Authors: C. Sowmya Danalakshmi; G. Mohan Kumar; M. Gopalan
Addresses: Department of Mechanical Engineering, P.A. College of Engineering and Technology, Pollachi – 642 002, Coimbatore, Tamil Nadu, India. ' Park College of Engineering and Technology, Kaniyur, Coimbatore – 641 659, Tamil Nadu, India. ' Faculty of Management, Multimedia University, Persiaran Multimedia, 63100, Cyberjaya, Selangor Darul Ehsan, Malaysia
Abstract: Supply chain management is an important management paradigm as it helps to develop mechanisms, align their objectives and coordinate their activities to optimise system performance. Enterprises today have realised the importance of supply chain management to achieve operational efficiency and product quality. Here, the total operating cost of an organisation is reduced by optimisation considering various constraints through generic model validation. The stages of the supply chain network are suppliers, plants, distribution centres and retailers. The optimal solution is obtained by using genetic algorithm and particle swarm optimisation techniques. Then, the results were compared, monitored and are submitted to variation with real-time environment.
Keywords: generic modelling; supply chain management; SCM; suppliers; manufacturers; supply chain networks; total operating costs; non-traditional techniques; cost minimisation; supply chain optimisation; genetic algorithms; particle swarm optimisation; PSO.
International Journal of Logistics Economics and Globalisation, 2012 Vol.4 No.1/2, pp.76 - 98
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 03 Jun 2012 *