On Mapping Method In Product Family Improvement For Extended Customer Need

2012 ◽  
Vol 4 (3) ◽  
pp. 75-82
Author(s):  
Yanhong Qin ◽  
Shiqin Ye
Keyword(s):  
Product Family ◽  
Mapping Method ◽  
Customer Need

scholarly journals APPLICATION POSSIBILITIES OF DYNAMIC VALUE STREAM MAPPING IN PRODUCTION LOGISTICS

2021 ◽  
Vol 24 (1) ◽  
pp. 55-58
Author(s):  
Peter Tamas ◽  
Keyword(s):  
Production Systems ◽  
Product Family ◽  
Mapping Method ◽  
Value Stream Mapping ◽  
Production Logistics ◽  
Logistics Systems ◽  
Value Stream ◽  
Flexible Production Systems ◽  
Static Version ◽  
Plant Simulation

An increase in the number of product types required by customers results in an increase in the complexity of logistics systems. This finding is particularly characteristic of production logistics systems, where the use of flexible production systems is becoming increasingly important. One of the defining tools for the development of these processes is the value process mapping method, a static version of which suitable for the simultaneous examination of a product family has become widespread in corporate practice. The paper presents the method of dynamic value stream mapping, which is also suitable for the examination of complex logistics systems, exploring its steps and the possibilities of its application in production logistics. An example prepared using the VSM module of the Plant Simulation framework is also presented to illustrate the application of the method.

Customer Need Driven Function-Behavior Platform Formation

2005 ◽  
Author(s):  
Rupesh Kumar ◽  
Venkat Allada
Keyword(s):  
Product Family ◽  
Planning Horizon ◽  
Physical Structure ◽  
Point Of View ◽  
Product Platform ◽  
Functional Requirements ◽  
Product Platforms ◽  
Computer Mouse ◽  
Mapping Process ◽  
Customer Need

Product platform formation has long been considered as an effective method to meet challenges set forth by mass customization. To cater to the changes in customer need driven functional requirements and technological advancements, product platforms have to be robust for a given planning horizon from the manufacturer’s point of view. To date, most of the product platform research is directed towards developing approaches that maximize the usage of common physical structures (such as sub-assemblies and components), amongst product variants. We argue that there is a need to start thinking about platforms at a higher level of abstraction than just at the physical structure level because after all, the physical structures are the end result of the mapping process that starts with the customer needs, cascades to the functional requirements and the behaviors (aka working principle/behavior) that will be used to realize the functions. The Function-Behavior-Structure approach discussed by Gero and Kannengiesser (2003) deals with such an approach. In this paper, we present a methodology called the Function-Behavior Ant Colony Optimization (FB-ACO), to determine a higher abstract level platform at the FB level. The proposed approach can be used to provide critical decisions related to the planning of the advent and egress of a product or the use of a behavior, configuration of the function-behavior platform and the number of such platforms to be considered at a particular time. The FB platform can then be used to develop the detailed design for the family of products under consideration. We demonstrate our proposed approach using the example of a computer mouse product family.

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

Discourse Mapping

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Joanna BOEHNERT
Keyword(s):  
Environmental Politics ◽  
Technology Policy ◽  
Policy Research ◽  
Mapping Method ◽  
Science And Technology Policy ◽  
Design Practice ◽  
Analysis Method ◽  
Environmental Sciences ◽  
University Of Colorado ◽  
The University

This workshop will create a space for discussion on environmental politics and its impact on design for sustainable transitions. It will help participants identify different sustainability discourses; create a space for reflection on how these discourses influence design practice; and consider the environmental and social implications of different discourses. The workshop will do this work by encouraging knowledge sharing, reflection and interpretative mapping in a participatory space where individuals will create their own discourse maps. This work is informed by my research “Mapping Climate Communication” conducted at the Centre for Science and Technology Policy Research (CSTPR) in the Cooperative Institute for Environmental Sciences (CIRES), the University of Colorado, Boulder. With this research project I developed a discourse mapping method based on the discourse analysis method of political scientists and sustainability scholars. Using my own work as an example, I will facilitate a process that will enable participants to create new discourse maps reflecting their own ideas and agendas.

The Model for Calculation the Hall Effect Parameter

2004 ◽  
Vol 9 (2) ◽  
pp. 129-138
Author(s):  
J. Kleiza ◽  
V. Kleiza
Keyword(s):  
Magnetic Field ◽  
Field Effect ◽  
Magnetic Field Effect ◽  
Mapping Method ◽  
Sample Thickness ◽  
System Of Nonlinear Equations ◽  
Specific Resistivity ◽  
Conformal Mapping Method ◽  
Effect Parameter ◽  
The Magnetic Field

A method for calculating the values of specific resistivity ρ as well as the product µHB of the Hall mobility and magnetic induction on a conductive sample of an arbitrary geometric configuration with two arbitrary fitted current electrodes of nonzero length and has been proposed an grounded. During the experiment, under the constant value U of voltage and in the absence of the magnetic field effect (B = 0) on the sample, the current intensities I(0), IE(0) are measured as well as the mentioned parameters under the effect of magnetic fields B1, B2 (B1 ≠ B2), i.e.: IE(β(i)), I(β(i)), i = 1, 2. It has been proved that under the constant difference of potentials U and sample thickness d, the parameters I(0), IE(0) and IE(β(i)), I(β(i)), i = 1, 2 uniquely determines the values of the product µHB and specific resistivity ρ of the sample. Basing on the conformal mapping method and Hall’s tensor properties, a relation (a system of nonlinear equations) between the above mentioned quantities has been found.

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