A. Kusiak, M. Bielli

Designing Innovations in Industrial Logistics Modelling

• Gebundenes Buch

Produktbeschreibung

Designing Innovations in Industrial Logistics Modelling describes practical methods for approaching the task of designing industrial logistics systems. It surveys the development of logistics models and their application in manufacturing to designing, planning, and implementing the movement of supplies, equipment, and products.
This text/reference book discusses the combination of operation and production research to obtain solutions for designing and integrating advanced logistics systems. It provides the reader with a set of prescriptive and descriptive models and methods that have been developed exclusively for the purpose of designing, managing, and optimizing the architecture of such advanced systems.
The design and application of new tools and methods is presented in such a way that emphasizes the competitiveness of manufacturing industries, and case studies are presented in a manner that demonstrates successful models and methods in advanced industrial logistics systems. In addition, Designing Innovations in Industrial Logistics Modelling explains the various formal tools and methodologies employed in evaluating new programs and covers program management and dynamic evaluation techniques.

Produktdetails

• Mathematical Modeling
• Verlag: CRC Press
• Artikelnr. des Verlages: 8335
• Seitenzahl: 288
• Erscheinungstermin: 10. Oktober 1996
• Englisch
• Abmessung: 246mm x 156mm x 21mm
• Gewicht: 592g
• ISBN-13: 9780849383359
• ISBN-10: 0849383358
• Artikelnr.: 21195410

Autorenporträt

A. Kusiak (University of Iowa) (Author) , M. Bielli (Inst.Anal/Systems & Info - CNR, Rome, Italy)

Inhaltsangabe

Problems and Trends in the Design of Innovation Programs in Logistics: Research Perspectives in Industrial Logistics Design. Time-Based Approach in Designing and Validating Order Bound Logistics Systems. The Factory in Triplicate. Models and Tools for Designing Innovations in Logistics: An Optimal Decision Rule for Reallocation of Experts. Petri-Net Models for Logistic Planning. On Solving Stochastic Production Planning Problems via Scenario Modeling. Case Studies: Development of a Design Methodology for Tool Logistic Systems in Flexible Manufacturing. A Project for a Logistic Integrated Network for Decisions Enhancement (LINDEN). An Integrated Approach to Design Innovation in Industrial Logistics. A Conceptual Model for One of a Kind and Batch Production. Information Technologies for Managing and Promoting Innovations in Logistics: Managing the Use of Information Technology to Promote Process Innovation. Managing Innovation in CIM Environments. Index.