|
Lanci snabdevanja i logistika transporta u MSP tekstilne i odevne industrije
Supply chains and logistics of transport in sme textile and clothing industry
aUniverzitet Privredna akademija u Novom Sadu, Srbija bBetter Collective Denmark, Better Collective in Niš, Niš cUniverzitet u Beogradu, Tehnički fakultet u Boru, Srbija dAcademy of Technical Sciences in Belgrade, Belgrade
email: dragandimitrijevicnis@gmail.com
Keywords: lanci snabdevanja; logistika transporta; digitaliyacija logistike transporta
Ključne reči: supply chains; logistic of transport; digitization logistics of transport
Abstract
Danas su, u vremenima opšte globalizacije poslovanja, neophodne efikasne mere optimizacije poslovanja, kao i inovativni načini organizacije lanaca snabdevanja i sistema transporta, koji se baziraju na eksploataciji invarijantnih i adaptibilnih mogućnosti, odnosno na efikasnoj eksploataciji modula informacionih sistema, sa visokim stepenom automatizacije svih aktivnosti i sveobuhvatnom implementacijom IKT. Inače, jedna od najvažnijih karika u procesu poslovnih ili proizvodnih lanaca snabdevanja preduzeća tekstilne i odevne industrije predstavlja transport materijala i roba, koji svojim adekvatnim tehnološkim ili organizacionim rešenjima omogućava smanjenje troškova i povećanje produktivnosti i efikasnosti poslovanja, čime jača konkurentnost preduzeća. Upravo to su elementi inovativnih sistema logistike transporta koji, kao ključne komponente u lancu snabdevanja, organizuju, regulišu i nadziru proces prevoza (robe i materijala) i adekvatnog skladištenja, ali i optimizuju kontrolu procesnih zaliha, gotovih proizvoda i sirovina, uz minimalne troškove i prihvatljiv uticaj na okruženje, čime se omogućuje povećanje efektivnosti i ekonomske efikasnosti svih tehničkih i organizacijskih sistema. Na osnovu trenutnog globalng stanja industrije odeće, kao i trendova u poslovanju, budući razvoj lanaca snabdevanja i logistike transporta (svih vrsta), može se anticipirati kao difuziono rasipanje u oblasti veštačke inteligencije i virtuelnih prikaza ili kvantnog računarstva, uz samoregulisanje i preduzimanje odgovarajućih radnji, sa direktnim predviđanjem anomalija u logističkim troškovima i performansama, kao i u potrebama veštačke inteligencije i automatizacije nekih delova ili kompletnih oblasti poslovnih procesa, pri čemu će se kao rezultat nametati očigledna potreba kvantitativnokvalitativnog jačanja i povećanja sposobnosti ljudskih resursa.
Sažetak
Today, in times of general globalization of business, efficient business optimization measures are necessary, as well as innovative ways of organizing supply chains and transport systems, which are based on the exploitation of invariant and adaptable possibilities, i.e. on the efficient exploitation of information system flexibile modules, with a high degree of automation of all activities and comprehensive implementation of ICT. By the way, one of the most important links in the process of business or production supply chains for companies in the textile and clothing industry is the transport of materials and goods, which with its adequate technological or organizational solutions enables cost reduction and increase in productivity and business efficiency, thereby strengthening the competitiveness of the company. These are precisely the elements of innovative logistics of transport systems that, as key components in the supply chain organize, regulate and monitor the process of transport (goods and materials) and adequate storage, but also optimize the control of process stocks, finished products and raw materials, with minimal costs and acceptable impact on the environment, which enables an increase in the effectiveness and economic efficiency of all technical and organizational systems. Based on the current global state of the clothing industry, as well as trends in business, the future development of supply chains and logistics of transport (of all kinds) can be anticipated as a diffusion spillover in the field of artificial intelligence and virtual show or quantum computing, with self-regulation and taking appropriate actions, with a direct prediction of anomalies in logistics costs and performance, as well as in the needs of artificial intelligence and automation of some parts or complete areas of business processes, whereby as a result, the obvious need for quantitative-qualitative strengthening and increasing the capabilities of human resources will be imposed.
|