Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms

Ebrahimi, Ahmad; Jeon, Hyun Woo; Lee, Seokgi; Wang, Chao

doi:10.1016/j.cie.2020.106295

Title: Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms

Abstract

Job scheduling and machine layout are interrelated in improving energy consumption (EC) and productivity measures such as tardiness and represent two important decisions that must be made by manufacturers. This interdependency can be explained by transportation time, which connects scheduling and layout. Scheduling and layout, however, have not been thoroughly studied in conjunction using an integrated model in the context of sustainable manufacturing. Hence, we propose an energy-aware optimization model in which scheduling is integrated with layout in a single-level framework. More specifically, a single objective function is defined to minimize the facility energy cost and the job tardiness penalty, which control EC and tardiness respectively in a flexible job shop system. In order to model machine EC more accurately, we also consider three different machine states: a processing state and two idle states. Our case studies show that the integrated model exhibits better performance in controlling manufacturing EC and job tardiness than a non-integrated model in which machine locations are uncontrollable and transportation times between machines are unchangeable. To deal with large-sized problems, we also introduce four new metaheuristics. The performances of these new metaheuristics are compared in terms of objective function values and CPU times using various casemore »« less

Authors:

Ebrahimi, Ahmad ^[1];

^[1];

^[2];

^[1]

Louisiana State University, Baton Rouge, LA (United States)
University of Miami, Coral Gables, FL (United States)

Publication Date:: Fri Jan 17 00:00:00 EST 2020

Research Org.:: Louisiana State Univ., Baton Rouge, LA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1994459

Grant/Contract Number:: EE0007709

Resource Type:: Journal Article: Accepted Manuscript

Journal Name:: Computers and Industrial Engineering

Additional Journal Information:: Journal Volume: 141; Journal ID: ISSN 0360-8352

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; Scheduling; Layout; Energy consumption; Transportation time; Hybrid metaheuristic; Flexible job shop

Citation Formats


                    Ebrahimi, Ahmad, Jeon, Hyun Woo, Lee, Seokgi, and Wang, Chao. Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms.  United States: N. p., 2020. 
        Web.  doi:10.1016/j.cie.2020.106295.

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                    Ebrahimi, Ahmad, Jeon, Hyun Woo, Lee, Seokgi, & Wang, Chao. Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms.  United States.  https://doi.org/10.1016/j.cie.2020.106295

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                    Ebrahimi, Ahmad, Jeon, Hyun Woo, Lee, Seokgi, and Wang, Chao. 2020.  
        "Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms".  United States.  https://doi.org/10.1016/j.cie.2020.106295.  https://www.osti.gov/servlets/purl/1994459.

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@article{osti_1994459,

  title        = {Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms},

  author       = {Ebrahimi, Ahmad and Jeon, Hyun Woo and Lee, Seokgi and Wang, Chao},

  abstractNote = {Job scheduling and machine layout are interrelated in improving energy consumption (EC) and productivity measures such as tardiness and represent two important decisions that must be made by manufacturers. This interdependency can be explained by transportation time, which connects scheduling and layout. Scheduling and layout, however, have not been thoroughly studied in conjunction using an integrated model in the context of sustainable manufacturing. Hence, we propose an energy-aware optimization model in which scheduling is integrated with layout in a single-level framework. More specifically, a single objective function is defined to minimize the facility energy cost and the job tardiness penalty, which control EC and tardiness respectively in a flexible job shop system. In order to model machine EC more accurately, we also consider three different machine states: a processing state and two idle states. Our case studies show that the integrated model exhibits better performance in controlling manufacturing EC and job tardiness than a non-integrated model in which machine locations are uncontrollable and transportation times between machines are unchangeable. To deal with large-sized problems, we also introduce four new metaheuristics. The performances of these new metaheuristics are compared in terms of objective function values and CPU times using various case studies. The results indicate that a hybrid ant colony optimization and simulated annealing (ACO-SA) algorithm provides better performance than the other algorithms. Specifically, our case studies show that the integrated model using ACO-SA can improve the objective function value by around 5% when compared to the non-integrated model.},

  doi          = {10.1016/j.cie.2020.106295},

  url          = {https://www.osti.gov/biblio/1994459},
  journal      = {Computers and Industrial Engineering},

  issn         = {0360-8352},

  number       = ,

  volume       = 141,

  place        = {United States},

  year         = {Fri Jan 17 00:00:00 EST 2020},

  month        = {Fri Jan 17 00:00:00 EST 2020}

}

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Similar Records

Title: Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms

Abstract

Citation Formats

Modelling and analysis of energy footprint of manufacturing systems journal, September 2014

