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Reliable, secure and resilient logis...

Bukowski, Lech.

Reliable, secure and resilient logistics networksdelivering products in a risky environment /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliable, secure and resilient logistics networksby Lech Bukowski.
Reminder of title:	delivering products in a risky environment /
Author:	Bukowski, Lech.
Published:	Cham :Springer International Publishing :2019.
Description:	xix, 269 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Business logisticsManagement.
Online resource:	https://doi.org/10.1007/978-3-030-00850-5
ISBN:	9783030008505$q(electronic bk.)

Reliable, secure and resilient logistics networksdelivering products in a risky environment /
Bukowski, Lech.

Reliable, secure and resilient logistics networksdelivering products in a risky environment /[electronic resource] :by Lech Bukowski. - Cham :Springer International Publishing :2019. - xix, 269 p. :ill., digital ;24 cm.

Introduction -- Assessment knowledge about engineered networks -- Describing engineered networks -- Designing engineered networks for the risky environment -- Evaluation of logistic networks dependability - a conceptual framework -- Application examples -- Conclusions and concluding considerations -- References -- Index.

This book synthesizes the current state of knowledge on logistics infrastructures and process modeling, especially for processes that are exposed to changing and uncertain environments. It then builds on this knowledge to present a new concept of dependable product delivery assurance. In order to quantitatively assess dependability, a service continuity oriented approach as well as an imperfect knowledge based concept of risk are employed. This approach is based on the methodology of service engineering and is closely related to the idea of the resilient enterprise, as well as the concept of disruption-tolerant operation. The practical advantages of this concept are subsequently illustrated in three sample applications: a modified FMECA method, an expert system with fuzzy reasoning, and a simulation agent-based model of logistic network resilience. The book will benefit a broad readership, including: researchers, especially in systems science, management science and operations research; professionals, especially managers; project managers and analysts; and undergraduate, postgraduate and MBA students in engineering.

ISBN: 9783030008505$q(electronic bk.)

Standard No.: 10.1007/978-3-030-00850-5doiSubjects--Topical Terms:

233497
Business logistics
--Management.

LC Class. No.: HD38.5 / .B856 2019

Dewey Class. No.: 658.5

Reliable, secure and resilient logistics networksdelivering products in a risky environment /
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245 1 0 $a Reliable, secure and resilient logistics networks $h [electronic resource] : $b delivering products in a risky environment / $c by Lech Bukowski.
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300 $a xix, 269 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Assessment knowledge about engineered networks -- Describing engineered networks -- Designing engineered networks for the risky environment -- Evaluation of logistic networks dependability - a conceptual framework -- Application examples -- Conclusions and concluding considerations -- References -- Index.
520 $a This book synthesizes the current state of knowledge on logistics infrastructures and process modeling, especially for processes that are exposed to changing and uncertain environments. It then builds on this knowledge to present a new concept of dependable product delivery assurance. In order to quantitatively assess dependability, a service continuity oriented approach as well as an imperfect knowledge based concept of risk are employed. This approach is based on the methodology of service engineering and is closely related to the idea of the resilient enterprise, as well as the concept of disruption-tolerant operation. The practical advantages of this concept are subsequently illustrated in three sample applications: a modified FMECA method, an expert system with fuzzy reasoning, and a simulation agent-based model of logistic network resilience. The book will benefit a broad readership, including: researchers, especially in systems science, management science and operations research; professionals, especially managers; project managers and analysts; and undergraduate, postgraduate and MBA students in engineering.
650 0 $a Business logistics $x Management. $3 233497
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