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Business planning --- Time management --- Mathematical models --- Allocation of time --- Budgets, Time --- Personal time management --- Time --- Time allocation --- Time budgets --- Time use --- Use of time --- Management --- Personal information management --- Organization --- Use of --- Mathematical models. --- Business planning - Mathematical models --- Time management - Mathematical models

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Planning (firm) --- Corporate planning --- Mathematical models --- Data processing --- Business planning --- 65.01 --- -Business planning --- -Business enterprises --- Business plans --- Corporate strategy --- Corporations --- Strategy, Corporate --- Planning --- Strategic planning --- Methods and methodology. Theory and practice of organization --- -Methods and methodology. Theory and practice of organization --- 65.01 Methods and methodology. Theory and practice of organization --- -65.01 Methods and methodology. Theory and practice of organization --- Business enterprises --- Mathematical models. --- Data processing. --- Business planning - Mathematical models --- Business planning - Data processing

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Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries; for example, pharmaceutical, chemical, transportation, and shipping, to name a few. This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization. This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science.

Business logistics. --- Business planning --Mathematical models. --- Business logistics --- Business planning --- Civil & Environmental Engineering --- Management --- Business & Economics --- Engineering & Applied Sciences --- Operations Research --- Management Theory --- Mathematical models --- Mathematical models. --- Supply chain management --- Mathematics. --- Business. --- Management science. --- Operations research. --- Decision making. --- Computer mathematics. --- Mathematical optimization. --- Engineering. --- Industrial engineering. --- Production engineering. --- Optimization. --- Industrial and Production Engineering. --- Engineering, general. --- Computational Mathematics and Numerical Analysis. --- Business and Management, general. --- Operation Research/Decision Theory. --- Industrial management --- Logistics --- Computer science --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Trade --- Economics --- Commerce --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Construction --- Industrial arts --- Technology --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Mathematics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Quantitative business analysis --- Statistical decision --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Decision making