Single-machine scheduling with learning and forgetting effects
نویسندگان
چکیده
منابع مشابه
Single Machine Scheduling Problem with Precedence Constraints and Deteriorating Jobs
This paper considers the single machine scheduling problem with precedence constraints and deteriorating jobs. A mathematical model based on binary integer programming (BIP) is developed. By these precedence constraints, jobs can not start before completion of its all predecessors. The represented model is in two steps, in step one the earliest starting time of each job is computed, then the re...
متن کاملSingle Machine Scheduling Problems with Time-dependent Learning Effects
In traditional scheduling problems, most literature assumes that the processing time of a job is fixed. However, there are many situations where the processing time of a job depends on the starting time or the position of the job in a sequence. In such situations, the actual processing time of a job may be more or less than its normal processing time if it is scheduled later. This phenomenon is...
متن کاملScheduling Problems with Integrable Learning and Forgetting Effects
Scheduling problems with learning effect have been widely studied and discussed. However, there are situations that the forgetting effect might exist as well. In this paper, we propose a model with the considerations of both effects. We then derive the optimal schedules for some single-machine scheduling problems.
متن کاملJIT single machine scheduling problem with periodic preventive maintenance
This article investigates a JIT single machine scheduling problem with a periodic preventive maintenance. Also to maintain the quality of the products, there is a limitation on the maximum number of allowable jobs in each period. The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously. Due to the computational complexity of the problem, mult...
متن کاملSingle-machine Scheduling with
This paper studies the single-machine scheduling problem with deteriorating jobs and learning considerations. The objective is to minimize the makespan. We first show that the schedule produced by the largest growth rate rule is unbounded for our model, although it is an optimal solution for the scheduling problem with deteriorating jobs and no learning. We then consider three special cases of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2013
ISSN: 0307-904X
DOI: 10.1016/j.apm.2012.09.066