By Jairo R. Montoya-Torres, Angel A. Juan, Luisa Huaccho Huatuco, Javier Faulin, Gloria L. Rodriguez-Verjan
In an international, hugely aggressive atmosphere, enterprises face expanding fiscal strain and purchaser calls for for extra complicated services and products. Hybrid algorithms have the aptitude to play a massive function in supporting firms in attaining price relief and elevated product development.
Hybrid Algorithms for provider, Computing and production structures: Routing and Scheduling Solutions explores examine advancements and functions from an interdisciplinary viewpoint that mixes techniques from operations learn, computing device technology, synthetic intelligence, and utilized computational arithmetic. Contributions hide a number hybrid set of rules thought and perform because it pertains to routing, scheduling, and real-life applications.
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Additional info for Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions
The first category, Problem type, identifies whether the model is limited to vehicle routing only, or includes vehicle routing along with another problem such as facility location or sector design. The second category, Planning level, taken from the work of Perrier et al. (2007a), classifies vehicle routing models for spreading operations according to the planning horizon considered. 18 Decisions concerning the location of vehicle or materials depots may be viewed as strategic or tactical, while decisions relating to the routing of vehicles for spreading operations usually belong to the operational planning level.
Tables 2 and 3 link the many and varied problem characteristics (category 3 of Table 1) to the key research. 2), service time 29 30 X X X X X Xin and Eglese (1989) Evans (1990), Evans and Weant (1990) Eglese (1994) Li and Eglese (1996) X X X X X X X Haghani and Qiao (2001) Haghani and Qiao (2002) Qiao (2002) Toobaie and Haghani (2004) Handa et al. (2005, 2006) Omer (2007) Tagmouti et al. (2007) X X X Gabor (2010) Tagmouti et al. (2010) Tagmouti et al. (2011) Cai et al. 1. 1. 2. 1. 2. 1. 2. 3. 1.
Speranza, M. G. (2002). Deterministic order-up-to level policies in an inventory routing problem. Transportation Science, 36, 119–132. , Speranza, M. , & Savelsbergh, M. W. P. (2008). Inventory routing. , & Wasil, E. ), Vehicle routing: Latest advances and new challenges (pp. 49–72). New York: Springer. , Speranza, M. , & Ukovich, W. (1997). Minimization of logistic costs with given frequencies. Transportation Research, 31B, 327–340. Campbell, A. , & Savelsbergh, M. W. P. (1998). , Laporte, G.
Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions by Jairo R. Montoya-Torres, Angel A. Juan, Luisa Huaccho Huatuco, Javier Faulin, Gloria L. Rodriguez-Verjan