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pro vyhledávání: '"H. deSilva"'
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Publikováno v:
Computers & Operations Research. 30:745-771
The purpose of this paper is to present a full-scale model of the tour scheduling problem as it arises in the United States Postal Service, and to examine several scenarios aimed at reducing the size of the workforce. The problem is formulated as a p
Akademický článek
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Publikováno v:
IEEE Transactions on Engineering Management. 44:31-42
This paper describes the methodology developed for the Canada Post Corporation (CPC) to evaluate and select a commercial simulation package to be used for operational and long-term planning. The project consisted of three distinct phases. The objecti
Publikováno v:
FIE
The use of Student Response Systems (SRS) has been shown to increase student attendance, participation, and learning. Prevailing systems at universities are typically SRS that require installation of software by the university and purchasing of “cl
Publikováno v:
Management Science. 40:1049-1068
With the goal of fiscal self-sufficiency, the United States Postal Service (USPS) has embarked upon a 10-year program to modernize, and in some cases radically alter, the way it manages and processes the mail. At the heart of this effort is the goal
Publikováno v:
Management Science. 40(9):1124-1144
For a given planning horizon, workforce composition and set of labor requirements, personnel scheduling often reduces to solving three problems. The first is concerned with the assignment of days off; the second involves assigning workers to shifts d
Publikováno v:
IIE Transactions. 25:88-101
This paper presents a two-level approach to designing and analyzing semi-automated mail processing facilities. The strategic issues related to equipment selection and capacity expansion are examined at the upper level with the help of a large scale m
Autor:
Garth P. McCormick, Anura H. deSilva
Publikováno v:
Annals of Operations Research. 34:107-124
This paper considers the solution of the problem: inff[y, x(y)] s.t.y ∈\(\bar R\)[y, x(y)] ⊆E k , wherex(y) solves: minF(x, y) s.t.x ∈R(x, y) ⊆E n . In order to obtain local solutions, a first-order algorithm, which uses {dx(y)/dy} for solvin