Title :
A modified RAND algorithm for multi-buyer joint replenishment problem with resource constraints
Author :
Lu, Tao ; Jia, Shunchao ; Li, Yinchang
Author_Institution :
School of Economics and Management, Beijing Jiaotong University, China
Abstract :
This paper focuses on the multi-buyer jointed replenishment problem with resource constraints. The paper first establishes the general mathematical model for this jointed replenishment problem, and then modified the existing heuristic algorithm—RAND algorithm—to solve the problem, by the Lagrange Multiplier. At last, the paper also tests the feasibility of the new modified algorithm via numeric experiments and compares the efficiency of Lingo and the new algorithm.
Keywords :
Algorithm design and analysis; Companies; Economics; Heuristic algorithms; Joints; Logistics; Software algorithms; heuristic algorithm; joint replenishment; logistics management; resource constraints;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691729