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Reverse Logistics Networks Steven Walker Logistic Systems: Design and Optimization (Chapter 6)

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Reverse Logistics

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Page 1: RL Networks Presentation

Reverse Logistics Networks

Steven WalkerLogistic Systems: Design and

Optimization (Chapter 6)

Page 2: RL Networks Presentation

Introduction

Definition Reverse logistics –

Handling of the return flows of product or equipment back from consumer for reuse, recovery, or recycling.

How is it different? Reverse flow of goods back from customer May require additional facilities and

transportation costs for material handling (disassembly)

Page 3: RL Networks Presentation

Introduction

Reasons for Reverse Logistic (RL) Networks: Environmental

Green initiatives Electronic waste Hazardous metals (RoHS)

Economic Reduced raw material costs

Customer Service Customer satisfaction

Page 4: RL Networks Presentation

Introduction

Applications Facility Location* Inventory Management* Transportation* Production Planning

*Example problem will focus on these applications.

Page 5: RL Networks Presentation

Recovery Programs Economic interests

Reduces raw material costs Types of Recovery:

Product – recycled directly or repaired and sent back under warranty

Component – Product is dismantled and components are used in same or similar products

Material – recyclables like metal, paper, or glass Energy - Incineration

Page 6: RL Networks Presentation

Types of Networks

Directly Reusable Easily re-used with very little added effort. Example – pallets, bottles, or containers

Remanufacturing Returned products dismantled and parts or

components used like new Example – copy machine, aircraft engine

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Types of Networks (cont’d)

Repair Service Defective products returned and repaired

Recycling Recycling of raw materials

Page 8: RL Networks Presentation

RL Network FrameworkSuppliers

Material Recycling

ProductionDistribution Customers

CollectionIntermediate Processing

Page 9: RL Networks Presentation

Types of Decisions

Strategic Must include reverse flow recovery path in

network Must consider costs related to forward and

reverse channels that returned material travel through

Location of plants and warehouses for recovery

Ex.- collection points and remanufacturing plants.

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Types of Decisions (cont’d)

Tactical Integration of return flows with forward flows.

Combining or separating return flow goods with forward flow?

Isolating forward goods from reverse goods in warehouses to prevent shipping errors?

Designated holding areas, “QA Jail” Deciding when to use new or recycled parts? Organization of labor? When should products be repaired?

Repair, Scrap, Send back to OEM

Page 11: RL Networks Presentation

Types of Decisions (cont’d)

Operational Production Scheduling Assignment of Labor Disassembly and reassembly

Page 12: RL Networks Presentation

Example Problem Closed-loop logistics model for remanufacturing

Closed-loop – forward flows are closely related to reverse flows

Model involves both inventory costs, facility location, and transportation

Remanufacturing is both environmentally and economically friendly in the re-use of returned products

Cores = returned used products Source: Jayaraman, V., et.al. (1999). A closed-loop logistics

model for remanufacturing. Journal of the Operational Research Society, 50:497-508.

Page 13: RL Networks Presentation

Example Problem (cont’d) Parameters

dik

Page 14: RL Networks Presentation

Example Problem (cont’d) Decision variables

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Example Problem (cont’d) Objective Function Minimize costs

Inventory holding Facility Location Transportation

Page 16: RL Networks Presentation

Example Problem (cont’d) Constraints

(1) Total number of remanufactured products does not exceed the demand

(2) Total number of remanufactured products is less than the total cores of the product brought into the facility.

Page 17: RL Networks Presentation

Example Problem (cont’d)

(3) Product storage capacity constraint

(4) Core storage capacity constraint

(5) Total number of facilities is less than P

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Example Problem (cont’d)

(6) Restricts the amount of cores that can be supplied from a collection zone

(7) Non-negativity

(8) Binary (yes/no) decision variable Zj

Page 19: RL Networks Presentation

Example Problem (cont’d) How is the problem solved?

Can be solved with LP solvers (GLPK) Commercial Solvers (CPLEX)

Because these problems can get large in a hurry, commercial solvers are necessary due to the # of variables

Interfaces with C++ Uses the simplex method much like other LP

solvers Heuristics also used due to the size of these

problems.

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Questions?

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