Taguchi Designs and Linear Programming Speed New Product Formulation

1989 ◽  
Vol 19 (5) ◽  
pp. 49-56 ◽  
Author(s):  
Michael S. Schmidt ◽  
Larry C. Meile
Keyword(s):  
Linear Programming ◽  
New Product ◽  
Product Formulation ◽  
Taguchi Designs

scholarly journals Contemporising Ayurvedic Product Development Processes - A proposed guideline for developing appropriate technologies

2018 ◽  
Author(s):  
Rahi Jain ◽  
Padma Venkatasubramanian
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Modern Science ◽  
New Product ◽  
Product Development Process ◽  
Product Formulation ◽  
Development Methodology ◽  
Development Processes ◽  
Technology Product

Ayurveda is a traditional medical system of the Indian sub-continent, catering to healthcare of millions of people in India. In today’s times, Ayurveda requires scaled-up production and scientifically proven products. This in turn requires trans-disciplinary methodologies for product development that can leverage the existing knowledge in both Ayurveda and modern science and technology. Product Development in general has two steps, research and development (R&D) and manufacturing. Among the two, unlike in allopathic drugs, R&D in Ayurveda for new product development is in its nascent stage, lacking adequate references on modern methodologies. Such references are important in particular to new comers in the sector. The scope of this paper is to provide a write-up of the Ayurvedic processes and to propose a guideline for Ayurvedic product development that can be used for R&D. The methodology proposed was arrived at by referring selected classical Ayurveda texts and interacting with traditional and modern bio-medicine experts at the Trans-disciplinary University, Bengaluru, Karnataka, India. The study documents three components in Ayurvedic product development namely product formulation-identification, product formulation-preparation and product formulation-validation which can be used to design the Ayurvedic product development methodology. The study also provides the role of different stakeholders in the Ayurvedic product development process. The study provides a methodology to design new Ayurvedic products before being taken up for manufacturing.

Combining Design of Experiments Techniques, Connectionist Models, and Optimization for the Efficient Design of New Product Formulations

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Navid Omidbakhsh ◽  
Ali Elkamel ◽  
Thomas A. Duever ◽  
Park M. Reilly
Keyword(s):  
New Product ◽  
Optimization Techniques ◽  
Experimental Designs ◽  
Efficient Design ◽  
Formulation Design ◽  
Product Formulation ◽  
Development Methods ◽  
Application Specific ◽  
Do So

Product formulation design has seen an increasing attention because of the rising demand for application-specific products such as paints, adhesives, coating chemicals, detergents, disinfectants, pharmaceuticals, etc. However, new product formulation design is becoming increasingly difficult in today's markets due to tough competition. To survive and succeed, companies should be able to design new products in a short pace. Failure to do so can be very costly, not only in terms of market share lost, but also in the investment made to develop a product. Given that traditional product development methods are very slow, and cannot fulfill today's needs, a methodology is presented here to efficiently design new product formulations based on a combination of experimental designs, neural networks and optimization techniques. The methodology is applied on a case study that involves disinfectants' formulations. The framework takes advantage of all previous experiments for the next product formulation design, and archives experimental results of the existing project and uses them to retrain a model for future projects. The results show that the use of the proposed methodology significantly reduces the time and cost of product formulation. Although the methodology is applied to the case study of disinfectant formulation, it can be easily adopted to the design of other products.

Characterisation of reused osmotic solution as ingredient in new product formulation

2002 ◽  
Vol 35 (2-3) ◽  
pp. 307-313 ◽  
Author(s):  
E. Garcı́a-Martı́nez ◽  
J. Martı́nez-Monzó ◽  
M.M. Camacho ◽  
N. Martı́nez-Navarrete
Keyword(s):  
New Product ◽  
Product Formulation ◽  
Osmotic Solution

Selecting new product development team members with knowledge sharing approach

2016 ◽  
Vol 50 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Peyman Akhavan ◽  
S. Mahdi Hosseini ◽  
Morteza Abbasi
Keyword(s):  
Linear Programming ◽  
Product Development ◽  
Knowledge Sharing ◽  
New Product Development ◽  
Programming Model ◽  
New Product ◽  
Project Team ◽  
Content Type ◽  
Team Members ◽  
Non Linear Programming

Purpose – The purpose of this paper is to provide a method for selection of the new product development (NPD) project team members, in such a way to maximize the expertise level of team members and at the same time, optimize knowledge sharing in the organization. Design/methodology/approach – According to the motivation-opportunity-ability framework, knowledge sharing antecedents were determined. Then, the problem of selecting appropriate members of the project team was formulated as a bi-objective integer non-linear programming model. Due to the uncertainty conditions in the evaluation of candidates, the fuzzy sets approach was used for modeling. To solve the problem, first, the non-linear programming model was converted to a linear model. Subsequently, the fuzzy bi-objective linear programming problem was solved by using an approximate algorithm. Findings – Results of applying the proposed method to an Iranian ship-building company showed its effectiveness in selecting appropriate members of the project team. Practical implications – With the aid of the proposed approach, project managers will be able to form effective project teams that while increasing the success probability of the project, facilitate the maintenance of knowledge acquired during the project lifecycle. Originality/value – This paper, for the first time, has tried to provide a method for selecting the NPD project team members, in a way that while selecting candidates with highest expertise, maximizes the sharing of knowledge among them.

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