scholarly journals A STUDY ON THE IMPROVEMENT OF A LOCAL BOTTLE MANUFACTURING OPERATION: DEPLOYMENT OF LEAN PRINCIPLES AND DISCRETE EVENT SIMULATION

Author(s):  
Ezekiel Yorke ◽  
Boppana Chowdary ◽  
Jainarine Bansee

Local manufacturing small and medium enterprises (SME) have faced continuous challenges in competing with manufacturing firms of scale on the global market. Factors such as the presence of a traditional organisational structure and inefficient utilisation of resources have contributed to the challenges faced by local SMEs in keeping up with regional and international competitors within the manufacturing sector. To investigate the aforementioned challenges, a case study was conducted on a local bottle manufacturing SME which sought to improve their system performance across their Plastic Injection Melding (PIM) operation. Using strategies in the form of lean manufacturing as well as ARENA® simulation software, the challenges identified within their operation were observed and mitigated using key performance indicators. Lean strategies such as Heijunka, Kanban and Six Sigma were utilised as possible methods of reducing waste within the existing simulation model. When comparing the key performance indicators from the simulation, findings highlighted improvements in the Work in Process (WIP) and Waiting Time (WT) by 84.78% and 98.03% for the entire operation. A cost-benefit analysis was carried out to identify the most financially feasible strategy in purchasing the resources that were required for the strategy’s integration into the actual system.

Author(s):  
Julián I. Aguilar-Duque ◽  
Juan L. Hernandez-Arellano ◽  
Cesar Omar Balderrama-Armendariz ◽  
Guillermo Amaya-Parra ◽  
Liliana Avelar

During the last decades, the production systems have developed different strategies to increase their competitiveness in the global market. In a manufacturing and services systems, Lean Manufacturing has been consolidated through the correct implementation of its tools. The present paper presents a case study developed in a Food Packer company where a Simulation Model was considered as an alternative to reduce the waste time generated by the poor distribution of operations and transportation areas for a product within the factory. As a matter of fact, the company has detected problems on the layout distribution that prevents to fulfill the market demand. In addition, the principal aim was to create a simulation model to test different hypothetical scenarios and alternative designs for the layout distribution without modifying its facilities. Moreover, the implemented methodology was based on classical models of simulation projects and a compendium of the manufacturing systems optimization by simulation process used during the last ten years. Also, a mathematic model supported by the Promodel ® simulation software was developed considering the company characteristics; along with the model development, it was possible to compare the production system performance from the percentage of used locations, the percentage of resources utilization, the number of finished products, and the level of Work in Process (WIP). Finally, the verification and validation stages were performed before running the scenarios in the real production area. The results generated by the implementation of the project represent an increase of 68% in the production capacity and a reduction of 5% in the WIP. In addition, both outcomes are associated with the resources management, which were reassigned to other production areas.


Author(s):  
Michael Q Corpuz ◽  
Christina F Rusnock ◽  
Vhance V Valencia ◽  
Kyle Oyama

Medical readiness requires Department of Defense medical clinics to be robust to changes in patient demand. Minor fluctuations in patient demand occur on a regular basis, but major increases can also occur. Major demand increases can result from a number of occurrences, including mass military deployments, medical incidents, outbreaks, and overflow from Veterans’ Affairs clinics. This research evaluates a system of clinics at Wright-Patterson Air Force Base in order to determine its ability to handle a 200% surge in patient demand. In addition, this study evaluates the relative effectiveness of six different staffing mix options to minimize patient wait times, also under the surge demand conditions. This evaluation is conducted using discrete-event simulation to estimate patient wait times and includes a sensitivity analysis of the increased patient demand, as well as a cost–benefit analysis to determine the most cost-effective alternative scenario. The study finds that adjustments to staffing mix enable cost savings while meeting current demands. In addition, the study finds that adjusting the staffing mix will not have a negative impact on patient wait time in the surge conditions, relative to the current staffing mix.


Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5169 ◽  
Author(s):  
Paulina Gackowiec ◽  
Marta Podobińska-Staniec ◽  
Edyta Brzychczy ◽  
Christopher Kühlbach ◽  
Toyga Özver

The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business processes are a source of revenue and become an implementation of business strategy. The critical elements in process management in an enterprise are process monitoring and control. It is therefore essential to identify the Key Performance Indicators (KPIs) that are relevant to the analysed processes. Process monitoring can be performed at various levels of management, as well as from different perspectives: operational, financial, security, or maintenance. Some of the indicators known from other fields (such as personnel management, finance, or lean manufacturing) can be used in mining. However, the operational mining processes require a definition of specific indicators, especially in the context of increasing the productivity of mining machines and the possibility of using sensor data from machines and devices. The article presents a list of efficiency indicators adjusted to the specifics and particular needs of the mining industry resulting from the Industry 4.0 concept, as well as sustainable business performance. Using the conducted research and analysis, a list of indicators has been developed concerning person groups, which may serve as a benchmark for mining industry entities. The presented proposal is a result of work conducted in the SmartHUB project, which aims to create an Industrial Internet of Things (IIoT) platform that will support process management in the mining industry.


