Job shop scheduling with a combination of four buffering constraints

In this paper, a new scheduling problem is investigated in order to optimise a more generalised Job Shop Scheduling system with a Combination of four Buffering constraints (i.e. no-wait, no-buffer, limited-buffer and infinite-buffer) called CBJSS. In practice, the CBJSS is significant in modelling a...

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Vydané v:International journal of production research Ročník 56; číslo 9; s. 3274 - 3293
Hlavní autori: Liu, Shi Qiang, Kozan, Erhan, Masoud, Mahmoud, Zhang, Yu, Chan, Felix T.S.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Taylor & Francis 03.05.2018
Taylor & Francis LLC
Predmet:
Algorithms
best-insertion-heuristic algorithm
blocking
buffer management
Buffers
constructive algorithm
Gantt charts
Heuristic methods
Integer programming
Job shop scheduling
Job shops
Mixed integer
mixed integer programming
no-wait
Organic chemistry
Production scheduling
Scheduling
ISSN:0020-7543, 1366-588X
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Abstract In this paper, a new scheduling problem is investigated in order to optimise a more generalised Job Shop Scheduling system with a Combination of four Buffering constraints (i.e. no-wait, no-buffer, limited-buffer and infinite-buffer) called CBJSS. In practice, the CBJSS is significant in modelling and analysing many real-world scheduling systems in chemical, food, manufacturing, railway, health care and aviation industries. Critical problem properties are thoroughly analysed in terms of the Gantt charts. Based on these properties, an applicable mixed integer programming model is formulated and an efficient heuristic algorithm is developed. Computational experiments show that the proposed heuristic algorithm is satisfactory for solving the CBJSS in real time.
AbstractList In this paper, a new scheduling problem is investigated in order to optimise a more generalised Job Shop Scheduling system with a Combination of four Buffering constraints (i.e. no-wait, no-buffer, limited-buffer and infinite-buffer) called CBJSS. In practice, the CBJSS is significant in modelling and analysing many real-world scheduling systems in chemical, food, manufacturing, railway, health care and aviation industries. Critical problem properties are thoroughly analysed in terms of the Gantt charts. Based on these properties, an applicable mixed integer programming model is formulated and an efficient heuristic algorithm is developed. Computational experiments show that the proposed heuristic algorithm is satisfactory for solving the CBJSS in real time.
Author Chan, Felix T.S.
Kozan, Erhan
Zhang, Yu
Masoud, Mahmoud
Liu, Shi Qiang
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  surname: Liu
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  givenname: Erhan
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  surname: Kozan
  fullname: Kozan, Erhan
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  givenname: Mahmoud
  surname: Masoud
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  organization: School of Mathematical Sciences, Queensland University of Technology
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  givenname: Yu
  surname: Zhang
  fullname: Zhang, Yu
  organization: Civil and Environmental Engineering, University of South Florida
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  givenname: Felix T.S.
  surname: Chan
  fullname: Chan, Felix T.S.
  email: f.chan@polyu.edu.hk
  organization: Department of Industrial & Systems Engineering, Hong Kong Polytechnic University
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Snippet In this paper, a new scheduling problem is investigated in order to optimise a more generalised Job Shop Scheduling system with a Combination of four Buffering...
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SubjectTerms Algorithms
best-insertion-heuristic algorithm
blocking
buffer management
Buffers
constructive algorithm
Gantt charts
Heuristic methods
Integer programming
Job shop scheduling
Job shops
Mixed integer
mixed integer programming
no-wait
Organic chemistry
Production scheduling
Scheduling
Title Job shop scheduling with a combination of four buffering constraints
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