Publication: Relationship management of customer demand and production planning on e-business of thai natural cosmetics
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Issued Date
2019
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85064505456
Rights Holder(s)
Scopus
Bibliographic Citation
ACM International Conference Proceeding Series. (2019), p.287-291
Suggested Citation
Aungkulanon P., Luangpaiboon P. Relationship management of customer demand and production planning on e-business of thai natural cosmetics. ACM International Conference Proceeding Series. (2019), p.287-291. doi:10.1145/3306500.3306523 Retrieved from: https://hdl.handle.net/20.500.14740/5505
Author(s)
Abstract
The higher online customers initiate promising advantage and grasping prospective opportunity for companies in Thai ecommerce market and receive more attention to the demand of cosmetic products. It is therefore useful or even necessary to give more attention to the management of production planning. For capturing customer preferences and sales prediction purposes in large domain considerable effort has directed to construct an effective model of aggregate production planning. This research examines growth of internet Thai users in general via various forecasting techniques of demand. The available data from service customer interaction are useful to predict the monthly purchase behavior of individual users. The proposed model balancing supply with demand to minimize the total production cost or maximize profitability gives high accuracy in predictions of the aggregate number of orders placed by all users each month. However, all parts of the E-Business organization such as operations, marketing including finance departments must join planning processes to ensure that they are moving in harmony with one another. Accurate forecasting and aggregate production planning are such techniques that can move all parts of the organizations in same harmony. © 2019 Association for Computing Machinery.
Subject(s)
Aggregates
Consumer behavior
Cosmetics
E-learning
Electronic commerce
Forecasting
Inventory control
Planning
Production control
Aggregate production planning
Customer preferences
EBusiness
Forecasting techniques
Inventory management
Relationship management
Sales management
Total production cost
Sales
Consumer behavior
Cosmetics
E-learning
Electronic commerce
Forecasting
Inventory control
Planning
Production control
Aggregate production planning
Customer preferences
EBusiness
Forecasting techniques
Inventory management
Relationship management
Sales management
Total production cost
Sales