On modelling non-linear quantity discounts in a supplier selection problem by mixed linear integer optimization
DOI10.1007/s10479-015-1941-2zbMath1381.90044OpenAlexW2216329155MaRDI QIDQ1686496
David Canca, Pedro Luis González-R, José Luis Andrade-Pineda
Publication date: 15 December 2017
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-015-1941-2
Mixed integer programming (90C11) Linear programming (90C05) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10)
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Cites Work
- A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts
- Supplier selection and procurement decisions with uncertain demand, fixed selection costs and quantity discounts
- Modeling disjunctive constraints with a logarithmic number of binary variables and constraints
- Exact algorithms for procurement problems under a total quantity discount structure
- Supplier selection and order lot sizing modeling: a review
- Nonconvex, lower semicontinuous piecewise linear optimization
- A general quantity discount and supplier selection mixed integer programming model
- An improved Benders decomposition applied to a multi-layer network design problem
- Multi-criteria decision making approaches for supplier evaluation and selection: a literature review
- Solving the staircase cost facility location problem with decomposition and piecewise linearization
- The deterministic multi-item dynamic lot size problem with joint business volume discount
- Approximately global optimization for assortment problems using piecewise linearization techniques
- Compact bidding languages and supplier selection for markets with economies of scale and scope
- Minimum concave-cost network flow problems: Applications, complexity, and algorithms
- A network approach modeling of multi-echelon spare-part inventory system with backorders and quantity discount
- Speed-up Benders decomposition using maximum density cut (MDC) generation
- Locally ideal formulations for piecewise linear functions with indicator variables
- A heuristic for single-warehouse multiretailer supply chains with all-unit transportation cost discounts
- Network design and flow problems with cross-arc costs
- Using Piecewise Linear Functions for Solving MINLPs
- Combinatorial Benders Cuts for the Minimum Tollbooth Problem
- Effective Zero-Inventory-Ordering Policies for the Single-Warehouse Multiretailer Problem with Piecewise Linear Cost Structures
- A Comparison of Mixed-Integer Programming Models for Nonconvex Piecewise Linear Cost Minimization Problems
- A Branch-and-Cut Algorithm Without Binary Variables for Nonconvex Piecewise Linear Optimization
- Variable Disaggregation in Network Flow Problems with Piecewise Linear Costs
- A composite algorithm for a concave-cost network flow problem
- New formulation and relaxation to solve a concave-cost network flow problem
- Capacitated Network Design—Polyhedral Structure and Computation
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