A supply chain management model to optimise the sorting capability of a ‘third party logistics’ distribution centre

Yadavalli, Venkata S. Sarma; Balcou, C.

doi:10.4102/sajbm.v48i1.22

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…Many examples of the use of simulations in logistics and activities are published in the publications. The authors Yadavalli et al (2017), in their work, provide an outline of a solution to the problem facing 3PL (logistics sorting as a service), who process different types of packages within their distribution centres. In their work, they dealt with the application of a technique that provides assistance in making the optimal capacity of equipment for sorting the types of consignments to ensure that the company retains transparency and the ability to continuously meet the expectations of customers and the agreements prescribed.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Logistics Process in Context of Smart Logistics by Using Computer Simulation – Case Study

Grznár

Mozol

Schickerle

et al. 2020

PEB

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In the conditions of shipment processing it is important to observe the timetable of dispatch in which the entire processing process is going on. Each element of the processing system is important and it is linked with others by time. This means that the delay of one element causes an avalanche effect. The use of computer simulation helps in optimizing processing processes as a whole. This helps to detect regularities and bottlenecks that have been previously overlooked. The concept of Smart Logistics as part of the Smart Factory using simulation as a tool to estimate the future behaviour of the system. The article describes its own system for determining the number of staff to perform the required activities within the processing process. On the basis of the actual number of shipments, the arrival times and the processing system data, a solution can be described using a simulation tool to determine the number of workers. The simulation helps us to design the number of workers so that they observe the times of truck departures from the processing depot. This guarantees compliance with the timetable at minimum labour costs.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of Logistics Process in Context of Smart Logistics by Using Computer Simulation – Case Study

Grznár

Mozol

Schickerle

et al. 2020

PEB

View full text Add to dashboard Cite

show abstract

“…Such a company will ensure customer satisfaction mainly by fast delivery, suitable packaging of the consignment and, last but not least, the lowest price. This is why it is crucial to continually improve said company's logistics processes [4,5]. In a delivery company, every process is closely linked; it must therefore respond flexibly to every change and error in the process [6].…”

Section: Introductionmentioning

confidence: 99%

The Use of a Genetic Algorithm for Sorting Warehouse Optimisation

et al. 2021

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In the last decade, simulation software as a tool for managing and controlling business processes has received a lot of attention. Many of the new software features allow businesses to achieve better quality results using optimisation, such as genetic algorithms. This article describes the use of modelling and simulation in shipment and sorting processes that are optimised by a genetic algorithm’s involvement. The designed algorithm and simulation model focuses on optimising the duration of shipment processing times and numbers of workers. The commercially available software Tecnomatix Plant Simulation, paired with a genetic algorithm, was used for optimisation, decreasing time durations, and thus selecting the most suitable solution for defined inputs. This method has produced better results in comparison to the classical heuristic methods and, furthermore, is not as time consuming. This article, at its core, describes the algorithm used to determine the optimal number of workers in sorting warehouses with the results of its application. The final part of this article contains an evaluation of this proposal compared to the original methods, and highlights what benefits result from such changes. The major purpose of this research is to determine the number of workers needed to speed up the departure of shipments and optimise the workload of workers.

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“…Most researchers agree that strategic management of logistics solutions under current conditions should be carried out considering the influence of the disturbance flow on the performance of logistics processes, which requires the use of appropriate management models (Christopher, 2011;Gavrilova et al, 2014;Sergeyev, 2016;Śliwczyński, 2010;Yadavalli & Balcou, 2017). The decision-making process should be based on monitoring and analysis of environmental factors, identifying cause-effect relationships and the degree of their influence on resulting indicators of logistics processes.…”

Section: Theoretical Basismentioning

confidence: 99%

Improving the management technique of logistics planning in the supply chain

Sosunova

Noskov

Goryacheva

et al. 2018

Problems and Perspectives in Management

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The multidimensionality of transformations that take place, the diversity of destabilizing factors in the environment reduce reliability, sustainability, efficiency of both logistics processes and the entire production and economic activity, and they need their modern economic reflection. The successful activity in the unstable economic environment is impossible without proper strategic analysis and the formation of the effective management system that requires the search for new techniques, the development of logistics-oriented concepts, management approaches to logistics processes that can ensure the goals achievement under the continuous systemic development and disturbance flow. The goal of the research is to improve the technique and develop a management model for logistics processes, considering the effect of the disturbance flow. In accordance with the goal, it is necessary to solve the following scientific problems: to reveal the patterns of logistics processes for the formation of a signal system on management points within the framework of management structures; to develop components of the management technique for logistics processes, taking into account the disturbance flow; to systematize and supplement the principles of logistics processes for the formation of the rational totality of components in the management technique. Thus, the implementation of the proposed management technique for logistics processes will lead to the formation of optimal management impacts within each element, subsystem and the entire structure of the supply chain, ensuring the sustainable development vector at each time period and achieving the goals set under the influence of the disturbance flow, adaptability, flexibility and efficiency of processes.

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A supply chain management model to optimise the sorting capability of a ‘third party logistics’ distribution centre

Cited by 8 publications

References 3 publications

Optimization of Logistics Process in Context of Smart Logistics by Using Computer Simulation – Case Study

Optimization of Logistics Process in Context of Smart Logistics by Using Computer Simulation – Case Study

The Use of a Genetic Algorithm for Sorting Warehouse Optimisation

Improving the management technique of logistics planning in the supply chain

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