Authors: Tigist Fetene Adane; Mihai Nicolescu
Addresses: Department of Production Engineering, Royal Institute of Technology, Division of Machine and Process Technology, Brinellvägen 68, 100 44 Stockholm, Sweden ' Department of Production Engineering, Royal Institute of Technology, Division of Machine and Process Technology, Brinellvägen 68, 100 44 Stockholm, Sweden
Abstract: Our life is strongly linked with the usage of natural resources. With increase in world population and welfare there is an increasing global demand for raw material. Energy is a necessity in everyday life and is often generated using non-renewable natural resources which are finite. Manufacturing is one of the largest energy and material resource consumers. There is great concern about minimising consumption of energy in manufacturing industry to sustain the natural carrying capacity of the ecosystem. This is one of the challenges in today's industrial world. The paper presents the application of system dynamics theory for modelling and simulation of complex manufacturing processes. The simulations help to understand the intricate nature of the interrelation of process parameter and to make sound decision about minimising the energy losses. Two case studies are presented, one in cylinder head casting processes and the other in crankshaft machining. The developed models provide an insight into how to select critical operations and to identify the effect of various parameters on the energy consumption. Also, the models help to understand how changes of parameters over time affect the behaviour of energy changes. The outcome of this research enables the company to identify potential avenues to minimise energy usage and offers a decision support tool. [Received 3 June 2013; Revised 31 August 2013; Accepted 13 October 2013]
Keywords: system dynamics; sustainable manufacturing; energy efficient manufacturing; energy consumption; crankshaft machining; cylinder head casting; energy usage; case studies; automotive manufacturing; automobile industry; modelling; simulation; energy efficiency.
International Journal of Manufacturing Research, 2014 Vol.9 No.2, pp.131 - 156
Published online: 29 Jul 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article