are discussed at the end.

Hypergraph-Based Modeling of Manufacturing Services in Cloud Manufacturing

2017 ◽  
Author(s):  
Meng Yu ◽  
Wenjun Xu ◽  
Jiwei Hu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Product Life Cycle ◽  
Service Management ◽  
Job Shop ◽  
Cloud Manufacturing ◽  
Proposed Model ◽  
Manufacturing Resources ◽  
Resources And Capabilities ◽  
Level Process ◽  
Process Level

Cloud manufacturing (CMfg) aims to realize the full-scale sharing, free circulation and transaction, and on-demand use of various manufacturing resources and capabilities in the form of manufacturing services. During the whole product life-cycle, the number of manufacturing services is huge, and services are highly dynamic and changeful. Without the effective operation and technical support of manufacturing service management, the implementation and aim of CMfg could not be achieved. In this paper, a multi-layer model of manufacturing service is proposed for a job shop in cloud manufacturing, in order to solve the description problem of different manufacturing services from different level view, e.g. machine level, process level and shop level. Consequently, a hypergraph-based network model of manufacturing service is developed, so as to facilitate the management of different services during the whole production process in job shop. A case study and some applications of the proposed model for supporting the manufacturing services management to practical manufacturing system are studied, to demonstrate the feasibility and efficiency of such model.

Game theory–based multi-task scheduling in cloud manufacturing using an extended biogeography-based optimization algorithm

2019 ◽  
Vol 27 (4) ◽  
pp. 314-330 ◽  
Author(s):  
Jiuhong Xiao ◽  
Wenyu Zhang ◽  
Shuai Zhang ◽  
Xiaoyu Zhuang
Keyword(s):  
Game Theory ◽  
Task Scheduling ◽  
Optimization Algorithm ◽  
Cloud Manufacturing ◽  
Experimental Simulation ◽  
Scheduling Problem ◽  
Manufacturing Networks ◽  
Proposed Model ◽  
Customer Perspective ◽  
Manufacturing Platform

Cloud manufacturing is an emerging paradigm of global manufacturing networks. Through centralized management and operation of distributed manufacturing services, it can deal with different requirement tasks submitted by multiple customers in parallel. Therefore, the cloud manufacturing multi-task scheduling problem has attracted increasing attention from researchers. This article proposes a new cloud manufacturing multi-task scheduling model based on game theory from the customer perspective. The optimal result for a cloud manufacturing platform is derived from the Nash equilibrium point in the game. As the cloud manufacturing multi-task scheduling problem is known as an NP-hard combinatorial optimization problem, an extended biogeography-based optimization algorithm that embeds three improvements is presented to solve the corresponding model. Compared with the basic biogeography-based optimization algorithm, genetic algorithm, and particle swarm optimization, the experimental simulation results demonstrate that the extended biogeography-based optimization algorithm finds a better schedule for the proposed model. Its benefit is to provide each customer with reliable services that fulfill the demanded manufacturing tasks at reasonable cost and time.

A Product Configurator for Cloud Manufacturing

2013 ◽  
Author(s):  
Arthur L. K. Yip ◽  
Jonathan R. Corney ◽  
Ananda P. Jagadeesan ◽  
Yi Qin
Keyword(s):  
Production Systems ◽  
State Of The Art ◽  
Cloud Manufacturing ◽  
Product Configuration ◽  
Ongoing Research ◽  
Wide Range ◽  
Product Customization ◽  
Configuration Systems ◽  
Manufacturing Platform

Product configurators have become an important enabler for enterprises to achieve product customization in order to address individual customers’ requirements. Despite adoption across a wide range of application domains from automotive to consumer goods, even state-of-the-art product configuration systems are limited in their ability to quickly respond to changes in the production systems that deliver the goods specified. Enabled by the emerging paradigm of cloud manufacturing, the authors propose a “configurable configurator” that is automatically updated to reflect changes in the supply chain. The paper reports the ongoing research and development towards a dynamically generated system that supports product configuration, visualization and assessment from the cloud manufacturing concept of Manufacturing-as-a-Service (MaaS). In addition to outlining the architecture of such a system, an overview of its modules and integration to the cloud manufacturing platform is described. Lastly, the case study of a customizable façade module is presented with two different scenarios to demonstrate the prototype implementation and validate the proposed approach.

scholarly journals Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li
Keyword(s):  
Road Network ◽  
Road Networks ◽  
Sudden Onset ◽  
The Road ◽  
Bee Colony ◽  
Proposed Model ◽  
Effectiveness And Efficiency ◽  
In Transit ◽  
Emergency Supply

