Title: Analysis of simulated annealing cooling schemas for design of optimal flexible layout under uncertain dynamic product demand
Authors: Akash Tayal; Surya Prakash Singh
Addresses: Department of Electronics and Communication, Indira Gandhi Delhi Technical University for Women, Delhi, India ' Department of Management Studies, Indian Institute of Technology, Delhi, India
Abstract: Manufacturing facilities are subjected to many uncertainties such as variability in demand, queuing delays, variable task times, rejects and machine breakdown. These volatilities have a large impact on leap time, inventory cost and delivery performance of a manufacturing unit. To operate efficiently the manufacturing facilities should adapt to these variations. The paper explores the way uncertainties are addressed in designing of flexible optimal layout. Such facility layout problem is known as stochastic dynamic facility layout problem (SDFLP). SDFLP is an NP-hard combinatorial optimization problem, which means the time taken to solve increases exponentially with problem size. To solve SDFLP, the paper presents an adaptation of simulated annealing (SA) meta-heuristic. Various SA cooling schemas are discussed, computed and evaluated for generating the optimal flexible layout. An optimal layout is one that minimises the distance travelled by materials taking into account uncertain product demand (material handling cost). A computer-based tool was developed and analysis was conducted on small to large size problem set. The results showed that SA with exponential cooling schedule provides better solution in terms of layout efficiency and gave better solution as compared to literature.
Keywords: facility layout; stochastic dynamic facility layout; simulated annealing; cooling schedule; meta-heuristic; modified simulated annealing; MSA.
International Journal of Operational Research, 2019 Vol.34 No.1, pp.85 - 103
Available online: 04 Dec 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article