Academic literature on the topic 'Procurement model'

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Journal articles on the topic "Procurement model"

1

Lam, Terence Y. M., and Keith S. Gale. "A Procurement Performance Model for Construction Frameworks." Journal of Engineering, Project, and Production Management 5, no. 2 (2015): 60–70. http://dx.doi.org/10.32738/jeppm.201507.0002.

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2

Rajeh, Mohammed A., John Tookey, and James Rotimi. "Procurement Selection Model: Development of a Conceptual Model Based on Transaction Costs." Australasian Journal of Construction Economics and Building - Conference Series 2, no. 2 (2014): 56. http://dx.doi.org/10.5130/ajceb-cs.v2i2.3889.

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Procurement is a major improvement area and a crucial element contributing to project success, and the selection of an optimal procurement system is an important and difficult step in project execution. The criteria for choosing suitable procurement methods are based on client’s objectives and priorities, and influenced by project constraints. The procurement path determination chart has largely dominated research in procurement selection process in construction. Eight factors need to be considered by the client when developing procurement selection criteria. At the procurement strategy the focus should be on factors such as cost, quality, and time, while at the procurement route the consideration should focus on complexity, certainty, risk, responsibility, and degree of control by the client. However, including certain criteria and ignoring the magnitude of transaction costs (TCs) associated with uncertainties in the transaction environment simplifies this process. This study addresses this shortcoming by combining evaluation criteria with TCs incurred because of external and internal environmental uncertainties in a theoretical model on procurement selection. This is achieved by developing a conceptual framework model based on TCs. Uncertainties in the transaction environment have a positive or negative impact on the magnitude of TCs such as information, procurement, administration, and enforcement. The model represents an analytical form of a suitable combination of factors influencing procurement systems, which guide procurement decisions. The model will increase understanding of how efficient procurement selection of construction projects can be achieved through appropriate procurement procedures, which could positively impact project performance.Keywords: Construction, Procurement systems, Transaction costs
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3

O Mahony, Brian. "A collaborative national procurement model for haemophilia medication procurement." International Journal of Integrated Care 17, no. 5 (2017): 327. http://dx.doi.org/10.5334/ijic.3644.

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4

Aulia, Dzaki, and Wisnu Isvara. "Strategies to Increase Procurement Maturity Level using Procurement Maturity Model to Improve Procurement Performance." International Journal of Scientific and Research Publications (IJSRP) 11, no. 6 (2021): 489–501. http://dx.doi.org/10.29322/ijsrp.11.06.2021.p11465.

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5

Kaur, Harpreet, and Surya Prakash Singh. "Environmentally sustainable stochastic procurement model." Management of Environmental Quality: An International Journal 29, no. 3 (2018): 472–98. http://dx.doi.org/10.1108/meq-04-2017-0039.

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Purpose Procurement planning has always been a huge and challenging activity for business firms, especially in manufacturing. With government legislations about global concern over carbon emissions, the manufacturing firms are enforced to regulate and reduce the emissions caused throughout the supply chain. It is observed that procurement and logistics activities in manufacturing firms contribute heavily toward carbon emissions. Moreover, highly dynamic and uncertain business environment with uncertainty in parameters such as demand, supplier and carrier capacity adds to the complexity in procurement planning. The paper aims to discuss these issues. Design/methodology/approach This paper is a novel attempt to model environmentally sustainable stochastic procurement (ESSP) problem as a mixed-integer non-linear program. The ESSP optimizes the procurement plan of the firm including lot-sizing, supplier and carrier selection by addressing uncertainty and environmental sustainability. The model applies chance-constrained-based approach to address the uncertain parameters. Findings The proposed ESSP model is solved optimally for 30 data sets to validate the proposed ESSP and is further demonstrated using three illustrations solved optimally in LINGO 10. Originality/value The ESSP model simultaneously minimizes total procurement cost and carbon emissions over the entire planning horizon considering uncertain demand, supplier and carrier capacity.
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6

Alhazmi, T., and R. McCaffer. "Project Procurement System Selection Model." Journal of Construction Engineering and Management 126, no. 3 (2000): 176–84. http://dx.doi.org/10.1061/(asce)0733-9364(2000)126:3(176).

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7

Kaur, Harpreet, and Surya Prakash Singh. "Flexible dynamic sustainable procurement model." Annals of Operations Research 273, no. 1-2 (2017): 651–91. http://dx.doi.org/10.1007/s10479-017-2434-2.