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

scholarly journals Growing up different in Neolithic China: A contextualised case study and differential diagnosis of a young adult with skeletal dysplasia

2020 ◽  
Vol 28 ◽  
pp. 6-19 ◽  
Author(s):  
Siân E. Halcrow ◽  
Melanie J. Miller ◽  
Anne Marie E. Snoddy ◽  
Wenquan Fan ◽  
Kate Pechenkina
Keyword(s):  
Differential Diagnosis ◽  
Young Adult ◽  
Skeletal Dysplasia ◽  
Growing Up

The Role of Constraints and Human Interaction in Evolving MEMS Designs: Microresonator Case Study

2004 ◽  
Author(s):  
Raffi Kamalian ◽  
Alice M. Agogino ◽  
Hideyuki Takagi
Keyword(s):  
Genetic Algorithms ◽  
Geometric Constraints ◽  
Human Interaction ◽  
Design System ◽  
Current State ◽  
Mems Resonator ◽  
Computer Aided ◽  
Generative Methods

In this paper we review the current state of automated MEMS synthesis with a focus on generative methods. We use the design of a MEMS resonator as a case study and explore the role that geometric constraints and human interaction play in a computer-aided MEMS design system based on genetic algorithms.

scholarly journals A New Approach to Inform Restoration and Management Decisions for Sustainable Apiculture

2021 ◽  
Vol 13 (11) ◽  
pp. 6109
Author(s):  
Joanne Lee Picknoll ◽  
Pieter Poot ◽  
Michael Renton
Keyword(s):  
Floral Resources ◽  
Pollination Services ◽  
New Approach ◽  
Honey Production ◽  
Proposed Model ◽  
Colony Loss ◽  
Supply Potential ◽  
Australian Case ◽  
Stocking Rates

Habitat loss has reduced the available resources for apiarists and is a key driver of poor colony health, colony loss, and reduced honey yields. The biggest challenge for apiarists in the future will be meeting increasing demands for pollination services, honey, and other bee products with limited resources. Targeted landscape restoration focusing on high-value or high-yielding forage could ensure adequate floral resources are available to sustain the growing industry. Tools are currently needed to evaluate the likely productivity of potential sites for restoration and inform decisions about plant selections and arrangements and hive stocking rates, movements, and placements. We propose a new approach for designing sites for apiculture, centred on a model of honey production that predicts how changes to plant and hive decisions affect the resource supply, potential for bees to collect resources, consumption of resources by the colonies, and subsequently, amount of honey that may be produced. The proposed model is discussed with reference to existing models, and data input requirements are discussed with reference to an Australian case study area. We conclude that no existing model exactly meets the requirements of our proposed approach, but components of several existing models could be combined to achieve these needs.

scholarly journals Waste reduction of polypropylene bag manufacturing process using Six Sigma DMAIC approach: A case study

2021 ◽  
Vol 8 (1) ◽  
pp. 1896419
Author(s):  
Muhammad Hamad Sajjad ◽  
Khawar Naeem ◽  
Muhammad Zubair ◽  
Qazi Muhammad Usman Jan ◽  
Sikandar Bilal Khattak ◽  
...  
Keyword(s):  
Six Sigma ◽  
Manufacturing Process ◽  
Waste Reduction

Process Signature Modeling for Tolerance Analysis

2010 ◽  
Vol 10 (2) ◽  
Author(s):  
R. Ascione ◽  
W. Polini ◽  
Q. Semeraro
Keyword(s):  
Concurrent Engineering ◽  
Manufacturing Process ◽  
Tolerance Analysis ◽  
Actual Surface ◽  
Contact Points ◽  
Geometric Tolerances ◽  
Systematic Pattern ◽  
Process Signature ◽  
Nominal Surface

Many well-known approaches exist in the literature for tolerance analysis. All the methods proposed in the literature consider the dimensional and the geometric tolerances applied to some critical points (contact points among profiles belonging to couples of parts) on the surface of the assembly components. These points are generally considered uncorrelated since the nominal surface is considered. Therefore, the methods proposed in the literature do not consider the actual surface due to a manufacturing process. Every manufacturing process leaves on the surface a signature, i.e., a systematic pattern that characterizes all the features machined with that process. The aim of the present work is to investigate the effects of considering the manufacturing signature in solving a tolerance stack-up function. A case study involving three parts has been defined and solved by means of a method of the literature, the variational method, with and without considering the correlation among the points of the same surface due to the manufacturing signature. This work represents a first step toward the integration of the design and the manufacturing in a concurrent engineering approach.

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