Product Portfolio Design Using Prescriptive Analytics

2018 ◽  
pp. 584-593 ◽  
Author(s):  
Merle-Hendrikje Jank ◽  
Christian Dölle ◽  
Günther Schuh
Keyword(s):  
Product Portfolio ◽  
Prescriptive Analytics ◽  
Portfolio Design

Data-Driven Decision Tree Classification for Product Portfolio Design Optimization

2009 ◽  
Vol 9 (4) ◽  
Author(s):  
Conrad S. Tucker ◽  
Harrison M. Kim
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Engineering Design ◽  
Optimization Techniques ◽  
Product Portfolio ◽  
Performance Expectations ◽  
Data Set ◽  
Tree Data ◽  
Portfolio Design ◽  
Product Concepts

The formulation of a product portfolio requires extensive knowledge about the product market space and also the technical limitations of a company’s engineering design and manufacturing processes. A design methodology is presented that significantly enhances the product portfolio design process by eliminating the need for an exhaustive search of all possible product concepts. This is achieved through a decision tree data mining technique that generates a set of product concepts that are subsequently validated in the engineering design using multilevel optimization techniques. The final optimal product portfolio evaluates products based on the following three criteria: (1) it must satisfy customer price and performance expectations (based on the predictive model) defined here as the feasibility criterion; (2) the feasible set of products/variants validated at the engineering level must generate positive profit that we define as the optimality criterion; (3) the optimal set of products/variants should be a manageable size as defined by the enterprise decision makers and should therefore not exceed the product portfolio limit. The strength of our work is to reveal the tremendous savings in time and resources that exist when decision tree data mining techniques are incorporated into the product portfolio design and selection process. Using data mining tree generation techniques, a customer data set of 40,000 responses with 576 unique attribute combinations (entire set of possible product concepts) is narrowed down to 46 product concepts and then validated through the multilevel engineering design response of feasible products. A cell phone example is presented and an optimal product portfolio solution is achieved that maximizes company profit, without violating customer product performance expectations.

Creating social intelligence for product portfolio design

2014 ◽  
Vol 66 ◽  
pp. 123-134 ◽  
Author(s):  
Yung-Ming Li ◽  
Hsuan-Ming Chen ◽  
Jyh-Hwa Liou ◽  
Lien-Fa Lin
Keyword(s):  
Social Intelligence ◽  
Product Portfolio ◽  
Portfolio Design

Integrating product portfolio design and supply chain design for the forest biorefinery

2010 ◽  
Vol 34 (9) ◽  
pp. 1497-1506 ◽  
Author(s):  
Behrang Mansoornejad ◽  
Virginie Chambost ◽  
Paul Stuart
Keyword(s):  
Supply Chain ◽  
Supply Chain Design ◽  
Product Portfolio ◽  
Portfolio Design

Optimal Product Portfolio Design by Means of Semi-infinite Programming

2020 ◽  
pp. 489-495
Author(s):  
Helene Krieg ◽  
Jan Schwientek ◽  
Dimitri Nowak ◽  
Karl-Heinz Küfer
Keyword(s):  
Product Portfolio ◽  
Infinite Programming ◽  
Portfolio Design
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