empty container repositioning kim chang-hwan park young-min seong sang-hwa 2007 industrial...
TRANSCRIPT
Empty Container Repositioning
Kim Chang-hwanPark Young-minSeong Sang-hwa
2007 Industrial Engineering Project
INDEX
2. Approach to Demand Forecasting
4. To be- Planning
1. Review of Focus and Goal
3. Approach to Modeling
1. Review of Focus and Goal
► In this class, according to our focus and goal, we will show you research data for application of academic method.
Focus Research flexible probability inventory model of empty containers that depends on demands
Goal
Research inventory model to determine appropriate inventory level of empty containers which can minimize cost/unit stock left-over and cost/unit demand missing.
2. Approach to Demand Forecasting
• Reason for demand forecasting– Actual demand is not deterministic.– And It depends on season & trend of economic performance.– If we know ‘same as actual demand’, that make to reduces the
cost loss .
• Demand forecasting– Demand has seasonality ( cf. summer demand more than winter)
– Depended flow of market
2. Data for Forecasting
• Probability model for demand forecasting
Model name Holt’s model (winter’s model)
- It is a kind of SCM method. That is for demand forecasting method more accurately using trend and seasonality (Seasonality is only used at winter’s model.)
-We can get more exact information of demand by using seasonality& trend.
-But it’s hard to get initial trend and seasonality
3. Data for Modeling – Object, Constraints
• Assumption for modeling– Container number of Owner have is determined before planning of
inventory model step– Container demand is probabilistic in each period– If rent container as same term, rental cost is expensive as long as
rental period– Don’t consider space insufficiency
• Mathematical method using by inventory model– OR method (EOQ)
• Once order quantity for minimize order cost and holding cost
3. Approach to Modeling
Conditions for
Objective function
Length of planning Number of length for usable containers purchased Rent cost per container ( per period ) Inventory cost per container ( per period ) Demand for number of containers ( probability ) Maximum number of rentable containers Number of rent containers ( per period )
Number of non-used containers
4. To be- Planning
Anaiyze Contributions and effects
for society and management
Anaiyze Contributions and effects
for society and management
Research
Continuously
Research
Continuously
Final
Presentation
Final
Presentation
13 week13 week 14 week14 week 15 week15 week
To be continue…
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