Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations

Yoon Seong Kim, Eun Jin Han and So Young Sohn
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Yoon Seong Kim: Department of Information & Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Korea
Eun Jin Han: Department of Information & Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Korea
So Young Sohn: Department of Information & Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Korea

Sustainability, 2017, vol. 9, issue 2, 1-16

Abstract: Makers of heavy-duty diesel engines (HDDEs) need to reduce their inventory of old-generation products in preparation for the demand for next-generation products that satisfy new emission regulations. In this paper, a new demand forecasting model is proposed to reflect special conditions raised by the technological generational shift owing to new emission regulation enforcement. In addition, sensitivity analyses are conducted to better accommodate uncertainty involved at the time of prediction. Our proposed model can help support manufacturers’ production and sales management for a series of products in response to new emission regulations.

Keywords: technology diffusion model; demand forecasting; diesel engines; emission regulations (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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