Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction

Automation in Construction - Tập 84 - Trang 146-153 - 2017
Mehrdad Arashpour1, Yu Bai2, Guillermo Aranda-mena1, Alireza Bab-Hadiashar3, Reza Hosseini4, Pushpitha Kalutara4
1School of Property, Construction and Project Management, RMIT University, 360 Swanston St, Melbourne, VIC 3000, Australia
2Department of Civil Engineering, Monash University, 23 College Walk, VIC 3800, Australia
3School of Engineering, RMIT University, 360 Swanston St, Melbourne, VIC 3000, Australia
4School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia

Tài liệu tham khảo

Blismas, 2010, Concrete prefabricated housing via advances in systems technologies: development of a technology roadmap, Eng. Constr. Archit. Manag., 17, 99, 10.1108/09699981011011357 Mwamila, 1999, Semi-prefabrication concrete techniques in developing countries, Build. Res. Inf., 27, 165, 10.1080/096132199369507 Arashpour, 2016, Off-site construction optimization: sequencing multiple job classes with time constraints, Autom. Constr., 71, 262, 10.1016/j.autcon.2016.08.001 Li, 2016, Schedule risks in prefabrication housing production in Hong Kong: a social network analysis, J. Clean. Prod. Khalili, 2013, IFC-based framework to move beyond individual building elements toward configuring a higher level of prefabrication, J. Comput. Civ. Eng., 27, 243, 10.1061/(ASCE)CP.1943-5487.0000203 Jaillon, 2009, The evolution of prefabricated residential building systems in Hong Kong: a review of the public and the private sector, Autom. Constr., 18, 239, 10.1016/j.autcon.2008.09.002 Chen, 2010, Decision support for construction method selection in concrete buildings: prefabrication adoption and optimization, Autom. Constr., 19, 665, 10.1016/j.autcon.2010.02.011 Arashpour, 2015, Autonomous production tracking for augmenting output in off-site construction, Autom. Constr., 53, 13, 10.1016/j.autcon.2015.03.013 Satasivam, 2016, Mechanical performance of modular FRP-steel composite beams for building construction, Mater. Struct., 49, 4113, 10.1617/s11527-015-0776-2 Satasivam, 2014, Mechanical performance of bolted modular GFRP composite sandwich structures using standard and blind bolts, Compos. Struct., 117, 59, 10.1016/j.compstruct.2014.06.011 Nissilä, 2014, BIM based schedule control for precast concrete supply chain, 667 Mignone, 2016, Enhancing collaboration in BIM-based construction networks through organisational discontinuity theory: a case study of the new Royal Adelaide Hospital, 1 Mao, 2015, Major barriers to off-site construction: the developer's perspective in China, J. Manag. Eng., 31 Arashpour, 2017, Optimal process integration architectures in off-site construction: theorizing the use of multi-skilled resources, 1 Polat, 2006, Economics of on-site vs. off-site fabrication of rebar, Constr. Manag. Econ., 24, 1185, 10.1080/01446190500529432 Pan, 2012, Strategies for integrating the use of off-site production technologies in house building, J. Constr. Eng. Manag., 138, 1331, 10.1061/(ASCE)CO.1943-7862.0000544 Arashpour, 2016, Analysis of interacting uncertainties in on-site and off-site activities: implications for hybrid construction, Int. J. Proj. Manag., 34, 1393, 10.1016/j.ijproman.2016.02.004 Che, 2008, Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products, Comput. Ind. Eng., 55, 110, 10.1016/j.cie.2007.12.005 Arashpour, 2017, Integrated management of on-site, coordination and off-site uncertainty: theorizing risk analysis within a hybrid project setting, Int. J. Proj. Manag., 35, 647, 10.1016/j.ijproman.2017.02.016 Walsh, 2004, Cost of risk transfer: pricing agreements in residential supply chains, J. Archit. Eng., 10, 112, 10.1061/(ASCE)1076-0431(2004)10:3(112) Chandra, 2007 Arashpour, 2015, Developing an uncertainty analysis model for off-site building production, 1121 Voordijk, 2006, Modularity in supply chains: a multiple case study in the construction industry, Int. J. Oper. Prod. Manag., 26, 600, 10.1108/01443570610666966 Arashpour, 2016, Quantitative analysis of rate-driven and due date-driven construction: production