DAIRY FOODS: TRENDS, RESEARCH, AND DEVELOPMENT

1972 ◽  
Vol 35 (3) ◽  
pp. 142-147 ◽  
Author(s):  
J. E. Kinsella

The status and trends within the dairy industry are reviewed in relation to the current concern with new product development. The expediency of devoting further research toward improving the technology and quality attributes of traditional products for which there is a growing demand, i.e., low-fat beverage milks, cheeses, etc., is emphasized. The need to apply practical research findings in the formulation of dairy ingredients for other sectors of the food industry are cited especially with regard to the manufacture of milk powders for the bakery industry.

2011 ◽  
Vol 15 (02) ◽  
pp. 279-301 ◽  
Author(s):  
LIHONG ZHANG ◽  
DAVID BRYDE ◽  
JOANNE MEEHAN

Achieving close and on-going co-ordination between the various stakeholders involved in the product design and process development has been a main issue in complex new product development (CoNPD). Challenges arise in balancing product innovation and process optimisation, particularly when business customers place an order with a requirement featured as open system specification (OSS). This paper examines CoNPD projects in two international engineering companies based in the UK. The aim is to explore the use of specification management, with a particular focus on the project stakeholders that are both internal and external to the companies. Analysis of the data reveals issues associated with how the stakeholders interact to: manage the risks of associated with OSS projects, develop solution-based approaches and deal with the novelty of technology integration. The research findings provide evidence for a make-to-concept specification management process for contracted CoNPD projects. In doing so, the paper makes a contribution towards developing an approach to solution-oriented businesses that is informed by a rich understanding of how project stakeholders work together to manage CoNPD projects.


1998 ◽  
Vol 1 (2-3) ◽  
pp. 11-15
Author(s):  
Prisana Suwannaporn ◽  
Mark Speece

2021 ◽  
Vol 36 (13) ◽  
pp. 263-273
Author(s):  
Petteri Annunen ◽  
Erno Mustonen ◽  
Janne Harkonen ◽  
Harri Haapasalo

Purpose This study aims to focus on creating sales capability as part of new product development (NPD). The aim is to define generic requirements for building sales capability as a part of NPD and to propose a necessary process by defining key activities for sales readiness. Design/methodology/approach An inductive and qualitative research method was used to construct a sales capability creation process based on a current state analysis in seven companies. Findings The results indicate that the status of companies’ sales-related planning varies during the NPD, and the related activities are not systematically managed. Considering sales early is necessary to enable a smooth and cost-efficient start of sales, and to avoid unnecessary delays and problems in other functions. At the same time, the companies recognise the need for improvement. Originality/value This paper presents a potential process including systematic activities for creating sales capability in conjunction with product development, which is novel to the literature. The proposed process is applicable in aligning industrial company needs.


2018 ◽  
Vol 21 (7) ◽  
pp. 847-864 ◽  
Author(s):  
Gholamreza Soltani-Fesaghandis ◽  
Alireza Pooya

Predicting the performance of the new product development and selecting the strategy in the case of new product development failure is an issue that has drawn the attention of the many managers. Therefore, the goal of this study is to design an integrated system of prediction of product development success and selection of a proper market-product strategy by the method of artificial intelligence in companies working in the food industry. The population of this study was 250 companies of the food industries in Iran. The inputs and outputs of the success of the new product development were obtained from the research literature. Moreover, Ansoff matrix was applied to select the market-product strategy. A questionnaire was used to collect the data in this study. The adaptive neural-fuzzy network method and the fuzzy inference system are used to analyze the data. The results show that the Chief Executive Officers of companies working in the food industry may take action to predict a new product development success before developing the new product and use alternative strategies if needed.


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