Materials Supply System Analysis Under Simulation Scenarios in a Lean Manufacturing Environment

Abstract

Identifying the most efficient supply system for a company working under Lean Manufacturing practices was possible with the support of this work. Promodel software was used to develop simulation model depicting a constant velocity joints (CVJ) production system, where two different supply methods were assessed. According to results herein obtained, better performance is achieved under random supply method in comparison with a clustering supply method. The company's goal is to keep 1% losses due to lack of material. In the actual process, this essential parameter was reduced from 2.73% to 1.177%, if random supply method is properly implemented.

RFID impacts on barriers affecting lean manufacturing

“…Furthermore, these impressive benefits of lean implementation have inspired different sectors, such as fishing (Yang et al , 2015), accounting (Fullerton et al , 2013; Fullerton et al , 2014), material supply systems (Jimenez-Garcia et al , 2014), quotation processes (Buzby et al , 2002), telecom and IT (Mo, 2009; Andersson et al , 2014), emergency layouts (Wang et al , 2015), environment (Salleh et al , 2012a; Diaz-Elsayed et al , 2013; Jabbour et al , 2013), farming (Salleh et al , 2012b), healthcare (Dickson et al , 2009; Stonier et al , 2009; Hollyman et al , 2014; Robinson et al , 2012), bottling (Bertolini and Romagnoli, 2013; Jovanovic et al , 2014), chemicals (Aqlan and Ali, 2014), furniture (Ray et al , 2006), and most notably the automobile industry (Mabry and Morrison, 1996; Fauske et al , 2008; Azevedo et al , 2012; Elmoselhy, 2013; Chiarini, 2014; Khanchanapong et al , 2014; Kumar and Kumar, 2014) to implement lean in their operations.…”

Data-driven simulation methodology using DES 4-layer architecture

“…A continuación, se realiza la validación, que consiste en la definición de si el modelo de simulación se comporta igual que el sistema real (Jiménez-García et al, 2013). Existen dos razones para no llevar adelante este caso: la primera es que no exista tal sistema real contra el que comparar; la segunda sería que el desconocimiento específico del sistema real, previo a la transformación, fuera tal que no compensara dicho análisis.…”

Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach

“…Also, managers in some traditional industries, such as the garment industry, are reluctant to make major changes in their companies since they do not know the real impact of some of the alternatives being evaluated. In this sense, simulation approaches have been proven to be a powerful tool for decision making in environments characterized by uncertainty (Fathollah et al, 2009;Jiménez-García et al, 2014;Jin et al, 2014;Ramírez-Granados et al, 2014;Rendón-Sagardi et al, 2014;Zhu et al, 2014). In operations management, simulation has been a fundamental tool when designing operations processes (Jahangirian et al, 2010;Ji et al, 2020;Negahban & Smith, 2014;Zhu et al, 2014), supply chain networks (Jiménez-García et al, 2014;Petrovic et al, 1998) or materialhandling systems (Florescu & Barabas, 2020;Leung & Lau, 2020), among other complex decisions in the field.…”

“…In this sense, simulation approaches have been proven to be a powerful tool for decision making in environments characterized by uncertainty (Fathollah et al, 2009;Jiménez-García et al, 2014;Jin et al, 2014;Ramírez-Granados et al, 2014;Rendón-Sagardi et al, 2014;Zhu et al, 2014). In operations management, simulation has been a fundamental tool when designing operations processes (Jahangirian et al, 2010;Ji et al, 2020;Negahban & Smith, 2014;Zhu et al, 2014), supply chain networks (Jiménez-García et al, 2014;Petrovic et al, 1998) or materialhandling systems (Florescu & Barabas, 2020;Leung & Lau, 2020), among other complex decisions in the field. Similarly, simulation models can help understand variations in production system performance that may have different predicted scenarios without directly impacting the actual production system (Abdulmalek & Rajgopal, 2007;Florescu & Barabas, 2020;Persson & Olhager, 2002;Rendón-Sagardi et al, 2014).…”