efficiency, supervision, and controllability in residential projects, J. Constr. Eng. Manag., 142, 04015006, 10.1061/(ASCE)CO.1943-7862.0001032 Van Weele, 2009 Gosling, 2012, Identifying and categorizing the sources of uncertainty in construction supply chains, J. Constr. Eng. Manag., 139, 102, 10.1061/(ASCE)CO.1943-7862.0000574 Walsh, 2004, Strategic positioning of inventory to match demand in a capital projects supply chain, J. Constr. Eng. Manag., 130, 818, 10.1061/(ASCE)0733-9364(2004)130:6(818) Barzoki, 2011, Effects of imperfect products on lot sizing with work in process inventory, Appl. Math. Comput., 217, 8328 Liu, 2010 Im, 2009, Formulation of a pull production system for optimal inventory control of temporary rebar assembly plants, Can. J. Civ. Eng., 36, 1444, 10.1139/L09-072 Lu, 2016, Construction material safety-stock determination under nonstationary stochastic demand and random supply yield, IEEE Trans. Eng. Manag., 10.1109/TEM.2016.2536146 Aissaoui, 2007, Supplier selection and order lot sizing modeling: a review, Comput. Oper. Res., 34, 3516, 10.1016/j.cor.2006.01.016 Chan, 2015, Application of nonlinear-autoregressive-exogenous model to predict the hysteretic behaviour of passive control systems, Eng. Struct., 85, 1, 10.1016/j.engstruct.2014.12.007 Cigolini, 2014, Linking supply chain configuration to supply chain performance: a discrete event simulation model, Simul. Model. Pract. Theory, 40, 1, 10.1016/j.simpat.2013.08.002 Tennant, 2014, Theory to practice: a typology of supply chain management in construction, Int. J. Constr. Manag., 14, 56 Safa, 2017, Construction contract management using value packaging systems, Int. J. Constr. Manag., 17, 50 Naim, 2003, An innovative supply chain strategy for customized housing, Constr. Manag. Econ., 21, 593, 10.1080/0144619032000134129 Lee, 2013, A fully autonoemous kernel-based online learning neural network model and its application to building cooling load prediction, Soft. Comput., 18, 1999, 10.1007/s00500-013-1181-9 Forsman, 2012, Need for innovation in supplying engineer-to-order joinery products to construction: a case study in Sweden, Constr. Innov., 12, 464, 10.1108/14714171211272225 Khalfan, 2011, Supply chain integration through innovative procurement, Malays. Constr. Res. J., 8, 52 Arashpour, 2014, Framework for improving workflow stability: deployment of optimized capacity buffers in a synchronized construction production, Can. J. Civ. Eng., 41, 995, 10.1139/cjce-2014-0199 Arashpour, 2015, Optimization of process integration and multi-skilled resource utilization in off-site construction, Autom. Constr., 50, 72, 10.1016/j.autcon.2014.12.002 Cutting-Decelle, 2007, A review of approaches to supply chain communications: from manufacturing to construction, Electron. J. Inf. Technol. Constr., 12, 73 Safa, 2016, Optimizing contractor selection for construction packages in capital projects, J. Comput. Civ. Eng., 30, 04016002, 10.1061/(ASCE)CP.1943-5487.0000555 Arashpour, 2015, Single capstone or multiple cornerstones? Distributed model of capstone subjects in construction education, 971 Harper, 2005, Success of supplier alliances for capital projects, J. Constr. Eng. Manag., 131, 979, 10.1061/(ASCE)0733-9364(2005)131:9(979) Jagtap, 2015, Evaluating the modus operandi of construction supply chains using organisation control theory, Int. J. Constr. Supply Chain Manag., 5, 16, 10.14424/ijcscm501015-16-33 Morledge, 2009, The concept and development of supply chain management in the UK construction industry, 23 Minchin, 2013, Sino-american opinions and perceptions of counterfeiting in the construction supply chain, J. Constr. Eng. Manag., 139, 1, 10.1061/(ASCE)CO.1943-7862.0000564 Xiang, 2016, Hybrid simulation modeling of hoist downpeak operations in construction sites, 156 Castro-Lacouture, 2007, Supply chain optimization tool for purchasing decisions in B2B construction marketplaces, Autom. Constr., 16, 569, 10.1016/j.autcon.2006.08.005 Min, 2008, Agent-based construction supply chain simulator (CS2) for measuring the value of real-time information sharing in