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8

Eskandarian, Mahnaz, Govindan Marthandan, C. A. Malarvizhi, and Sanaz Zolfaghar Tehrani. "Quality In E-Procurement Success." International Journal of Management & Information Systems (IJMIS) 20, no. 3 (2016): 73–86. http://dx.doi.org/10.19030/ijmis.v20i3.9742.

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Nowadays, the quality of virtual service is diminishing, in which different aspects of E-business industry is signifying, especially in the business to business (B2B). E-procurement is part of the e-business, therefore, quality factors of E-procurement originates from e-business. Much research has focused on the critical success factors of E-procurement, however, when it comes to implementation, many E-procurements fail, which can be very costly. This article attempts to increase the success rate of E-procurement, and ensures that the success of E-procurement is more sustainable. This research estimates the structural equation model by collecting data from 208 managers to employ quantitative analysis to investigate the relationship between E-procurement quality factors. The result of this research shows that the quality of the organization culture has partial mediator relationship to the success of E-procurement. Meanwhile, the quality of IT infrastructure does not have a mediator relationship with the success of E-procurement. Lastly, quality of knowledge management has a full mediator relationship with the success of E-procurement and it does not affect the dynamic capability of organization directly.
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9

Zheng, Li Hua. "Research on Green Procurement Model Based on Green Supply Chain." Advanced Materials Research 706-708 (June 2013): 2027–30. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.2027.

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Green supply chain is to supplement and perfect the traditional supply chain by introducing the green concept. Procurement to be green is rather important as one most important part of the supply chain. Its advanced to build a green procurement model, develop green procurement strategy and green procurement standards, so that green procurement and green supply chain will be benefits. In the long term, the establishment of a green procurement model, not only conducive the sustainable development of the supply chain, but also achieve environmental protection.
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10

Shi, Yuan, Ting Qu, and LK Chu. "A dynamic Stackelberg game model for portfolio procurement." Industrial Management & Data Systems 116, no. 3 (2016): 350–68. http://dx.doi.org/10.1108/imds-06-2015-0250.

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Purpose – The purpose of this paper is to propose a portfolio procurement framework to response to uncertain customer demand and purchasing price volatility in a simultaneous manner. Then it aims to obtain optimal procurement and production decisions under the portfolio framework to maximize profit. Design/methodology/approach – The portfolio procurement problem is modeled as a dynamic Stackelberg game and Nash equilibrium solutions are obtained. The portfolio procurement framework is analyzed in the settings, with both risk-neutral objective and downside risk constraints measure of contract prices. Findings – By obtaining the Nash equilibrium solutions for both the buyer’s ordering decisions and the supplier’s optimum production decisions, Stackelberg game model for portfolio procurement is proved to be feasible. Additionally, downside risk constrains are proposed to help supply chain participants’ to evaluate the profitability and risk probabilities of the designed procurement contracts under the uncertain customer demand and spot market. Research limitations/implications – This paper assumes the supplier is risk averse and the buyer is risk neutral, and it would be interesting to examine the performances of portfolio procurement strategy with different risk attitudes participants. Practical implications – This research could help the buyer respond to not only demand uncertainty but also the volatile spot price in the procurement process. Related optimal portfolio procurement strategy can be carried out to improve the enterprise’ procurement plan by adjusting the order of long-term contract, option contract and the spot market. The proposed framework could also help suppliers design and evaluate contracts for buyers with different risk preference, and on the other hand help the buyers decide if she should accept the contracts from the supplier. Social implications – This research should also increase awareness in both academia and industry on the opportunities of using the dynamic portfolio procurement approach to enhance flexibility and to mitigate the inventory as well as price risks in the procurement process. Effective downside risk constrains on contract prices could also help to protect the bottom line of companies with different risk preference. Originality/value – The portfolio procurement framework proposed in this research can mitigate inventory and price risks simultaneously. Also, instead of solving the portfolio procurement planning problem in computational simulation experiments as in previous research, this paper proposed a dynamic game model for this portfolio-based procurement problem and obtained its Nash equilibrium solutions for both the buyer’s ordering decisions and the supplier’s optimum production decisions. Finally, an innovative and simple downside risk constraints has been designed to help the buyer evaluate supplier’s contract prices according to their individual risk preference.
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