Intermodal vs. Truckload

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Transcription:

Intermodal vs. Truckload AUTHORS: TIANSHU HUANG AND BERNARDA SERRANO ADVISORS: DR. CHRIS CAPLICE AND DR. FRANCISCO JAUFFRED MIT SCM RESEARCH FEST MAY 25 TH, 2017

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Two transportation mode options for inbound logistics Faster but expensive Cheaper but slower

Motivation for the research High variability speed of loads shipped on similar-distance lanes. Different speed variability of each transportation mode. Figure 1: Speed vs. Distance

Research question ØHow to incorporate this transit variability into the calculation of the total logistics cost for each transportation mode (Truckload, Intermodal)?

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Methodology Step 1 Step 2 Step 3 Data Profiling Time/Distance Probability Distribution Total Cost Function

Geographic Scope Origin Truckload Intermodal Source: ABC Stores

Data Profiling: Transit Time Figure 2: Average Transit Time vs. Distance - Truckload Figure 3: Average Transit Time vs. Distance - Intermodal

Time/Distance Distribution Figure 4: Histogram of Time/Distance (h/ mi.) - Truckload Mean: 0.0568 h/ mi. Standard deviation: 0.0561 h/mi. Figure 5: Histogram of Time/Distance (h/ mi.) - Intermodal Mean: 0.1086 h/ mi. Standard deviation: 0.0504 h/mi.

Total Logistics Cost Total Cost = CPL D + / 0123 C D d t(μ, σ, service level) Transportation Cost Inventory Cost Where: CPL= Carrier cost per load ($/l). D = Annual demand of the lane in number of loads (l). / 0123 = Inventory holding rate ($/$/h). C = Value of the load ($/l). d = Distance (mi.). t(μ, σ, service level) = Time/Distance for a given service level (h/mi.).

Inventory Cost Inventory Cost = / C D d t(μ, σ, service level) 0123 Where: / 0123 = Inventory holding rate ($/$/h). C = Value of the load ($/l). D = Annual demand (l). d = Distance (mi.). t(μ, σ, service level) = Required Time/Distance (h/mi.).

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Initial results ü The model s recommendation coincides with ABC Store s mode choice on about 74% of the lanes.

Sensitivity Analysis Load Value Volume Service level Total Cost = CPL D + h C D d t(μ, σ, service level) 8760

Impact of changes in Load Value Percentage of lanes 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 0 15000 30000 45000 60000 75000 90000 105000 120000 Load value ($) Figure 6: Sensitivity Analysis based on Load Value TL TL (ND) (Normal) IM IM (ND) (Normal) TL TL (LnD) (Lognormal) IM IM (LnD) (Lognormal)

Impact of changes in Volume Percentage of Lanes 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 0 10 20 30 40 50 60 70 80 90 100 Volume (l) Figure 7: Sensitivity Analysis based on Volume TL TL (ND) (Normal) IM IM (ND) (Normal) TL TL (LnD) (Lognormal) IM IM (LnD) (Lognormal)

Impact of changes in Service Level 80% 70% Percentage of Lanes 60% 50% 40% 30% 20% TL TL (ND) (Normal) IM IM (ND) (Normal) TL TL (LnD) (Lognormal) IM IM (LnD) (Lognormal) 10% 0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Service Level Figure 8: Sensitivity Analysis based on Service Level

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Two ways of simplifying the model Initial model Final model Time/Distance Distribution: Normal and Lognormal Multiple set of parameters for each transportation mode Time/Distance Distribution: Normal One set of parameters for each transportation mode Total Cost = CPL D + h C D d t(μ, σ, service level) 8760

Two ways of simplifying the model Total Cost = CPL D + h C D d t(μ, σ, service level) 8760 Initial model Final model Truckload Intermodal

Sensitivity Analysis Load Value & Volume Percentage of Lanes 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 0 20000 40000 60000 80000 100000 120000 Load Value ($) TL (MP) (Multiple sets) TL (OP) (One set) IM (MP) (Multiple sets) IM (OP) (One set) 100% Percentage of Lanes 80% 60% 40% 20% 0% 0 10 20 30 40 50 60 70 80 90 100 Volume (l)

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Generalizing the model Total Cost = CPL D + h C D d t(μ, σ, service level) 8760 Truckload Intermodal Ø Annual transportation cost = $15,000 ØAnnual transportation cost = $13,500 Ø μ = 0.0568 σ = 0.0561 Ø μ = 0.1086 σ = 0.0504 Ø Annual holding rate (h) = 0.10 Ø Volume (D) = 25 loads per year Ø Distance (d) = 900 miles Ø Different values of load value (C) and service level were tested.

Total Cost comparison Load Value 1.1 1.05 1 TL/IM 0.95 0.9 0.85 0.8 0 250000 500000 750000 1000000 1250000 1500000 1750000 Load Value($) Figure 11: Total cost of Truckload/ Total cost of Intermodal by load value

Total Cost comparison Service Level TL/IM 1.05 1.04 1.03 1.02 1.01 1 0.99 0.98 0.97 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Service Level (%) Figure 12: Total cost of Truckload/ Total cost of Intermodal by service level

Agenda 1. 2. 3. 4. 5. 6. Context & Scope Methodology Results Simplifying the model Generalizing the model Key Takeaways

Key Takeaways ü Both normal and lognormal distributions can be used to transit time per mile. ü The expected transit time of truckload is shorter than the expected transit time of intermodal. ü The variability of transit time is lower for intermodal than for truckload. Future Research Geographic Impact Demand Variability Carrier capacity

Q&A

Appendix

Appendix 1 Ø To convert the scale and shape (lognormal parameters) to mean and standard deviation, respectively, we applied the following formulas: μ = e GHIJ K σ = (e KGHIJ ) (e IJ 1N

Appendix 2: Why multiple sets? Figure 25: TL Time/Distance vs. Transit Time Figure 26: TL Time/Distance vs. Transit Time