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Berkeley UNIVERSITY OF CALIFORNIA / © 2011 LMAS contact email: Minimizing Cost and Environmental Impact of Product Manufacture Nancy Diaz [email protected] There are many options for manufacturing a part. Process planners must choose among numerous manufacturing processes, machine tools, cutting tools and process parameters. How do you optimize for lowest cost and environmental impact? Funding Sources: DTL/Mori Seiki, Ford Foundation Predoctoral Fellowship, UC Chancellor’s Fellowship Introduction Previous work has focused on process planning strategies for reduction of environmental impact Process planning system [1] Environmental burden calculator of machining [2] Parts typically require a range of manufacturing processes, so available facility resources should be accounted for Project objective: minimize cost and environmental impact at the facility level Background and Project Objective Manufacturing Cost Manufacturing Process Environmental Impact Facility Impacts Minimizing Cost and Environmental Impact Advantages and Limitations of Method Metrics: Process energy consumption Green House Gas (GHG) emissions Specific energy for the ith process Energy for ith process Total energy for part production Green House Gas (GHG) emissions Metrics: Machining cost Purchase cost amortized over lifetime of machine tool Labor rate of operator Cost of consumables (tooling, coolant, water, etc.) Maintenance cost (lubricating oil) Inventory cost Cost to transfer part between machining stations Total Manufacturing Cost Facility layout dictates the part’s transfer time between machine tools. Facility HVAC and lighting are non-negligible and can account for 40-65% of total use phase energy consumption for part production [3]. Facility impacts will therefore be amortized by machine tool and workspace footprint, f. Advantages: Simulation is less expensive than running test pieces. Cost and environmental impact do not necessarily have to have the same weight; weighting factor is user-defined. Specific energy model of a particular machine tool is used instead of aggregate machining data, so accuracy is increased. Comprehensive with the inclusion of facility HVAC and lighting impacts, components that are significant yet often ignored. Limitations: This project focuses on the macro-planning level, but cost and environmental impact improvements can also be made at the process level. Process Layout Specific Energy of Mori Seiki NV1500 DCG Milling Turning Grinding Drilling Storage Process Planning Decisions Constraints 1.) Manufacturing Process Workpiece Shape Feature Shape Feature Tolerance Surface Roughness 2.) Machine Tool Workpiece Size Feature Tolerance Surface Roughness 3.) Cu@ng Tools & Process Parameters Feature Size Feature Tolerance Surface Roughness Storage Storage Cellular Layout Product Layout Product A Product C Product D Product B Product Flow [3] Diaz, et. al., (2010), Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments 1000, 36% 14, 0% 1300, 47% 460, 17% Part Production Maintenance HVAC Lighting Energy Consumption During Use Phase of Mori Seiki DuraVertical 5060 in Community Shop (kJ/part) from [3] 1 2 3 4 5 6 7 1 2 3 4 5 Part’s Precedence Diagram 678 . 3 1 * 481 , 1 + = MRR e = = n i i process E E 1 process GHG process E c G * = i i i i b MRR a e + = 1 * i i i V e E * = State Variables Machining Energy Facility Energy Machining Cost Inventory Cost Transfer Cost Environmental Impact Energy Consumption GHG Emissions Part Process precedence Weighting factor Facility Transfer time HVAC & lighting specific energy GHG conversion Process M.R.R. f e e E light HVAC facility * ) ( + = facility GHG facility E c G * = Machine Tool Setup/process time Specific energy Footprint Manufacturing Cost Total Cost Outputs Inputs Optimal Plan for Part Manufacture T I n i M Total C C C C i + + = = 1 ) ( Environmental Process Planning System from [1] [1] Krishnan, et. al., (2000), Environmental versus conventional planning for machined components [2] Narita, et. al., (2008), Analysis of environmental impact due to machining operation Objective = min(C Total , E Total , G Total )

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Page 1: Minimizing Cost and Environmental Impact of Product ...lmas.berkeley.edu/posters/201112nancy-poster-2.pdf · Simulation is less expensive than running test pieces. Cost and environmental

BerkeleyUNIVERSITY OF CALIFORNIA /

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LM

AS

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mai

l: Minimizing Cost and Environmental Impact of Product Manufacture

Nan

cy D

iaz

ndia

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■  There are many options for manufacturing a part. Process planners must choose among numerous manufacturing processes, machine tools, cutting tools and process parameters.

■  How do you optimize for lowest cost and environmental impact?

Funding Sources: DTL/Mori Seiki, Ford Foundation Predoctoral Fellowship, UC Chancellor’s Fellowship

Introduction ■  Previous work has focused on process planning strategies for reduction of environmental impact ■  Process planning system [1] ■  Environmental burden calculator of

machining [2]

■  Parts typically require a range of manufacturing processes, so available facility resources should be accounted for

■  Project objective: minimize cost and environmental impact at the facility level

Background and Project Objective

Manufacturing Cost Manufacturing Process Environmental Impact

Facility Impacts

Minimizing Cost and Environmental Impact Advantages and Limitations of Method

■  Metrics: ■  Process energy consumption ■  Green House Gas (GHG) emissions

■  Specific energy for the ith process

■  Energy for ith process

■  Total energy for part production

■  Green House Gas (GHG) emissions

■  Metrics: ■ Machining cost ■ Purchase cost amortized over lifetime of machine tool

■ Labor rate of operator

■ Cost of consumables (tooling, coolant, water, etc.)

■ Maintenance cost (lubricating oil)

■  Inventory cost ■ Cost to transfer part between machining stations

■  Total Manufacturing Cost

■  Facility layout dictates the part’s transfer time between machine tools.

■  Facility HVAC and lighting are non-negligible and can account for 40-65% of total use phase energy consumption for part production [3].

■  Facility impacts will therefore be amortized by machine tool and workspace footprint, f.

■  Advantages: ■  Simulation is less expensive than running test pieces. ■  Cost and environmental impact do not necessarily have to

have the same weight; weighting factor is user-defined. ■  Specific energy model of a particular machine tool is used

instead of aggregate machining data, so accuracy is increased.

■  Comprehensive with the inclusion of facility HVAC and lighting impacts, components that are significant yet often ignored.

■  Limitations: ■  This project focuses on the macro-planning level, but cost and

environmental impact improvements can also be made at the process level.

Process Layout

Specific Energy of Mori Seiki NV1500 DCG

Milling Turning

Grinding Drilling

Storage

Process  Planning  Decisions Constraints 1.)  Manufacturing  Process Workpiece  Shape  

Feature  Shape  Feature  Tolerance  Surface  Roughness

2.)  Machine  Tool Workpiece  Size  Feature  Tolerance  Surface  Roughness

3.)  Cu@ng  Tools  &  Process  Parameters

Feature  Size  Feature  Tolerance  Surface  Roughness

Storage

Storage

Cellular Layout Product Layout

Product A

Product C

Product D

Product B

Product Flow

[3] Diaz, et. al., (2010), Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments

1000, 36%

14, 0%

1300, 47%

460, 17%

Part Production Maintenance HVAC Lighting

Energy Consumption During Use Phase of Mori Seiki DuraVertical 5060 in Community Shop (kJ/part) from [3]

1

2

3 4 5

6

7

1

2 3

4 5

Part’s Precedence Diagram

678.31*481,1 +=MRR

e

∑=

=n

iiprocess EE

1

processGHGprocess EcG *=

ii

ii bMRR

ae +=1*

iii VeE *=

State Variables ■  Machining Energy ■  Facility Energy ■  Machining Cost ■  Inventory Cost ■  Transfer Cost

Environmental Impact ■  Energy Consumption ■  GHG Emissions

Part ■  Process precedence ■  Weighting factor

Facility ■  Transfer time ■  HVAC & lighting

specific energy ■  GHG conversion

Process ■  M.R.R.

feeE lightHVACfacility *)( +=

facilityGHGfacility EcG *=

Machine Tool ■  Setup/process time ■  Specific energy ■  Footprint

Manufacturing Cost ■  Total Cost

Outputs Inputs

Optimal Plan for Part Manufacture

TI

n

iMTotal CCCCi

++=∑=1

)(

Environmental Process Planning System from [1]

[1] Krishnan, et. al., (2000), Environmental versus conventional planning for machined components

[2] Narita, et. al., (2008), Analysis of environmental impact due to machining operation

Objective = min(CTotal, ETotal, GTotal)