Two-Agent Supply Chain Scheduling Problem to Minimize the Sum of the Total Weighted Completion Time and Batch Cost

Expand

Online published: 2017-06-30

Abstract

Two-agent single-machine scheduling problem is considered in this paper.
Agent A’s goal is to minimize the sum of the total weighted delivery time and the total
delivery cost, and agent B has the delivery time window. First, the NP-hardness of the
general problem is proved, and then two special cases are considered. One case is that
A’s jobs have agreeable ratio and this problem is still NP-hard. A pseudo-polynomial
dynamic programming algorithm and a 3
2 -approximation algorithm are designed. In
the other case, A’s jobs have agreeable ratio and B’s jobs have deadline at the same
time. This problem is polynomial solvable.

Cite this article

Li-Ya Yang · Xi-Wen Lu . Two-Agent Supply Chain Scheduling Problem to Minimize the Sum of the Total Weighted Completion Time and Batch Cost[J]. Journal of the Operations Research Society of China, 2017 , 5(2) : 257 . DOI: 10.1007/s40305-017-0171-5

Options
Outlines

/