Comprehensive Design of an Order Picking Line by Simulation

Kawczynski, Lukasz; Aguilar-Sommar, Ruth

doi:10.3182/20060517-3-fr-2903.00196

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…) and job assignment (Rubrico, 2011;Matusiak et al, 2017 etc.). Thus, the picking process is a complex topic, still inexhaustible, and undoubtedly affects the customer service process (Kawczyński and Aguilar-Sommar, 2006), which is related to the effectiveness of the entire supply chain.…”

Section: Picking Order System In Simulationmentioning

confidence: 99%

Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

Daroń

2022

Production Engineering Archives

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Appropriate logistics planning is a key factor influencing the quality and efficiency of processes in manufacturing companies. Logistics planning can be defined as the process of making significant decisions (concerning both logistics processes and resources) for the functioning of an organization. It is a process consisting of stages in which important decisions are made regarding the optimization of all activities of the company, including in the field of: production, supply, sales, distribution, transport. The main goal of logistics activities is to minimize the operating costs incurred, as well as to better manage human resources. The main aim of the article is to present the legitimacy of using selected simulation software as an actual tool in making logistic decisions in the field of order picking system (OPS) based on a case study. For research purposes, a model was prepared in FlexSim and there were applied S-shape and Return routing methods. Based on simulation results, an analysis of the selected process was carried out. The obtained results indicate possible directions of changes and allow to make the right decision in the field of planning logistics processes.

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Section: Picking Order System In Simulationmentioning

confidence: 99%

Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

Daroń

2022

Production Engineering Archives

View full text Add to dashboard Cite

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Sensitivity Analysis of Selected Parameters in the Order Picking Process Simulation Model, with Randomly Generated Orders

Kostrzewski

2020

Entropy

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Sensitivity analysis of selected parameters in simulation models of logistics facilities is one of the key aspects in functioning of self-conscious and efficient management. In order to develop simulation models adequate of real logistics facilities’ processes, it is important to input actual data connected to material flows on entry to models, whereas most models assume unified load units as default. To provide such data, pseudorandom number generators (PRNGs) are used. The original generator described in the paper was employed in order to generate picking lists for order picking process (OPP). This ensures building a hypothetical, yet close to reality process in terms of unpredictable customers’ orders. Models with applied PRNGs ensure more detailed and more understandable representation of OPPs in comparison to analytical models. Therefore, the author’s motivation was to present the original model as a tool for enterprises’ managers who might control OPP, devices and means of transport employed therein. The outcomes and implications of the contribution are connected to presentation of selected possibilities in OPP analyses, which might be developed and solved within the model. The presented model has some limitations. One of them is assumption that one mean of transport per one aisle is taken into consideration. Another limitation is the indirectly randomization of certain model’s parameters.

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Comprehensive Design of an Order Picking Line by Simulation

Cited by 2 publications

References 6 publications

Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

Sensitivity Analysis of Selected Parameters in the Order Picking Process Simulation Model, with Randomly Generated Orders

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