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Operational performance reflects the company’s operating performance in terms of waste reduction, product quality improvement, and product delivery. This study examines the effect of resource flexibility and product complexity on operational performance moderated by employee competence in the Indonesian defense industry at PT. Pindad (Persero) Turen, Malang. 194 employees who work in the production function are sampled in this research. The data analysis model used is a structural equation model with a Partial Least Square approach using SmartPLS 3.0 software. The results show that resource flexibility has a positive and significant effect on operational performance, product complexity does not affect operational performance, and employee competence has a positive and significant effect on operational performance. The moderation test shows that employee competence strengthens the effect of resource flexibility on operational performance and employee competence does not weaken or strengthen the effect of product complexity on operational performance.

This paper aims to present a proposal to improve this methodology for the analysis of heterogeneous capacities based on the profit margin per product. Which was structured in three moments: development of the proposal, deployment in a business context, and validation of the results through the application of a linear programming method. This proposal considers the five initial steps of the existing tools as a starting point, taking as a reference the normal time available for each homogeneous group and introducing modifications in the steps. The application of the methodology in the conditions of SMEs demonstrated its ability to generate results superior to those of traditional methods and similar to those obtained by specific linear programming techniques.

Machine efficiency and performance are crucial for attaining company objectives economically. High-tech industries, marked by substantial expenditures, can adapt to swift changes and consumer demands within their established operational parameters and available resources. Providing high-quality products at competitive prices has posed a problem for machine-driven manufacturing organisations. This study investigates the implementation of mechanisation to enhance quality in a chosen automobile assembly company in South Africa. The study employed a quantitative methodology to investigate the production and associated experiences of a chosen automotive assembly organisation that implemented a mechanised system for quality enhancement in its Deck Tailgate process within the welding facility. The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS). The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa. This research examines the influence of mechanisation on product quality, defect rates per unit, and operational downtime inside an automotive assembly firm in South Africa. Analysis of pre- and post-mechanisation quarterly data using OLS regression indicates that mechanisation substantially enhances product quality; however, no significant effects were seen regarding defects per unit and downtime. This study reveals the advantages and disadvantages of mechanisation inside this automotive assembly organisation in South Africa. 

Quality is a factor to increase the competitiveness of a product. By increasing quality, the production costs will be reduced, thus it will eventually reduce waste. The failure of a product can be caused by the availability of raw materials, machines, equipment, human resources, and environmental factors during the production process. Quality control is a method used to keep the product needed by the market to be within controlled limits. This study aims to determine the quality of Tempe SS products at the Sirajussa’adah Islamic Boarding School in Limo Depok. It is carried out to see whether the quality is still within control limits or not by using the Six Sigma method with several stages of DMAIC (Define, Measure, Analyze, Improve and Control) implementation. In this research, calculations are carried out using the checksheet, flow chart, histogram, Pareto Hart, control, scatter diagram and fishbone diagram methods of production. Based on the results, it can be concluded that for 25 times the study, it is obtained the value of the center line (CL) of 0.0036, the value of the upper control limit (UCL) of 0.0050, and the value of the lower control limit (LCL) of 0. It is also found that there are a number of variations in the process that are outside the control limit (out of control) and within the control limit (in control) in the production process of Tempe SS at the Sirajussa Islamic Boarding School in Limo Depok. However, this is still inadequate for the fermentation process infrastructure, equipment for packaging is still manual and environmental factors determine the cause of the number of defective products.  

Machine efficiency and performance are crucial for attaining company objectives economically. High-tech industries, marked by substantial expenditures, can adapt to swift changes and consumer demands within their established operational parameters and available resources. Providing high-quality products at competitive prices has posed a problem for machine-driven manufacturing organisations. This study investigates the implementation of mechanisation to enhance quality in a chosen automobile assembly company in South Africa. The study employed a quantitative methodology to investigate the production and associated experiences of a chosen automotive assembly organisation that implemented a mechanised system for quality enhancement in its Deck Tailgate process within the welding facility. The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS). The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa. This research examines the influence of mechanisation on product quality, defect rates per unit, and operational downtime inside an automotive assembly firm in South Africa. Analysis of pre- and post-mechanisation quarterly data using OLS regression indicates that mechanisation substantially enhances product quality; however, no significant effects were seen regarding defects per unit and downtime. This study reveals the advantages and disadvantages of mechanisation inside this automotive assembly organisation in South Africa. 

This paper aims to present a proposal to improve this methodology for the analysis of heterogeneous capacities based on the profit margin per product. Which was structured in three moments: development of the proposal, deployment in a business context, and validation of the results through the application of a linear programming method. This proposal considers the five initial steps of the existing tools as a starting point, taking as a reference the normal time available for each homogeneous group and introducing modifications in the steps. The application of the methodology in the conditions of SMEs demonstrated its ability to generate results superior to those of traditional methods and similar to those obtained by specific linear programming techniques.

Quality is a factor to increase the competitiveness of a product. By increasing quality, the production costs will be reduced, thus it will eventually reduce waste. The failure of a product can be caused by the availability of raw materials, machines, equipment, human resources, and environmental factors during the production process. Quality control is a method used to keep the product needed by the market to be within controlled limits. This study aims to determine the quality of Tempe SS products at the Sirajussa’adah Islamic Boarding School in Limo Depok. It is carried out to see whether the quality is still within control limits or not by using the Six Sigma method with several stages of DMAIC (Define, Measure, Analyze, Improve and Control) implementation. In this research, calculations are carried out using the checksheet, flow chart, histogram, Pareto Hart, control, scatter diagram and fishbone diagram methods of production. Based on the results, it can be concluded that for 25 times the study, it is obtained the value of the center line (CL) of 0.0036, the value of the upper control limit (UCL) of 0.0050, and the value of the lower control limit (LCL) of 0. It is also found that there are a number of variations in the process that are outside the control limit (out of control) and within the control limit (in control) in the production process of Tempe SS at the Sirajussa Islamic Boarding School in Limo Depok. However, this is still inadequate for the fermentation process infrastructure, equipment for packaging is still manual and environmental factors determine the cause of the number of defective products.  

Operational performance reflects the company’s operating performance in terms of waste reduction, product quality improvement, and product delivery. This study examines the effect of resource flexibility and product complexity on operational performance moderated by employee competence in the Indonesian defense industry at PT. Pindad (Persero) Turen, Malang. 194 employees who work in the production function are sampled in this research. The data analysis model used is a structural equation model with a Partial Least Square approach using SmartPLS 3.0 software. The results show that resource flexibility has a positive and significant effect on operational performance, product complexity does not affect operational performance, and employee competence has a positive and significant effect on operational performance. The moderation test shows that employee competence strengthens the effect of resource flexibility on operational performance and employee competence does not weaken or strengthen the effect of product complexity on operational performance.