H. S. Lee, S. S. Murthy, S. W. Haider and D. V. Morse, Primary production scheduling at steel making industries, IBM Journal Research Development,vol.40, no. 2, 1996, pp. 231-252.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... nonlinear equation solving [14] 26] traveling salesman problems [21] high rise building design [15] reconfigurable robot design [16] diagnosis of faults in electric networks [17] control of electric networks [18] 27] job shop scheduling [23] steel and paper mill scheduling [28] [29], train scheduling [22] and constraint satisfaction [25] Not only do these A Teams produce very good solutions, but they appear to be scale effective. Definition. An organization is scale effective if its performance improves with size. A computer based organization is scaleeffective if there ....

H. Lee, S. Murthy, W. Haider, D. Morse, "Primary Production Scheduling at Steel making Industries," IBM report, 1995

....The configuration is fixed by the system designer. Coordination: The system is coordinated by the dissipative flow of currency among agents of equal standing. Maturity: This system is in production use at Xerox s Palo Alto Research Center. 4.2.2. 11 Case: Paper and Steel Mill Scheduling [55, 62] Products such as paper and sheet steel are produced with a batch process, then trimmed, packaged, and sold as piece products. For instance, paper production requires scheduling different alternatives in primary production (paper machines) trimming, finishing (cutting into sheets and packaging) ....

H. S. Lee, S. Murthy, S. W. Haider, and D. Morse. Primary Production Scheduling at Steel-Making Industries. IBM Journal of Research and Development, 40(2 (March)):231-252, 1996.

....of the order from the perspective of serviceability of goods made to order, daily planned output of goods feeding inventory, downstream pull, and current tool setup. At an intermediate level, ATeam architectures [34] have been applied to the generation of schedules for paper and steel mills [17, 20], with different agents assigned the responsibility of generating new schedules, improving existing schedules, ranking schedules against various criteria, and removing non competitive schedules from the pool. Functional agents as critics are less of a challenge to our requirements than are agents ....

....10 26 98 1:40 PM Copyright 1998, ERIM CEC, All Rights Reserved. Page 13 Broadcast. Vaario and Ueda [38] exhibit a system that depends only on broadcast communications, as discussed in more detail below under communication mechanisms. Functional critic architectures such as LMS [11] and A Teams [17, 20] also rely on non directed communication. Hierarchy. Hierarchical configurations are associated with the hierarchical agent mapping of systems such as YAMS [21] and BOSS [14] In such a system, higher level agents impose constraints on lower level ones, and lower level agents pass status ....

H. S. Lee, S. Murthy, S. W. Haider, and D. Morse. Primary Production Scheduling at Steel-Making Industries. IBM Journal of Research and Development, 40(2 (March)):231-252, 1996.

.... solving [TPG83] traveling salesperson problems [deSouza93] protein folding [LGTH97] high rise building design [Quadrel91] reconfigurable robot design [Murthy92] diagnosis of faults in electric networks [Chen92, AT96] control of electric networks [TR93] job shop scheduling [CTS93] steel [LMHM95] and paper mill scheduling [RWMTSAFAYHJ96] train scheduling [Tsen95] and constraint satisfaction [GHSTM96] Not only do these asynchronous teams find good solutions, but they appear to be scale effective: solution quality and speed usually improve with the addition of agents and computers. This ....

H. Lee, S. Murthy, W. Haider, D. Morse, "Primary Production Scheduling at Steel making Industries," IBM report, 1995

....are beginning to find application in domains such as factory scheduling and routing of airline freight shipments [6] 3. 2 Digital Domain, Social Interface IBM markets an agent based scheduling system for process industries such as paper and steel manufacturing, based on the A Team architecture [15, 18, 27]. In this architecture, a team of functional agents generate, evaluate, or modify candidate solutions that reside on one or more blackboards, or pools. One agent s task may be to generate new solutions and add them to the pool. Another class of agents test solutions against various evaluation ....

H. S. Lee, S. Murthy, S. W. Haider, and D. Morse. Primary Production Scheduling at Steel-Making Industries. IBM Journal of Research and Development, 40(2 (March)):231252, 1996.

.... including nonlinear equation solving [8] 9] traveling salesman problems [10] high rise building design [11] reconfigurable robot design [12] diagnosis of faults in electric networks [13] control of electric networks [14] 15] jobshop scheduling [16] steel and paper mill scheduling [17] [18], train scheduling [19] and constraint satisfaction [20] Not only do these asynchronous teams find good solutions, but they appear to achieve scale effectiveness through fairly simple mechanisms. The succeeding material explains how and why. Specifically, Section 2 develops a framework for ....

H. Lee, S. Murthy, W. Haider, D. Morse, "Primary Production Scheduling in Steelmaking Industries," IBM report, 1995.

.... nonlinear equation solving [8] 9] traveling salesman problems [10] high rise building design [11] reconfigurable robot design [12] diagnosis of faults in electric networks [13] control of electric networks [14] 15] job shop scheduling [16] steel and paper mill scheduling [17] [18], train scheduling [19] and constraint satisfaction [20] Not only do these asynchronous teams produce very good solutions, but they appear to be scaleeffective. To define scale effectiveness and explain why asynchronous teams behave as they do, requires the apparatus that will be developed ....

H. Lee, S. Murthy, W. Haider, D. Morse, "Primary Production Scheduling in Steelmaking Industries," IBM report, 1995.

....problem did not require destroyers. A team architecture has been used to obtain good feasible solutions to various combinatorial optimization problems such as the TSP problem (Talukdar and de Souza[TdS93] and scheduling problems arising in steel and paper manufacturing industry (Lee et al. [LMHM96], Murthy et al. MARW97] The reader is referred to Talukdar, de Souza and Murthy [TdSM93] for more on A Team architecture. 4.2 Heuristics With the aim of generating non dominated solutions for BSMK, we have developed a collection of constructor and improver heuristics. Most of these heuristics ....

H.S. Lee, S. Murthy, S.W. Haider, and D. Morse. Primary production scheduling at steel-making industries. IBM Journal of Research and Development, ?(?):--, 1996.

No context found.

H. S. Lee, S. S. Murthy, S. W. Haider and D. V. Morse, Primary production scheduling at steel making industries, IBM Journal Research Development,vol.40, no. 2, 1996, pp. 231-252.

No context found.

H. S. Lee, S. S Murthy, S. W. Haider and D.V. Morse. Primary production scheduling at steel making industries. IBM Journal Research Development, Vol. 40, No. 2, 1996.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC