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Analysis of Super Module Initiative for DaimlerChrysler

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Title: Analysis of Super Module Initiative for DaimlerChrysler


1
Analysis of Super Module Initiative for
DaimlerChrysler
  • ISYE 6203
  • Dr. Vande Vate
  • April 6, 2006
  • Team Members
  • Mike Harding Hao Junxian (Peter)
  • Joongsup Lee Atul Malik
  • Paitee Skooleiam (Tee) Paul Young

2
Briefing Agenda
  • Company Problem Background
  • Problem Statement and Key Items
  • Analysis
  • Company Costs and Projected Savings
  • Facts about DCX and Suppliers
  • Assumptions Used
  • Outsourcing Options
  • Variation in Shipping requirements
  • Proposed Solution
  • Cost Comparison
  • Supply Consolidation
  • Recommendation

3
Background Company
  • Daimler Chrysler is investigating having an
    outside supplier produce a Super Module for its
    2009 Model Vehicle Programs built at its St.
    Louis Assembly Plant (DCX).
  • Outsourcing manufacturing work to the supply base
    can significantly reduce labor costs.
  • However, if the supply chain is improperly
    designed it can increase costs in shipping,
    handling, inventory supplier manufacturing that
    can easily outweigh any labor savings obtained.

4
Background - Super Module Content
Front Suspension Module (FM)
Brake / Knuckles, Springs / Struts Other Misc.
Components

Powertrain Module (Engine, Transmission, Clutch)

5
Problem Statement
  • Based on the their preliminary analysis, DCX
    believes that an outsourced Super Module will be
    cost advantageous.
  • DCX would like to know the best way to manage the
    Super Module through its supply chain. By doing
    the following
  • Examining three proposed options for outsourcing
    to determine which option is the best to minimize
    inventory and transportation costs and while
    maximizing responsiveness and flexibility.
  • After determining the best option, analyze it for
    the most effective use of shipping docks and the
    number of modified trucks to incorporate
    pre-existing Modular Rack System (MRS, seen below)

6
Problem Statement - Key Investigation Items
  • Which supplier should produce the Super Module?
  • What is the optimal production / shipping
    process?
  • What operating patterns should be followed by
    each Supplier?
  • How much inventory does each Supplier need to
    hold?
  • How many dedicated shipping docks at the
    Assembly Plant and each Supplier will be required
    to manage the Super Module?
  • How many trucks will be needed to ship the
    Super Module?

PM (68 job/hr)
FM (136 job/hr)
PM (68 job/hr)
FM (136 job/hr)
15
13
7
15
3PL
FM (136 job/hr)
PM (68 job/hr)
4
18
9
AP
AP
AP
7
Analysis DCX Super Module Cost Breakdown
  • Savings / Cost Avoidances
  • Material Handling dunnage not required to
    transport Powertrain Module to the assembly plant
    (200K)
  • Material Handling dunnage not required to
    transport Front Suspension Module to the plant
    (100K)
  • Floor Space not required to display Powertrain
    Module and Front Suspension Module at the
    Assembly Plant (400,000)
  • No backup storage area required (500K)
  • Less Shipping Docks needed (200K)
  • Eliminate need for interchangeable tooling and
    storage on AGVs (400k)
  • Eliminate need for lifting device to load Front
    Suspension Module from dunnage to AGV (50k)
  • Eliminate need for lifting device to load
    Powertrain Module from dunnage to AGV (50k)
  • Eliminate need for material display devices for
    Powertrain, Front Suspension Modules other
    components (500K)
  • Costs
  • Simple strip system to auto load / unload Super
    Module from shipping trailers and stage to AGVs
    (500K)
  • Hoist to load Super Module to AGV (50K)
  • Unknown Costs
  • Suppliers per unit cost for assembling Super
    Module

8
Analysis DCX Super Module Labor Breakdown
  • DCX Plant Manpower Impact
  • Receiving Super Module vs. separate Powertrain
    Module, Front Suspension Module Other Loose
    Components
  • Total for 2 shifts
  • a. Direct Labor Operators 10
  • b. Material Handling Operators 4
  • c. Other Operators (Skilled, Union, etc.) 1
  • d. Salary Supervisors (1 to 25 ratio of abc)
    0.6
  • e. Team Leaders (1 to 6 direct labor operators of
    a) 1.7
  • Pools (based on 18 absenteeism x (ab)) 2.5
  • Total 19.8
  • Total Savings 2,572,000

9
Analysis - DCX Plant Information
  • Operating Pattern
  • 8 Hours per Shift x 2 Shifts
  • 1088 Net Vehicles per Day
  • 68 Net Vehicles per Hour
  • Manufacturing Objectives
  • Flexible manufacturing capabilities
  • Build multiple vehicle platforms on the same
    assembly line
  • Mix models, options and vehicle content based on
    customer demand
  • Reduce un-needed on-hand inventory


Loaded onto AGVs
Body / Chassis Marriage
Auto Load / Unload of Super Module
Shipping Docks
10
Analysis - Facts
  • Distances between the suppliers, 3PL, and
    Assembly plant are known
  • The size and weight for each module type is
    known. Furthermore, by using the Modular Rack
    System, the cube limits hauling capacity.
  • Production rates of the Front Suspension Module
    and Powertrain Module are fixed and total
    production for each module is 1088 units per day
  • FM is produced at rate of 136 units per hour for
    one 8 hour shift
  • PM is produced at rate of 68 units per hour for
    two 8 hours shifts (16 hours)
  • Both suppliers currently maintain about 3-5 weeks
    of raw materials for their production processes

