Abstract
Sustainability considerations in manufacturing scheduling, which is traditionally influenced by service oriented performance metrics, have rarely been adopted in the literature. This paper aims to address this gap by incorporating energy consumption as an explicit criterion in shop floor scheduling. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We analyze the trade-off between minimizing makespan, a measure of service level and total energy consumption, an indicator for environmental sustainability of a two-machine sequence dependent permutation flowshop. We develop a mixed integer linear multi-objective optimization model to find the Pareto frontier comprised of makespan and total energy consumption. To cope with combinatorial complexity, we also develop a constructive heuristic for fast trade-off analysis between makespan and energy consumption. We define lower bounds for the two objectives under some non-restrictive conditions and compare the performance of the constructive heuristic with CPLEX through design of experiments. The lower bounds that we develop are valid under realistic assumptions since they are conditional on speed factors. The Pareto frontier includes solutions ranging from expedited, energy intensive schedules to prolonged, energy efficient schedules. It can serve as a visual aid for production and sales planners to consider energy consumption explicitly in making quick decisions while negotiating with customers on due dates. We provide managerial insights by analyzing the areas along the Pareto frontier where energy saving can be justified at the expense of reduced service level and vice versa.
Highlights
Scarcity and likely future shortages of key materials and energy resources used in modern manufacturing have come into the focus of public interest
We report the source of variation in performance (Source), degrees of freedom (Df), sum of squares (SS), mean squares (MS), F statistic (F), and the probability that the F statistic is greater than the critical F (Pr(>F))
This paper addresses the sequence dependent two-machine permutation flowshop scheduling problem with service level and energy consumption concerns bridging the sustainable manufacturing and multi-criteria decision making literature
Summary
Scarcity and likely future shortages of key materials and energy resources used in modern manufacturing have come into the focus of public interest. This challenge necessitates resource-efficient engineering, as the transition from a linear to a circular economy has already begun (Sun, 2013). We need innovative resource-efficient and low-carbon economy solutions for conserving resources, maximizing recovery of materials, reusing, and recycling as well as minimizing waste to respond to and pro-actively prepare for significant scientific and technological challenges of sustainable manufacturing. Manufacturers feel the pressures of public awareness of sustainability, increasing energy costs, and growing energy security concerns. A new line of research has been rapidly developing for the (S.A. Mansouri)
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 callDisclaimer: 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.
