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Scheduling in Supply Chains Using Mixed Integer Programming

in supply chains. Featuring a unified and systematic presentation, Scheduling in Supply Chains Using Mixed Integer Programming provides state-of-the;

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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming;

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Supply Chain Disruption Management

management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming;

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Business Optimization Using Mathematical Programming

, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed;

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Optimization Modeling For Supply Chain Management

responsible for developing and/or maintaining such tools, and consultants who conduct supply chain studies using models. Shapiro examines in detail;

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Modeling The Supply Chain

responsible for developing and/or maintaining such tools, and consultants who conduct supply chain studies using models. Shapiro examines in detail;

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Scheduling in Green Supply Chain Management

while simultaneously working to reconcile economic and environmental priorities. It introduces a new mixed-integer approach to hierarchical;

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Personnel scheduling of cleaning workforces in hospitals

of the Operations Research (OR) field. In this book a Mixed-Integer Linear programming model (MIP-model) is presented to reduce personnel costs;

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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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Linear and Integer Programming

Combines the theoretical and practical aspects of linear and integer programming. Provides practical case studies and techniques, including;

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Relaxation Methods for Pure and Mixed Integer Programming Problems

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Supply Chain Strategies, Issues and Models

In the 21st century, supply chain operations and relationships among supply chain partners have become highly challenging, necessitating;

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Supply Chain Strategies, Issues and Models

In the 21st century, supply chain operations and relationships among supply chain partners have become highly challenging, necessitating;

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Chemical Production Scheduling

field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the;

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Column Generation

Machine Scheduling. The final chapter by Francois Vanderbeck, Implementing Mixed Integer Column Generation, reviews how to set-up the Dantzig;

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Linear Programming and Algorithms for Communication Networks

be tackled by integer linear programming (ILP) Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear;

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Linear Programming and Algorithms for Communication Networks

be tackled by integer linear programming (ILP) Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear;

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Applied Integer Programming

for professionals, software developers, and analysts who need to model and solve real-world optimization problems using integer-programming;

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Operational Research

-integer programming, data envelopment analysis, clustering techniques, hybrid heuristics, supply chain management and lot sizing, as well as job;

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Supercharged Supply Chains - Discover Unparalleled Business Planning and Execution Practices

Provides unparalleled practices for all supply chains from leading consultancy Oliver Wight, more important than ever in the post-COVID;

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Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty

book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to;

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Integer Programming

to maximize profit, and the final article contains an overview of noncommercial software tools for the solution of mixed-integer linear;

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Complex Scheduling

and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search;

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Disjunctive Programming

solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with;

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Operational Research

gap between academic research and practical applications. Of particular interest are the applications of, nonlinear and mixed-integer;

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Operational Research

-integer programming, data envelopment analysis, clustering techniques, hybrid heuristics, supply chain management and lot sizing, as well as job;

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Exploring the Impacts of Supply Information Sharing

rarely been made into supply-side information sharing. In this research, a simulation model with mixed-integer programming was built to simulate;

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