Constructing integer programming models by the predicate calculus
Annals of Operations Research
Dynamic factorization in large-scale optimization
Mathematical Programming: Series A and B
Logic cuts for processing networks with fixed charges
Computers and Operations Research
Computational logic and integer programming
Advances in linear and integer programming
A genetic algorithm approach for multi-objective optimization of supply chain networks
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
Strategic level three-stage production distribution planning with capacity expansion
Computers and Industrial Engineering
A class of random fuzzy programming and its application to supply chain design
Computers and Industrial Engineering
A genetic algorithm approach for multi-objective optimization of supply chain networks
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Hybrid algorithm for discrete event simulation based supply chain optimization
Expert Systems with Applications: An International Journal
A rough set based approach to distributor selection in supply chain management
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Information Sciences: an International Journal
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This paper proposes a strategic production-distribution model for supply chain design with consideration of bills of materials (BOM). Logical constraints are used to represent BOM and the associated relationships among the main entities of a supply chain such as suppliers, producers, and distribution centers. We show how these relationships are formulated as logical constraints in a mixed integer programming (MIP) model, thus capturing the role of BOM in the selection of suppliers in the strategic design of a supply chain. A test problem is presented to illustrate the effectiveness of the formulation and solution strategy. The results and their managerial implications are discussed.