A Performance Evaluation Concept for Production Systems in an SME Network

Mahmood, Kashif; Lanz, Minna; Toivonen, Ville; Otto, Tauno

doi:10.1016/j.procir.2018.03.182

Cited by 25 publications

(15 citation statements)

References 17 publications

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“…Therefore, the real-time monitoring is needed in order to dealing with rapid change and effective control stock of inventory. Mahmood [19], Kaganski [20], Amrina & Yusof [21] proposed the concept of production evaluation in SME network using virtual enterprise. Key performance indicators (KPIs) is created which affect operation such as efficiency, utilization, and productivity.…”

Section: Sub-contractor Evaluationmentioning

confidence: 99%

Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System

Butdee¹

2021

Concepts, Applications and Emerging Opportunities in Industrial Engineering

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Performance evaluation is a critical and complex task as well as uncertain demands for automotive supply chain. Several methods are applied and adopted to deal with current situations and maintain competitiveness such as fuzzy logic, neuro fuzzy, agent (multi) based evaluation, etc. However, such systems are not rapid enough to respond customer requirements by real-time on mobile cloud computing system. There are many companies that operate under the first tier company as subcontractors on the same goal. Cloud computing system is capable to monitor real-time production processes for every subcontractor to assist the 1st tier to make decision and respond customer effectively. Daily monitoring data of all subcontractors in the supply chain are stored in the central database and finally the performance evaluation can be done. The implication is cost reduction of the whole supply chain and increase competitiveness as well as continuous process improvement for all.

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Section: Sub-contractor Evaluationmentioning

confidence: 99%

Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System

Butdee¹

2021

Concepts, Applications and Emerging Opportunities in Industrial Engineering

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“…The role of the OEE indicator is to monitor and control operational efficiency and measure the effectiveness of decisions [17]. In the manufacturing industry the OEE values are measured thus can be raised and optimized.…”

Section: Oee-values In the Manufacturing Industrymentioning

confidence: 99%

OEE measurement at the automotive semi-automatic assembly lines

Dobra¹,

Jósvai

2021

Acta Tech. Jaurinensis

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Manufacturing companies continuously evaluate their achieved performance based on different Key Performance Indicators (KPI). This article gives an overview about the OEE values. The study aims to provide practical OEE data of semi-automatic assembly lines used in the automotive industry. Its novelty is the revealed relationship between seat assembly lines and seat subassembly lines. Firstly, a literature review shows the scientific relevance and several cases are collected to increase OEE percentage. Secondly, the connection between chassis, tracks, recliner and mechanism assembly lines is described. Each part of OEE (availability, performance, quality) are analysed in terms of their impact.

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“…The ultimate aim of IoT applications in manufacturing is to comprehend smart factories, where machines and material handling resources communicate and are connected in a network. For that purpose, production lines, transportation resources, and existing IT tools of an enterprise should be connected to the internet directly or through external adapters [15].…”

Section: Iot Sensors and Vision Technologymentioning

confidence: 99%

Production Intralogistics Automation Based on 3D Simulation Analysis

Mahmood¹,

Karjust²,

Raamets³

2021

Journal of Machine Engineering

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Recent trends in manufacturing such as Industry 4.0 and Smart Manufacturing have brought the researchers' attention to the smart intralogistics in production facilities. Automated guided vehicles (AGV), especially mobile robots play a vital role in this development. On the other hand, industrial internet technologies offered new possibilities for the information exchange between devices, data integration platforms and communication interfaces to advance and facilitate the intralogistics for effective material handling and transportation. In order to analyse the feasibility and effectiveness of the mobile robots in the production area, 3D visualization should be combined with simulation, which provides a comprehensive possibility to evaluate and review the potential solution performance and its consistency before implementing practically into the production floor area. This paper describes a conceptual model based on 3D visualization and simulation and experimental study which help to make the decision according to the input data from the factory environment of the movement of mobile robots in production logistics. Moreover, the Key Performance Indicators (KPIs) are defined to analyse the use-case's process improvement in terms of the time reduction, which leads to increase productivity and cut-down the workers' fatigue.

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A Performance Evaluation Concept for Production Systems in an SME Network

Cited by 25 publications

References 17 publications

Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System

Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System

OEE measurement at the automotive semi-automatic assembly lines

Production Intralogistics Automation Based on 3D Simulation Analysis

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