Pages that link to "Item:Q817182"

The following pages link to Mixed integer linear programming in process scheduling: modeling, algorithms, and applications (Q817182):

Displaying 44 items.

• Dynamic resource allocation: a flexible and tractable modeling framework (Q299823) (← links)
• A multi-objective interactive system for adaptive traffic control (Q319419) (← links)
• Mixed integer programming models for job shop scheduling: A computational analysis (Q342439) (← links)
• A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants (Q346031) (← links)
• Discrete and continuous time representations and mathematical models for large production scheduling problems: a case study from the pharmaceutical industry (Q421674) (← links)
• MILP-based approaches for medium-term planning of single-stage continuous multiproduct plants with parallel units (Q601970) (← links)
• Optimization framework for process scheduling of operation-dependent automobile assembly lines (Q691498) (← links)
• Integrated production and distribution planning in the fast moving consumer goods industry: A block planning application (Q708871) (← links)
• A mixed integer programming model for advanced planning and scheduling (APS) (Q872302) (← links)
• A two pass heuristic algorithm for scheduling `blocked out' units in continuous process industry (Q940895) (← links)
• MILP-based campaign scheduling in a specialty chemicals plant: a case study (Q1017962) (← links)
• MIP modelling of changeovers in production planning and scheduling problems (Q1278814) (← links)
• Solving a large-scale industrial scheduling problem using MILP combined with a heuristic procedure (Q1600885) (← links)
• Satisfiability modulo theory (SMT) formulation for optimal scheduling of task graphs with communication delay (Q1652451) (← links)
• Algorithms for electric vehicle scheduling in large-scale mobility-on-demand schemes (Q1711890) (← links)
• Multimodal processes prototyping subject to grid-like network and fuzzy operation time constraints (Q1730680) (← links)
• Water-integrated scheduling of batch process plants: modelling approach and application in technology selection (Q1744509) (← links)
• The complexity landscape of decompositional parameters for ILP (Q1749387) (← links)
• Planning and scheduling of multistage multiproduct batch plants operating under production campaigns (Q1761766) (← links)
• An MILP continuous-time framework for short-term scheduling of multipurpose batch processes under different operation strategies (Q1826340) (← links)
• Efficient scheduling of consumer goods manufacturing processes in the continuous time domain. (Q1868819) (← links)
• Discrete and continuous-time formulations for dealing with break periods: preemptive and non-preemptive scheduling (Q1999390) (← links)
• The decision rule approach to optimization under uncertainty: methodology and applications (Q2010368) (← links)
• A new heuristic and an exact approach for a production planning problem (Q2051214) (← links)
• Preprocessing algorithm and tightening constraints for multiperiod blend scheduling: cost minimization (Q2182860) (← links)
• Model predictive scheduling of semi-cyclic discrete-event systems using switching max-plus linear models and dynamic graphs (Q2220346) (← links)
• The complexity landscape of decompositional parameters for ILP: programs with few global variables and constraints (Q2238737) (← links)
• An efficient MILP-based decomposition strategy for solving large-scale scheduling problems in the shipbuilding industry (Q2302367) (← links)
• Adjustable robust optimization for multi-tasking scheduling with reprocessing due to imperfect tasks (Q2302369) (← links)
• Multi-process production scheduling with variable renewable integration and demand response (Q2329494) (← links)
• A robust optimization approach to wine grape harvesting scheduling (Q2379552) (← links)
• Joint optimization of pricing and planning decisions in divergent supply chain (Q2865167) (← links)
• Mixed Integer Programming Approach to Multiprocessor Job Scheduling with Setup Times (Q3133223) (← links)
• A MIXED-INTEGER LINEAR PROGRAMMING (MILP) MODEL FOR SHORT-RANGE PRODUCTION SCHEDULING OF CEMENT QUARRY OPERATIONS (Q3580199) (← links)
• Incorporating the strength of MIP modeling in schedule construction (Q3644815) (← links)
• (Q3771966) (← links)
• Reformulation of the Multiperiod MILP Model for Capacity Expansion of Chemical Processes (Q3990572) (← links)
• A Combinatorial Approach for Small and Strong Formulations of Disjunctive Constraints (Q5108220) (← links)
• Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains (Q5162163) (← links)
• Exact mathematical formulations and metaheuristic algorithms for production cost minimization: a case study of the cable industry (Q5257894) (← links)
• Multistart global optimization with tunnelling and an evolutionary strategy supervised by a martingale (Q6048201) (← links)
• Scalable timing-aware network design via Lagrangian decomposition (Q6112744) (← links)
• Automatic MILP Solver configuration by learning problem similarities (Q6589112) (← links)
• Globally optimal scheduling of an electrochemical process via data-driven dynamic modeling and wavelet-based adaptive grid refinement (Q6640185) (← links)