Integrated Models in Production Planning, Inventory, Quality, and Maintenance

Production planning, inventory management, quality control, and maintenance policy are critical components of the manufacturing system. The effective integration of these four components gives a manufacturing operation the competitive edge in today's global market place. Integrated Models in Pr...

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Bibliographic Details
Other Authors: Rahim, M.A. (Editor), Ben-Daya, Mohamed (Editor)
Format: eBook
Published: New York, NY Springer US 2001, 2001
Edition:1st ed. 2001
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • I Introduction
  • 1 Integrated Production, Quality & Maintenance Models: An Overview
  • II Production and Maintenanace
  • 2 Computation Algorithms of Cost-Effective EMQ Policies with PM
  • 3 Optimal Control Policy for a General EMQ Model with RandomMachine Failure
  • 4 A Production/Inventory Policy for an Unreliable Machine
  • 5 Integrating Maintenance, Lot Sizing and Production Planning for a Single Machine Multi-Product System
  • 6 Optimal Models of Preventive Maintenance and Replacement Policies
  • III Production/Inventory and Quality
  • 7 An Integrated Economic Model for Inventory and Statistical Process Control
  • 8 A Generalized Integrated Economic Model for Inventory and Quality Control Problems
  • 9 Optimal Inventory Ordering Policies for Quality-Dependent Markets
  • 10 Manufacturing System Modeling and Control
  • 11 A Single Period Inventory Model to Account for Demand Surprises
  • IV Quality and Maintenance
  • 12 Improving and Maintaining Process Profitability
  • 13 A Simple Model for the Effect of Manufacturing Process Quality on Product Reliability
  • V Warranty, Manufacturing and Quality
  • 14 Warranty and Manufacturing
  • 15 Warranty and Quality
  • VI Quality
  • 16 SPC-based Diagnosis of Processes with Multiple Concurrent Dysfunctional Steps
  • 17 Stepwise-Programmed Regulation of Manufacturing Quality
  • 18 Simultaneous Monitoring Of Mean And Variance through Optimally Designed SPRT Charts