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Managing Supply for Construction Project with Uncertain Starting Date

Title:

Managing Supply for Construction Project with Uncertain Starting Date

Mobtaker, Azadeh (2012) Managing Supply for Construction Project with Uncertain Starting Date. Masters thesis, Concordia University.

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Abstract

There is a growing interest in supply management systems ¬¬in today’s competitive business environment. Importance of implementing supply management systems especially in home construction industry is due to the fact that several risks arising from different sources can adversely affect the project financially or its timely completion. Some risks of construction projects are out of managers’ control while other risks such as supply related ones can usually be controlled and directed by effective managerial tactics.
In this thesis, we address the supplier selection problem (SSP) in wood-base construction projects in the presence of project commencement uncertainties. The project could be delayed for any reason and thus materials required for the project may not be needed on the promised date, however, pursuing the supplier for new delivery date may not be easy and without risk. Accepting the delivery before the project commencement date will be again a costly option because of the high holding cost. In this thesis, we present two problem cases and present heuristic based solution approaches. In the first case we assume that price of the product increases with the delay. In the second case we assume that promised quantity at the agreed price reduces with the delay. The proposed approaches are tested on the randomly generated data set and compared with the optimal solutions.

The problems considered in this research are novel and the proposed approaches deal with the important and common risks in construction industry in order to achieve a robust supply chain. The solution approaches presented in this thesis can be applied to different industries to improve the quality and efficiency of supplier-buyer collaborations.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Mobtaker, Azadeh
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Quality Systems Engineering
Date:13 April 2012
Thesis Supervisor(s):Awasthi, A and Chauhan, S.S.
Keywords:Supplier Selection-Construction project-delay-delivery date
ID Code:973900
Deposited By: AZADEH MOBTAKER
Deposited On:19 Jun 2012 17:55
Last Modified:18 Jan 2018 17:37

References:

