Lineup Design Method for Intermediate Product Family by Monotonicity-Guided Optimization of Nested Mini-Max Problem

2021 ◽  
Author(s):  
Kikuo Fujita ◽  
Naoki Ono ◽  
Yui Mitsuhashi ◽  
Yutaka Nomaguchi
Author(s):  
Kikuo Fujita ◽  
Naoki Ono ◽  
Yui Mitsuhashi ◽  
Yutaka Nomaguchi

Abstract As a product has become complicated, and its requirements have been diversified, the simultaneous and integrative design of a series of products has become so important. However, the contents of design activities have become complex across product variety and supply chain. This paper views such a situation through a chain of parts, intermediate products, and final products, and focuses on the lineup design problem of an intermediate product. The lineup design means here to secure the worst-case performance of intermediate products across a range of specifications. The problem is formulated as a mathematical problem to maximize the worst-case efficiency, i.e., the minimum efficiency of products across the range by arranging commonalization strategy, segmentation of the range, and original design variables. This paper proposes a two-phase approach, designing a framework, and optimizing contents under the framework. The latter phase is formulated as a nested mini-max optimization problem. An effective and efficient optimization scheme is configured with employing monotonicity analysis. Finally, an application to universal motors is demonstrated for ascertaining the validity and promises of the proposed design method.


2013 ◽  
Vol 475-476 ◽  
pp. 1402-1405
Author(s):  
Xian Fu Cheng ◽  
Qi Hang Zhu

A new design method for product family was presented based on adaptable product platform. Firstly, customer demands were analyzed for bridge crane. Secondly, axiomatic design was utilized as framework to zigzaging mapping between functional requirements and design parameters, and design matrix was established. Then the sensitivity analysis among design parameters and between design parameters and functional requirements was done. The design relation matrix was established and relation degree among design parameters was calculated. Based on above analysis, the platform parameters were identified.


Author(s):  
Seung Ki Moon ◽  
Jun Shu ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara

Products are often paired with additional services to satisfy customers’ needs, differentiate product offerings, and remain competitive in today’s market. This research is motivated by the need to provide guidelines and methods to support the design of such services, addressing the lack of knowledge on customized service design as well as methods for designing and evaluating services for mass customization. We extend concepts from module-based product family design to create a method for designing families of services. In particular, we introduce a strategic platform design method for developing customized families of services using game theory to model situations involving dynamic market environments. A module-based service model is proposed to facilitate customized service design and represent the relationships between functions and processes that constitute a service offering. A module selection problem for platform design is considered as a strategic module sharing problem under collaboration, and we use a coalitional game to model module sharing and decide which modules provide more benefit when in the platform based on marginal contribution of each module. To demonstrate implementation of the proposed method, we use a case study involving a family of banking services.


2018 ◽  
Vol 23 (20) ◽  
pp. 10509-10520 ◽  
Author(s):  
Wei Wei ◽  
Zhenyu Tian ◽  
Chong Peng ◽  
Ang Liu ◽  
Zhinan Zhang

Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams

Innovative companies that generate a variety of products and services for satisfying customers’ specific needs are invoking and increasing research on mass-customized products, but the majority of their efforts are still focused on general consumers who are without disabilities. This research is motivated by the need to provide a basis of universal design guidelines and methods, primarily because of a lack of knowledge on disabilities in product design as well as methods for designing and evaluating products for everyone. Product family design is a way to achieve cost-effective mass customization by allowing highly differentiated products to be developed from a common platform while targeting products to distinct market segments. By extending concepts from product family design and mass customization to universal design, we propose a method for developing a universal product family to generate economical feasible design concepts and evaluating design feasibility with respect to disabilities within dynamic market environments. We will model design strategies for a universal product family as a market economy where functional module configurations are generated through market segments based on a product platform. A coalitional game is employed to model module sharing situations regarding dynamic market environments and decides which functional modules provide more benefit when in the platform based on the marginal contribution of each module. To demonstrate implementation of the proposed method, we use a case study involving a family of mobile phones.


Author(s):  
Yutaka Nomaguchi ◽  
Daiki Osaki ◽  
Kikuo Fujita

Product family design generally aims at overhead reduction due to component commonality meeting various customer needs. Quantity discount is one of the most crucial factors to consider cost reduction effects. However, it also contains the risk of drastic profit decrease when a demand or supply capacity unexpectedly changes. This research aims at proposing an optimal design method of product family with assessment of robustness of expected profit. First, this paper discusses the structure of the optimal design problem of product family considering quantity discount in supply chain. The modeling of quantity discount faces a problem of discontinuous of design spaces. The discontinuity of a design space makes optimization more difficult. This research proposes a method to solve it with reasonable calculation cost by utilizing branch and bound and linear programming. A case study of designing a product family of drip coffee maker demonstrates the application of the proposed method in order to verify it.


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