Dynamic Optimization in Supply Chains
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.References
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.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
