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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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Copyright (c) 2024 Drago Pupavac, Jasmin Pašagić Škrinjar, Ratko Zelenika

Dynamic Optimization in Supply Chains

Authors:Drago Pupavac, Jasmin Pašagić Škrinjar, Ratko Zelenika

Abstract

Production and stock optimization in supply chains representsextremely complex problem, because it determines the optimumquantity production in time. Due to their multilevelednature, those problems are mostly solved by application of differentmethods and models of dynamic programming. Theproblem addressed in this scientific debate refers to determinationof optimum quantity of production and stocks within thesupply chain in a certain period of time, as well as in eachsub-interval of the said period, but with the condition that theproduction and stock expenditure remains minimal and thatthe predetermined demand in every sub-interval and throughoutthe entire observation period remains satisfied.

Keywords:

References

  1. Dobrenic, S.: Operativno istraiivanje, Fakultet organizacije

    i informatike, Varazdin, 1978.

    Heizer,J., Render, B.: Operations Management, seventh

    edition, New Jersey, 2004.

    (3] Kalihman, I. L., Voitenko, M.A.: Dinamiceskoe programirovanie

    v primerah i zadacah, Moskva, Vissaja Skola,

    (4] Kalpic, D., Mornar, V.: Operacijska istraiivanja, Zeus,

    Zagreb, 1996.

    (5] Lee, B. C.: Demand Chain Optimatization: Pitfalls and

    key Principles, NONSTOP Solution Inc., White paper,

    (6] Pasagic, H.: Matematicke metode u prometu, Fakultet

    prometnih znanosti Sveucilista u Zagrebu, 2003.

    Pupavac, D., Zelenika, R.: Upravljanje ljudskim potencijalima u prometu, Veleuciliste u Rijeci, Rijeka, 2004.

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