Multi-period Multi-sourcing Supply Planning with Stochastic Lead-Times, Quantity-Dependent Pricing, and Delivery Flexibility Costs

被引：0

作者：

Bettayeb, Belgacem ^{[1
]}

Ben-Ammar, Oussama ^{[2
]}

Dolgui, Alexandre ^{[3
]}

机构：

[1] CESI Lille, EA 7527, LINEACT CESI, 8 Blvd Louis XIV, F-59046 Lille, France

[2] Univ Clermont Auvergne, Mines St Etienne, CNRS UMR 6158 LIMOS, Ctr CMP,Dept SFL, F-13541 Gardanne, France

[3] IMT Atlantique, LS2N, UMR CNRS 6004, Chantrerie,4 Rue Alfred Kastler, F-44300 Nantes, France

来源：

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I | 2021年 / 630卷

关键词：

Supply planning; Multi-sourcing; Stochastic lead-times; Digressive pricing; Delivery flexibility; CHAIN UNCERTAINTY; SELECTION; MODEL;

D O I：

10.1007/978-3-030-85874-2_54

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work studies the problem of multi-period multi-sourcing supply planning with stochastic lead-times, quantity-dependent pricing, and delivery flexibility costs. We present a problem formulation that takes also into account holding and backlog costs and finite capacities of suppliers. The objective is to minimize the expected total cost while respecting suppliers' capacity constraints and satisfying customer demand. In this paper, the proposed stochastic integer linear program is detailed and the first results of experiments are presented and discussed.

引用

页码：511 / 518

页数：8

共 15 条

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