In this paper we describe two optimization techniques that are specially tailored for information gathering. The first is a greedy minimization algorithm that minimizes an information gathering plan by removing redundant and overlapping information sources without loss of completeness. We then discuss a set of heuristics that guide the greedy minimization algorithm so as to remove costlier info...

This paper explores the problem of efficiently ordering interprocessor communication operations in statically-scheduled multiprocessors for iterative dataflow graphs. In most digital signal processing applications, the throughput of the system is significantly affected by communication costs. By explicitly modeling these costs within an effective graph-theoretic analysis framework, we show that...

In supply chain management, achieving effective coordination among manufacturers and retailers has become a pertinent research issue. Supply chain coordination is a joint decision policy achieved by the manufacturer and a retailer. This work proposes ajoint two-level supply chain model with a singlemanufacturer and a single-retailer. The novelty of the proposed model is that the demand is expre...

We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification rules. The Reduced Cost Ordering algorithm, a new method for creating a decision list (i.e., an ordered set of rules) is described and compared to a variety of inductive learning approaches. Next, we describe approache...

Within the framework of articulatory phonology (AP), gestures function as primitives, and their ordering in time is provided by a gestural score. Determining how they should be sequenced in time has been something of a challenge. We modify the task dynamic implementation of AP, by defining tasks to be the desired positions of physically embodied end effectors. This allows us to investigate the ...

Abstract—Concurrent planning of project scheduling and material ordering has been increasingly addressed within last decades as an approach to improve the project execution costs. Therefore, we have taken the problem into consideration in this paper, aiming to maximize schedules quality robustness, in addition to minimize the relevant costs. In this regard, a bi-objective mathematical model is ...

How can savings in construction of your new maintenance building be realized when today's building and construction costs are at all-time highs? Metal building systems offer certain economies, from getting the building up and ready to use sooner to reduced maintenance for years after the building is complete. One big way "systems buildings" can cut costs is by speeding design, bill of materials...

Presents selected information sources within the following categories: (1) activity-based costing; (2) bibliographies, curricula, and definition of terms; (3) corporate environmental accounting; (4) federal government, military and logistics applications; (5) financial and economic analysis of pollution prevention projects; (6) national environmental accounting; (7) pollution prevention; and (8...

The objective of this study is to minimize the expected present worth of the production costs incurred over the operational life of a robotic assembly system that is integrated with an Automatic Storage/Retrieval System (AS/RS). Production costs include inventory cost and capital cost of equipment. Inventory cost consists of ordering, holding, and lostproduction costs; and all of these costs de...

Binary and multivalued decision diagrams are closely related to dynamic programming (DP) but differ in some important ways. This paper makes the relationship more precise by interpreting the DP state transition graph as a weighted decision diagram and incorporating the state-dependent costs of DP into the theory of decision diagrams. It generalizes a well-known uniqueness theorem by showing tha...