It is noticeable that forecast information is always subject to some deviations, but it helps reduce the product time-to-market. This is important as customer loyalty decreases as the waiting time becomes longer; thus, to have a balance between forecast error and customer loss becomes essential. This paper presents a production approach that aims at compensating the forecast error and the possible customer loss in waiting for either a product (or a service) to boost the profit. A novel model to tackle this scenario is presented. The results showed that it could offer a better production solution than the Make-To-Stock or the Make-To-Order approaches by starting the production sometime in between these two traditional approaches.
- customer behaviour
- forecast variation
- production model
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering