Make-to-Order Assembly ManagementSpringer Science & Business Media, 04/12/2000 - 260 páginas Purchasing .Fabrication Assembly Distribution Figure 1.1: Multi-Level Manufacturing System for Make-to-Order Products specific resources of a type, i.e., a certain machine or a single worker, the determination of the sequence operations are processed on a ma chine, and the assignment of start and finish times to operations. We will modify this framework to be specifically suited for multi level make-to-order manufacturing systems. We assume that the facil ity design issue is settled, i.e., the location and the layout of the facility as well as the capacity ofthe three main resource types of the company are determined. These resource types are the engineering department, the fabrication department, and the assembly department. The engineering department is concerned with the construction of new products as well as the modification and customization of ex isting products. This entails the generation of engineering documents such as blue prints for manufacturing. The capacity of the engineering department is determined by the the count and qualification of engi neers and by the availability of construction devices such as computer aided design (CAD) systems etc. |
Índice
Introduction | 1 |
12 Outline of the Book | 5 |
Preliminaries | 9 |
General Issues | 11 |
22 Assembly Management | 13 |
23 Coordination and Integration | 17 |
232 Coordination | 18 |
233 Integration | 19 |
72 Literature Review | 99 |
722 Project Scheduling under Resource Constraints | 100 |
723 Project Scheduling under Resource and Part Availability Constraints | 101 |
731 Detailed Description and Notation | 102 |
732 Network Representation | 103 |
733 MIP Formulation | 105 |
74 Discussion of the Model | 107 |
741 Special Cases and Complexity Results | 108 |
24 Hierarchical Production Planning | 20 |
25 Case Descriptions | 22 |
252 Machine Tool Assembly | 26 |
253 Synthetic Fiber Production Line Assembly | 27 |
254 Aircraft Assembly | 28 |
Literature Survey and Classification | 33 |
311 Design for Assembly | 34 |
312 Production Planning for Assembly Systems | 36 |
313 Loading and Release Planning for Assembly Systems | 37 |
315 Miscellaneous | 40 |
322 Production Planning for Job Shops | 41 |
33 MultiProject Scheduling | 42 |
Decision Models | 45 |
Hierarchical Framework | 47 |
42 Manufacturing Planning Level | 49 |
Order Selection | 53 |
512 Interdependencies | 54 |
521 Due Date Assignment | 55 |
523 Project Selection and Scheduling | 56 |
524 Revenue Management | 57 |
53 Model | 58 |
532 Network Representation | 59 |
533 MIP Formulation | 61 |
54 Discussion of the Model | 62 |
542 Reduction of the Problem Size | 63 |
544 Supplier Coordination and Integration | 64 |
546 TimeDependent Order Values | 66 |
547 Variable Capacity | 67 |
Manufacturing Planning | 69 |
612 Interdependences | 72 |
62 Literature Review | 73 |
621 MultiLevel Lotsizing | 75 |
622 MultiLevel Scheduling and Lotsizing | 76 |
623 MultiLevel Lotsizing and Scheduling | 77 |
631 Detailed Description and Notation | 78 |
632 Network Representation | 80 |
633 MIP Formulation | 82 |
64 Discussion of the Model | 86 |
642 Regularity of the Objective Function | 87 |
643 Sequential vs Integrated Manufacturing Planning | 88 |
644 Special Cases | 89 |
645 Model Extensions | 91 |
Operations Scheduling | 93 |
711 Performance Measure | 95 |
712 Interdependencies | 97 |
742 LeftRegularity of the Objective Function | 109 |
743 Part Pegging | 110 |
745 Resource and Part Assignment | 112 |
Solution Methods | 117 |
Order Selection Methods | 119 |
812 Column Generation by Dynamic Programming | 122 |
813 LPBased Heuristic | 123 |
82 Experimental Evaluation | 124 |
822 Computational Results | 125 |
Manufacturing Planning Methods | 129 |
911 Outline of the List Scheduling Heuristic | 130 |
913 Schedule Generation | 131 |
914 Property of the List Scheduling Heuristic | 134 |
916 Lotsizing Generation Scheme | 136 |
917 Cost Considerations | 138 |
92 Lagrangian Relaxation | 141 |
922 Decomposition of Assembly Scheduling and Fabrication Lotsizing | 145 |
923 Lower Bounds for the Assembly Scheduling Problem | 147 |
924 Lower Bounds for the Fabrication Lotsizing Problem | 151 |
925 A LagrangianBased Construction Heuristic | 156 |
926 Subgradient Optimization | 160 |
93 Experimental Evaluation | 162 |
932 Computational Results | 164 |
Operations Scheduling Methods | 171 |
1011 Schedule Generation | 172 |
1012 Property of the Schedule Generation Scheme | 176 |
1014 Priority Rules | 179 |
102 Improvement Heuristics | 180 |
1022 Tabu Search Based LargeStep Optimization | 182 |
103 Experimental Evaluation | 191 |
1032 Computational Results | 193 |
Research Opportunities | 199 |
Instance Generation | 201 |
A2 Order Selection Instances | 202 |
A3 Manufacturing Planning Instances | 204 |
A4 Operations Scheduling Instances | 205 |
Notation | 209 |
B2 Notation for Manufacturing Planning | 211 |
B3 Notation for Operations Scheduling | 212 |
List of Abbreviations | 213 |
List of Figures | 217 |
List of Tables | 219 |
Bibliography | 221 |
255 | |
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Palavras e frases frequentes
algorithm approach assembly area assembly resource assembly scheduling problem assembly systems available capacity calculated capacitated capacity demand construction heuristic CPLEX decision levels decision problem delivery denotes depicted Drexl dynamic employed engineering European Journal Example Instance fabrication plan fabrication resource feasible Figure final assembly given heuristic hierarchical holding cost interdependencies j=sp Journal of Operational Kolisch Lagrangian multipliers Lagrangian relaxation Large Instances large-step optimization latest list position lower bound machine make-to-order manufacturing Management Science manufacturing planning level manufacturing planning problem manufacturing system minimal time lag MPRH multi multi-project scheduling NP-hard objective function value obtain Operational Research optimal solution order selection performance measure period precedence relations printed circuit board priority rule problem cf processing production planning project scheduling Qi,t resource constraints resource strength setup cost SGAP solve spatial capacity spatial resource subassemblies subgradient Subsection suppliers Table tabu search tardiness task Thizy WSPT xj,t Yi,t ΣΣ
Passagens conhecidas
Página 239 - Journal of Intelligent Manufacturing, vol. 16, no. 3, pp. 287-301. R. Kolisch and K Hess, 2000, "Efficient methods for scheduling makc-to-ordcr assemblies under resource, assembly area and part availability constraints," International Journal of Production Research, vol.
Referências a este livro
Lean Assembly: The Nuts and Bolts of Making Assembly Operations Flow Michel Baudin Pré-visualização limitada - 2002 |