Single-machine scheduling with learning effect and resource-dependent processing times
โ Scribed by Dan Wang; Ming-Zheng Wang; Ji-Bo Wang
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 206 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0360-8352
No coin nor oath required. For personal study only.
โฆ Synopsis
We consider resource allocation scheduling with learning effect in which the processing time of a job is a function of its position in a sequence and its resource allocation. The objective is to find the optimal sequence of jobs and the optimal resource allocation separately. We concentrate on two goals separately, namely, minimizing a cost function containing makespan, total completion time, total absolute differences in completion times and total resource cost; minimizing a cost function containing makespan, total waiting time, total absolute differences in waiting times and total resource cost. We analyse the problem with two different processing time functions. For each combination of these, we provide a polynomial time algorithm to find the optimal job sequence and resource allocation.
๐ SIMILAR VOLUMES
This paper addresses single-machine scheduling problems under the consideration of learning effect and resource allocation in a group technology environment. In the proposed model of this paper the actual processing times of jobs depend on the job position, the group position, and the amount of reso
In this paper we consider the single machine scheduling problem with exponential time-dependent learning effect and past-sequence-dependent (p-s-d) setup times. By the exponential time-dependent learning effect, we mean that the processing time of a job is defined by an exponent function of the tota