2016
DOI: 10.1007/s40171-016-0127-3
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Performance Evaluation of Flexible Manufacturing System Under Different Material Handling Strategies

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Cited by 20 publications
(5 citation statements)
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“…Material handling flexibility reflects the ability to move the product or different parts effectively within a production facility (Suarez et al 1996;Lummus et al 2003;Kara and Kayis 2004;Koste et al 2004;Ali and Murshid 2016). It includes multiple activities such as loading-unloading operations, storage, and inter-machine transportation under various situations of the production schedules (Sethi and Sethi 1990;Tsourveloudis and Phillis 1998).…”
Section: Materials Handling Flexibility (Mf12)mentioning
confidence: 99%
“…Material handling flexibility reflects the ability to move the product or different parts effectively within a production facility (Suarez et al 1996;Lummus et al 2003;Kara and Kayis 2004;Koste et al 2004;Ali and Murshid 2016). It includes multiple activities such as loading-unloading operations, storage, and inter-machine transportation under various situations of the production schedules (Sethi and Sethi 1990;Tsourveloudis and Phillis 1998).…”
Section: Materials Handling Flexibility (Mf12)mentioning
confidence: 99%
“…While formulas for the quantification of each flexibility type are provided, the result is rather superficial. Focused on a more detailed level, Ali and Murshid (2016) investigated the performance evaluation of flexible manufacturing system under different material handling strategies. Wahab and Osman (2013) as well as Chang et al (2001) focused on machine flexibility.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A virtual computer model of a system or process under study is created using a Simulation method system (Ali and Murshid, 2016;Banks et al, 2005;Law and Kelton, 1991;McDonald et al, 2012). Simulation is one of the most Proceedings of the International Conference on Industrial Engineering and Operations Management Bangalore, India, August 16-18, 2021 reliable operations research tools for decision making and validation in the production and operations management domain to maintain the competitiveness of a firm (Junior et al, 2019;Salam and Khan, 2016).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Discrete Event Simulation (DES) technique is used in the present research work to create an "as-is" model of a manufacturing firm under study. DES comprises the change in the state of the system at an asynchronous discrete events of time (Ali and Murshid, 2016;Banks et al, 2005;Schruben and Yücesan, 1993). DES permits users or decision-makers to modify the manufacturing setup virtually.…”
Section: Literature Reviewmentioning
confidence: 99%