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Process Data set: Milo Family (en) en

Key Data Set Information
Location SE
Geographical representativeness description World Wide
Reference year 2025
Name
Milo Family
Technical purpose of product or process With its welcoming embrace and fluid lines MILO is a timeless armchair and footstool with a personality that’s sure to make it a discreet focus of attention in any room. The armchair comes in three models with a matching footstool. The design is characterised by clear, flowing lines, soft yet well-defined contours, a seat shell with an iconic form and a well-coordinated backrest that all combine to give the chair a distinctive identity that is very much at home in today’s design landscape. “MILO can adopt a range of different personalities and adapts easily to a wide variety of settings, purposes and conditions. It is ideal both as a solitaire for relaxation and reflection, and grouped to provide a setting for effective communication in open-plan offices, hotel lobbies or lounges,” say Böttcher & Kayser. During the manufacturing process considerable emphasis was placed on constructing an item of furniture with the potential to be simply re-used by easily replacing the covers if they become tired and worn. The padding on the outside of the arms is held firmly in place, but the inside is more loosely upholstered to accentuate the soft, welcoming qualities that invite users to linger a little longer. This declaration focuses on an in-depth study of Milo Low 03 The table on page 12 of this declaration provides the key environmental indicators for the other models within the product family
Classification
Class name : Hierarchy level
  • EPDNorge: Furniture / Soft seating
General comment on data set Data quality: Specific data for the product composition are provided by the manufacturer. They represent the production of the declared product and were collected for EPD development in the year of study. Background data is based on registered EPDs according to EN 15804, Ostfold Research databases, ecoinvent and other LCA databases. The data quality of the raw materials in A1 is presented in the table below. Fabric used in the calculation is Camira Oceanic, a 100% post-consumer recycled polyester A3 Data Collection (Production Phase) Data for the A3 module, encompassing the production phase, was collected in 2020. This data includes all relevant inputs and outputs associated with manufacturing processes. A4 Data Collection (Transport to Customer) Transport data for the A4 module was sourced from Trafa.se and reflects operations during the years 2021-2022. According to statistics from Trafikanalys, the average distance covered by a Swedish heavy-duty truck transporting furniture in domestic traffic was approximately 143 kilometers in 2022, with an average of 153 kilometers for the period 2012–2022. These values are based on representative industry conditions and account for the most recent data on logistics efficiency and route optimization. A5 Data (Packaging Disposal) For the A5 module, it is assumed that packaging materials are automatically handled and disposed of in alignment with standard waste management practices at this stage. This assumption aligns with typical end-of-life scenarios for packaging in regulated waste systems. Maintenance Data (B2 Module) Maintenance requirements are calculated based on typical cleaning scenarios over the product's lifespan, assumed to be 15 years: Vacuum cleaning: Energy consumption is calculated assuming a 900 W vacuum cleaner operating for 30 seconds per week over 15 years. Wet cleaning: Water consumption is estimated at 0.0005 m³ (equivalent to 0.5 liters) per cleaning session, with cleaning occurring once per week for 15 years. Allocation: The allocation is made in accordance with the provisions of EN 15804. Incoming energy and water and waste production in-house is allocated equally among all products through mass allocation. Effects of primary production of recycled materials is allocated to the main product in which the material was used. The recycling process and transportation of the material is allocated to this analysis. Cut-off criteria: All major raw materials and all the essential energy is included. The production processes for raw materials and energy flows with very small amounts (less than 1%) are not included. These cut-off criteria do not apply for hazardous materials and substances.
Copyright Yes
Owner of data set
Quantitative reference
Reference flow(s)
Biogenic carbon content
  • Carbon content (biogenic): 0.052272727325 kg
  • Carbon content (biogenic) - packaging: 1.73611111125 kg
Time representativeness
Data set valid until 2030
Time representativeness description 2025-01-23 - 2030-01-23
Technological representativeness
Technology description including background system Volume 0.46 m³ - (excluding packaging) Volume 0.51 m³ - (including packaging) Total height 80 cm Total width 80 cm Total depth 80 cm Seat height 42 cm Seat width 52 cm Seat depth 46 cm Complied with technical standards: EN 16139:2013 Furniture - Strength, durability and safety - Requirements for non-domestic seating Möbelfakta certified You can find all certifications and test results here: https://johansondesign.com/downloads/certificate

Indicators of life cycle

IndicatorDirectionUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
Input
  • 145.1
  • 0.08794
  • 0.01397
  • 17.07
  • 0.2354
  • 0
  • 0
  • 0.05227
  • 0.1385
  • 0.0354
  • -47.05
Input
  • 31.4
  • 0
  • -26.47
  • 0
  • 0
  • 0
  • 0
  • 0
  • -4.932
  • 0
  • 0
Input
  • 176.5
  • 0.08794
  • -26.46
  • 17.07
  • 0.2354
  • 0
  • 0
  • 0.05227
  • -4.793
  • 0.0354
  • -47.05
Input
  • 872.1
  • 6.144
  • 0.8487
  • 37.48
  • 2.768
  • 0
  • 0
  • 3.652
  • 4.856
  • 1.689
  • -20.69
Input
  • 183.4
  • 0
  • 0
  • 0
  • 0.7605
  • 0
  • 0
  • 0
  • -183.4
  • 0
  • 0
Input
  • 1055
  • 6.144
  • 0.8487
  • 37.48
  • 3.528
  • 0
  • 0
  • 3.652
  • -178.6
  • 1.689
  • -20.69
Input
  • 8.711
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Input
  • 1.054
  • 0.003146
  • 0.0004634
  • 0.09095
  • 0.008966
  • 0
  • 0
  • 0.00187
  • 0.003267
  • 0.000928
  • 0.04372
Input
  • 1.811
  • 0.01125
  • 0.00191
  • 0.2333
  • 0.002242
  • 0
  • 0
  • 0.006687
  • 0
  • 0.04809
  • -1.194
Input
  • 1.135
  • 0.000657
  • 0.0004004
  • 0.4305
  • 0.004094
  • 0
  • 0
  • 0.0003905
  • 0.01671
  • 0.001524
  • -0.06039
Output
  • 6.608
  • 0.0003168
  • 0
  • 0.07725
  • 0.0006295
  • 0
  • 0
  • 0.0001883
  • 0
  • 6.388
  • -0.007413
Output
  • 11.6
  • 0.2988
  • 3.75
  • 0.1423
  • 0.07354
  • 0
  • 0
  • 0.1776
  • 0.06
  • 0.1555
  • -0.7897
Output
  • 0.02593
  • 0.00004185
  • 0
  • 0.0005366
  • 0.000008862
  • 0
  • 0
  • 0.00002488
  • 0
  • 0.00001039
  • -0.00003969
Output
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
  • 0
Output
  • 0.04224
  • 0
  • 3.488
  • 0.01586
  • 0
  • 0
  • 0
  • 0
  • 1.992
  • 0
  • 0
Output
  • 0.0699
  • 0
  • 0.000005105
  • 0.0358
  • 0
  • 0
  • 0
  • 0
  • 12.55
  • 0
  • 0
Output
  • 0.04536
  • 0
  • 0.2145
  • 0.00004385
  • 0
  • 0
  • 0
  • 0
  • 6.104
  • 0
  • 0
Output
  • 0.6863
  • 0
  • 3.245
  • 0.0006634
  • 0
  • 0
  • 0
  • 0
  • 92.35
  • 0
  • 0

IndicatorUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
Abiotic depletion potential - fossil resources (ADPF)
  • 967.7
  • 6.143
  • 0.8486
  • 37.4
  • 2.767
  • 0
  • 0
  • 3.652
  • 4.85
  • 1.689
  • -20.7
Abiotic depletion potential - non-fossil resources (ADPE)
  • 0.01447
  • 0.00001122
  • 0.000001476
  • 0.00001593
  • 0.000003781
  • 0
  • 0
  • 0.000006671
  • 0.000002206
  • 0.000001261
  • -0.00002979
Acidification potential, Accumulated Exceedance (AP)
  • 0.3307
  • 0.001168
  • 0.0002873
  • 0.002858
  • 0.002087
  • 0
  • 0
  • 0.0006941
  • 0.009962
  • 0.0005297
  • -0.01205
Global Warming Potential - biogenic (GWP-biogenic)
  • -5.175
  • 0.0001682
  • 6.366
  • 0.007065
  • 0.0006421
  • 0
  • 0
  • 0.00009996
  • 0.1928
  • 0.00005788
  • -0.002299
Global Warming Potential - fossil fuels (GWP-fossil)
  • 65.49
  • 0.4063
  • 0.06066
  • 0.5181
  • 0.1596
  • 0
  • 0
  • 0.2415
  • 11.22
  • 0.08054
  • -2.049
Global Warming Potential - total (GWP-total)
  • 60.41
  • 0.4066
  • 6.426
  • 0.5447
  • 0.1603
  • 0
  • 0
  • 0.2417
  • 11.42
  • 0.08062
  • -2.072
Global Warming Potential - land use and land use change (GWP-luluc)
  • 0.08737
  • 0.0001446
  • 0.00002006
  • 0.01951
  • 0.000129
  • 0
  • 0
  • 0.00008596
  • 0.00007434
  • 0.00002265
  • -0.02026
  • 66.89
  • 0.4066
  • 0.06068
  • 0.544
  • 0.1603
  • 0
  • 0
  • 0.2417
  • 11.15
  • 0.0813
  • -2.773
Eutrophication potential - freshwater (EP-freshwater)
  • 0.004703
  • 0.000003246
  • 4.981E-7
  • 0.00003287
  • 0.000008077
  • 0
  • 0
  • 0.00000193
  • 0.000004359
  • 8.429E-7
  • -0.000138
Eutrophication potential - marine (EP-marine)
  • 0.07093
  • 0.0002311
  • 0.00009501
  • 0.0004838
  • 0.0001609
  • 0
  • 0
  • 0.0001373
  • 0.005532
  • 0.0001871
  • -0.002951
Eutrophication potential - terrestrial (EP-terrestrial)
  • 0.6596
  • 0.002584
  • 0.001029
  • 0.006117
  • 0.001684
  • 0
  • 0
  • 0.001536
  • 0.05309
  • 0.002073
  • -0.03105
Photochemical Ozone Creation Potential (POCP)
  • 0.2154
  • 0.00099
  • 0.0002957
  • 0.001547
  • 0.0006267
  • 0
  • 0
  • 0.0005885
  • 0.01264
  • 0.0005955
  • -0.01165
Depletion potential of the stratospheric ozone layer (ODP)
  • 0.000004204
  • 9.204E-8
  • 1.281E-8
  • 1.668E-7
  • 1.601E-8
  • 0
  • 0
  • 5.471E-8
  • 5.904E-8
  • 2.265E-8
  • -0.03764
Water (user) deprivation potential (WDP)
  • 3466
  • 5.942
  • 1.076
  • 3564
  • 9.908
  • 0
  • 0
  • 3.532
  • 14.78
  • 4.191
  • -72.32

IndicatorUnit Production
A1-A3
Transport
A4
Installation
A5
Maintenance
B2
Repair
B3
Replacement
B4
De-construction
C1
Transport
C2
Waste processing
C3
Disposal
C4
Recycling Potential
D
1This impact category deals mainly with the eventual impact of low dose ionizing radiation on human health of the nuclear fuel cycle. It does not consider effects due to possible nuclear accidents, occupational exposure nor due to radioactive waste disposal in underground facilities. Potential ionizing radiation from the soil, from radon and from some construction materials is also not measured by this indicator.
2The results of this environmental impact indicator shall be used with care as the uncertainties on these results are high or as there is limited experiences with the indicator.
Potential Human exposure efficiency relative to U235 (IRP) 1
  • 2.442
  • 0.02685
  • 0.003631
  • 1.207
  • 0.008887
  • 0
  • 0
  • 0.01596
  • 0.007734
  • 0.006847
  • -0.04733
Potential incidence of disease due to PM emissions (PM) 2
  • 0.000004241
  • 2.487E-8
  • 4.238E-9
  • 2.276E-8
  • 9.106E-9
  • 0
  • 0
  • 1.479E-8
  • 4.307E-8
  • 9.462E-9
  • -3.839E-7
Potential Soil quality index (SQP) 2
  • 348.6
  • 4.297
  • 0.5693
  • 16.32
  • 0.9577
  • 0
  • 0
  • 2.554
  • 0.5665
  • 3.74
  • -50.31
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc) 2
  • 0.000001742
  • 4.975E-9
  • 1.422E-9
  • 2.161E-8
  • 3.356E-9
  • 0
  • 0
  • 2.957E-9
  • 3.256E-8
  • 1.239E-9
  • 1.089E-7
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c) 2
  • 1.43E-7
  • 0
  • 3.4E-11
  • 9.97E-10
  • 4.26E-10
  • 0
  • 0
  • 0
  • 9.89E-10
  • 4.2E-11
  • -7.89E-9
Potential Comparative Toxic Unit for ecosystems (ETP-fw) 2
  • 2657
  • 4.554
  • 1.132
  • 22.59
  • 3.78
  • 0
  • 0
  • 2.707
  • 47.65
  • 1.124
  • -121.7