
@Article{iasc.2020.013934,
AUTHOR = {Chun Di},
TITLE = {Research on the Product Logistics Cost Control Strategy Based on the Multi-Source Supply Chain Theory},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {557--567},
URL = {http://www.techscience.com/iasc/v26n3/40015},
ISSN = {2326-005X},
ABSTRACT = {In response to the rapidly changing market environment and adapting to many 
impacts such as political, economic and technological conditions, supply chain 
managers are increasingly demanding a high-speed and efficient way to adjust 
the design to optimize the supply chain structure. In order to facilitate the 
participating companies in the supply chain to quickly and effectively implement 
the supply chain design optimization strategy, improve the competitiveness of 
enterprises and the ability of the entire supply chain to resist risks. Enterprises 
have gradually reduced the space for enhancing the competitive advantage by 
reducing raw material consumption, labor costs and increasing production 
efficiency in production. The high logistics cost is a heavy burden for 
enterprises. In the face of fierce competition in the industry, how to highlight 
the core competitiveness of enterprises and expand market share has become 
an urgent problem for almost all enterprises. Therefore, this paper takes the 
logistics cost of an electrical appliance as the research object, and 
systematically studies the logistics cost control problem of the electrical 
enterprise based on the multi-source supply chain theory. As far as electrical
companies are concerned, they quickly find out the problems of the logistics 
cost control and adopt corresponding cost control optimization methods to bring 
about good logistics cost reduction effects. At the same time, obtaining 
corresponding guidance in improving distribution efficiency and a logistics 
service level, in hopes to improve the attention of the electrical appliance 
enterprises on logistics cost control, and guide enterprises to establish correct 
logistics cost management concepts.},
DOI = {10.32604/iasc.2020.013934}
}



