Paper Info
Title
Bi-objective optimization for single-machine batch scheduling considering energy cost
Abstract
Electricity is one of most widely used energies and encouraged to be saved by scientific management and new technologies such as Time-of-Use policy. Batch scheduling can significantly improve production efficiency and is used in many high electricity consumption and high technology industries. This paper investigates a new bi-objective single machine batch scheduling problem with TOU policy. The first objective is to improve productivity and the second aims to minimize the total electricity cost. For the problem, a bi-objective mixed integer nonlinear programming model is formulated. Its corresponding single objective optimization problems are linearized by analyzed properties such that the multiobjective ε-constraint method can be used to obtain Pareto solutions.
Year
DOI
Venue
2014
10.1109/CoDIT.2014.6996899
CoDIT
Keywords
DocType
Citations 
Pareto optimisation,batch processing (industrial),energy conservation,energy consumption,integer programming,nonlinear programming,productivity,single machine scheduling,Pareto solutions,TOU policy,bi-objective mixed integer nonlinear programming model,bi-objective optimization,bi-objective single machine batch scheduling problem,energy cost,energy saving,high electricity consumption,high technology industries,multiobjective constraint method,production efficiency,productivity,time-of-use policy,total electricity cost minimization,bacth scheduling,electricity cost,makespan,multiobjective optimization,time-of-use (TOU) policy
Conference
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Junheng Cheng1102.51
Feng Chu2103078.80
Weili Xia300.34
Jianxun Ding41108.09