Project SLOPE1

T 2.5 – Road and Logistic planning

Trento, January 8th, 2014

Index2

1. Task objectives

2. Approaches for sites location and flow allocation decisions

3. Approaches to estimate traffic in existing roads

4. Proposed work plan

5. Contact info

1. Task objectives3

Task objectives:

Identify and analyze logistics elements within the forest and their characteristics for site locations and flow allocation decisions

Integration of the data with the global forest model Build and validate and Optimization model to allocate landings with the mills and

plants Build a model to estimate traffic on individual sections for road maintenance and

construction purposes

To be developed from M8 to M13

Includes development of “D2.05 Road and logistic simulation module” Due to Month 13.

Partners involved: all ITENE (leader), GRAPHITECH, CNR, BOKU, FLY

2. Approaches for sites location and flow allocation decisions

4

The goal is to determine an optimal (minimum cost) forest logistic network to respond future demands

The approach should determine: Location of facilities (specially for new requirements) Size an capacity of facilities (storage areas and processing sites) Volume to harvest in every landing and stand area Volume of timber to transport from landings to facilities (it gives a

first estimation of road traffic for road planning) Volume of product to transport from facilities to demand sites

The model should consider inputs like location of landing áreas, intermediate sites (storage, buffers), processing sites, demand sites, demand volumes, routes, type of routes and distances between theses sites.

2. Approaches for sites location and flow allocation decisions

5

Location of a single facility by center-of-gravity method

Output: XY coordinates for the facility Optimization based only on distances Binary model (source-sink) Useful for a first estimation of a facility location

to be supplied from specific lands

2. Approaches for sites location and flow allocation decisions

6

Location of selected number of facilities by the exact center-of-gravity method

Output: XY coordinates of a selected number of facilities

Optimization based only on distances Binary model (source-sink) Useful for a first estimation of 2 or more

facility locations to be supplied from specific lands

2. Approaches for sites location and flow allocation decisions

7

P-median multiple facility location Output: selected facilities from a list of

candidate sites receiving flows from other sites Optimization based on transport costs and fix

costs, but lack of capacity constrains and other inventory costs

Binary model (source-sink) Useful for a first estimation of 2 or more facility

locations to be supplied from specific lands

2. Approaches for sites location and flow allocation decisions

8

Mixed integer linear programming problem

Output: selected facilities and optimal flows between nodes

Optimization based on transport costs and fix costs, capacity constrains and inventory costs

Three stages model More appropriate approach for a network with

more than 2 node types

lands in forest

storage and facilities

(saw, mills, biomass)

Demand sites

2. Approaches for sites location and flow allocation decisions

9

Dynamic linear programming Consider changing demand Output:

Selected facilities Size an capacity of facilities (storage and processing sites) Volume of harvest in every landing and stand área Volume to transport:

Timber from landings to facilities Product from facilities to demand sites

Decision to expand production capacity in a specific period in the planning horizon

Minimize total costs for timber supply and transport, investment and operational costs, product transport cost to demand sites, fixed cost for capacity expansion

1 2 3 4 5 6 7 -

200

400

600

800

1,000

1,200

Period Demand Volume

lands in forest

storage and

facilities (saw, mills,

biomass)

Demand sites

(normally cities)

2. Approaches for sites location and flow allocation decisions

10

Previous Work

Facilities Location Models: An Application for the Forest Production and Logistics

JUAN TRONCOSO T. 1, RODRIGO GARRIDO H. 2, XIMENA IBACACHE J. 3

July 2002

1 Departamento de Ciencias Forestales, Pontificia Universidad Católica de Chile, Casilla 305, Correo 22, Santiago, Chile. E-mail: jtroncot@puc.cl

2 Departamento de Ingeniería de Transporte, Pontificia Universidad Católica de Chile. 3 Escuela de Ingeniería Forestal, Universidad Mayor.

2. Approaches for sites location and flow allocation decisions

11

StandCable ways

forest lanes

2. Approaches for sites location and flow allocation decisions

12

minor road

main road

land

land

land

stand

stand

stand

2. Approaches for sites location and flow allocation decisions

13

Solution flow

Possible flow

lands in forest storage and facilities (saw, mills, biomass)

Demand sites(normally cities)

2. Approaches for sites location and flow allocation decisions

14

INPUTS Demands of product per each period and type of quality from demand site

DATA COLLECTION FOR THE MODEL Positions of stands, lands, storage areas, processing sites (saw, paper mills and

biomass heating and power plants), demand sites Volume available to harvest in every stand per quality of timber and destination (saw,

mill or energy) Position for stand respect existing roads Slope or grade of difficulty to access Capacity of ground to support specific machinery Size and availability of skyline deployment sites Capacity and location of storage areas and buffers, and processing sites Characteristics of processing sites and conversion facilities Distances between different nodes

2. Approaches for sites location and flow allocation decisions

15

COST FACTORS supply and transport operational costs final product transport cost to demand sites fixed cost for capacity expansion during the planning horizon investment associated to construction of a new site

OUTPUT Selected facilities Size an capacity of facilities (storage and processing sites) Volume of harvest in every landing and stand área Volume to transport

Timber from landings to facilities Product from facilities to demand sites

Decision to expand production capacity in a specific period in the planning horizon

3. Approaches to estimate traffic in

existing roads

16

Once the different sites and locations have been selected, and flows between sites have been determined for each future period,

A Logistics Resource Planning Model will be used to determine the volume to harvest in every period in every land, processing and transport means, and a more precise estimation of traffic in every individual sections of road in terms of number of trip per vehicles type (size, weight) in each period

This traffic estimation will allow to define plans for road maintenance and construction in the forest area, taking into account the capability of roads to accept trucks and cranes of different weights and sizes

3. Approaches to estimate traffic in

existing roads

17

Similarities to DRP method

Land 1

SITE: Saw Plant X

City 1

Product demandHarvest orders

Land 2 City 2

3. Approaches to estimate traffic in

existing roads

18

SITE: Saw Plant X Minumum Batch (harvest) (m3/period) 500

Lead time (number of periods) 1

Safety stock (m3) 200

Period 1

2

3

4

5

6

7

Demand Volume (m3) 400 500 600 1.000 500 600 1.000 Available Stock (m3) 700 300 300 200 200 200 100 100 Harvest recepcion (m3) - 500 500 1.000 500 500 1.000 Harvest order launch (m3) 500 500 1.000 500 500 1.000 Land 1 To harvest (m3) 500 500 1.000 Available m3 in land 1 2.000 1.500 1.000 - Size of vehicle (m3) 10 Number of vehicle trips size 10m3 50 50 100 land 2 To harvest (m3) - - - 500 500 1.000 - Available m3 in land 1 3.000 2.500 2.000 1.000 1.000 Size of vehicle (m3) 10 Number of vehicle trips size 10m3 50 50 100 -

3. Proposed work plan19

Understand the forestry supply chain and logistic processes. Choose a real scenario (ITENE, BOKU)

Review literature and formulate an Optimization model for logistics site location and flow allocation decisions (BOKU)

Define a model to estimate traffic in existing roads (CNR)

Identify elements for the models:

Relevant logistics locations within the forest (GRAPHITECH, CNR, FLY, ITENE)

Gather info and contact with the different agents of the forest product processing (ITENE)

Define and analyze relevant characteristics of the logistics elements (ITENE)

Integration with the global forest model (ITENE)

Implement the Optimization model to allocate landings with the mills and plants and traffic calculation on individual sections (BOKU)

Validation of model with a real scenario (BOKU)

Implement the model for road planning based on the amount of timber to be transported and identification of traffic on existing forest infrastructure (CNR)

4. Contact info20

Emilio Gonzalez egonzalez@itene.com

Patricia Bellver pbellver@itene.com

21

Thanks for your attention!!!