ANALYSIS OF THE GAINS IN THE WORKSTATIONS OF AN AUTOMOTIVE INDUSTRY FROM AN ERGONOMICS-BASED TIME AND MOTION STUDY

High-efficiency manufacturing has been one of the main goals of companies, requiring the use of adequate techniques and tools with high value and low cost to increase productivity. In this case, industrial companies focus on increasing productivity without losing quality in services and products, using adequate techniques without high investments to avoid compromising the final result. This study applies time and motion study techniques to two workstations of a specific automotive industry. Accordingly, ergonomics data on specific tasks are collected, with satisfactory results. The method proposed simplifications in workstations, reduces times, and, therefore, increases productivity.

Application of Time and Motion study for Brickwork activity in Residential building

Construction industry is one of the largest industries in any economy whether gauged in currency volume or workforce quantity but still it is not attentive in appealing it. Human resource plays a vital role in increasing economy and enhancing productivity. Labor productivity is the key driving factor in burgeoning thrift. Various labors possess distinct productivity levels, thus ultimately affects time and profit of construction. Construction activities performed by workers are usually repetitive and demands physical attention, which can be examined by time and motion study followed by evaluation through statistical analysis. A time and motion study are a work measurement technique that involves recording the time spent on a specific job. A time keeping system can be used to record time, while a motion study can be used to eliminate waste. In this research work, a total of seven residential building sites were selected for performing time and motion study considering brick masonry work as main domain where vision-based approach is followed to collect data, i.e., video record study followed by statistical analysis applied to the observed and collected data on site to determine the time parameters, work efficiency and labor productivity construing to the hassles and its reasons. This study focused on only residential buildings limiting the crew designation to mason and helpers aged 25-35 years with 10-16 years of work experience working under traditional method with conditioned tools like hand trowel, mason square, spirit level, plumb rule, etc.

Analisa Waktu Tunggu Pelayanan Rawat Jalan di RS Universitas Brawijaya

Waiting time for patient services is one indicator of patient satisfaction and quality of service in a hospital. The length of time a patient is waiting is one of the important things in determining the quality of health services. Based on the results of preliminary studies that have been carried out at Universitas Brawijaya Hospital in Malang, the implementation of outpatient services is still not running optimally. During the study the waiting time for outpatient services was more than 143 minutes (minimum service standard <60 minutes). The purpose of this study was to determine the factors that influence the length of waiting time for outpatient services and solution solutions. Researchers used qualitative methods, data collection was done by unstructured interviews, Focus Group Discussions, and observations with time and motion study. The number of participants was 30 people. The final results of the study, are the factors that influence the waiting time of outpatient visitors are the queuing number collection system and the medical record file ordering system. Solutions for long waiting times for patients in outpatient services that affect patient satisfaction by changing the Medical Record file order system and changing the queue number group. Waktu tunggu pelayanan pasien merupakan salah satu indikator kepuasaan pasien dan mutu pelayanan di rumah sakit. Lamanya waktu tunggu pasien merupakan salah satu hal penting dalam menentukan kualitas pelayanan kesehatan. Berdasarkan hasil studi pendahuluan yang telah dilakukan di RS Universitas Brawijaya di kota Malang pelaksanaan pelayanan pasien di rawat jalan masih belum berjalan optimal. Saat penelitian waktu tunggu pelayanan rawat jalan lebih dari 143 menit (setandar pelayanan minimal < 60 menit). Tujuan penelitian untuk mengetahui faktor yang mempengaruhi lama waktu tunggu pelayanan rawat jalan dan solusi pemecahan. Peneliti menggunakan metode kualitatif, pengumpulan data dilakukan dengan wawancara tidak terstruktur, Focus Group Discussion, dan observasi dengan time and motion study. Jumlah participan 30 orang. Hasil akhir penelitian, adalah faktor yang mempengaruhi lama waktu tunggu pengunjung rawat jalan adalah sistem pengambilan nomor antrian dan sistem pemesanan berkas rekam medis. Solusi untuk lama waktu tunggu pasien di pelayanan rawat jalan yang mempengaruhi kepuasan pasien dengan merubah sistem pemesanan berkas Rekam Medis dan merubah kelompok nomor antrian.

How much time do doctors spend providing care to each child in the ED? A time and motion study

BackgroundThe total time per patient doctors spend providing care in emergency departments (EDs) has implications for the development of evidence-based ED staffing models. We sought to measure the total time taken by doctors to assess and manage individual paediatric patients presenting to two EDs in the Western Cape, South Africa and to compare these averages to the estimated benchmarks used regionally to calculate ED staffing allocations.MethodsWe conducted a cross-sectional, observational study applying time and motion methodology, using convenience sampling. Data were collected over a 5-week period from 11 December 2015 to 18 January 2016 at Khayelitsha District Hospital Emergency Centre and Tygerberg Hospital Paediatric Emergency and Ambulatory Unit. We assessed total doctor time for each patient stratified by acuity level using the South African Triage Scale.ResultsCare was observed for a total of 100 patients. Median age was 21 months (IQR 8–55). Median total doctor time per patient (95% CI) was 31 (22 to 38), 39 (31 to 63), 48 (32 to 63) and 96 (66 to 122) min for triage categories green, yellow, orange and red, respectively. Median timing was significantly higher than the estimated local benchmark for the lowest acuity ‘green’ triage category (31 min (22 to 38) vs 15 min; p=0.001) and the highest acuity ‘red’ category (96 min (66 to 122) vs 50 min; p=0.002).ConclusionDoctor time per patient increased with increasing acuity of triage category and exceeded estimated benchmarks for the highest and lowest acuities. The distinctive methodology can easily be extended to other settings and populations.