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Dema Demand Dr Driven en Ma Materi rials Requi quirements ts Plan Plannin ing (D (DDMRP) P) Can DDMRP be a game-changer in supply chain planning? Leo Ducrot and Ehtesham Ahmed. SCMb 2019 Advisors: Dr Tugba Efendigil, Dr Sergio Alex


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Dema Demand Dr Driven en Ma Materi rials Requi quirements ts Plan Plannin ing (D (DDMRP) P)

Can DDMRP be a game-changer in supply chain planning?

Leo Ducrot and Ehtesham Ahmed. SCMb 2019 Advisors: Dr Tugba Efendigil, Dr Sergio Alex Caballero

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SLIDE 2

Sponsors

Advanced Planning System Provider Industrial partner (investigating DDMRP) Institute developing and promoting DDMRP

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SLIDE 3

13%

service level

  • 20%

inventory

Motivation: Can DDMRP be a game changer?

  • 48%

leadtime reduction DDMRP average result : Can these numbers be achieved in all industries?

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SLIDE 4

Motivation: Can DDMRP be a game changer?

service level inventory leadtime reduction Financial impact: ROI

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SLIDE 5

What is DDRMP?

DDMRP is a multi-echelon supply chain planning approach that

combines the best of lean, MRP, six-sigma and the theory of constraints

2 3 4 5 1

Position Protect Pull Strategic buffer positioning Buffer profiles Dynamic adjustments Demand driven planning Execution and priorities

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SLIDE 6

What is DDMRP?

DDMRP Leverages decouplingpoints to make the planning problem easier!

Coupled MRP Decoupled DDMRP

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What is DDMRP?: Inventory buffers

Top Of Green

Define the order size and the order frequency Provides inventory over lead time Protect against variability

Top Of Yellow Top Of Red

80 100 50 Buffer levels (in product unit)

Order volume

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SLIDE 8

What is DDMRP?: Run chart

Volume product unit

Time (days)

Example of DDMRP run chart

Sum of TOPOFGREEN Sum of TOPOFYELLOW Sum of TOPOFRED Sum of NETFLOWPOSITION

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SLIDE 9

What is in for me?

Could that work in my company?

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Problem Setting and Research Question

DDMRP uses decoupled points to create a more stable and suitable environment for MRP. Would that bring better results than a APS?

Capacity Constraint Sourcing decision Shelf-life Constraint

Research Question: What would be the added value of DDMRP in finite capacity planning under uncertainty?

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SLIDE 11

Methodology

Qualitative/ Quantitative part: What

was the impact of DDMRP on companies that implemented it?

Simulation analysis: Let’s compare

KPIs of plans made with APS and DDMRP

Inventory turn Service Level

Interviews: A few

companies, in-depth investigation

Survey: Many

companies, targeted questions

Simulation: Comparing APS

and DDMRP in a controlled environment

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SLIDE 12

Could it work for my company: Size

17% 46%

> $10 B

Annual revenues <= $100 M > $100M <= $500M Proportion

29%

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SLIDE 13

Could it work for my company: Legacy system

MRP APS

23%

  • 23%
  • 55%

7%

  • 13%
  • 26%

inventory Customer lead time service level

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SLIDE 14

Could it work for my company: Maturity level

23%

  • 22%
  • 47%

inventory Customer lead time service level

6%

  • 16%
  • 29%
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SLIDE 15

Could it work for my company?

It looks like it is applied everywhere!

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SLIDE 16

Could it work for my company?

Can DDMRP handle my operational constraints?

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Could it work for my company: Sourcing decisions

Moderately Effective Effective

All respondents Respondents with sourcing decisions

27% 54% 38% 46%

Sourcing decision

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SLIDE 18

Could it work for my company: shelf-life limitations

Moderately Effective Effective

All respondents Respondents with shelf-life limitations

29% 42% 38% 46%

Shelf-life Constraint

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SLIDE 19

Could it work for my company: Finite capacity

Capacity Constraint

Moderately Effective Effective

All respondents Capacity constraints respondents

15% 58% 18% 73%

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Could it work for my company: DDMRP or APS

80.0% 85.0% 90.0% 95.0% 100.0% 20 40 60 80 100 120

Service Level VS Inventory Turns Scenario 1

APS Heuristic Scenario 1 APS Solver Scenario 1 DDMRP Scenario 1 80.0% 85.0% 90.0% 95.0% 100.0% 20 40 60 80 100 120

Service Level VS Inventory Turns Scenario 2

APS Heuristics Scenario 2 APS Solver Scenario 2 DDMRP Scenario 2

DDMRP outperforms the

heuristic-based planning Results are similar to the solver DDMRP is more robust to

capacity constraint than

the heuristic The solver is overall more

robust

Optimal corner Less capacity

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SLIDE 21 80.0% 85.0% 90.0% 95.0% 100.0% 20 40 60 80 100 120

Service Level VS Inventory Turns Scenario 4

APS Heuristics Scenario 4 APS Solver Scenario 4 DDMRP Scenario 4

Could it work for my company: DDMRP or APS

80.0% 85.0% 90.0% 95.0% 100.0% 20 40 60 80 100 120

Service Level VS Inventory Turns Scenario 3

APS Heuristic Scenario 3 APS Solver Scenario 3 DDMRP Scenario 3

DDMRP outperforms the

heuristic-based planning Results are similar to the solver The solver is overall more

robust

Less capacity

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SLIDE 22

Could it work for my company: DDMRP or APS

KPIs Easy to understand

APS heuristic APS solver DDMRP

Easy to maintain

Non-trivial solutions Operational constraints

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SLIDE 23

DDMRP and the operations

0% 20% 40% 60% 80% 100% Planning Stability Clear priorities Better control

  • ver the
  • perations

Smoother dependent requirements Relevant information

Improvements in the operations with DDMRP

Agree Neither Agree nor Disagree Disagree Cannot Say

Graph showing the frequency of the answer

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SLIDE 24

DDMRP streamlines operations

Education program across the company

Educate everyone on the basic of flow

Align objectives

DDMRP implementations lead to streamlined operations across the internal supply chain

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Could it work for my company?

It seems like DDMRP can handle complex

  • perational

constraints!

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Conclusion: What is the added value of DDMRP?

Easy planning method that can have a positive financial impact and

provides a competitive edge Provides results similar to a mathematical solver

Streamline the operations

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Do Do you have e any y questi tion?

? A

lduc lducro rot@mit it.e .edu du ea eahmed ed@mit. t.ed edu

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SLIDE 28

Literature review: Current state

MRP APS DDMRP

Current literature available

1965 1990’s 2011

Project scope PhD thesis

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Problem setting: DDMRP planning principles

80

120

70

50 100 150 200 250 300

Quantity to replenish Only use Customer order Adapt the system (Portfolio, capacity, buy-make) to the desired future

Order book Cumulative leadtime Long time future

80

120

70

50 100 150 200 250 300

Set up buffers according to anticipated future Use forecasts

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Problem setting: Hypothesis of MRP

MRP/APS 1 coupled plan Long leadtimes Variability passed on between levels

DDMRP

Multiple decoupled plans Shorter (decoupled) leadtime Reduced variability

MRP requires stable demand signal and low operational variability. Hypothesis are no longer valid Hypothesis are no longer valid