An integrated supply chain production-distribution planning with stochastic demands

被引：53

作者：

Nasiri, G. Reza ^{[1
]}

Zolfaghari, Rohollah ^{[1
]}

Davoudpour, Hamid ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Ind Engn & Management Syst, Tehran, Iran

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2014年 / 77卷

关键词：

Supply chain management; Production-distribution planning; Lagrangian Relaxation; Genetic algorithm; Hierarchical planning; HYBRID GENETIC ALGORITHM; NETWORK DESIGN; MULTIOBJECTIVE OPTIMIZATION; FACILITY LOCATION; MULTITIME PERIOD; MODEL; FORMULATION; MANAGEMENT; ALLOCATION; DECISIONS;

D O I：

10.1016/j.cie.2014.08.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper a three echelon supply chain with multiple distribution centers, production sites and suppliers is modeled. For this supply chain several commodities with defined items is produced. The model is categorized as a capacitated facility location model. The hierarchical approach is used to modeling and based on decision types the model is divided into two levels. The solution approach is based on the Lagrangian Relaxation approach, improved by an efficient heuristic to solve complex sub-problems. Computational results indicated that the proposed method yields high-quality solutions within a reasonable computational time for various real size problems. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：35 / 45

页数：11

共 41 条

[1] Designing a distribution network in a supply chain system: Formulation and efficient solution procedure [J].

Amiri, A .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 171 (02) :567-576

[2]

[Anonymous], THESIS U WATERLOO WA

[3] Supply chain design and analysis: Models and methods [J].

Beamon, BM .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1998, 55 (03) :281-294

[4] Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem [J].

Bilgen, Bilge .

EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (06) :4488-4495

[5] A memetic algorithm with dynamic population management for an integrated production-distribution problem [J].

Boudia, M. ;

Prins, C. .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 195 (03) :703-715

[6] Coordination of production planning and distribution [J].

Boudia, Mourad .

4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2008, 6 (01) :93-96

[7] Production planning using a hybrid simulation - analytical approach [J].

Byrne, MD ;

Bakir, MA .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1999, 59 (1-3) :305-311

[8] A hybrid genetic algorithm for production and distribution [J].

Chan, FTS ;

Chung, SH ;

Wadhwa, S .

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2005, 33 (04) :345-355

[9] Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices [J].

Chen, CL ;

Lee, WC .

COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (6-7) :1131-1144

[10]

Daskin M.S., 1995, NETWORK DISCRETE LOC

← 1 2 3 4 5 →