A modified firefly algorithm for optimizing a multi stage supply chain network with stochastic demand and fuzzy production capacity

2019 ◽  
Vol 133 ◽  
pp. 42-56 ◽  
Author(s):  
Sasan Khalifehzadeh ◽  
M.B. Fakhrzad
Keyword(s):  
Supply Chain ◽  
Firefly Algorithm ◽  
Stochastic Demand ◽  
Production Capacity ◽  
Supply Chain Network ◽  
Multi Stage ◽  
Modified Firefly Algorithm

scholarly journals A New Modified Firefly Algorithm for Optimizing a Supply Chain Network Problem

2018 ◽  
Vol 9 (1) ◽  
pp. 7 ◽  
Author(s):  
Ashkan Memari ◽  
Robiah Ahmad ◽  
Mohammad Akbari Jokar ◽  
Abd. Abdul Rahim
Keyword(s):  
Supply Chain ◽  
Firefly Algorithm ◽  
Premature Convergence ◽  
Local Optimum ◽  
Supply Chain Network ◽  
Multiple Products ◽  
Network Problem ◽  
Engineering Problems ◽  
Exploitation And Exploration ◽  
Modified Firefly Algorithm

Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly algorithm has been successfully applied to many engineering problems. However, this algorithm might be stuck in stagnation (the solutions do not enhance anymore) or possibly fall in premature convergence (fall in to the local optimum) in searching space. It seems that both issues could be connected to the exploitation and exploration. Excessive exploitation leads to premature convergence, while excessive exploration slows down the convergence. In this study, the classical firefly algorithm is modified such that make a balance between exploitation and exploration. The purposed modified algorithm ranks and sorts the initial solutions. Next, the operators named insertion, swap and reversion are utilized to search the neighbourhood of solutions in the second group, in which all these operators are chosen randomly. After that, the acquired solutions combined with the first group and the firefly algorithm finds the new potential solutions. A multi-echelon supply chain network problem is chosen to investigate the decisions associated with the distribution of multiple products that are delivered through multiple distribution centres and retailers to end customers and demonstrate the efficiency of the proposed algorithm.

Research on Production and Order Decision for Supply Chain Members of Virtual Enterprises in Uncertain Environment

2013 ◽  
Vol 546 ◽  
pp. 45-49
Author(s):  
Jun Mei Ding ◽  
Tian Rui Zhang ◽  
Tian Biao Yu ◽  
Wan Shan Wang
Keyword(s):  
Supply Chain ◽  
Virtual Enterprise ◽  
Production Capacity ◽  
Quantitative Relation ◽  
Virtual Enterprises ◽  
Multi Stage ◽  
Market Opportunities ◽  
Development Tendency ◽  
The Mathematical Model ◽  
Mathematical Derivation

As an organizational way, virtual enterprise had been the development tendency of contemporary enterprise operation. For complex market opportunities, the uncertainty of supply chain in virtual enterprises was the key of enterprise operation. This paper studied the production and order strategy for virtual enterprise members from single-stage supply chain, and then provided reference for subsequent multi-stage supply chain. This paper introduced expected loss, which was the base of making decisions for the enterprise. Through building the mathematical based on the strict mathematical derivation, the quantitative relation between the order quantity of core enterprises and production capacity of partners, and then the mathematical model was verified in the last.

Sign in / Sign up

Export Citation Format

Share Document