Dynamic cycle times for adaptive manufacturing control in automotive flow shops

Lepratti, Raffaello; Berger, Ulrich; Creutznacher, Thomas; Minhas, Sarfraz Ul Haque

doi:10.1109/icat.2013.6684088

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…These schemes has negative impact on CT and UE, and hence surrogate models were designed that optimises the impact and creates collision free environment inside assembly cells. Lepratti et al [18], aimed at reducing the dynamic CT in order to deal with highly flexible manufacturing operations in automotive industries. Results proved that reducing dynamic CT by integrating scheduling and sequencing algorithms, improved the manufacturing effectiveness and material handling capabilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Literature Survey about Elements of Manufacturing Shop Floor Operation Key Performance Indicators

Khan

Ahmad

2019

2019 5th International Conference on Control, Automation and Robotics (ICCAR)

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In the era of globalisation, manufacturing industries are compelled to continuously monitor their manufacturing operations to maintain competitiveness. As a result, manufacturers have integrated several measurement models to inspect their manufacturing operations. These models comprise of a set of Key Performance Indicators (KPIs), which are capable to enumerate the effectiveness, competence, efficiency and proficiency of manufacturing operations. This paper presents a review of manufacturing shop floor operation KPIs that has been studied in the recent literature. Based on the reviewed literature author proposes various KPI elements such as: description, category, scope, formula, unit of measure, range, trend, mode of display, viewers and manufacturing approach. These elements can help manufacturers to better describe, classify, analyse and measure the appropriate KPIs for their shop floor operations. Thus, enabling manufacturers to accomplish and uphold great quality, increased productivity and throughput.

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Section: Literature Reviewmentioning

confidence: 99%