Abstract
In the fiercely competitive era induced by expansion of open business archetypes, the managerial aspects of Extended Manufacturing Environments (EMEs) are experiencing growing concerns. There is no scope of leaving a possible operational improvement unexplored. For enhanced operational efficiency and capacity utilization the balancing and scheduling problems of EMEs are, therefore, rightfully considered and an integer programme is proposed in this paper. The model is designed in a spread sheet and solved through What’sBest optimizer. The model capabilities are assessed through a test problem. The results have demonstrated that the model is capable of defining optimized production schedules for EMEs.
Highlights
In this age of industrial globalization, to compete and sustain, manufacturers are incentivized to reconstruct and/or reformulate their production paradigm, from the context of open business archetypes (Browne, 1999; Burt, et al, 1992)
In this paper we propose an integer programming approach for balancing and scheduling the jobs in a typical extended manufacturing environment (Kays, et al, 2015)
In this research, we propose an integer programming approach for simultaneous balancing and scheduling the jobs in an extended manufacturing environment
Summary
In this age of industrial globalization, to compete and sustain, manufacturers are incentivized to reconstruct and/or reformulate their production paradigm, from the context of open business archetypes (Browne, 1999; Burt, et al, 1992). In 1959, three distinctive IP based scheduling models are proposed in literature by Wagner, Bowman and Manne (Wagner, 1959; Bowman, 1959; Manne, 1960) Most of these proposed autonomous scheduling approaches are widely adopted in the manufacturing industries to sequence the jobs for the shared and/or the limited resources (Choi and Wang, 2012; Floudas, et al, 2005; Harjunkoski, et al, 2014). A typical extended manufacturing environment is considered in this research where a focal company intended to satisfy its customer demand by assigning the jobs to its geographically distributed manufacturing resources. A binary integer program is formulated and proposed This model is expected to help the focal company (A) in assigning the jobs to the local companies (B, C, D) and/or to the globally distributed resources. 1 if task i is processed in resource r first for sequence position s; 0 otherwise
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Information Systems Engineering & Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
