Decision Making and Decision Support Within New Product Development

2014 ◽  
pp. 258-279 ◽  
Author(s):  
Bart MacCarthy ◽  
Robert Pasley
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
New Product Development ◽  
Process Development ◽  
Early Stage ◽  
New Product ◽  
Group Decision Support Systems ◽  
Extensive Literature ◽  
Decision Attributes ◽  
Product And Process

There is an extensive literature on new product and process development (NPD). However, the analysis of decision making and decision support requirements in this area is less well researched. Here we discuss decision making in the context of NPD and identify decision types and decision attributes relevant to the NPD context. They illustrate the approach by analyzing NPD decisions in three industrial cases with a focus on early stage NPD decisions. They create a set of attributes with reference to the decision making literature. They find these attributes can be used to codify decisions in order to characterize them. They find the design decisions in these case studies to be creative and brainstorming-led with a low level of structure. The results provide insights both on decision making in NPD in practice and on the requirements for group decision support systems (GDSS) in this area. The authors suggest that an argumentation-based GDSS that allows structure to be developed may be suitable for these decisions. The cases are used to illustrate the application of the approach and show an interesting set of example decision types, but do not cover the range of NPD decisions that may be evident in a larger set of companies.

Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach

2021 ◽  
pp. 107456
Author(s):  
Seyedeh Anahita Mousavi ◽  
Hamidreza Seiti ◽  
Ashkan Hafezalkotob ◽  
Sobhan Asian ◽  
Rouhollah Mobarra
Keyword(s):  
Decision Support ◽  
Product Development ◽  
Decision Support Systems ◽  
New Product Development ◽  
Support Systems ◽  
New Product ◽  
Fuzzy Decision

Developing an Evidence-Based Clinical Decision-Support System to Enhance Prosthetic Prescription

2021 ◽  
Vol 10 (1) ◽  
pp. 121-125
Author(s):  
Pratima Saravanan ◽  
Jessica Menold
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Gait Analysis ◽  
Support System ◽  
Patient Specific ◽  
Evidence Based ◽  
Extensive Literature ◽  
Analysis Tool ◽  
Care Providers

With the rapid increase in the global amputee population, there is a clear need to assist amputee care providers with their decision-making during the prosthetic prescription process. To achieve this, an evidence-based decision support system that encompasses existing literature, current decision-making strategies employed by amputee care providers and patient-specific factors is proposed. Based on an extensive literature review combined with natural language processing and expert survey, the factors influencing the current decision-making of amputee care providers in prosthetic prescription were identified. Following that, the decision-making strategies employed by expert and novice prosthetists were captured and analyzed. Finally, a fundamental understanding of the effect gait analysis has on the decision-making strategies of prosthetists was studied. Findings from this work lay the foundation for developing a real-time decision support system integrated with a portable gait analysis tool to enhance prescription processes. This is critical in the low-income countries where there is a scarcity of amputee care providers and resources for an appropriate prescription.

A new fuzzy decision-making approach for selecting new product development project

2016 ◽  
Vol 24 (3) ◽  
pp. 240-250 ◽  
Author(s):  
Chiu-Chi Wei ◽  
Agus Andria ◽  
Houn-Wen Xiao ◽  
Chiou-Shuei Wei ◽  
Ting-Chang Lai
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Product Development Project

scholarly journals Product Portfolio Management: An Important Business Strategy

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Mishelle Doorasamy
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Portfolio Management ◽  
Business Strategy ◽  
New Product ◽  
Product Portfolio ◽  
Historical Developments ◽  
Statistical Trends ◽  
The Relationship

Abstract The aim of this article is to provide reader with a comprehensive insight on the theories, empirical findings and models of Product Portfolio Management (PPM) during new product development. This article will allow for an in-depth theoretical approach on PPM and demonstrate to managers the importance of adopting PPM as business strategy during decision making. The objective of this paper is to present a literature review of models, theories, approaches and findings on the relationship between Product Portfolio Management and new product development. Relevant statistical trends, historical developments, published opinion of major writers in this field will be presented to provide concrete evidence of the problem being discussed.

Innovation in Product Design

2017 ◽  
pp. 189-209
Author(s):  
Ravi Ramakrishnan ◽  
Loveleen Gaur
Keyword(s):  
Survey Data ◽  
New Product Development ◽  
Early Stage ◽  
Hard Core ◽  
New Product ◽  
Strategic Development ◽  
Customer Information ◽  
New Business ◽  
Human Perceptions ◽  
3D Printers

The IoT and 3D printing can become a potent combination when it comes to launching new business initiatives driven by hard-core data and analytics and not really based on human perceptions or limited survey data. Previous empirical research has shown that drivers of new product performance are a mix of strategic, development process, organizational, and market environmental factors. This chapter attempts (1) to understand how introduction of IoT sensors embedded in customer appliances or wearable's sending real time customer information coupled with rapid prototyping using remotely located 3D printers can help address design considerations for new products, and (2) to provide an overview of how using IoT data and 3D printers for new product development and prototyping as an early stage activity can be done without using human imagination of restricted market survey data.

Group Decision Support Systems

2009 ◽  
pp. 82-89
Author(s):  
John Wang ◽  
James Yao
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSSs) was coined at the start of the 1990’s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this paper

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