In-Plant Logistics Efficiency Valuation Using Discrete Event Simulation

This paper presents a novel heuristic method for machine layout optimisation, developed in the course of an internal factory logistics optimisation project. The method is developed from a force-directed graph drawing algorithm, and integrates random permutations using simulated annealing to avoid local minima. The method was verified and validated with a discrete event simulation (DES) model of a furniture development factory consisting of 140 machines. The DES model was developed for manufacturing system analysis as well as design and testing of optimisation methods. The main optimisation goal was reduction of transport costs by minimising the total distance the products travel between the machines. The optimisation problem extends the quadratic assignment problem (QAP) by allowing arbitrary granularity of locations, facility sizes and fixed facilities. The resulting method can be used to solve a wider range of problems by altering the optimisation function or adding new feasibility conditions.

Section: Resultsmentioning

confidence: 99%

Optimisation of Machine Layout Using a Force Generated Graph Algorithm and Simulated Annealing

Kanduč¹,

Rodič²

2016

“…Simulation is another method used to evaluate the performance analysis of specific SBS/RS configurations, since it can yield a more realistic approach compared to the analytical model [16]. According to Ning et al [1] the reason is the fact that a deterministic (analytical) approach usually requires simplifications of the model that are not required in a (stochastic) simulation model.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric Study of Throughput Performance in SBS/RS Based on Simulation

Lerher¹,

Borovinšek²,

Ficko³

2017

This paper presents an analysis of cycle times and throughput performances of Shuttle-Based Storage and Retrieval Systems (SBS/RSs), a relatively new technology that is becoming an important part of automated warehouses. A parametric simulation model was developed for the purposes of this research. The model enables calculation of Single Command (SC) and Dual Command (DC) cycle times and throughput performances of SBS/RS. The model was tested on a case study, which is based on a real type of SBS/RS. Experiments were designed to evaluate the following factors, such as number of bays n x and minimum warehouse volume Q. Our research uses Design of Experiment (DOE) analysis and helps to achieve the proper dimension of the SBS/RS, which gives us the best possible performance of the SBS/RS. The simulation based on the presented model delivers the best SBS/RS designs.

“…Barcode system is selected for the data collection system and FAHP is found to be more sufficient in decision making process due to its fuzziness and vagueness compared to AHP. Seebacher et al [21] presented an applicable approach (timebased efficiency concept) of the intralogistics efficiency. For the evaluation of intralogistics process they used discrete event simulation modelling technique.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation-Based Performance Analysis of Automated Single-Tray Vertical Lift Module

Grašić¹,

Đukić²,

Opetuk³

et al. 2016

In this paper a simulation analysis of an automated single-tray Vertical Lift Module (VLM) system is presented. Compared to other well-known warehouse systems, a VLM system can provide moderate throughput capacity and lower investment cost. The objective of the study is to investigate benefits of a single-tray VLM system design in terms of reducing transactions' mean cycle time, which results in increased throughput of the system. Performance of the single-tray VLM is evaluated regarding alternative design configurations and the velocity profiles.The results show that single-tray VLM systems are effective and may serve as guideline for warehouse designers in designing a new or improving an existing automated warehouse system.