Product Design Selection Under Uncertainty and With Competitive Advantage

Author(s):  
Hui Li ◽  
Shapour Azarm

Abstract This paper presents an approach wherein product design is viewed as a selection process with two main stages: design alternative generation and design alternative evaluation. The focus of this paper is mainly on a design alternative evaluation model in that designer’s preferences, customers’ preferences, and market competition are accounted for in order to select the best possible design. In the model, uncertainties in the product design life, market size and its yearly change, cost and its yearly change, price, and discount rate are considered. Product design selection of a cordless screwdriver is used as a demonstration example. However, the emphasis in the example is on the approach, and not on the details per se.

1999 ◽  
Vol 122 (4) ◽  
pp. 411-418 ◽  
Author(s):  
H. Li ◽  
S. Azarm

This paper presents an approach wherein product design is viewed as a selection process with two main stages: design alternative generation and design alternative evaluation. The focus of this paper is mainly on a design alternative evaluation model in that designer’s preferences, customers’ preferences, and market competition are accounted for in order to select the best possible design. In the model, uncertainties in the product design life, market size and its yearly change, cost and its yearly change, price, and discount rate are considered. Product design selection of a cordless screwdriver is used as a demonstration example. However, the emphasis in the example is on the approach, and not on the details per se. [S1050-0472(00)01504-X]


Author(s):  
Hui Li ◽  
Shapour Azarm

Abstract An approach for product line design is presented in which a line of products is selected for launching into the market. In the approach, the product line design is viewed as a selection process with two main stages: design alternative generation and design alternative evaluation. The focus of this paper is on the design alternative evaluation stage. Issues considered include a large variety of customer preferences, market competitions, multiple business goals, uncertainty, and commonality among the alternatives in a product line. Because of the combinatorial nature of the problem, genetic algorithms are used in the design evaluation stage. Product line design selection of a cordless screwdriver is used as a demonstration example. However, the emphasis in the example is on the approach and not in the details per se.


2020 ◽  
Vol 54 (s1) ◽  
pp. 6-14
Author(s):  
Jami McLaren

Abstract Selection of an appropriate sterilization modality requires an understanding of certain key aspects of the product under consideration. Primary aspects to be considered include understanding of the product's intended use and details of the product design. This article reviews these primary considerations for sterilization modality selection and demonstrates the sterilization modality selection process through several example case studies.


Author(s):  
S. Kota ◽  
R. B. Gudapati

Abstract Often a simple mechanism to trace a desired path is sought. Coupler curves of linkages are generally difficult to determine, especially in the case that a certain shape or a type of curve is required for a particular application. Precision point techniques do not guarantee that the desired path will be generated. The design methodology presented in this paper is an indirect synthesis approach to design four-bar linkages that trace (approximately) a given desired path. Simple and yet extremely useful design charts for the initial selection of four-bar linkage candidate designs are presented in this paper. This is based on our philosophy that an arbitrary path (desired) can be viewed as an approximation to a known symmetrical path. Four-bar linkages that generate symmetrical paths are easier to design and exhibit a definite pattern of changes in their shape as the linkage parameters are varied. The first step in automating the design-selection process requires a satisfactory means to quantitatively compare the desired with the known (symmetrical) coupler curves. This paper addresses various issues involved in the comparison of two arbitrary curves. Based on curve parametrization, an effective algorithm for quantitative shape evaluation of arbitrary curves is developed. Finally, the design charts and design examples are presented.


Author(s):  
B. Besharati ◽  
S. Azarm ◽  
A. Farhang-Mehr

The ability to select a design alternative, from a set of feasible alternatives, that is likely to meet customers’ and designer’s preferences and also account for uncertainties is vital to the success of a product design process. This paper presents a new metric, a Customer-based Expected Utility (CEU) metric, for product design selection that accounts for a range of attribute levels (i.e., the customer range) within which customers make purchase decisions. The metric also accounts for designer’s preferences and uncertainty in achieving a desired attribute level (or a combination of attribute levels). The application of the CEU metric is demonstrated by rank-ordering a set of design alternatives for a cordless power tool. Using this metric, design alternatives that fall outside the customer range will yield a relatively low CEU value, while among those that fall in the customer range, the alternatives with a higher value of the designer’s utility yield a higher value of the CEU metric.


2005 ◽  
Vol 128 (5) ◽  
pp. 1027-1037 ◽  
Author(s):  
A. K. Maddulapalli ◽  
S. Azarm

An important aspect of engineering product design selection is the inevitable presence of variability in the selection process. There are mainly two types of variability: variability in the preferences of the decision maker (DM) and variability in attribute levels of the design alternatives. We address both kinds of variability in this paper. We first present a method for selection with preference variability alone. Our method is interactive and iterative and assumes only that the preferences of the DM reflect an implicit value function that is differentiable, quasi-concave and non-decreasing with respect to attributes. The DM states his/her preferences with a range (due to the variability) for marginal rate of substitution (MRS) between attributes at a series of trial designs. The method uses the range of MRS preferences to eliminate “dominated designs” and then to find a set of “potentially optimal designs.” We present a payload design selection example to demonstrate and verify our method. Finally, we extend our method for selection with preference variability to the case where the attribute levels of design alternatives also have variability. We assume that the variability in attribute levels can be quantified with a range of attribute levels.


1992 ◽  
Vol 114 (3) ◽  
pp. 359-367 ◽  
Author(s):  
S. Kota

Often a simple (four-bar linkage) mechanism to trace a desired path is sought. Dimensions of linkages to trace a specified coupler curve exactly are difficult to determine. Precision point techniques do not guarantee that the desired path will be generated. The methodology presented in this paper is based on indirect synthesis approach to select four-bar linkages that trace a given desired path. A practical, computer-aided three-dimensional design chart for the selection of four-bar linkage candidate designs that trace symmetrical paths is presented. It is based on hypothesis that any arbitrary path can be approximated by a symmetrical path at least for the purpose of choosing an initial design. Four-bar linkages that generate symmetrical paths are easier to design and exhibit a definite pattern of changes in their shape as the linkage parameters are varied. General design categories and the corresponding solution subspaces in the 3-D design map are identified to aid in the selection of candidate designs. The automation of the design-selection process requires a satisfactory means to quantitatively compare the “desired” and the “known” coupler curves. This paper addresses the issues involved in quantitative comparison of two arbitrary curves using parameterization and shape evaluation. A design example of automated selection of mechanism designs is also presented.


Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid


2021 ◽  
Vol 174 (1) ◽  
Author(s):  
Amirlan Seksenbayev

AbstractWe study two closely related problems in the online selection of increasing subsequence. In the first problem, introduced by Samuels and Steele (Ann. Probab. 9(6):937–947, 1981), the objective is to maximise the length of a subsequence selected by a nonanticipating strategy from a random sample of given size $n$ n . In the dual problem, recently studied by Arlotto et al. (Random Struct. Algorithms 49:235–252, 2016), the objective is to minimise the expected time needed to choose an increasing subsequence of given length $k$ k from a sequence of infinite length. Developing a method based on the monotonicity of the dynamic programming equation, we derive the two-term asymptotic expansions for the optimal values, with $O(1)$ O ( 1 ) remainder in the first problem and $O(k)$ O ( k ) in the second. Settling a conjecture in Arlotto et al. (Random Struct. Algorithms 52:41–53, 2018), we also design selection strategies to achieve optimality within these bounds, that are, in a sense, best possible.


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