construction, J. Manag. Eng., 24, 245, 10.1061/(ASCE)0742-597X(2008)24:4(245) Ng, 2006, A parallel bargaining protocol for automated sourcing of construction suppliers, Autom. Constr., 15, 365, 10.1016/j.autcon.2005.07.004 Yang, 2005, Stochastic resource-constrained scheduling for repetitive construction projects with uncertain supply of resources and funding, Int. J. Proj. Manag., 23, 546, 10.1016/j.ijproman.2005.03.003 Vidalakis, 2013, Demand uncertainty in construction supply chains: a discrete event simulation study, J. Oper. Res. Soc., 64, 1194, 10.1057/jors.2012.156 Arashpour, 2015, Analysis of workflow variability and its impacts on productivity and performance in construction of multistory buildings, J. Manag. Eng., 31, 04015006, 10.1061/(ASCE)ME.1943-5479.0000363 Safa, 2014, Supplier selection process in an integrated construction materials management model, Autom. Constr., 48, 64, 10.1016/j.autcon.2014.08.008 Pearson, 2008, Prioritizing edge over node: process control in supply chain networks and push-pull strategies, J. Oper. Res. Soc., 59, 494, 10.1057/palgrave.jors.2602314 Hopp, 2011, Mitigating the impact of disruptions in supply chains, 21 Almaian, 2016, Analyzing effective supplier-quality-management practices using simple multiattribute rating technique and value-focused thinking, J. Manag. Eng., 32 Love, 2004, A seamless supply chain management model for construction, J. Supply Chain Manag., 9, 43, 10.1108/13598540410517575 Hong, 2005, An effective supplier selection method for constructing a competitive supply-relationship, Expert Syst. Appl., 28, 629, 10.1016/j.eswa.2004.12.020 Arbulu, 2003, Value stream analysis of a re-engineered construction supply chain, Build. Res. Inf., 31, 161, 10.1080/09613210301993 Arashpour, 2014, Analysis of disruptions caused by construction field rework on productivity in residential projects, J. Constr. Eng. Manag., 140, 04013053, 10.1061/(ASCE)CO.1943-7862.0000804 Fearne, 2006, Efficiency versus effectiveness in construction supply chains: the dangers of “lean” thinking in isolation, J. Supply Chain Manag., 11, 283, 10.1108/13598540610671725 Stadtler, 2015 Ulaga, 2006, Value-based differentiation in business relationships: gaining and sustaining key supplier status, J. Mark., 70, 119, 10.1509/jmkg.2006.70.1.119 Dainty, 2001, Subcontractor perspectives on supply chain alliances, Constr. Manag. Econ., 19, 841, 10.1080/01446190110089727 Love, 2002, A model for supporting inter-organizational relations in the supply chain, Eng. Constr. Archit. Manag., 9, 2 Arashpour, 2013, A new approach for modelling variability in residential construction projects, Australas. J. Constr. Econ. Build., 13, 83, 10.5130/ajceb.v13i2.3120 Ma, 2016, Differential dynamic evolutionary model of emergency financial service supply chain in natural disaster risk management, Discret. Dyn. Nat. Soc., 2016, 10.1155/2016/5103716 Lam, 2010, A material supplier selection model for property developers using fuzzy principal component analysis, Autom. Constr., 19, 608, 10.1016/j.autcon.2010.02.007 Azambuja, 2012, Rapid assessment and selection of engineered equipment suppliers, Autom. Constr., 22, 587, 10.1016/j.autcon.2011.12.004 Zhai, 2016, Production lead-time hedging and coordination in prefabricated construction supply chain management, Int. J. Prod. Res., 1 Golroudbary, 2015, System dynamics model for optimizing the recycling and collection of waste material in a closed-loop supply chain, Simul. Model. Pract. Theory, 53, 88, 10.1016/j.simpat.2015.02.001 Arashpour, 2012, Valuing the contribution of knowledge-oriented workers to projects: a merit based approach in the construction industry, Australas. J. Constr. Econ. Build., 12, 1, 10.5130/ajceb.v12i4.2724 Demiralp, 2012, Analyzing the benefits of RFID technology for cost sharing in construction supply chains: a case study on prefabricated precast components, Autom. Constr., 24, 120, 10.1016/j.autcon.2012.02.005 Kim, 2016, Supply chain cost model for prefabricated building material based on time-driven activity-based costing, Can. J. Civ. Eng., 43, 287, 10.1139/cjce-2015-0010