Simulation-based optimization for material handling systems in manufacturing and distribution industries

Leung, Chris Siu Kei; Lau, Hon‐Shiang

doi:10.1007/s11276-018-1894-x

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…These entail finding the best possible solutions(s) to meet specific criteria. With advancements in simulations tools, decreasing costs of computational power, and the development of specialized simulation languages and tools, simulation modelling has become a widely accepted approach for system analysis and solving optimization problems [6]. In business management, waste is predominantly associated with quality management techniques, representing a decline in efficiency or economy.…”

Section: Literature Reviewmentioning

confidence: 99%

VR Simulation and Implementation of Robotics: A Tool for Streamlining and Optimization

Špirková,

Straka,

Saniuk

2024

Applied Sciences

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This article explores the significance of simulation-based analysis in understanding the effectiveness of material handling strategies. By utilizing simulation models, businesses can optimize production processes, streamline flows, and enhance overall logistics efficiency. In today’s competitive market landscape, the significance of product manipulation cannot be overstated. It directly influences consumer perception and plays a pivotal role in gaining a competitive advantage. Simulation-based analysis has emerged as a powerful tool for optimizing production processes and enhancing logistics efficiency. Robotics sorting and loading offer increased accuracy, speed, and efficiency over manual processes. Their implementation boost productivity, cuts costs, and enhances working conditions. In today’s competitive market, effective product handling shapes consumer perception and competitiveness. VR simulation-based analysis optimizes manufacturing, logistics, and robotics, driving efficiency. Through advanced VR simulation models, businesses streamline operations, adapt to market dynamics, and embrace automation, enhancing competitiveness.

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Section: Literature Reviewmentioning

confidence: 99%

VR Simulation and Implementation of Robotics: A Tool for Streamlining and Optimization

Špirková,

Straka,

Saniuk

2024

Applied Sciences

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“…Most of the publications (26%) deal with one given handling machine type (e. g. welding robot [2]) used in workplaces, 20% of them have general topic about the workplaces (e. g. [3]), 15% related to the increasing possibilities of the workplace performance (e. g. [4]), 14% presents solutions for extended handling among several workplaces (e. g. [5]) and 16% related to other topics (material aspects, special applications, etc.). Only 5 papers deal with real workplace planning, where the authors look for handling solutions for given workplaces activities (Fig 3).…”

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confidence: 99%

Material handling model of production workplaces

Telek¹

2022

ALS

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Nowadays, most of the manufacturing procedures use different workplaces to realize given production steps. At the production workplaces different material handling solutions are applied, however the selection of the suitable handling equipment is not optimized and based on experimental knowledge. The research presented in this paper targets to develop a model which can help to select the most suitable material handling equipment for different production workplaces. This paper gives an overview about the types of the workplaces in the aspects of material handling, the principals of the model building process, the structure of the possible model versions and presents an example for the applicability of the conception.

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“…In this sense, simulation approaches have been proven to be a powerful tool for decision making in environments characterized by uncertainty (Fathollah et al, 2009;Jiménez-García et al, 2014;Jin et al, 2014;Ramírez-Granados et al, 2014;Rendón-Sagardi et al, 2014;Zhu et al, 2014). In operations management, simulation has been a fundamental tool when designing operations processes (Jahangirian et al, 2010;Ji et al, 2020;Negahban & Smith, 2014;Zhu et al, 2014), supply chain networks (Jiménez-García et al, 2014;Petrovic et al, 1998) or materialhandling systems (Florescu & Barabas, 2020;Leung & Lau, 2020), among other complex decisions in the field. Similarly, simulation models can help understand variations in production system performance that may have different predicted scenarios without directly impacting the actual production system (Abdulmalek & Rajgopal, 2007;Florescu & Barabas, 2020;Persson & Olhager, 2002;Rendón-Sagardi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach

Cáceres-Gelvez

Serna

Zapata-Cortés

2022

JART

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Cellular manufacturing systems (CMS) are a major application of group technology, that brings benefits related to the reduction of wastes, also known as ‘mudas’ in lean manufacturing philosophy, to organisations striving to compete on today’s markets. These benefits include the reduction of machine setup times, material handling and work-in-process inventory, among others. However, many organisations are reluctant to implement such decisions in their production systems, due to the uncertainty and economic and productive impact that these involve. For this reason, a simulation study is performed in this paper to evaluate the performance of a cellular manufacturing system approach for the sewing department of a sportswear manufacturing company. The simulation study was designed, and the results of the proposed model showed improvements of 51,46% in the average flow time, 1102,52% in the average throughput, and 50,65% in the average setup times of machines, compared to the current state of the case study.

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Simulation-based optimization for material handling systems in manufacturing and distribution industries

Cited by 9 publications

References 24 publications

VR Simulation and Implementation of Robotics: A Tool for Streamlining and Optimization

VR Simulation and Implementation of Robotics: A Tool for Streamlining and Optimization

Material handling model of production workplaces

Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach

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