2019 ◽  
Author(s):  
Fazeeda Mohamad ◽  
Siti Filza Saharin

This paper focuses on the development of a computer simulation model for improving the queuing system at a hypermarket using Discrete Event Simulation (DES) and to propose the most efficient hypermarket queuing system for overall improvement. Data were collected from the Hypermarket A using the time study. The method of this study is using modeling and simulation. Arena Simulation Software is used to develop the model to replicate the actual system. Three scenarios had been tested, and the alternatives will be ranked based on the level of the efficiency of the system performance. The most efficient queuing system is identified based on the scenario analysis. In this study, the waiting time for each customer can be improved by up to 26%, which equivalent to 5.24 minutes. Overall, this study contributes to a better understanding of the queuing system performance.


2015 ◽  
Vol 2 (2) ◽  
pp. 1 ◽  
Author(s):  
Rishi Ram Kattel

The ecological settings in the Himalayan hills provide a unique opportunity to the resource-poor farmers in Nepal to sell their organically produced coffee as specialty coffee in the global market. However, there is little research about the cultivation methods and adoption of profitable technological upgrading in coffee cultivation in the country. Against such a back drop, this paper seeks to explore the factors that influence the small-scale coffee farmers’ decision to adopt technological upgrading such as wet processing in the farming process. Semi-structured interviews as well as focus group discussions were conducted in selected coffee-growing rural regions of Nepal. The cost-benefit analysis of different modes of coffee processing shows that the adoption of wet processing has a large potential of increasing the profit margins of farmers. Results from an adoption model identify education, book keeping on coffee activities, training, and access to credit and household location as the key determining factors for the adoption of technology upgrading.


2017 ◽  
Vol 5 (2) ◽  
pp. 102-108
Author(s):  
Matthew Bearden ◽  
Aidan Scribbick ◽  
Kristen West ◽  
Scott Zapcic ◽  
Jasmine Motupalli

The Gray Eagle unmanned aircraft systems (UAS) training program requires the reallocation of multiple fully operational UAS from the operational environment to facilitate training. The UAS Project Management Office (PM UAS) is concerned that this practice lacks efficiency. This study sought to: (1) conduct a comprehensive analysis for resource optimization with respect to achieving essential training tasks across multiple UAS, (2) conduct comprehensive cost-benefit analysis to assess the value of allocating a full-time and Gray Eagle platforms to accomplish training versus part-task trainers, and (3) define and quantify measures of performance and effectiveness. To achieve these objectives, this study implemented a tradespace analysis methodology to produce a discrete-event simulation model and a resource optimization tool. The impacts of this project will result in substantial cost savings per fiscal year, allow the client to forecast the resource needs of the organization effectively, and allow for the proper allocation of these resources.


2010 ◽  
Vol 7 (4) ◽  
pp. 380-392 ◽  
Author(s):  
Michele Pizzo ◽  
Nicola Moscariello ◽  
Rosa Vinciguerra

Self-dealing refers to all kinds of transactions and operations whose aim is to divert value from a company to corporate controllers. In order to tackle self-dealing, scholars and regulators have emphasised the importance of legal tools. However, although the pro-regulatory approach prevails on a wide scale in the academic arena, there still exists a marked divergence between theoretical positions supporting the existence of a benchmark model towards which to converge (convergence hypothesis) and those that underscore the importance of socio-economic factors on the efficacy of governance rules (path dependency view). The aim of this paper is to join in the convergence vs. path dependency debate by adding some considerations on the efficiency of mandatory rules to the well-known investigations on the effectiveness of legal frameworks. Specifically, considering the current market integration and associated opportunities and threats, the traditional cost-benefit analysis has been extended in order to embrace direct and indirect costs specifically associated to the issue of domestic rules in a global scenario. Such an economic analysis on self-dealing introduces new variables that may support the convergence view and encourage at least a partial and gradual adjustment of national legislations towards the Anglo-Saxon model. To test our hypothesis, an examination of the self-dealing rules adopted in Germany, Italy and UK has been conducted. In particular, spatial and temporal comparisons of conflict of interests and self-dealing legislations have been carried out in order to appreciate trends, differences and similarities of some of the most important European legal frameworks.


2021 ◽  
Vol 12 (2) ◽  
pp. 16-30
Author(s):  
Maya Irjayanti ◽  
Anton Mulyono Azis

Abstract The Indonesian government is targeting leather products, especially from West Java to become one of the export commodities that will encourage national economic growth. The existence of a leather industry particularly in the city of Garut has attracted many Indonesian researchers over the years to investigate the condition through many fields of research. However, the latest research identified several barriers related to the leather business development in Garut city, which was related to the optimization ratio of its performance and product quality. This study aimed to design a quality management model and key performance indicators to make this sector competitive in the global market. The research method used was inductive with a qualitative approach and a constructivist grounded theory in developing a quality management model. Theoretical and snowball sampling was chosen in identifying potential participants. The findings of this study contribute to the knowledge and practice of quality management models with key performance indicators that can be used to measure current conditions as a foundation for future improvement in the leather industry to produce competitive products that meet global standard. KPIs were formulated with certain criteria and should be applied by business actors.


Author(s):  
Virág Szabó

It is all the more difficult for the actors to hold their ground on the global market of caged egg production, that is why I believe it is important that the producers be able to judge their own competitivity, and bring their economic decisions based on this. However, the issue is raised whether the move towards alternative technologies indeed creates the opportunity of competitive management, so the aim of my research is the analysis of the economic relations of laying hen farms producing in different keeping technologies. There was no example in previous studies of a detailed economic comparison of the cage and deep-litter system from a national database in Hungary, so the cost-benefit analysis of these systems from Union accession to 2014 will lead to new scientific results.


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