Abstract
This research aims at integrating a green perspective into manufacturing operations of companies through a new sustainable performance objective. The paper highlights the current trends in green and sustainable manufacturing and lines up different options for supporting this in current Advanced Planning and Scheduling Systems. Finally, requirements for future APS functionality is presented.
Keywords
- Green
- Sustainable
- Manufacturing
- Planning
- Advanced Planning and Scheduling Systems
- APS
- Optimisation
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References
Beamon, B.M.: Designing the green supply chain. Logistics Information Management 12(4), 332–342 (1999)
World Economic Forum, “The Green Investment Report The ways and means to unlock private finance for green growth” (2013)
de Burgos Jiménez, J., Lorente, J.: Environmental performance as an operations objective. International Journal of Operations & Production Management 21(12), 1553–1572 (2001)
Srivastava, S.K.: “Green supply-chain management - A state-of-the-art literature review”. International Journal of Management Reviews (2007)
Sarkis, J., Qinghua, Z., Kee-Hung, L.: An organizational theoretic review of green supply chain management literature. International Journal - Production Economics 130(2011), 1–15 (2010)
Slack, N., Chambers, S., Johnston, R.: Operations Management. 5. Prentice Hall (2007)
Deif, A.M.: A system model for green manufacturing. Journal of Cleaner Production 19, 1553–1559 (2011)
Dornfeld, D.A.: Green Manufacturing: Fundamentals and Applications. Springer, New York (2013)
Bunse, K., Vodicka, M., Schönsleben, P., Brülhart, M., Ernst, F.: Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature. Journal of Cleaner Production 19(6-7), 667–679 (2011)
Brundtland Commission, i.e. World Commission on Environment and Development, WCED (1993)
Manzan, R., Miyake, D.: A Study on Alternative Approaches to Instill Environmental Concerns in the Domain of Production Management of Industrial Firms. Journal of Technology management & Innovation 8(3), 198–207 (2013)
Despeisse, M., Ball, P.D., Evans, S., Levers, A.: Industrial ecology at factory level – a conceptual model. Journal of Cleaner Production 13, 30–39 (2012)
Garetti, M., Taisch, M.: Sustainable manufacturing: trends and research challenges. Production Planning and Control 23(2-3), 88–104 (2012)
US Toxic Release Inventory Program. Last accedes (June 2014), http://www2.epa.gov/toxics-release-inventory-tri-program/2011-tri-national-analysis
Klassen, R.D., Whybark, D.C.: The impact of environmental technologies on manufacturing performance. Academy of Management Journal 42(6), 599–614 (1999)
Melnyk, S.A., Sroufe, R.P., Montabon, F.L., Hinds, J.: International Journal Production Research 39(8), 1559–1573 (2001)
Silver, E., Pyke, D., Petersen, R.: Inventory management and production planning and scheduling. John Wiley & Sons (1998)
Jacobs, F., Weston, F.C.: Enterprise resource planning (ERP) - A brief history. Journal of Operations Management 31, 357–363 (2007)
Hvolby, H.-H., Steger-Jensen, K.: Technical and Industrial Issues of Advanced Planning and Scheduling (APS) Systems. Computers in Industry 61(9), 845–851 (2010)
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Steger-Jensen, K., Dreyer, H., Hvolby, HH., Standhagen, O. (2014). Towards a Green and Sustainable Manufacturing Planning and Control Paradigm Using APS Technology. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds) Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. APMS 2014. IFIP Advances in Information and Communication Technology, vol 439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44736-9_54
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DOI: https://doi.org/10.1007/978-3-662-44736-9_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44735-2
Online ISBN: 978-3-662-44736-9
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