Carnegie Mellon University
Browse
- No file added yet -

Balancing Responsiveness and Economics in Process Supply Chain Design with Multi-Echelon Stochastic Inventory

Download (391.95 kB)
journal contribution
posted on 2009-09-01, 00:00 authored by Fengqi You, Ignacio E. Grossmann

This paper is concerned with the optimal design of multi-echelon process supply chains (PSCs) under economic and responsive criteria with considerations of inventory management and demand uncertainty. The multi-echelon stochastic inventory systems are modeled with the guaranteed service approach and the maximum guaranteed service time of the last echelon of the PSC is proposed as a measure of a PSC’s responsiveness. We compare the proposed measure with the expected lead time, and formulate a bi-criterion mixed-integer nonlinear program (MINLP) with the objectives of minimizing the annualized cost (economic objective) and minimizing the maximum guaranteed service times of the markets (responsiveness objective) for the optimal design of responsive process supply chains with inventories. The model simultaneously predicts the optimal network structure, transportation amounts and inventory levels under different specifications of the PSC responsiveness. An example on acetic acid supply chain is presented to illustrate the application of the proposed model and to comprehensively compare different measures of PSC responsiveness.

History

Publisher Statement

This is the accepted version of the article which has been published in final form at http://dx.doi.org/10.1002/aic.12244

Date

2009-09-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC