Historical Self-understanding in the Social Sciences: The Use of Thomas Kuhn in Psychology

Thomas Kuhn's (1962, 1970c) thesis concerning the structure of scientific change was critically examined in relation to the historical problems of social science. The use and interpretation of Kuhn's ideas by psychologists was reviewed and found to center around the proliferation of theoretical views as paradigms, the viewing of theoretical differences as paradigm clashes, and efforts to affirm particular conceptions of psychology's past or future. Such use was seen as curbing discussion of fundamental issues, and to reflect a continuing neglect of the foundational problems peculiar to social science. The relevance of Kuhn's work was seen to rest on a more critical view of his idea of "mature" science, better understanding of the type of social psychology upon which his thesis rests, and greater appreciation of his hermeneutic approach to social-historical analysis.     

LOGISTICS MANAGEMENT SYSTEM: AN ADVANCED DECISION SUPPORT SYSTEM FOR THE FOURTH DECISION TIER DISPATCH OR SHORT-INTERVAL SCHEDULING

The Logistics Management System (LMS) is a real-time transaction-based system combining decision technologies from AI, MS/OR, and decision support system that serves very successfully as a dispatcher or short-interval scheduler by monitoring and controlling the manufacturing flow of IBM's semiconductor facility near Burlington, Vermont. LMS coordinates the actions and decisions of several logically isolated participants in a serially dependent system of activities. Therefore, it balances the requirements of several goals (cycle time, output, serviceability, and inventory management) that compete for the same resource, exploits emerging opportunities on the manufacturing floor, and reduces the distortion from unplanned events. This paper provides an overview of the LMS application, the concept of interrelated decision tiers in manufacturing decision making, and the need for the dispatch decision tier to successfully reduce apparent randomness. Historically, production and operations management has ignored this decision tier. This has significantly limited our ability to make an impact on the performance of the manufacturing operation.