Combinatorial benders cuts for assembly line balancing problems with setups
Combinatorial benders cuts for assembly line balancing problems with setups
 
  The classical assembly line balancing problem consists of assigning assembly work to workstations. In the presence of setup times that depend on the sequence of tasks assigned to each workstation, the problem becomes more complicated given that two interdependent problems, namely assignment and sequencing, must be solved simultaneously. The hierarchical nature of these two problems also suggest a natural decomposition of the problem. This paper adopts such an approach and describes an exact algorithm based on Benders decomposition to solve both simple and mixed-model assembly line balancing problems with setups. The algorithm is tested on a set of benchmark instances and numerically compared against a mixed-integer linear programming formulation of the problem solved using an off-the-shelf optimizer.
  combinatorial optimization, type-I assembly line balancing problem, sequence-dependent setup times, benders decomposition, combinatorial benders cuts
  
  
  
    
      Akpinar, S.
      
        e337d204-3935-489a-9179-028fdd527524
      
     
  
    
      Elmi, A.
      
        5502cd39-6126-4cdc-80f2-967f0091a447
      
     
  
    
      Bektas, T.
      
        0db10084-e51c-41e5-a3c6-417e0d08dac9
      
     
  
  
   
  
  
    
    
  
    
    
  
    
    
  
  
    
      Akpinar, S.
      
        e337d204-3935-489a-9179-028fdd527524
      
     
  
    
      Elmi, A.
      
        5502cd39-6126-4cdc-80f2-967f0091a447
      
     
  
    
      Bektas, T.
      
        0db10084-e51c-41e5-a3c6-417e0d08dac9
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Akpinar, S., Elmi, A. and Bektas, T.
  
  
  
  
   
    (2016)
  
  
    
    Combinatorial benders cuts for assembly line balancing problems with setups.
  
  
  
  
    European Journal of Operational Research.
  
   (doi:10.1016/j.ejor.2016.11.001). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          The classical assembly line balancing problem consists of assigning assembly work to workstations. In the presence of setup times that depend on the sequence of tasks assigned to each workstation, the problem becomes more complicated given that two interdependent problems, namely assignment and sequencing, must be solved simultaneously. The hierarchical nature of these two problems also suggest a natural decomposition of the problem. This paper adopts such an approach and describes an exact algorithm based on Benders decomposition to solve both simple and mixed-model assembly line balancing problems with setups. The algorithm is tested on a set of benchmark instances and numerically compared against a mixed-integer linear programming formulation of the problem solved using an off-the-shelf optimizer.
         
      
      
        
          
            
  
    Text
 Akpinar&Elmi&Bektas.pdf
     - Author's Original
   
  
  
 
          
            
          
            
           
            
           
        
          
            
  
    Text
 AkpinarElmiBektasR2.pdf
     - Accepted Manuscript
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Submitted date: 7 April 2016
 
    
      Accepted/In Press date: 1 November 2016
 
    
      e-pub ahead of print date: 5 November 2016
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
     
        Keywords:
        combinatorial optimization, type-I assembly line balancing problem, sequence-dependent setup times, benders decomposition, combinatorial benders cuts
      
    
  
    
     
        Organisations:
        Centre of Excellence in Decision, Analytics & Risk Research
      
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 391260
        URI: http://eprints.soton.ac.uk/id/eprint/391260
        
          
        
        
        
          ISSN: 0377-2217
        
        
          PURE UUID: eff99a75-4c3f-410d-845c-72d876c71db0
        
  
    
        
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 08 Apr 2016 15:53
  Last modified: 22 Aug 2025 04:26
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      Contributors
      
          
          Author:
          
            
            
              S. Akpinar
            
          
        
      
          
          Author:
          
            
            
              A. Elmi
            
          
        
      
          
          Author:
          
            
              
              
                T. Bektas
              
              
                 
              
            
            
          
         
      
      
      
    
  
   
  
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