“…Many small-scale manufacturing companies lack a system for guaranteeing that they will deliver a quality product to their customers, and often, their operation is considered inefficient [19]. An interesting method based on quality, time and flexibility KPIs, among others, was used to identify the most appropriate Lean tool in a MSE [20] [21]. Likewise, to achieve Lean tool applicability in MSEs, we must analyze the different types of waste and identify which process tools are to be applied based on the literature and the applicability review in different case studies [11] [18].…”
Section: Lean Manufacturing and Standardized Work Applied Tomentioning
The textile industry currently represents 7.2% of the manufacturing companies' GDP. However, it has experienced severe sales volatility owing to the high competitiveness, primarily mainly from Southeast Asian countries. Low productivity, process variability, operating cost overruns or long lead times are the main causes of the sector gap that must be attacked. Thus, this research is aims to contribute to the textile industry with methodologies and tools to gain a competitive advantage and reduce its operating cost overruns. We analyzed a real case study applied to a company called TEXTIL S.AC., following the implementation of combined work to integrate labor, work method, and machines to reduce the manufacturing cycle time by 300 seconds and, thus, waste such as defective products that generate expenses for the company. The results of the implementation and validation through process simulation showed an 8% reduction in the defect rate and a 32% improvement in the lead times.
“…Many small-scale manufacturing companies lack a system for guaranteeing that they will deliver a quality product to their customers, and often, their operation is considered inefficient [19]. An interesting method based on quality, time and flexibility KPIs, among others, was used to identify the most appropriate Lean tool in a MSE [20] [21]. Likewise, to achieve Lean tool applicability in MSEs, we must analyze the different types of waste and identify which process tools are to be applied based on the literature and the applicability review in different case studies [11] [18].…”
Section: Lean Manufacturing and Standardized Work Applied Tomentioning
The textile industry currently represents 7.2% of the manufacturing companies' GDP. However, it has experienced severe sales volatility owing to the high competitiveness, primarily mainly from Southeast Asian countries. Low productivity, process variability, operating cost overruns or long lead times are the main causes of the sector gap that must be attacked. Thus, this research is aims to contribute to the textile industry with methodologies and tools to gain a competitive advantage and reduce its operating cost overruns. We analyzed a real case study applied to a company called TEXTIL S.AC., following the implementation of combined work to integrate labor, work method, and machines to reduce the manufacturing cycle time by 300 seconds and, thus, waste such as defective products that generate expenses for the company. The results of the implementation and validation through process simulation showed an 8% reduction in the defect rate and a 32% improvement in the lead times.
“…In another paper, Gouiaa-Mtibaa et al considered that a production system subject to a random failure rate produces three types of items: high-quality conformities, lower quality items and non-conformity items. 10 In order to improve the quality of second-order and non-conforming items, a retouching activity is carried out. Their purpose is to determine simultaneously the number of batches produced and the number of PM actions.…”
The purpose of this article is to deal with subcontracting strategies in the context of production, maintenance and quality integration. We study the multi-item capacitated lot-sizing problem for a production system composed of a single machine. The production system is considered imperfect, producing both conforming and non-conforming items. However, the deterioration of the system is a function of the time and production rate, which affects the quality of the manufactured items. Consequently, a quality control strategy is established, the aim is to inspect, adjust and control the manufactured items. To solve our problem, an evolutive optimization approach is proposed, namely the genetic algorithm (GA). Then, in order to adjust the parameters of GA, we use the Taguchi method. This article is one of the few documents dealing with integrated production management, maintenance and quality under subcontracting constraints that takes into account the complex aspect of the multi-item manufacturing industry. Then, a sensitivity analysis is also carried out to illustrate the robustness of the proposed control policy. Finally, we compare our results with the literature to validate our approach and highlight the advantage of subcontracting in minimizing costs.
“…Controlling the activities in the production system guarantees an adequate distribution; otherwise, there will be delays and production systems failures appear with lack of materials, and lack of maintenance in machines and equipment, among others, which affects the SC and the material flow [58]. However, these problems are solved with support from ICT, given that quality problems and maintenance requirements are detected in real time from the machines [59]. Considering that there is a relationship between Production Control and Distribution Activities, the following Hypothesis is proposed: Hypothesis 6 (H6).…”
In globalized times the integration of information and communication technologies in companies and their supply chains is required, but there is uncertainty regarding the true impact that these have on efficiency indices or benefits gained in the productive system. This article reports a structural equation model that contains ten hypotheses with five latent variables associated with the integration of information and communication technology in production systems such as information exchange, operations management, production control, distribution activities, and operational benefits obtained. The paper aims to quantify the relationships among those variables, facilitating managers to make decisions in information and communication technologies (ICT) implementation. The model is validated with information from 80 responses to a questionnaire applied to manufacturing companies, and partial least-squares technique is used to statistically validate the hypotheses; the results indicate that the implementation of information technologies facilitates the exchange of information, operations management and production control. This means that ICT integration can create visibility for a supply chain in a material’s flow among partners, facilitate operations management in production lines and distribution activities, and these benefits are ultimately transformed into operational benefits that managers measure as flexibility, low cost and short cycles times with customers.
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