Defining Specifications for Custom Products: A Bayesian Probabilistic Approach

Author(s):  
Yue Wang ◽  
Mitchell M. Tseng

Defining product specifications to meet customers’ preferences is a crucial and challenging task for custom product design. An efficient specification defining method should take both product structures and customers’ preferences into consideration. Because customers’ preferences depend largely on factors such as product attributes and external parameters, conventional specification definition methods in deterministic form fall short of providing adequate approaches to represent and manipulate the probabilistic nature of customers’ preferences. They often suffer from low efficiency, lack of intelligence to adapt to different customers’ inputs, being unable to provide guidance to users who have little domain knowledge, etc. These technical issues have hindered the development of custom product design and mass customization. To solve these issues, Bayesian network is deployed to represent the product physical structure and the likelihood of the customers’ potential preferences among components. The specification defining is modeled as an uncertainty elimination process and an information theory based algorithm is applied to obtain customers’ target product configuration. The idea is to sequentially select the most relevant component for a customer to specify from the remaining components pool based on his previous step’s specification. An inference module is also proposed which can recommend possible product configurations to help customers find what they want quickly. Thus a customized 1-to-1 specification defining procedure is provided and the final configuration can converge to a customer’s target with fewer interactions between the customer and product design team. This paper explores the framework of product specification defining in uncertain domain and offers a new angle to advance design for mass customization (DfMC), and possibly the Design for Manufacturing in general.

Author(s):  
Paula M. Crnkovic ◽  
Ivonete A´vila ◽  
Fernando E. Milioli ◽  
Josmar D. Pagliuso

Sulfur oxides are present in the gases from burning coals and these pollutants are harmful to the environment. Sulfur removal in the fluidized bed reactor applying limestones is an efficient technology. During sulfation, the formation of CaSO4 leads to the partial or complete blockade of the particle interior, resulting in a low efficiency of the use of limestones. As the desulphurization capacities of the sorbents are strongly affected by thermal condition, this paper focuses on the study of the development of the particles’ physical structure before and during sulfation reaction. The experiments were performed for two Brazilian limestones, a calcite and a dolomite. The particles were well characterized by BET analysis and mercury porosimetry and the behavior of the sorbents was observed through thermogravimetry analysis (TGA). The morphological analysis of the surface of both raw calcite and dolomite particles indicated that dolomite was a less compact sorbent. However, after calcination and sulfation, the change in pore and voids distributions showed that for dolomite both swelling and partial pore filling could take place, whereas for calcite the spaces between particles were maintained constant, possibly owing to a less intense swelling. In 30 min of reaction under air atmosphere TGA measurements provided conversions of 0.40 ±0.061 for the calcite, and 0.55 ±0.089 for the dolomite. The results showed strong dependence on meso and macropores region with high conversion of the sorbents. The reactivity differences between calcite and dolomite can also be explained based on the swelling of the particles.


Author(s):  
Fengyu Liu ◽  
Li Chen ◽  
Jian Yao ◽  
Chunhao Lee ◽  
Chi-kuan Kao ◽  
...  

Clutch-to-clutch shift technology is a key enabler for fast and smooth gear shift process for multi gear transmissions. However, conventional hydraulic actuation systems for clutches have drawbacks of low efficiency, oil leakage and inadequate robustness. Electromechanical devices offer potential alternative actuators. In this paper, a novel motor driven wedge-based clutch actuator, featuring self-reinforcement, is proposed. The design concept and physical structure are thoroughly described. Dynamic models for the actuation system and vehicle powertrain are validated by experiments. Upshift and downshift processes at different engine throttle openings, clutch clearances and friction coefficients are discussed. The results show that, the self-reinforcement ratio is tested as 9.6; at the same time, the shift quality is comparable to that of the conventional hydraulic actuated clutch in automatic transmissions in terms of the shift duration (about 1 s) and vehicle jerk (<10 m/s3). Taking advantage of fast response of the actuation DC motor, the wedge-based actuator is robust dealing with uncertain clutch clearance and friction coefficient. Therefore, the wedge-based clutch actuator has potential to provide acceptable performance for clutch-to-clutch shift.


2011 ◽  
Vol 189-193 ◽  
pp. 47-52
Author(s):  
Yan Ting Ni ◽  
Jing Min Li ◽  
Yi Wang ◽  
Jin Yao

In terms of transforming supply chain into integrated value systems, the benefits of Early Supplier Involvement (ESI) in product development have been widely accepted. As far as variety management and online configuration are concerned, the difficulties of ESI in online mass customization manifest themselves through two main aspects: (1) Support the seamless information integration with respect to its high variety and large volume not only among internal functions but also with external suppliers; (2) Support real-time online configuration for product configuration generation and optimization based on customer requirements and supplier capabilities. Accordingly, this work proposes two potential solutions. PFA-based integrated information model is established to synchronize the PFA generic structure and supplier product information.


Author(s):  
Zulfiqar Ali-Qureshi

Unique characteristic of system of system based product life cycle challenges evolves different level of systems. This means the product design system and process level system consideration are very important besides the system level issues for product and process development which are part of systems of system. These core issues include the physical elements, assembly process and its related cognitive elements of component to that particular assembly and its process at Sub system level which are fundamental of System of system in holistic perspective of new product and process design. Any system level change or variety affects the next adjacent system in the same product as a member of same family of a system of system. In this paper the aspect of Hybrid electric car battery has been explored to reduce the system of system level sociotecnical complexity in product design. In this context, the affect of changeability in the assembly system level has been explored and DFA analysis and the complexity Index of the product at physical structure, assembly process and cognitive system level been discussed to draw analogy for making an understanding of similar nature of the system in platform based product and process family development.


2012 ◽  
Vol 532-533 ◽  
pp. 1196-1200
Author(s):  
Jun Hua Che ◽  
Bin Ma ◽  
Qian Zeng

The greatest feature of cloud-based mass customization service platform is massive parallel processing of information. So the good or bad of the parallel processing determines the precision and efficiency of cloud-based mass customization service platform. This paper brings up the method of parallel processing of configuration design for the cloud-based mass customization service platform. The parallel processing of product configuration is performed by ABC analysis, parallel BOM and product family. Finally this research has been applied for customization product: Gearbox, and has improved the efficiency of parallel processing for the cloud-based mass customization service platform.


Author(s):  
KARSTEN SCHIERHOLT

Product configuration is the process of generating a product variant from a previously defined product family model and additional product specifications for this variant. The process of finding and sequencing the relevant operations for manufacturing this product is called process planning. This article combines the two principles in a new concept of process configuration that solves the process planning task using product configuration methods. The second section develops characteristics for two process configuration concepts, the interactive process configuration and the automation-based process configuration. Following an overview of the implementation of a process configuration system, the results of a case study in the aluminum rolling industry are presented. The main benefits of the process configuration concept are observed in a reduced knowledge-maintenance effort and in increased problem-solving speed.


2009 ◽  
Vol 69-70 ◽  
pp. 535-539
Author(s):  
Cong Da Lu ◽  
X.H. Chen ◽  
Shao Fei Jiang ◽  
Guo Zhong Chai

For the successful realization of product configuration design (PCD) in the condition of mass customization mode, the module encoding methods are studied. By analyzing the product structure model and the process of computer-aided PCD, all related information which is required for the module is decided. This paper proposes a scientific module encoding method suitable for PCD. It describes the geometric features of the modules, the interface relationships and the affiliations between modules. Further more, it introduces additional attribute codes used to evaluate product configuration. By this way the product information can be fully expressed in order to improve the efficiency of PCD.


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