A demand chain design for Chinese oatmeal companies

Haitao Wen, Lijing Song

Abstract


Purpose: The purpose of this paper is to provide a demand chain design framework for Chinese small and medium enterprises in the oatmeal industry, to help them blaze a new trail in China's oatmeal market.

Design/methodology/approach: The approach using in the demand chain design is extended Quality Function Development (QFD), which provides a communication tool so that designers can find a way to integrate customers’ needs into design chain.

Findings: This paper illustrates an investigation of oatmeal consumed in China, and the result shows 9 factors influencing consumer’s purchasing decisions mostly. Then use these factors to design the demand chain, and the most important processes and tasks for the enterprises are come out from the fist and the second House of Quality (HOQ), which are the main part of the design. Finally, a demand chain design is completed.

Research limitations/implications: It is an application of a demand chain design framework in real Chinese oatmeal market, but the data sample is limited. Consumption surveys should have more data sources with more detailed consumer groups. And the design model needs more real-life examples to verify

Practical implications: Since oatmeal products industry develops rapidly in China, oatmeal market is becoming a vast bright market. And due to the low customer satisfaction of Chinese oatmeal market, it is crucial that companies can find a way to design their demand chain, so they can completely meet the needs.

Originality/value: A demand chain design framework is presented with being specific to Chinese oatmeal market. It shows a real-life example of demand chain design, and provides the domestic oatmeal companies with an approach to compete in the market.


Keywords


demand chain, design chain, oatmeal

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DOI: http://dx.doi.org/10.3926/jiem.1316


Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2017

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience