Toward the development of process plans with reduced environmental impacts
Received date: 05 Apr 2012
Accepted date: 08 Jun 2012
Published date: 05 Sep 2012
Copyright
Manufacturing process planning serves as a pivotal link between design and manufacturing. Process planning decisions play a critical role in determining the cost and environmental impacts associated with manufacturing. Past efforts to address environmental issues during process planning are briefly reviewed and potential approaches that can achieve reduced environmental impacts are then discussed. A proposed method is presented for environmentally conscious process planning. The method begins with an existing process plan, and then identifies impactful process steps, and associated design features, in terms of manufacturing cost and environmental impact. Alternative processes that can achieve these features are then considered to generate alternative process plans. These alternatives are then evaluated in terms of economic and environmental performance. The results of these evaluations are then used to generate a set of process plans that are non-dominated with respect to manufacturing cost and environmental impact objectives to produce a Pareto frontier. The proposed method is demonstrated using the manufacturing of a prosthetic hip shell as a case study.
Fu ZHAO , Vance R. MURRAY , Karthik RAMANI , John W. SUTHERLAND . Toward the development of process plans with reduced environmental impacts[J]. Frontiers of Mechanical Engineering, 0 , 7(3) : 231 -246 . DOI: 10.1007/s11465-012-0334-3
1 |
Bloom D E. 7 billion and counting. Science, 2011, 333(6042): 562-569
|
2 |
Goklany I M. Have increases in population, affluence and technology worsened human and environmental well-being? Electronic Journal of Sustainable Development, 2009, 1(3): 1-26
|
3 |
Gutowski T G. Manufacturing and the science of sustainability. Glocalized Solutions for Sustainability in Manufacturing, 2011, 32-39
|
4 |
Schipper M. Energy-related carbon dioxide emissions in U.S. manufacturing, U.S. Energy Information Administration, DOE/EIA-0573(2005)
|
5 |
Haapala K R, Zhao F, Camelio J, Sutherland J W, Skerlos S J, Dornfeld D, Jawajir I S, Zhang H C, Clarens A F. A review of engineering research in sustainable manufacturing. In: Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference, 2011, 599-619
|
6 |
Ramani K, Ramanujan D, Bernstein W, Zhao F, Sutherland J, Handwerker C, Choi J, Kim H, Thurston D. Integrated sustainable life cycle design: A review. Journal of Mechanical Design, 2010, 132(8): 091004-15
|
7 |
Kalpakijian S, Schmid S. Manufacturing Engineering and Technology, <BibVersion>4th Ed</BibVersion>. New Jersey: Prentice Hall, 2001
|
8 |
Scallan P. Process Planning: The Design/Manufacture Interface. Oxford: Butterworth-Heinemann, 2003
|
9 |
Niebel B W. Mechanized process selection for planning new designs. ASME 33rd Annual Meeting Collected Papers, 65(4): 737
|
10 |
Denkena B, Shpitalni M, Kowalski P, Molcho G, Zipori Y. Knowledge management in process planning. CIRP Annals-Manufacturing Technology, 2007, 56(1): 175-180
|
11 |
Xu X, Wang L H, Newman S T. Computer-aided process planning-a critical review of recent developments and future trends. International Journal of Computer Integrated Manufacturing, 2011, 24(1): 1-31
|
12 |
Weill R, Spur G, Eversheim W. Survey of computer-aided process planning systems. CIRP Annals-Manufacturing Technology, 1982, 31(2): 539-551
|
13 |
Alting L, Zhang H C. Computer aided process planning: the state-of-the-art survey. International Journal of Production Research, 1989, 27(4): 553-585
|
14 |
ElMaraghy H A. Evolution and future perspectives of CAPP. CIRP Annals-Manufacturing Technology, 1993, 42 (2):739-751
|
15 |
Leung H C. Annotated bibliography on computer aided process planning. The International Journal of Advanced Manufacturing Technology, 1996, 12(5): 309-329
|
16 |
Marri H B, Gunasekaran A, Grieve R J. Computer-aided process planning: A state of art. The International Journal of Advanced Manufacturing Technology, 1998, 14(4): 261-268
|
17 |
Azab A, ElMaraghy H A. Mathematical modeling for reconfigurable process planning. CIRP Annals-Manufacturing Technology, 2007, 56(1): 467-472
|
18 |
Zhang W, Xie S. Agent technology for collaborative process planning: A review. The International Journal of Advanced Manufacturing Technology, 2007, 32(3,4): 315-325
|
19 |
United Nations. Report of the world commission on environment and development: Our common future, 1987
|
20 |
Gutowski T, Murphy C, Allen D, Bauer D, Bras B, Piwonka T, Sheng P, Sutherland J, Thurston D, Wolff E. Environmentally benign manufacturing: Observations from Japan, Europe and the United States. Journal of Cleaner Production, 2005, 13(1): 1-17
|
21 |
Jovane F, Yoshikawa H, Alting L, Boër C R, Westkamper E, Williams D, Tseng M, Seliger G, Paci A M. The incoming global technological and industrial revolution towards competitive sustainable manufacturing. CIRP Annals- Manufacturing Technology, 2008, 57(2): 641-659
|
22 |
Westkamper E, Alting A, Arndt. Life cycle management and assessment: Approaches and visions towards sustainable manufacturing. CIRP Annals-Manufacturing Technology, 2000, 49(2): 501-526
|
23 |
Sheng P, Srinivasan M, Kobayashi S. Multi-objective process planning in environmentally conscious manufacturing: a feature-based approach. CIRP Annals-Manufacturing Technology, 1995, 44(1): 433-437
|
24 |
Munoz A A, Sheng P. An analytical approach for determining the environmental impact of machining processes. Journal of Materials Processing Technology, 1995, 53(3,4): 736-758
|
25 |
Srinivasan M, Sheng P. Feature-based process planning for environmentally conscious machining, part 1: Microplanning. Robotics and Computer-Integrated Manufacturing, 1999, 15(3): 257-270
|
26 |
Srinivasan M, Sheng P. Feature-based process planning in environmentally conscious machining, part 2: Macroplanning. Robotics and Computer-Integrated Manufacturing, 1999, 15(3): 271-281
|
27 |
Krishnan N, Sheng P S. Environmental versus conventional planning for machined components. CIRP Annals-Manufacturing Technology, 2000, 49(1): 363-366
|
28 |
Jin K, Balasubramaniam P. A fuzzy model for environmental benign process planning selection. In: Proceedings of Environmentally Conscious Design and Inverse Manufacturing, Japan, 2003, 731-732
|
29 |
Jin K, Zhang H C, Balasubramaniam P, Nage S. Multi-objective tooling optimization for sustainable. International Journal of Engineering Research and Applications, 2012, 2(1): 853-862
|
30 |
Jin K, Zhang H C, Balasubramaniam P, Nage S. A multiple objective optimization model for environmental benign process planning. In: Proceedings of 16th International Conference on Industrial Engineering and Engineering Management, China, 2009, 869-873
|
31 |
He Y, Liu F, Cao H J, Zhang H. Process planning support system for green manufacturing. Frontiers of Mechanical Engineering in China, 2007, 2(1): 104-109
|
32 |
Tan X C, Liu F, Liu D C, Zheng L, Wang H Y, Zhang Y H. Research on the diagnosis and improvement method of a process route in an enterprise production process route in terms of sustainable development III. International Journal of Advanced Manufacturing Technology, 2007, 33(11-12): 1256-1262
|
33 |
Singh S, Goodyer J, Popplewell K. Integrated environmental process planning for the design and manufacture of automotive components. International Journal of Production Research, 2007, 45(18-19): 4189-4205
|
34 |
Singh A, Lou H. Hierarchical Pareto optimization for the sustainable development of industrial ecosystems. Industrial & Engineering Chemistry Research, 2006, 45(9): 3265-3279
|
35 |
Haapala K, Rivera J, Sutherland J W. Environmentally responsible process selection via life cycle analysis. In: Proceedings of International Symposium on Flexible Automation, Japan, 2006
|
36 |
Haapala K R, Rivera J L, Sutherland J W. Application of life cycle assessment methods to sustainable product design and manufacturing. International Journal of Innovative Computing: Information and Control, 2008, 4(3): 575-589
|
37 |
Jiang Z G, Zhang H, Sutherland J W. Development of an environmental performance assessment method for manufacturing process plans. The International Journal of Advanced Manufacturing Technology, 2012, 58(5): 783-790
|
38 |
Schrems S, Eisele C, Abele E. Methodology for an energy and resource efficient process chain design. Glocalized Solutions for Sustainability in Manufacturing, 2011: 299-304
|
39 |
Reinhart G, Reinhardt S, Fockerer T, Zah M F. Comparison of the resource efficiency of alternative process chain for surface hardening. Glocalized Solutions for Sustainability in Manufacturing, 2011, 311-316
|
40 |
Weinert N, Chiotellis S, Seliger G. Methodology for planning and operating energy-efficient production systems. CIRP Annals-Manufacturing Technology, 2011, 60(1): 41-44
|
41 |
Herrmann C, Thiede S. Synergies from process and energy oriented process chain simulation—A case study from aluminum die casting industry. In: Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Springer, 2011, 317-322
|
42 |
Schmitt R, Bittencourt J L, Bonefeld R. Modeling machine tools for self-optimisation of energy consumption. Glocalized Solutions for Sustainability in Manufacturing, 2011, 253-257
|
43 |
Eisele C, Scherems S, Abele E. Energy-efficient machine tools through simulation in the design process. Glocalized Solutions for Sustainability in Manufacturing, 2011, 258-262
|
44 |
Diaz N. Redelsheimer, Dornfeld D. Energy consumption characterization and reduction strategies for milling machine tool use. Glocalized Solutions for Sustainability in Manufacturing, 2011, 263-267
|
45 |
Li W, Zein A, Kara S, Herrmann C. An investigation into fixed energy consumption of machine tools. Glocalized Solutions for Sustainability in Manufacturing, 2011, 268-273
|
46 |
Zein A, Li W, Herrmann C, Kara S. Energy efficiency measures for the design and operation of machine tools: an axiomatic approach. Glocalized Solutions for Sustainability in Manufacturing, 2011, 274-279
|
47 |
Abele E, Sielaff T, Schiffler A, Rothenbucher S. Analyzing energy consumption of machine tool spindle units and identification of potential for improvements of efficiency. Glocalized Solutions for Sustainability in Manufacturing, 2011, 280-285
|
48 |
Anderberg S, Beno T, Pejryd L. Energy and cost efficiency in CNC machining from a process planning perspective. In: Proceedings of 9th Global Conference on Sustainable Manufacturing, Saint Petersburg, Russia, 2011, 383-389
|
49 |
Kara S, Li W. Unit process energy consumption models for material removal processes. CIRP Annals-Manufacturing Technology, 2011, 60(1): 37-40
|
50 |
Neugebauer R, Hochmuth C, Schmidt G, Dix M. Energy efficiency process planning based on numerical simulations. Advanced Materials Research, 2011, 212-221
|
51 |
Gong Y Q, Ma L X. Research on estimation of energy consumption in machining process based on CBR. In: Proceedings of 18th Industrial Engineering and Engineering Management, China, 2011, 334-338
|
52 |
Allen B. On process planning with multiple agents: environmentally conscious decisions among feasible process plans. In: Proceedings of Environmentally Conscious Design and Inverse Manufacturing, Japan, 2001, 471-476
|
53 |
Guinée J B, Heijungs R, Huppes G, Zamagni A, Masoni P, Buonamici R, Ekvall T, Rydberg T. Life cycle assessment: past, present, and future. Environmental Science & Technology, 2011, 45(1): 90-96
|
54 |
Halog A, Manik Y. Advancing integrated systems modeling framework for life cycle sustainability assessment. Sustainability, 2011, 3(2): 469-499
|
55 |
EPA. Life Cycle Assessment: Principles and Practice, EPA/600/R-06/060, 2006
|
56 |
Guinee J B. Handbook on Life Cycle Assessment: Operational Guide to the ISO Standards. New York: Springer, 2002
|
57 |
International Organization for Standardization. Environmental management —Life cycle assessment—Principles and framework, ISO 14040, 1997
|
58 |
International Organization for Standardization. Environmental management —Life cycle assessment—Principles and framework, ISO 14040, 2006
|
59 |
Bare J C. TRACI 2.0: The tool for the reduction and assessment of chemical and other environmental impacts. Clean Technologies and Environmental Policy, 2011, 13(5): 687-696
|
60 |
Goedkoop M J, Heijungs R, Huijbregts M, De Schryver A, Struijs J, Van Zelm R. A life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level; Report I: Characterisation; 2009, http://www.lcia-recipe.net
|
61 |
European Commission, Joint Research Centre, Institute for Environment and Sustainability. International Reference Life Cycle Data System (ILCD) Handbook: Recommendations for Life Cycle Impact Assessment in the European Context. 1st ed, 2011
|
62 |
Frischknecht R, Jungbluth N, Althaus H J, Bauer C, Doka G, Dones R, Hischier R, Hellweg S, Humbert S, Köllner T, Loerincik Y, Margni M, Nemecek T. Implementation of life cycle impact assessment methods. Ecoinvent Report No. 3, Swiss Centre for Life Cycle Inventories, Dübendorf, 2007
|
63 |
Swiss centre for Life Cycle Inventories. Ecoinvent Data, 2010
|
64 |
National Renewable Energy Laboratory. U.S. Life Cycle Inventory Database Roadmap, DOE/GO-102009-2881, 2009
|
65 |
Hendrickson C T, Lave L B, Matthews H S. Environmental life cycle assessment of goods and services: An input-output approach. Resources for the Future Press, 2006
|
66 |
CO2PE! (cooperative effort on process emissions in manufacturing), http://www.mech.kuleuven.be/co2pe!/index.php
|
67 |
Kellens K, Dewulf W, Overcash M, Hauschild M Z, Duflou J R. Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO2PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description. The International Journal of Life Cycle Assessment, 2012, 17(1): 69-78
|
68 |
Manufacturing Unit Process Life-cycle Inventory Heuristics. http://cratel.wichita.edu/uplci/
|
69 |
Meier H, Shi X. A systematic approach to resource-efficient process planning for low-carbon manufacturing. In: Proceedings of 44th CIRP Conference on Manufacturing Systems, Madison, 2011
|
70 |
Sundaravaradan N, Marwah M, Shah A, Ramakrishnan N. Data mining approaches for life cycle assessment. In: Proceedings of IEEE International Symposium on Sustainable Systems and Technology (ISSST), USA, 2011, 1-6
|
71 |
Hedemann J, Meinshausen I. Ecoinvent 2000—Documentation EcoSpold, Swiss Centre for Life Cycle Inventories, 2008
|
72 |
IPCC. Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland, 2007
|
73 |
American academy of orthopaedic surgeons. Total Hip Replacement, 2009, http://orthoinfo.aaos.org/topic.cfm?topic=a00377
|
74 |
Ulrich K, Eppinger S. Product Design and Development. New York: McGraw-Hill, 2007
|
75 |
Dieter G. Engineering Design: A Materials and Processing Approach. <BibVersion>3rd Ed</BibVersion>. New York: McGraw-Hill, 2000
|
76 |
US EPA. The Emissions & Generation Resource Integrated Database, http://www.epa.gov/cleanenergy/energy-resources/egrid/index.html
|
77 |
Goonan T. Titanium recycling in the United States in 2004. U.S. Department of the Interior: U.S. Geological Survey, 2010
|
78 |
Skerlos S J, Hayes K F, Clarens A F, Zhao F. Current advances in sustainable metalworking fluids research. International Journal of Sustainable Manufacturing, 2008, 1(1,2): 180-202
|
79 |
Zhao F, Bernstein W Z, Naik G, Cheng G J. Environmental assessment of laser assisted manufacturing: case studies on laser shock peening and laser assisted turning. Journal of Cleaner Production, 2010, 18(13): 1311-1319
|
80 |
Wilson M, Piya C, Murray V, Shin Y, Zhao F, Ramani K. Laser-based remanufacturing of engineering components and its environmental impact analysis. In: Proceedings of 30th International Congress on Applications of Lasers & Electro-Optics, Orlando, 2011
|
81 |
Craft R C, Leake C. The Pareto principle in organizational decision making. Management Decision, 2002, 40(8): 729-733
|
82 |
Marler R, Arora J. Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 2004, 26(6): 369-395
|
/
〈 | 〉 |