Integrated Optimization Model for Production Planning and Scheduling with Logistics Constraints

Chen, Y. X.

doi:10.2507/ijsimm15(4)co16

Cited by 13 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SBS/RS is a subset of an Autonomous Vehicle Storage and Retrieval System (AVS/RS) [1]. SBS/RSs are relatively new technology and are becoming an important part of automated warehouses, used widely in many fields of industry [9][10][11].…”

Section: Literature Reviewmentioning

confidence: 99%

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

Lerher¹,

Borovinšek²,

Ficko³

2017

Int. j. simul. model.

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

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

Lerher¹,

Borovinšek²,

Ficko³

2017

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

“…During simulating the production process is evaluated the achieved output, respectively the operation of the production system during certain period, on the basis of statistical data [10,11]. The performance characteristics of the production systems can be summarized as follows [12][13][14][15][16][17]:  utilization of resources,  stock size in terms of the number of pending parts,  machine failure statistics,  machine blocking time,  return on investment,  cost indicators of production,  the amount of scraps,  the number of parts that were faulty, respectively require repair,  trouble-free operation,  time during which work is stopped due to device inactivity,  waiting time of the product before workplace,  monitoring of production performance, which indicates, how many products are produced during the simulation,  continuous production time for a particular product,  the amount of inventories and work in process of production.…”

Section: Utilization Of the System Module Plant Simulationmentioning

confidence: 99%

Improvement of Production Efficiency of Tapered Roller Bearing by Using Plant Simulation

Malega¹,

Kádárová²,

Kobulnicky³

2016

Int. j. simul. model.

View full text Add to dashboard Cite

The aim of this article is to create a simulation model of specific production system in Plant Simulation environment. The main production program that we monitor in this article is focused on the production of tapered roller bearings. Types of produced products are wide; therefore we focus attention on a material flow of one particular dimensional type of bearing. This article is divided into five parts. In the first part there is a theoretical overview of utilization of the system module Plant Simulation. The second part is focused on product that will be used for simulation process, concretely tapered roller bearing 32303A. Third part deals with analysis of simulated system model in Plant Simulation. Fourth section is oriented on proposal of monitored production system optimization in Plant Simulation and final fifth part is about benefits evaluation of the proposed solution.

show abstract

“…), and an economic component (information on amounts and prices of buying and selling, costs of auxiliary raw materials, materials and energy, profit margin). The adequacy of the description of production processes using such models and recommendations for their improvement is still discussed extensively in the literature (Guerra & LeRoux, 2011;Alattas et al, 2013;Chen, 2016). However, excessive attempts to increase the fidelity of the model by trying to account for the maximum number of its parameters and dependencies result in an increase of its dimensionality.…”

Section: Introductionmentioning

confidence: 99%

Improving the Quality of Process Models in Oil Refinery Information Systems

Kuvykin¹,

Petukhov²,

Petrotel-LUKOIL³

2019

IJQR

View full text Add to dashboard Cite

The paper considers the ways to improve the quality of oil refinery process models in information systems at various management levels (ERP, APS, MES). The authors demonstrate the necessity to introduce a universal (basic) for all management systems in order to ensure their effective interaction and integration. It has also been shown that a universal basic model is a subset of models of interacting systems based on balance principles. The results of the practical implementation of the present approach at oil refineries are presented in the article along with the proposed ways to optimize the basic model. It should be noted that the development of a universal model can improve knowledge transfer and increase labour efficiency of personnel.

show abstract

Integrated Optimization Model for Production Planning and Scheduling with Logistics Constraints

Cited by 13 publications

References 22 publications

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

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

Improvement of Production Efficiency of Tapered Roller Bearing by Using Plant Simulation

Improving the Quality of Process Models in Oil Refinery Information Systems

Contact Info

Product

Resources

About