Унапређење малопродајних операција: Динамичке стратегије испуњења у омниканалној малопродаји

  • Hümeysa İskender ...
  • Sinem Dayanıklı ...
  • Abdullah Hulusi Kökçam ...
  • Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj https://orcid.org/0000-0003-4452-5768
  • Safiye Turgay ....
  • Mahmut Baydaş Department of Accounting and Financial Management Necmettin Erbakan University Necmettin Erbakan University Yeni Meram Boulevard Kasım Halife Street 42090 Meram / KONYA
  • Jasmina Bunevska Talevska Faculty of Technical Sciences, University St.Kliment Ohridski Bitola 7000 Bitola, North Macedonia
Ključne reči: одлучивање, динамичко програмирање, генетски алгоритам, омниканални маркетинг, испуњење наруџби

Sažetak


Ова студија истражује тренд допуњавања у продавницама у омниканалној малопродаји, где се залихе оближњих продавница користе за испуњавање онлајн поруџбина. Овај модел представља предности као што су бржа испорука, смањење трошкова, побољшано управљање залихама, повећана продаја и повећано задовољство купаца. Оперативни изазови укључују одређивање оптималне локације за испуњавање онлајн поруџбина. Истражујући малопродају са онлајн и класичним продавницама, овај рад се бави одлукама о динамичком испуњавању поруџбина с обзиром на неизвесност потражње купаца и трошкова испоруке. Студија користи стохастичко динамичко програмирање за краће периоде и генетски алгоритам за дуже периоде, откривајући да генетски алгоритам пружа решења која се блиско приближавају оптималним.

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2025/06/04
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