The traditional multi-commodity ow problem assumes a given ow network in which multiple commodities are to be maximally routed in response to given demands. This paper considers the multi-commodity ow network-design problem: given a set of multi-commodity ow demands, nd a network subject to certain constraints such that the commodities can be maximally routed. This paper focuses on the case whe...

■ 2. Section 180. 628 is amended as follows: ■ i. Add alphabetically tolerances for beet, sugar, molasses; berry large shrub/ tree, subgroup 13–07C; berry, low growing, subgroup at 13–07G; onion, bulb, subgroup 3–07A; tea, dried; Ti, leaves; Ti, root; vegetable, leaves of root and tuber, group 2; vegetable, root and tuber, group 1; to the table in paragraph (a); ■ ii. Revise the tolerances for ...

The project reported on here was undertaken with the primary objective of creating a database of commodity flows into and out of the counties of Indiana and to allocate this commodity traffic to the transportation network of the state. Such a database was to form the foundation for a general transportation model for Indiana that would assist state decision-makers in evaluating the various alter...

Multicommodity distribution problem is one of the most interesting and useful models in mathematical programming due to its major role in distribution networks. The purpose of this paper is to describe and solve a special class of multicommodity distribution problems in which shipment of a commodity from a plant to a customer would go through different distribution centers. The problem is t...

In large electronic marketplaces populated by buying and selling agents, it is difficult to judge trustworthiness. A variety of systems have been proposed to help traders to find trustworthy partners by learning to discount or disregard disreputable parties. In this paper, we present a novel model for providing safe electronic marketplaces: Commodity Trunits, a system that considers trust as a ...

W consider a firm that procures and distributes a commodity from spot and forward markets under randomly fluctuating prices; the commodity is distributed downstream to a set of nonhomogeneous retailers to satisfy random demand. We formulate a model that allows one to compute approximate, but near optimal, procurement and distribution policies for this system, and we explore the value of the com...

Not all virtual reality applications today require the power or expense of single large visualization “supercomputers”. Factors such as frame rate and polygon count have a major impact upon the performance of a VR application. Increasingly, low cost commodity consumer electronics and computing technology are becoming powerful enough to present an acceptable level of graphics performance. Alread...

In search for general equilibrium in multi-commoditymarkets, price-oriented schemes are normally used. That is, a set of prices (one price for each commodity) is updated until supply meets demand for each commodity. In some cases such an approach is very inef cient, and a resource-oriented scheme can be highly competitive. In a resource-oriented scheme the allocations are updated until the mark...

An expert system is being developed to help assure the quality of data in the Consumer Price Index (CPI). The system replicates the reasoning of Commodity Analysts determining if a substitute product is comparable to a product priced in the previous month. If comparable, its price can be considered in producing the CPI. The system reasons with expertise directly entered by Commodity Analysts. T...