Abstract
Eco-production and logistics with environmental consciousness are playing a larger role in manufacturing firms. They involve scheduling, planning, developing and implementing manufacturing processes and technologies that are required not only to keep productivity high but also to respond to the challenges of issues such as energy conservation and pollution preventions. Facing the central tension between manufacturing and environmental drivers is difficult, but critical to develop new technologies, particularly mobile robots, that can be incorporated into production to achieve holistic solutions. This chapter deals with the problem of finding optimal operating sequence in a manufacturing cell of a mobile robot with manipulation arm that feeds materials to feeders. The “Bartender Concept” is discussed to show the cooperation between the mobile robot and industrial environment. The performance criterion is to minimize total traveling time of the robot with the smallest consumed amount of battery energy in a given planning horizon. A mixed-integer programming (MIP) model is developed to find the optimal solutions for the problem. Two case studies are implemented at an impeller production line to demonstrate the results of the proposed MIP model.
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References
Azzone G, Noci G (1998) Identifying effective PMSs for the deployment of “Green” manufacturing strategies. Int J Oper Prod Manag 18(4):308–335
Chang GW, Aganagic M, Waight JG, Medina J, Burton T, Reeves S, Christoforidis M (2001) Experiences with mixed Integer linear programming based approaches on short-term hydro scheduling. IEEE Transac Power Syst 16(4):743–749
Chen FF, Su Q (1995) Scheduling single-gripper Gantry Robots in tightly coupled serial production lines: Optimum vs. Push/Pull concept based sequences. J Manuf Syst 14(3):139–147
Crama Y, van de Klundert J (1997) Cyclic scheduling of identical parts in a robotic cell. Oper Res 45(6):952–965
Crama Y, van de Klundert J (1999) Cyclic scheduling in 3-machine robotic flow shops. J Sched 2(1):35–54
Crama Y, Kats V, van de Klundert J, Levner E (2000) Cyclic scheduling in robotic flow shops. Annals Oper Res 96:97–124
Darnall N, Nehmann G, Priest J, Sarkis J (1994) A review of environmentally conscious manufacturing theory and practices. Int J Environ Conscious Des Manuf 3(2):49–58
Dror M, Stulman A (1987) Optimizing Robot’s service movement: a one dimensional case. Comput Ind Eng 12(1):39–46
Gungor A, Gupta SM (1999) Issues in environmentally conscious manufacturing and product recovery: a survey. Comput Ind Eng 36(4):811–853
Ilgin MA, Gupta SM (2010) Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the State of the Art. J Environ Manag 91(3):563–591
Jin K, Balasubramaniam PA (2003) Fuzzy model for environmental benign process planning selection. 3rd International Symposium on Environmentally Conscious Design and Inverse Manufacturing, pp. 731–732, doi: 10.1109/VETECF.2003.240467
Kats V, Levner E (2010) Parametric algorithms for 2-cyclic robot scheduling with interval processing times. J Sched 14(3):267–279
Kats V, Levner E (2011) A faster algorithm for 2-cyclic robotic scheduling with a fixed robot route and interval processing times. Eur J Oper Res 209(1):51–56
Krishnan N, Sheng PS (2000) Environmental versus conventional planning for machined components. CIRP Annals Manuf Technol 49(1):363–366
Maimon O, Braha D, Seth V (2000) A neural network approach for a robot task sequencing problem. Artif Intell Eng 14(2):175–189
Nielsen I, Lim M, Nielsen P (2010) Optimizing Supply Chain Waste Management through the Use of RFID Technology. 2010 IEEE International Conference on RFID-Technology and Applications, pp. 296–30, doi: 10.1109/RFID-TA.2010.5529921
Sarkis J (1995) Manufacturing strategy and environmental consciousness. Technovation 15(2):79–97
Sarkis J, Rasheed A (1995) Greening the manufacturing function. Bus Horiz 38(5):17–27
Silver EA, Pyke DF, Peterson R (eds) (1998) Inventory management and production planning and scheduling. Wiley, New York
Srinivasan M, Sheng P (1999a) Feature based process planning in environmentally conscious machining—Part 1: Microplanning. Robotics Comput Integ Manuf 15(3):257–270
Srinivasan M, Sheng P (1999b) Feature based process planning in environmentally conscious machining—Part 2: Macroplanning. Robotics Comput Integ Manuf 15(3):271–281
Suárez R, Rosell J (2005) Feeding sequence selection in a manufacturing cell with four parallel machines. Robotics Comput Integ Manuf 21(3):185–195
Toth P, Vigo D (eds) (2002) The vehicle routing problem. SIAM, Philadelphia
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This work has partly been supported by the European Commission under grant agreement number FP7-260026-TAPAS.
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Dang, QV., Nielsen, I.E., Steger-Jensen, K. (2013). Scheduling a Single Mobile Robot Incorporated into Production Environment. In: Golinska, P. (eds) EcoProduction and Logistics. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23553-5_12
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DOI: https://doi.org/10.1007/978-3-642-23553-5_12
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