文档介绍：Chapter 5
SUPPLY CHAIN PRODUCTION
PLANNING MODELING FACILITY LEAD
TIME AND QUALITY OF SERVICE
Osman M. Anli
Michael C. Caramanis
Ioannis Ch. Paschalidis
Abstract We propose a decision support framework for the Supply Chain man-
agement of a manufacturing enterprise. It utilizes structured informa-
tion sharing between a fluid approximation Master-Problem and facility
specific Sub-Problems. We optimize weekly production schedules that
minimize inventory and backlog costs subject to non-linear constraints
on production imposed by weekly varying dynamic lead-times and inter-
facility quality of service driven inventory hedging policies. Computa-
tional experience demonstrates that it is possible to achieve the same
quality of service with significantly lower inventory and system times
relative to static lead-time state of the art industry practice.
1. Introduction
Motivation and objectives
Modern manufacturing enterprises are ing more global than
ever. They pass owned or contract manufacturing and trans-
portation facilities, suppliers, distributors, and customer service centers
scattered over the globe. Manufacturers are no longer the sole drivers
of the Supply Chain (SC). A shift from a "push" to a "pull" environ-
ment is well on its way. Customer needs and preferences influence the
SC's inner workings: product functionality, quality, speed of produc-
tion, timeliness of deliveries, flexibility in adjusting to demand changes.
In today's petitive marketplace, companies are challenged
with achieving shorter order-to-delivery times while allowing customers
to customize their orders. Manufacturers recognize the significance of
92 ANALYSIS, CONTROL, AND OPTIMIZATION
short Lead Times and high Quality of Service (QoS) provisioning. Fur-
thermore, time-petition has had a significant impact on the
design of production facilities (Product Cells) and their operation (Just
In Time, Zero In Process I