A Conceptual Framework to Integrate ISO 14001 and Lean for Evaluating Environmental Performance in Meat Industry

Meat industry is facing major challenges due to excess consumption of water, production of air pollutant emissions and waste generation which have an impact on environmental performance. International Organization for Standardization (ISO) standards’ implementation and lean are considered the main tools and techniques to achieve the highest level of process improvement benefits. ISO 14001 is potentially considered the most effective tool to improve the environment performance which focuses on degeneration, environment protection and sustainable utilization of natural resources. On the other hand, lean along with its tools and techniques has been adopted in meat industry to eliminate wastes in meat processing which also in turn leads to better environmental performance. Therefore, a conceptual framework is proposed which integrates ISO 14001 and lean elements in order to achieve synergetic environmental performance effectiveness and benefits that could be applied to meat industry

A lean six sigma framework for continuous and incremental improvement in the oil and gas sector

This article aims to explore synergies between Lean Production (LP) and Six Sigma principles in order to propose a Lean Six Sigma (LSS) framework for continuous and incremental improvement in the oil and gas sector. The Three-Dimensional LSS Framework seeks to provide various combinations about the integration between LP principles, DMAIC cycle and PDCA cycle to support operations management needs. Design/methodology/approach - The research method is composed of two main steps: (i) diagnostic of current problems and proposition of a conceptual framework that qualitatively integrates synergistic aspects of LP and Six Sigma; and (ii) analysis of the application of the construct through semi-structured interviews with leaders from oil and gas companies to assess and validate the proposed framework. Findings - As a result, a conceptual framework of LSS is developed contemplating the integration of LP and Six Sigma and providing a systemic and holistic approach to problemsolving through continuous and incremental improvement in the oil and gas sector. Originality/value - This research is different from previous studies because it integrates LP principles, DMAIC and PDCA cycles into a unique framework that fulfils a specific need of oil and gas sector. It presents a customized LSS framework that guides wastes and costs reduction, while enhances quality and reduces process variability to elevate efficiency in operations management of this sector. The paper type is an original research that present new and original scientific findings.N/

An integrated approach for lean production using simulation and data envelopment analysis

According to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting objectives. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The proposed framework can help identify the most efficient solution alternative by (i) considering the most common lean production methods for assembly line balancing, such as single minute exchange of dies (SMED) and multi-machine set-up reduction (MMSUR), (ii) creating and simulating various alternative assembly line configuration options via discrete-event simulation modeling, and (iii) formulating and applying DEA to identify the best alternative assembly system configuration for the multi-objective decision making. In this study, we demonstrate the viability and superiority of the proposed framework with an application case on an automotive spare parts production system. The results show that the suggested framework substantially improves the existing system by increasing efficiency while concurrently decreasing work-in-process (WIP).Q10006980682000012-s2.0-8511520297

A contingency-based decision support instrument for selecting lean production tools and techniques

This study is about the development of decision support instrument for selecting lean tools and techniques based on the contingency factors to help Malaysian organizations to select the right lean tools and techniques based on their context. Most of the prior studies were found focusing on the selection lean tools but did not assess the critical contingency factors that may influence the selection of lean tools and techniques. Adding to that, there were no similar studies on the selection of lean tools and techniques within the Malaysian context. The right tools and techniques to be used may vary depending on several factors, therefore to keep away from unnecessary waste and dissatisfaction, it would be better for organization to choose the right lean tools and techniques that will fit with organization’s situation and give benefits to the organization. A mixed-methods study exclusively focused on the development, evaluation, and refinement of a decision support instrument or specifically known as “Decision Aid for Lean Tools and Techniques Selection” (DEALS) was used. The developed decision support instrument, which incorporates 10 most widely used lean tools and techniques was emphasises the use of holistic processes which start from diagnose their current state of waste until the guidance of selecting the appropriate lean tools and techniques. Additionally, contingency factors were employed to include multifaceted viewpoints and contexts in the development of DEALS, such as the adeptness to acquire the commitment and support from the top management and the advantages of implementing lean tools and techniques. The developed decision support instrument includes two selection methods, namely (1) simple additive weighting (SAW) for basic selection and (2) analytic hierarchy process (AHP) for more advanced selection. Based on the evaluation results, all respondents (100%) agreed on the usability, accuracy, and novelty of DEALS as well as the relevance and validity of the selection and the clarity of the purpose of DEALS. The final results of validation testing also shows less than 5% errors when comparing final results of DEALS with two established software which are Expert Choice 11 software and Super Decision Software. By having this DEALS, it expected significantly benefit to managers, practitioners, consultants, researchers, and academicians as a guidance instrument in the selection of lean tools and techniques and generally to organization to have knowledge workers

