Zobrazeno 1 - 10
of 1 425
pro vyhledávání: '"Supply chain optimization"'
Autor:
Wu, Yanhong, Wang, Renlan
Publikováno v:
Management Decision, 2023, Vol. 62, Issue 9, pp. 2737-2762.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-02-2023-0250
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 15, Iss 4, Pp 909-930 (2024)
Assembly buildings, in the context of the low-carbon transformation of the construction industry, achieve superior outcomes in terms of carbon emission reduction, enhancement of building uniformity, and optimization of resource utilization as compare
Externí odkaz:
https://doaj.org/article/1325e69d59d54104ab70fc39b75f950e
Publikováno v:
Production Engineering Archives, Vol 30, Iss 1, Pp 127-135 (2024)
The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the study was to offer empirical evidence and insights into the advantages and obstacles linked
Externí odkaz:
https://doaj.org/article/e8b7f8c509104fa2b4b196b7a5afce78
Autor:
Massimiliano Caramia, Giuseppe Stecca
Publikováno v:
Supply Chain Analytics, Vol 6, Iss , Pp 100064- (2024)
Green Supply Chain Management requires coordinated decisions between the strategic and operational organization layers to address strict green goals. Furthermore, linking CO2 emissions to supply chain operations is not always easy. This study propose
Externí odkaz:
https://doaj.org/article/eb71c6c643144566a3bdb4acfc512d4d
Publikováno v:
IEEE Access, Vol 12, Pp 134549-134567 (2024)
Managing various aspects of the Supply Chain (SC) has become increasingly challenging in today’s complex business landscape. To improve profitability, boost sales, and enhance customer satisfaction, it is crucial to explore future possibilities by
Externí odkaz:
https://doaj.org/article/04ff80633f824a0c96dffea38c7f653c
Autor:
Theodor Petřík, Martin Plajner
Publikováno v:
Ekonomski Vjesnik, Vol 37, Iss 1, Pp 139-150 (2024)
Purpose: This article introduces an innovative method designed to optimize distribution strategies with respect to future uncertainty. It goes beyond the limitations of traditional scenario-based planning that often leads to suboptimal strategies due
Externí odkaz:
https://doaj.org/article/a948a076ce5c404ca8ce07d3900ed6ee
Publikováno v:
IEEE Access, Vol 12, Pp 36974-36989 (2024)
The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating operational efficiency, driving cost reductions, and enhancing customer satisfaction. It is a renowned challenge with diverse real-world applications, where the core obje
Externí odkaz:
https://doaj.org/article/76523e9235cf4070a6a5fdef7188ad5d
Publikováno v:
Logistics, Vol 8, Iss 3, p 73 (2024)
Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more adva
Externí odkaz:
https://doaj.org/article/d28b374f74404fa184185c25b4b938e8
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 8, p 81 (2024)
In today’s dynamic business environment, the accurate prediction of sales orders plays a critical role in optimizing Supply Chain Management (SCM) and enhancing operational efficiency. In a rapidly changing, Fast-Moving Consumer Goods (FMCG) busine
Externí odkaz:
https://doaj.org/article/5605ca3129464d3b9618811af8c24015