Sustainability Optimization in Manufacturing Enterprises

Published Date
Procedia CIRP
2015, Vol.26:504–509, doi:10.1016/j.procir.2014.07.085
12th Global Conference on Sustainable Manufacturing – Emerging Potentials
Open Access, Creative Commons license

• Author 

• Ibrahim H. Garbie ^,,

• Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Oman and Department of Mechanical Engineering at Helwan, Helwan University, Helwan, Cairo, Egypt

Received 2 March 2014. Revised 16 March 2014. Accepted 14 July 2014. Available online 27 March 2015. 

Abstract

Nowadays and based on the globalization in the markets, optimization in manufacturing enterprises is strongly recommended and addressed to identify the time and cost to be sustainable. Although there are several issues/aspects that must be incorporated to achieve the targeted sustainability index, optimizing these indexes still need more attention from academicians and practitioners. The main goal of this paper is to optimize the sustainability index taking into consideration time and cost criteria. To achieve this goal, sustainability models were developed based on two mathematical formulations: minimum sustainable time and minimum sustainable cost. These sustainability optimization models are taken into consideration the triple bottom line (TBL): economic; social and environmental aspects and their associated issues/aspects.

Keywords

Sustainability

optimization 

manufacturing enterprises

---

References

1. • [1]
   • Garetti M, and Taisch M. Sustainable manufacturing: trends and research challenges. Production Planning and Control, 2012; 23: No. 2-3, 83-104.
2. • [2]
   • Agustiady T and Badiru AB. Sustainability –utilizing lean six sigma techniques. CRC Press (p.18), 2013, Boca Raton, FL, USA.
3. • [3]
   • Garbie IH. An analytical technique to model and assess sustainable development index in manufacturing enterprises. International Journal of Production Research, 2014; 52: No. 16, 4876-4915.
4. • [4]
   • Liu S Leat M and Smith MH, State-of-the-art sustainability analysis methodologies for efficient decision support in green production operations. International Journal of Sustainable Engineering, 2011; 4: No.3, 236-250.
5. • [5]
   • Gunasekaran A and Spalanzani A. Sustainability of manufacturing and services: investigations for research and application. International Journal of Production Economics, 2011; 140, No. 1, 35-47.
6. • [6]
   • Rosen MA. Engineering sustainability: a technical approach to sustainability. Sustainability, 2012; 4: 2270-2292.
7. • [7]
   • Garbie IH. DFSME: design for sustainable manufacturing enterprises (an economic viewpoint). International Journal of Production Research, 2013; 51, No. 2, 479-503.
8. • [8]
   • Labuschagne C and Brent AC. An industry perspective of the completeness and relevance of a social assessment framework for project and technology management in the manufacturing sector. Journal of Cleaner Production, 2008; 19: 253-262.
9. • [9]
   • Egbue O. Assessment of social impacts of lithium for electric vehicle batteries. Proceedings of the 2012 on Ind. and Systems Eng. Re. Conf., Orlando, Florida, USA, May 18-22, 2012.
10. • [10]
    • Cagno E Micheli GJL and Trucco P Eco-efficiency for sustainable manufacturing: an extended environmental costing method. Production Planning and Control, 2012; 23: No.2/3, 134-144.
11. • [11]
    • Tseng ML Divinagracia L and Divinagracia R Evaluating firm's sustainable production indicators in uncertainty. Computers and Industrial Engineering, 2009; 57: 1393-1403.
12. • [12]
    • Labuschagne C Brent AC and Erck RP. Assessing the sustainability performances of Industries. Journal of Cleaner Production, 2005; 13: 373-385.
13. • [13]
    • Azapagic A. Developing a framework for sustainable development indictors for the mining and minerals industry. Journal of Cleaner Production, 2004; 12: 639-662.
14. • [14]
    • Kannegiesser M and Gunther H-O. Sustainable development of global supply chains-Part 1: sustainability optimization framework. Flexible Service Manufacturing Journal, 2014; 26: 24-47.

• ☆
  Peer-review under responsibility of Assembly Technology and Factory Management/Technische Universität Berlin.

• ⁎ 
  Tel.: +968-98106652; fax: +968-24141365.

Copyright © 2015 The Authors. Published by Elsevier B.V.

For further details log on website :
http://www.sciencedirect.com/science/article/pii/S2212827114008981