Mejora de la atención al paciente en el área de emergencia para reducir los tiempos de atención en un hospital tipo II-1 aplicando la metodología Lean Healthcare y Collective System Design

El presente trabajo de suficiencia profesional aborda los principales problemas que se generan en el proceso de atención al paciente en el área de emergencias de un hospital público tipo II-1. Se detalla el desarrollo del modelo de gestión para mejorar la atención al paciente, el cual muestra el uso de la metodología Lean Healthcare para la eliminación de desperdicios en el sector sanitario y la aplicación de la metodología de Collective System Design que busca cumplir con las expectativas y necesidades de los clientes.  El presente trabajo muestra los resultados de la mejora de procesos, implementación de diagramas de flujo así como capacitaciones al personal médico y digitalización de las historias clínicas. La estructura del proyecto consta de cuatro capítulos, referencias y anexos. El primer capítulo, de la definición del proyecto; mientras que en el segundo capítulo detalla el marco teórico de ambas metodologías. El tercer capítulo detalla el desarrollo del proyecto, tanto el diseño de la solución como la validación e interpretación de los resultados. El capítulo cuatro contiene las conclusiones y recomendaciones del proyecto.The present work on professional sufficiency addresses the main problems that arise in the patient care process in the emergency area of a type II-1 public hospital. The development of the management model to improve patient care is detailed, which shows the use of the Lean Healthcare methodology for the elimination of waste in the healthcare sector and the application of the Collective System Design methodology that seeks to meet expectations. . and customer needs. This work shows the results of process improvement, implementation of flow charts as well as training for medical personnel and digitization of medical records. The structure of the project consists of four chapters, references and annexes. The first chapter, the definition of the project; while in the second chapter it details the theoretical framework of both methodologies. The third chapter details the development of the project, both the design of the solution and the validation and interpretation of the results. The fourth chapter contains the conclusions and recommendations of the project. al personal médico y digitalización de las historias clínicas.Trabajo de Suficiencia Profesiona

The Impact of Batch Size on Worker Stress Perception

The current global competitiveness has led organizations to improve their processes, and Lean Production has been a responsive tool to cost reduction and efficiency improvement. Batch size plays an important role in production control, encompassing the introduction of Lean Production in several organizations. However, the application and sustainability of Lean Production have had their effectiveness contested. Several authors explain that the continuous search for improvement has created pressure among the workforce impacting their stress levels and well-being, causing issues in focus control, authority, moral disengagement, and others. This study aims to check the impact that Batch size has on the workforce stress perception. Using the NIOSH Generic Job-Stress Questionnaire (GJBQ), a Pilot Study was performed to check the reliability of the instrument. Subsequently, a Batch size Simulation using Lego Blocks to simulate a factory environment was performed with 50 participants and three trials with different Batch size s of 10, 5, and 1 respectively. A set of different roles were played by the participants, and that wasdivided into two categories (i) operators and (ii) Production supervisors. The GJSQ was applied at the end of each trial. Six factors were analyzed: (i) mental demands, (ii) quantitative workload, (iii) variance in workload, (iv) role conflict, (v) role ambiguity, and workload using Factors Analysis. Results indicate that the items are grouped differently from those proposed by NIOSH, indicating the existence of a new factor – Cognitive Demand. Results also indicated that the perception of stress increased while the Batch size decreased.Furthermore, males tend to have higher stress scores than females. The operational staff tends to present higher levels of stress whereas when moving from a Batch size of 10 to 1, the Production supervisors staff stress levels reduced. Responsibility for People increased in all trials, and within the roles, Variance in Workload increased only for the operators, and Quantitative Workload only for administrative roles. On the other hand, Cognitive Demands, and Mental Demand was reduced