Solving the multi-objective flowline manufacturing cell scheduling problem by hybrid harmony search

Li, Yazhi; Li, Xiaoping; Gupta, Jatinder N. D.

doi:10.1016/j.eswa.2014.09.007

Cited by 58 publications

(22 citation statements)

References 28 publications

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“…Single machine bi-criteria scheduling problems were addressed by several researchers [1,2]. Most of the work on multiple machines bi-criteria scheduling has been addressed in the literature under flow shop configuration [3,4,5,6,7]. Multi-criteria flow shop scheduling problems were also addressed by several researchers [8,9,10].…”

Section: Fig 1 a Typical Scheduling Problem Relationshipsmentioning

confidence: 99%

Multicriteria Dynamic Scheduling by Topsis and Goal Programming

Amol¹

2016

DAAAM Proceedings

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The present research work presents an algorithm for dynamic scheduling problems that optimize several criteria simultaneously. This algorithm is based on dispatching rules, TOPSIS and goal programming and integrates them to solve the multi-criteria dynamic job shop scheduling problems. The selection of dispatching rules is made by identifying the worst performing criterion. A rule, which can improve system performance for the worst performing criterion is selected to dispatch the part under consideration. The proposed multi-criteria dynamic scheduling algorithm is evaluated and compared with best reported scheduling rules. The results obtained demonstrate that the suggested algorithm proves it superiority over individual dispatching rules under multi-criteria dynamic job shop environment.

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Section: Fig 1 a Typical Scheduling Problem Relationshipsmentioning

confidence: 99%

Multicriteria Dynamic Scheduling by Topsis and Goal Programming

Amol¹

2016

DAAAM Proceedings

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“…The movement of production materials is mainly conveyed by conveyor belts, and employees assist machines in producing according to designed process routes and production rhythm [39]. In the design stage, the core is to minimize standard time, and flowline manufacturing systems further increase labor intensity of workers.…”

Section: Problem Descriptionmentioning

confidence: 99%

A Biobjective Model for Manual Materials Handling with Energy Consumption Being Accounted For

Zhang

Fan

Xiong

et al. 2018

Mathematical Problems in Engineering

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Aiming at production environment and operation design in manual materials handling which often overlook workers' physiological factors and cause fatigue, even work-related musculoskeletal disorders, we construct a biobjective model based on economics and ergonomics. In the model, two objectives include functions about handling time and energy consumption. Based on the openness of IGRIP/ERGO simulation software combined with MATLAB, we design and develop the interactive simulation platform, where program language can be automatically generated. Then, we analyze the case about handling operations in an automobile brake pad manufacturing company, and the number of input materials and process scheduling are taken as research objects. Finally, the results show that the win-win optimal solution can be usually obtained between productivity and ergonomics for decision makers according to the proposed biobjective model. Moreover, the case study demonstrates that the interactive simulation platform can be devoted to providing the solution for modern production operation directly and conveniently, which can make the production environment and operation design in accordance with ergonomics.

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“…(1) Economic criteria observed are as follows: makespan, that is, completion time of the last job (as discussed by Davendra et al [5]; Engin and Günaydin [6]; Zhang and Chen [7]); completion, including total completion time (as discussed by Framinan et al [8]; Li et al [9]; Nikjo and Rezaeian [10]; Shahvari et al [11]; Sabouni and Logendran [12]) and total weighted completion time (as discussed by Bozorgirad and Logendran [13]; Correa et al [14]); flow time, or named production time in some publications (as discussed by Sabouni and Logendran [12]; Ying et al [15]; Lu and Logendran [16]); setup cost, including intracell movement time [17], energy cost [18,19], and other costs that may result in augmentation of the operation cost, such as tardiness penalty (as discussed by Le and Pang [18]). …”

Section: Optimization Criteriamentioning

confidence: 99%

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Fei

Shen

2017

Scientific Programming

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Over the past decades, optimization in operations management has grown ever more popular not only in the academic literature but also in practice. However, the problems have varied a lot, and few literature reviews have provided an overview of the models and algorithms that are applied to the optimization in operations management. In this paper, we first classify crucial optimization areas of operations management from the process point of view and then analyze the current status and trends of the studies in those areas. The purpose of this study is to give an overview of optimization modelling and resolution approaches, which are applied to operations management.

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Solving the multi-objective flowline manufacturing cell scheduling problem by hybrid harmony search

Cited by 58 publications

References 28 publications

Multicriteria Dynamic Scheduling by Topsis and Goal Programming

Multicriteria Dynamic Scheduling by Topsis and Goal Programming

A Biobjective Model for Manual Materials Handling with Energy Consumption Being Accounted For

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

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