Modern Production Management Systems: Proceedings of the IFIP TC 5/WG 5.7 Working Conference on Advances in Production Management Systems, APMS '87, Winnipeg, Manitoba, Canada, 11-14 August, 1987Andrew Kusiak New results in the area of production management and information systems for the Factory of the Future are presented in this volume. The fifty-seven papers are by manufacturing, computing and production management professionals from academia, industry and government. The first three chapters examine scheduling methods and applications in flexible manufacturing systems, as well as heuristic algorithms for flow shop scheduling and loading. Chapter 4 deals with simulation in production management, while Chapters 5, 6 and 7 discuss planning and control problems in management systems. Chapters 8 and 9 involve modelling and manufacturing control. Chapter 10 is devoted to group technology and process planning. Expert systems, a new tool in production management, is the topic of Chapter 11, and the last chapter discusses productivity and human factor issues in manufacturing systems. |
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Page 338
... batch at stage 1 , weiting of units during the processing of other units in a batch at stage 2 and during processing of units of a batch at stage 2 causes certain amount of in - process to decay . The total decay cost for in - process ...
... batch at stage 1 , weiting of units during the processing of other units in a batch at stage 2 and during processing of units of a batch at stage 2 causes certain amount of in - process to decay . The total decay cost for in - process ...
Page 356
... batch sizes in order to recover the costs of setup . EOQ assumes a standard setup time and cost , which in reality does not exist , to calculate an even more unreal fized lot size . Through developments in the understanding of ...
... batch sizes in order to recover the costs of setup . EOQ assumes a standard setup time and cost , which in reality does not exist , to calculate an even more unreal fized lot size . Through developments in the understanding of ...
Page 358
... Batch Process = Batch = 100 units Transfer Batch Process = 1 unit Batch = 100 units Total Time = 5 hours Total Time = 1 hours 42 minutes 100 mins 100 mins 100 mins 100 mins < 1 min Figure 9 : Transfer Batch Another contrasting aspect of ...
... Batch Process = Batch = 100 units Transfer Batch Process = 1 unit Batch = 100 units Total Time = 5 hours Total Time = 1 hours 42 minutes 100 mins 100 mins 100 mins 100 mins < 1 min Figure 9 : Transfer Batch Another contrasting aspect of ...
Contents
Dynamic Network Modeling of an | 19 |
Improvements in Automated InsertionPlacement Lines | 47 |
Scheduling of Locomotive Overhauls under Shop Capacity Constraints | 63 |
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algorithm analysis application approach Artificial Intelligence assembly automated batch capacity cell Coloured Petri Nets components considered constraints conveyor cost cycle decision defined developed dynamic Elsevier Science Publishers equation evaluation example expert system exponential distribution factors FIFO Figure Flexible Manufacturing Systems flow function Geometric Programming heuristic IFIP implementation incentive earnings Industrial Engineering input integrated inventory inverted bowl knowledge representation Kusiak Editor layout loading machine Manufacturing Resource Planning Material Requirements Planning method minimize minimum Modelon module MRP II node objective obtained Operations Research optimal overhaul parameters performance period posynomial process planning Production Management Systems production planning production scheduling production system programming Publishers B. V. North-Holland quantity output queue resource rules Science Publishers B. V. sequence simulation solution solving specific structure Table techniques Technology tool units variables Σ Σ