An Energy-Cost-Aware Scheduling Methodology for Sustainable Manufacturing
نویسندگان
چکیده
منابع مشابه
A Family of Resource Constraints for Energy Cost Aware Scheduling
We present a family of resource constraints which allow us to model scheduling problems with time variable resource cost. Our main use case is energy cost minimization, by avoiding peak electricity usage periods in the generated schedule. This at the same time helps to balance the overall demand profile, leading to reduced stress on the national electricity grid. The proposed constraints extend...
متن کاملAn Energy Cost Aware Cumulative
We motivate and introduce an extension of the well-known cumulative constraint which deals with time and volume dependent cost of resources. Our research is primarily interested in scheduling problems under time and volume variable electricity costs, but the constraint equally applies to manpower scheduling when hourly rates differ over time and/or extra personnel incur higher hourly rates. We ...
متن کاملA Model Based Continuous Improvement Methodology for Sustainable Manufacturing
This paper proposes a model based continuous improvement methodology to support efforts to achieve sustainable manufacturing, i.e., to increase efficiency and reduce environmental impact of manufacturing systems. Past efforts have provided guidance at a high level or with a focus on products. This paper focuses on supporting efforts for manufacturing, in particular, at the factory level. A fram...
متن کاملResource Cost Aware Scheduling Problems
Resource Cost Aware Scheduling Problems Rodrigo A. Carrasco Managing the consumption of non-renewable and/or limited resources has become an important issue in many different settings. In this dissertation we explore the topic of resource cost aware scheduling. Unlike the purely scheduling problems, in the resource cost aware setting we are not only interested in a scheduling performance metric...
متن کاملAn Energy Aware Cost Recovery Approach for Virtual Machine Migration
Datacenters provide an IT backbone for today’s business and economy, and are the principal electricity consumers for Cloud computing. Various studies suggest that approximately 30% of the running servers in US datacenters are idle and the others are under-utilized, making it possible to save energy and money by using Virtual Machine (VM) consolidation to reduce the number of hosts in use. Howev...
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: Procedia CIRP
سال: 2015
ISSN: 2212-8271
DOI: 10.1016/j.procir.2015.01.041