Optimization Model for Base-Level Delivery Routes and Crew Scheduling

In the U.S. Air Force, a Logistic Readiness Squadron (LRS) provides material management, distribution, and oversight of contingency operations. Dispatchers in the LRS must quickly prepare schedules that meet the needs of their customers while dealing with real-world constraints, such as time windows, delivery priorities, and intermittent recurring missions. Currently, LRS vehicle operation elements are faced with a shortage of manpower and lack an efficient scheduling algorithm and tool. The purpose of this research is to enhance the dispatchers\u27 capability to handle flexible situations and produce good schedules within current manpower restrictions. In this research, a new scheduling model and algorithm are provided as an approach to crew scheduling for a base-level delivery system with a single depot. A Microsoft Excel application, the Daily Squadron Scheduler (DSS), was built to implement the algorithm. DSS combines generated duties with the concept of a set covering problem. It utilizes a Linear Programming pricing algorithm and Excel Solver as the primary engine to solve the problem. Reduced costs and shadow prices from subproblems are used to generate a set of feasible duties from which an optimal solution to the LP relaxation can be found. From these candidate duties the best IP solution is then found. The culmination of this effort was the development of both a scheduling tool and an analysis tool to guide the LRS dispatcher toward efficient current and future schedules

Batalin-Tyutin Quantization of the Chiral Schwinger Model

We quantize the chiral Schwinger Model by using the Batalin-Tyutin formalism. We show that one can systematically construct the first class constraints and the desired involutive Hamiltonian, which naturally generates all secondary constraints. For $a>1$, this Hamiltonian gives the gauge invariant Lagrangian including the well-known Wess-Zumino terms, while for $a=1$ the corresponding Lagrangian has the additional new type of the Wess-Zumino terms, which are irrelevant to the gauge symmetry.Comment: 15 pages, latex, no figures, to be published in Z. Phys. C (1995

Cerebellar excitatory amino acid binding sites in normal, granuloprival, and purkinje cell-deficient mice

Using quantitative autoradiography, the cellular localization and characterization of cerebellar excitatory amino acid binding sites in normal, Purkinje cell-deficient and granuloprival (granule cell-deficient) mouse cerebella were investigated. In the molecular layer of normal mouse cerebellum, the quisqualate subtype of excitatory amino acid receptor (assayed by [3H](RS)-[alpha]-amino-3-hydroxy-5-methylisoxazole-4-propionate, quisqualate-sensitive -[3H]glutamate, and [3H]6-cyano-7-nitroquinoxaline-2,3-dione binding) predominated. In the granule cell layer of the cerebellum, -[3H]glutamate and [3H]glycine binding sites were predominant.In the molecular layer of Purkinje cell-deficient mutant mice, [3H](RS)-[alpha]-amino-3-hydroxy-5-methylisoxazole-4-propionate binding sites and [3H]6-cyano-7-nitro-quinoxaline-2,3-dione binding were reduced to 24% (P P 3H]glutamate binding sites were reduced to 54% of control (P 3H]glutamate and [3H]glycine binding were unchanged. In the granule cell layer of these mouse cerebella, there was no change in excitatory amino acid receptor binding.In the molecular layer of granuloprival mouse cerebella, [3H](RS)-[alpha]-amino-3-hydroxy-5-methylisoxa-zole-4-propionate binding was increased to 205% of control (P 3H]6-cyano-7-nitro-quinoxaline-2,3-dione binding was increased to 136% of control (P 3H]glutamate binding was increased to 152% of control (P 3H]glutamate and [3H]glycine binding were unchanged. In areas of granule cell depletion [3H]glutamate and [3H]glycine binding were reduced to 68% (P P These results suggest that three different receptor assays: [3H](RS)-[alpha]-amino-3-hydroxy-5-methylisoxa-zole-4-propionate, quisqualate-sensitive -[3H]glutamate, and [3H]6-cyano-7-nitro-quinoxaline-2,3-dione binding can be used to demonstrate that quisqualate receptor specific binding sites are located on Purkinje cell dendrites in the molecular layer of cerebellum, and that these binding sites apparently up-regulate in response to granule cell ablation and Purkinje cell deafferentation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/29637/1/0000726.pd