[1] Abginehchi S., Zanjirani Farahani R., (2010). Modeling and analysis for determining optimal suppliers under stochastic lead times. Applied Mathematical Modelling. 34 (5), pp. 1311-1328.
[2] Agarwal, N., Nahmias, S., (1997). Rationalization of the supplier base in the presence of yield uncertainty. Production and Operations Management. 6 (3), pp. 291-308.
[3] Amid A., Ghodsypour S.H., O’Brien C., (2011). A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain. International Journal of Production Economics. 131 (1), pp. 139-145.
[4] Anupindi, R., Akella, R., (1993). Diversification under supply uncertainty. Management Science. 39 (8), pp. 944-963.
[5] Assef S. A. and Al-Hejji S., (2006). Causes of delay in large construction projects. International Journal of Project Management. 24 (6), pp. 349-357.
[6] Awasthi A., Chauhan S.S., Goyal S.K., Proth J., (2009). Supplier selection problem for a single manufacturing unit under stochastic demand. International Journal of Production Economics. 117 (1), pp. 229-233.
[7] Awasthi A., D'Amours S., Chauhan S.S., Mobtaker A., (2011). Managing supply for construction project with uncertain starting date. Selected logistics problems and solutions, Monograph - pp. 177-192.
[8] Azadeh A., Alem S.M., (2010). A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: Simulation analysis. Expert Systems with Applications. 37 (12), pp. 7438-7448.
[9] Baloi D. and Price A.D.F., (2003).Modelling global risk factors affecting construction cost performance. International Journal of Project Management. 21 (4), pp. 261-269.
[10] Bhattacharya A., Geraghty J., Young P., (2010). Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment. Applied Soft Computing. 10 (4), pp. 1013-1027.
[11] Boer L., Labro E., Morlacchi R., (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management. 7, pp. 75-89.
[12] Burke G.J., Carrillo J., Vakharia A., (2007). Single versus multiple supplier sourcing strategies. European Journal of Operational Research. 182, pp. 95–112.
[13] Burke G.J., Carrillo J., Vakharia A.J., (2008). Heuristics for sourcing from multiple suppliers with alternative quantity discounts. European Journal of Operational Research. 186 (1), pp. 317-329.
[14] Burke G.J., Geunes J., Romeijnb H.E., Vakharia A., (2008). Allocating procurement to capacitated suppliers with concave quantity discounts. Operations Research Letters. 36 (1), pp. 103-109.
[15] Burke G.J., Erenguc S.S., Vakharia A.J. (2008). Optimal requirement allocation among quantity-discount quoting suppliers. Operations Management Research. 1 (1), pp. 53-60.
[16] Caron F., Marchet G., Perego A., (1998). Project logistics: integrating the procurement and construction processes. International Journal of Project Management. 16 (5), pp. 311-319.
[17] Chauhan S.S., Proth J.M., (2003). The concave cost supply problem. European Journal of Operational Research. 148 (2), pp. 374-383.
[18] Chauhan S.S., Eremeev A.V., Romanova A.A., Servakh V.V., Woeginger G.J., (2005). Approximation of the supply scheduling problem. Operations Research Letters. 33 (3), pp. 249-254.
[19] Chauhan S.S., Eremeev A.V., Kolokolov A.A., Servakh V.V., (2002). On solving concave cost supply management problem with single manufacturing unit. In: Proceedings of SCM Conference, Poland.
[20] Chang C.T., Chin C.L., Lin M.F., (2006). On the single item multi-supplier system with variable lead-time, price-quantity discount, and resource constraints. Applied Mathematics and Computation. 182 (1), pp. 89-97.
[21] Chang C.T., (2006). An acquisition policy for a single item multi-supplier system with real-world constraints. Applied Mathematical Modelling. 30 (1), pp. 1-9.
[22] Dai T., Qi X., (2007). An acquisition policy for a multi-supplier system with a finite-time horizon. Computers & Operations Research. 34 (9), pp. 2758-2773.
[23] Wu D.D., Zhang Y., Wu D., Olson D.L., (2010). Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach. European Journal of Operational Research. 200 (3), pp. 774-787.
[24] Farzipoor Saen R., (2010). Restricting weights in supplier selection decisions in the presence of dual-role factors. Applied Mathematical Modelling. 34 (10), pp. 2820-2830.
[25] Ganesan S., (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing. 58 (2), pp.1-19.
[26] Garey M., Johnson D., (1979). Computers and Intractability. A Guide to the Theory of NP-completeness. ISBN:0716710447
[27] Glock C.H., (2011). A multiple-vendor single-buyer integrated inventory model with a variable number of vendors. Computers and Industrial Engineering. 60 (1), pp. 173-182.
[28] Gosling J., Purvis L., Naim M.M., (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics. 128 (1), pp. 11–21.
[29] Hassanzadeh Amin S., Razmi J., Zhang G., (2011). Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming. Expert Systems with Applications. 38 (1), pp. 334-342.
[30] Jafari Songhori M., Tavana M., Azadeh A., Khakbaz M.H., (2010). A supplier selection and order allocation model with multiple transportation alternatives. International Journal of Advanced Manufacturing Technology. 52, pp. 365-376.
[31] Jolai F., Yazdian S.A., Shahanaghi K., Azari Khojasteh M., (2011). Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers. Journal of Purchasing & Supply Management. 17 (1), pp. 42-53.
[32] Kahraman C., Cebeci U., Ulukan Z., (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management. 16 (6), pp. 382-394.
[33] Keskin B.B., Uster H., Ctinkaya S., (2010). Integration of strategic and tactical decisions for vendor selection under capacity constraints. Computers & Operations Research. 37 (12), pp. 2182-2191
[34] Kokangul A., Susuz Z., (2009). Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount. Applied Mathematical Modelling. 33 (3), pp. 1417–1429.
[35] Kull T.J., Talluri S., (2008). A supply risk reduction model using integrated multi criteria decision making. IEEE Transactions on Engineering Management. 55 (3), pp. 409-419.
[36] Kumar V., Viswanadham N., (2007). A CBR-based Decision Support System framework for construction supply chain risk management. IEEE conference on Automation Science and Engineering. pp. 980-985.
[37] Liao Z., Rittscher J., (2007). A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics. 105 (1), pp.150-159.
[38] Li L., Zabinsky Z.B., (2011). Incorporating uncertainty into a supplier selection problem. International Journal of Production Economics. 134 (2), pp.344-356.
[39] Lee A.H.I., (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications. 36 (2), pp. 2879-2893.
[40] Luu V. T., Kim S., Tuan N. V., Ogunlana S. O., (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. International Journal of Project Management. 27 (1), pp. 39-50.
[41] Mendoza A., Ventura J.A., (2010). A serial inventory system with supplier selection and order quantity allocation. European Journal of Operational Research. 207 (3), pp. 1304-1315.
[42] Micheli G.J.L., Cagno E., Giulio A.D., (2009). Reducing the total cost of supply through risk-efficiency-based supplier selection in the EPC industry. Journal of Purchasing and Supply Management. 15 (3), pp. 166-177.
[43] Min H., (1994). International supplier selection: A multi-attribute utility approach. International Journal of Physical Distribution & Logistics Management. 24 (5), pp. 24-33.
[44] Mohammad Ebrahim R., Razmi J., Haleh H., (2009). Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment. Advances in Engineering Software. 40 (9), pp. 766-776.
[45] McCutcheon D., Stuart F., (2000). Issues in the choice of supplier alliance partners. Journal of Operations Management. 18 (3), pp. 279-301.
[46] Mohr J., Spekman R., (1994). Characteristics of partnership success: partnership attributes, communication behavior, and conflict resolution techniques. Strategic Management Journal. 15 (2), pp.135-152.
[47] Odeh A. M. and Battaineh H. T., (2002). Causes of construction delay: traditional contracts. International Journal of Project Management. 20 (1), pp.67-73.
[48] Padilla E.M., Carr R.I., (1991). Resource strategies for dynamic project management. Journal of Construction Engineering and Management 117 (2), pp. 279-293.
[49] Park M., (2005). Model-based dynamic resource management for construction projects. Automation in Construction. 14 (5), pp. 585-598.
[50] Punniyamoorthy M., Mathiyalagan P., Parthiban P., (2011). A strategic model using structural equation modeling and fuzzy logic in supplier selection. Expert Systems with Applications. 38 (1), pp. 458-474.
[51] Rezaei J., Davoodi M., (2011). Multi-objective models for lot-sizing with supplier selection. International Journal of Production Economics. 130 (1), pp.77-86.
[52] Sanayei A., Mousavi S.F., Yazdankhah A., (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications. 37 (1), pp. 24-30.
[53] Sawik T., (2010). Single vs. multiple objective supplier selection in a make to order environment. Omega. 38(3-4), pp. 203–212.
[54] Senouci A.B., Adeli H., (2001). Resource scheduling using neural dynamics model of Adeli and Park. Journal of Construction Engineering and Management. 127 (1), pp. 28-34.
[55] Shi J., Zhang G., (2010). Multi-product budget-constrained acquisition and pricing with uncertain demand and supplier quantity discounts. International Journal of Production Economics. 128 (1), pp. 322–331.
[56] Telgen J., (1994). Inzicht en overzicht: de uitdagingen van Besliskunde en Inkoopmanagement. Academical address at the University of Twente, Enschede, The Netherlands.
[57] Tsai Y.L., Yang Y.J., Lin C.H., (2010). A dynamic decision approach for supplier selection using ant colony system. Expert Systems with Applications. 37 (12), pp. 8313-8321.
[58] Wan Z., Beil D.R., (2009). RFQ Auctions with Supplier Qualification Screening. Operation Research. 57 (4), pp. 934-949.
[59] Weber C.A., Current J.R., (1993). A multi-objective approach to vender selection. European Journal of Operational Research. 68 (2), pp.173-184.
[60] Woo H.S., Saghiri S., (2011). Order assignment considering buyer, third-party logistics provider and suppliers. International Journal of Production Economics. 130 (2), pp. 144-152.
[61] Wu T., Blackhurst J., Chidambaram V., (2006). A model for inbound supply risk analysis. Computers in Industry. 57 (4), pp. 350-365.
[62] Yates J. K., (1993). Construction Decision Support System for Delay Analysis. Journal of Construction Engineering and Management.119 (2), pp. 226-245.
[63] Yeh W.C., Chuang M.C., (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications. 38 (4), pp. 4244-4253.
[64] Zhang D., Zhang J., Lai K.K., Lu Y., (2009). A novel approach to supplier selection based on vague sets group decision. Expert Systems with Applications. 36 (5), pp. 9557-9563.
[65] Zhang J., Zhang M., (2011). Supplier selection and purchase problem with fixed cost and constrained order quantities under stochastic demand. International Journal of Production Economics. 129 (1), pp.1–7.
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