DANIEL V. LEZOTTE, NAMBURY S. RAJU, MICHAEL J. BURKE and JACQUES NORMAND
This study compared per selectee utility estimates for the job of medical claims examiner based on applications of the Brogden‐Cronbach‐Gleser (BCG) and Raju‐Burke‐Normand (RBN…
Abstract
This study compared per selectee utility estimates for the job of medical claims examiner based on applications of the Brogden‐Cronbach‐Gleser (BCG) and Raju‐Burke‐Normand (RBN) utility analysis models. The RBN model's per selectee utility estimate, based on a transformed observed performance rating standard deviation (σR), was closest to the per selectee utility estimate computed with an empirically‐derived σY value. The implications of these results for estimating human resource program utility are discussed.
Laurie Larwood, Sergei Rodkin and Dean Judson
The need to maintain up-to-date technological skills despite an aging workforce makes it imperative that organizations increasingly focus on retraining older employees. This…
Abstract
The need to maintain up-to-date technological skills despite an aging workforce makes it imperative that organizations increasingly focus on retraining older employees. This article develops an adult career model based on the acquisition of technological skills and gradual skill obsolescence. The model suggests the importance of retraining and provides practical implications to the development of retraining programs. Suggestions for future research are also offered.
Selamat Walmanto Hia, Moses Laksono Singgih and Raja Oloan Saut Gurning
The purpose of this paper is to present a case study the application of lean six sigma combined with mining transportation overall vehicle effectiveness (MTOVE) to improve mining…
Abstract
Purpose
The purpose of this paper is to present a case study the application of lean six sigma combined with mining transportation overall vehicle effectiveness (MTOVE) to improve mining transportation performance. MTOVE is a newly developed model to measure the overall effectiveness of mining transportation.
Design/methodology/approach
The method used is case study combines the MTOVE and LSS methodologies. Data were collected from the hauling operation during a three-month period. Various lean six-sigma tools, such as the Pareto chart, ANOVA, two sample t-tests, one sample t-test, cause-and-effect analysis and time study, have been used.
Findings
The case study resulted in improvement of vehicle overall effectiveness; a 35% increase in MTOVE value, a 17% improvement in productivity and a 9% increment in truck utilization. Statistical tests confirmed the significance of reducing the mean and variation in the hauling process cycle time, which led to productivity improvement.
Research limitations/implications
This study provides practitioners with additional quantitative evidence of the potential benefits of LSS methods in the coal mining industry.
Practical implications
This paper practically and unquestionably has contributed to the LSS body of knowledge focused on the mining sector, which is recently still far behind the manufacturing sector. The study has demonstrated that some challenges in the mining environment can be solved through the effective implementation of LSS tools. Hence, this paper could be used as a reference for both researchers and practitioners.
Social implications
The study contributes in the field of LSS spread in mining industries using a case study. This study shows practical evidence of improving overall vehicle effectiveness using LSS. Practitioners can refer to this study to understand the benefits of LSS in mining sector. Since the mining industry should also adopt the LSS principle into the mining business process due to its ability to improve business performance (Valente et al., 2020; Tupamahu et al., 2019; Zanon et al., 2021).
Originality/value
There has been little scientific study of the LSS implementation in the mining industry. This research provides detailed evidence of LSS implementation in the mining sector. The main contribution is the implementation framework, which shows the combination of newly developed indicators (MTOVE and LSS) to enhance hauling operation effectiveness. This paper demonstrates how LSS tools and methods can be applied in the mining transportation industry.