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Dive into the research topics where John Peter Fasano is active.

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Featured researches published by John Peter Fasano.


Ibm Journal of Research and Development | 2007

Applying supply chain optimization techniques to workforce planning problems

Donna L. Gresh; Daniel P. Connors; John Peter Fasano; Robert J. Wittrock

The IBM Research Division has developed the Resource Capacity Planning (RCP) Optimizer to support the Workforce Management Initiative (WMI) of IBM. RCP applies supply chain management techniques to the problem of planning the needs of IBM for skilled labor in order to satisfy service engagements, such as consulting, application development, or customer support. This paper describes two RCP models and presents two approaches to solving each of them. We also describe the motivation for using one approach over another. The models are built using the Watson Implosion Technology toolkit, which consists of a supply chain model, solvers for analysis and optimization, and an Application Programming Interface (API) for developing a solution. The models that we built solve two core resource planning problems, gap/glut analysis and resource action planning. The gap/glut analysis is similar to material requirements planning (MRP), in which shortages (gaps) and excesses (gluts) of resources are determined on the basis of expected demand. The goal of the resource action planning problem is to determine what resource actions to take in order to fill the gaps and reduce the gluts. The gap/glut analysis engine is currently deployed within the IBM service organization to report gaps and gluts in personnel.


international conference on service operations and logistics, and informatics | 2008

Distribution center location for green supply chain

Feng Li; Tie Liu; Hao Zhang; Rongzeng Cao; Wei Ding; John Peter Fasano

In this paper, a simple mix integer programming for distribution center location is proposed. Based on this simple model, we introduce two important factors, transport mode and carbon emission, and extend it a model to describe the location problem for green supply chain. Sequently, IBM Watson implosion technologh (WIT) tool was introduced to describe them and solve them. By changing the price of crude oil, we illustrate the its impact on distribution center locations and transportation mode option for green supply chain. From the cases studies, we have known that, as the crude oil price increasing, the profits of the whole supply chain will decrease, carbon emission will also decrease to some degree, while the number of opened distribution center will increase.


Archive | 1995

Framework for manufacturing logistics decision support

Goodwin R. Chin; Walter C. Dietrich; Thomas R. Ervolina; John Peter Fasano; Elizabeth Jodi Poole; Jung-Mu Tang


Archive | 2005

Resource capacity planning

Daniel P. Connors; John Louis Deeb; John Peter Fasano; Matthew J. Florian; Philip J. Garofolo; Donna L. Gresh; David Eric Quinney; Ronald Alan Zink


Archive | 2005

Method for resource planning of service offerings

Daniel P. Connors; John Peter Fasano; Donna L. Gresh


Archive | 1997

Method and apparatus for conveying higher-dimensional tabular information to people using lower-dimensional output devices

Brenda L. Dietrich; Walter C. Dietrich; Elizabeth Jodi Poole; John Peter Fasano; Jung-Mu Tang


Archive | 2007

METHOD AND STRUCTURE FOR RISK-BASED RESOURCE PLANNING FOR CONFIGURABLE PRODUCTS

Markus Ettl; Ching-Hua Chen-Ritzo; John Peter Fasano; Aliza R. Heching; Karthik Sourirajan; Robert J. Wittrock


Archive | 2005

Applications of Implosion in Manufacturing

Brenda L. Dietrich; Daniel P. Connors; Thomas R. Ervolina; Robin Lougee-Heimer; Robert J. Wittrock; John Peter Fasano


Archive | 2008

System and method for overcoming infeasibility determinations in using constraint satisfaction programming for scheduling human resources

Daniel P. Connors; John Peter Fasano; Donna L. Gresh; Yehuda Naveh


Archive | 1995

Method for using sorting techniques in a type-safe way

Walter C. Dietrich; Thomas R. Ervolina; John Peter Fasano; Jung-Mu Tang

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