A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality journal, October 2016

Multi-Objective Bi-Level Programming for the Energy-Aware Integration of Flexible Job Shop Scheduling and Multi-Row Layout journal, December 2018

A novel multi-swarm particle swarm optimization with dynamic learning strategy journal, December 2017

Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops journal, January 2012

An investigation into minimising total energy consumption and total weighted tardiness in job shops journal, February 2014

Energy-efficient scheduling in manufacturing companies: A review and research framework journal, February 2016

Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives journal, July 2013

A framework to minimise total energy consumption and total tardiness on a single machine journal, June 2008

Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm journal, February 2017

A hybrid metaheuristic for concurrent layout and scheduling problem in a job shop environment journal, December 2011

Optimizing the production scheduling of a single machine to minimize total energy consumption costs journal, March 2014

Towards greener machine tools – A review on energy saving strategies and technologies journal, August 2015

Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities journal, July 2015

Sustainability in manufacturing operations scheduling: A state of the art review journal, October 2015

An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops journal, January 2015

Parallel-machine scheduling to minimize tardiness penalty and power cost journal, January 2013

Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption journal, January 2016

Multi-objective energy-aware batch scheduling using ant colony optimization algorithm journal, May 2019

Integrated green scheduling optimization of flexible job shop and crane transportation considering comprehensive energy consumption journal, February 2019

Solving a type of biobjective bilevel programming problem using NSGA-II journal, January 2010

Flexible job-shop scheduling problem under resource constraints journal, June 2006

Solving a mathematical model integrating unequal-area facilities layout and part scheduling in a cellular manufacturing system by a genetic algorithm journal, August 2016

Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints journal, October 2019

Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm journal, October 2013

Hybrid flow shop scheduling considering machine electricity consumption cost journal, December 2013

A comparison of five hybrid metaheuristic algorithms for unrelated parallel-machine scheduling and inbound trucks sequencing in multi-door cross docking systems journal, August 2014

Total energy consumption optimization via genetic algorithm in flexible manufacturing systems journal, February 2017

Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization journal, September 2016

Energy efficient production planning and scheduling problem with processing technology selection journal, June 2019

A new hybrid particle swarm and simulated annealing stochastic optimization method journal, November 2017

Modelling and analysis of energy footprint of manufacturing systems
journal, September 2014

A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality
journal, October 2016

Multi-Objective Bi-Level Programming for the Energy-Aware Integration of Flexible Job Shop Scheduling and Multi-Row Layout
journal, December 2018

A novel multi-swarm particle swarm optimization with dynamic learning strategy
journal, December 2017

Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops
journal, January 2012

An investigation into minimising total energy consumption and total weighted tardiness in job shops
journal, February 2014

Energy-efficient scheduling in manufacturing companies: A review and research framework
journal, February 2016

Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives
journal, July 2013

A framework to minimise total energy consumption and total tardiness on a single machine
journal, June 2008

Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
journal, February 2017

A hybrid metaheuristic for concurrent layout and scheduling problem in a job shop environment
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Optimizing the production scheduling of a single machine to minimize total energy consumption costs
journal, March 2014

Towards greener machine tools – A review on energy saving strategies and technologies
journal, August 2015

Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities
journal, July 2015

Sustainability in manufacturing operations scheduling: A state of the art review
journal, October 2015

An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops
journal, January 2015

Parallel-machine scheduling to minimize tardiness penalty and power cost
journal, January 2013

Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
journal, January 2016

Multi-objective energy-aware batch scheduling using ant colony optimization algorithm
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journal, January 2010

Flexible job-shop scheduling problem under resource constraints
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Solving a mathematical model integrating unequal-area facilities layout and part scheduling in a cellular manufacturing system by a genetic algorithm
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Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints
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Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
journal, October 2013

Hybrid flow shop scheduling considering machine electricity consumption cost
journal, December 2013

A comparison of five hybrid metaheuristic algorithms for unrelated parallel-machine scheduling and inbound trucks sequencing in multi-door cross docking systems
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