Scheduling for fabrication and assembly in a two-machine flowshop with a fixed job sequence
This paper studies a problem of scheduling fabrication and assembly operations in a two-machine flowshop, subject to the same predetermined job sequence on each machine. In the manufacturing setting, there are π products, each of which consists of two components: a common component and a unique comp...
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          | Published in | Annals of operations research Vol. 217; no. 1; p. 263 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            Springer
    
        01.06.2014
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0254-5330 | 
| DOI | 10.1007/sl0479-014-1531-8 | 
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| Abstract | This paper studies a problem of scheduling fabrication and assembly operations in a two-machine flowshop, subject to the same predetermined job sequence on each machine. In the manufacturing setting, there are π products, each of which consists of two components: a common component and a unique component which are fabricated on machine 1 and then assembled on machine 2. Common components of all products are processed in batches preceded by a constant setup time. The manufacturing process related to each single product is called a job. We address four regular performance measures: the total job completion time, the maximum job lateness, the total job tardiness, and the number of tardy jobs. Several optimality properties are presented. Based upon the concept of critical path and block schedule, a generic dynamic programming algorithm is developed to find an optimal schedule in O([n.sup.7]) time. | 
    
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| AbstractList | This paper studies a problem of scheduling fabrication and assembly operations in a two-machine flowshop, subject to the same predetermined job sequence on each machine. In the manufacturing setting, there are π products, each of which consists of two components: a common component and a unique component which are fabricated on machine 1 and then assembled on machine 2. Common components of all products are processed in batches preceded by a constant setup time. The manufacturing process related to each single product is called a job. We address four regular performance measures: the total job completion time, the maximum job lateness, the total job tardiness, and the number of tardy jobs. Several optimality properties are presented. Based upon the concept of critical path and block schedule, a generic dynamic programming algorithm is developed to find an optimal schedule in O([n.sup.7]) time. This paper studies a problem of scheduling fabrication and assembly operations in a two-machine flowshop, subject to the same predetermined job sequence on each machine. In the manufacturing setting, there are π products, each of which consists of two components: a common component and a unique component which are fabricated on machine 1 and then assembled on machine 2. Common components of all products are processed in batches preceded by a constant setup time. The manufacturing process related to each single product is called a job. We address four regular performance measures: the total job completion time, the maximum job lateness, the total job tardiness, and the number of tardy jobs. Several optimality properties are presented. Based upon the concept of critical path and block schedule, a generic dynamic programming algorithm is developed to find an optimal schedule in O([n.sup.7]) time. Keywords Two-machine flowshop * Batch scheduling * Fixed sequence * Dynamic programming  | 
    
| Audience | Academic | 
    
| Author | Kovalyov, M.Y Hwang, F.J Lin, B.M.T  | 
    
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| ContentType | Journal Article | 
    
| Copyright | COPYRIGHT 2014 Springer | 
    
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| DOI | 10.1007/sl0479-014-1531-8 | 
    
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| SubjectTerms | Dynamic programming Engineering research Management Manufacturing industry Mathematical research Scheduling (Management) Sequences (Mathematics)  | 
    
| Title | Scheduling for fabrication and assembly in a two-machine flowshop with a fixed job sequence | 
    
| Volume | 217 | 
    
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