11
Analysis - Assumptions
  • Potential of many unique Super Modules being
    required due to a wide variety of available
    components
  • Left hand drive vs. Right hand drive
  • Suspension stiffness
  • Engine Sizes (Diesel, Hemi, etc.)
  • Transmissions (Auto, Manual)
  • Varying electronics, emission requirements,
    export requirements
  • Data complexity narrowed down to 5 key Super
    Module combinations

12
Analysis - Assumptions
  • Average value per unit of inventory
  • Front Suspension Module 3,500
  • Powertrain Module 6,000
  • Super Module 11,000
  • Supplier assembly costs for producing the Super
    Module are equal (including initial set-up,
    holding costs, labor, etc.)
  • Each truck can transport either 48 Super Modules,
    48 Powertrain Modules, or 96 Front Suspension
    Modules via the Modular Rack System
  • Assumed production rate of the new Super Module
    would be 68 units per hour
  • Initially rate of travel will be assumed
    constant
  • 30 minutes for legs between the FM, PM, and DCX
  • 15 minutes for legs between the 3PL and any other
    node
  • Other time consideration is 30 mph
  • Loading time for non-AGV system is 20 minutes per
    truck (loading or unloading)

13
Analysis Outsourcing Options
  • Based on the requirement from the Assembly Plant,
    we determined that the system was a pull system
  • Analyzing the components of the system, it is
    mainly deterministic with its main variability
    coming from transportation times, loading and
    unloading times, inspection times, and assembly
    line reliability rates (maintenance failures).
  • Looking at the three proposed solutions, we
    decided on a completely lean, deterministic
    system with the assumed travel times for each leg
    for initial comparison
  • Shift times were staggered
  • Inventory was the same (272 Front Suspension
    Modules)
  • Main difference was travel times/distances,
    number of trucks, and loading times (not
    including vehicle inspection)
  • Truck cycle is load, travel, inspection, unload,
    load empty MRS, travel, then unload empty MRS.
    Fuel cost was calculated with 5mpg and 2.50 per
    gallon for 250 days

14
Analysis Lean System PM Supplier producing
Basic IDEA of 192 Min Window Lean Supply Chain
15
Analysis Variance on Number of Trucks
  • After the initially comparison pointed entirely
    to the Powertrain supplier as the best option.
    We took this option and introduced some
    variability into the system to account for travel
    time, inspection times, and loading times. We
    will assume that each element of the truck cycle
    is independent of each other. Also that the
    variability for loading and travel remain
    constant for the entire trip. Also since,
    distance was important during the cost
    evaluation, we assumed a mean of 30 mph or 2
    minutes per mile. Loading times for AGV systems
    are assumed to be deterministic (maintenance).

The following were standard deviations we picked
initially st 20 seconds per mile si 3
minutes per inspection (10 of mean and mainly
human interactions sl 3 minutes per event (15
of mean because requires MHE) Holding any one of
these fixed we could vary the other up to the max
value and still maintain the same number of
trucks.
16
Proposed Solution PM Supplier Produces SM
Shipping Unloading
15 miles
Production Loading
Powertrain Module Processing
Super Module Processing
9 Miles
Shipping Unloading
Build Broadcast
Assembly Plant
Specialized Truck for shipping Super Module
17
Cost Comparison PM Supplier vs DCX
  • After looking at the different aspects of the
    system and how the Powertrain Supplier is the
    best alternative to minimize the costs in the
    supply chain.
  • Total Estimated Savings over Program Life
    1,224,000
  • Note - Cost per unit does not include
  • 1. cost of capital for up front investment
    costs
  • 2. inventory holding costs other than floor
    space to store it

18
Supply Consolidation Existing Inventory
Managing supply
  • What are the complexities?
  • Variability in modules

- Variability in components, from various
suppliers
PM 125 components, 50 suppliers FM 31
components, 11 suppliers SM 57 components, 10
suppliers
19
Supply Consolidation
  • The replenishment is scheduled to share the
    transportation cost among products from the same
    supplier.
  • - Find the right demand
  • Daily production x Usage x Usage by BOM
  • Compute EOQ and T respectively for different
    parts
  • step 1Round T to nearest power of two,
    minimal T
  • Re-compute order quantity (QDT) and thus holding
    cost with reduced transportation cost (A)
  • - step 2 Decrease T for all parts towards T
  • Re-compute order quantity (QDT) and thus holding
    cost with A unchanged

20
Supply Consolidation For each Module
  • Summary of cost saving

EOQ
Step 1 result
Step 2 result
21
Supply Consolidation Comparison
Summary of cost saving
12.30 saving
16.80 saving
22
Recommendations
  • Our recommendation is to proceed with the
    outsourcing of the Super Module production to the
    Powertrain Module Supplier.
  • PM Supplier does not ask for more than 12.40 a
    unit
  • Reduces liability involved with in-house labor
  • Potential savings or cost avoidance 1.2
    million
  • Allows PM Supplier to increase inventory
    shipments from, thus reducing their cyclic
    inventory cost
  • In addition, we recommend some raw material
    consolidation in shipments for both the FM and PM
    suppliers to reduce inventory costs.

23
  • Questions
  • ?

24
Cost Comparison Back-up Data
DCX does work in-house
25
Cost Comparison Back-up Data
DCX outsources work
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