Qiu-Rui He
ABSTRACT
The aim of this study is to develop a novelty order allocation through combination of a Bayesian network and a stochastic multi-objective linear programming model to help manufacturers with order allocation decisions under the uncertainty of supplier's willingness to cooperate. In this paper, we deal with the uncertainty of the willingness to cooperate through several phases. The first phase presents the determination of the factors influencing willingness to cooperate. Then Bayesian network theory is used to deal with the uncertainty of willingness to cooperate and transformation into scenarios. Finally, a stochastic multi-objective linear programming model is developed, and the weighted-sum method is utilized to solve the model. The results demonstrate the feasibility of the approaches. The order allocation model based on supplier's willingness to cooperate proposed in this paper expands the research field and reduces the carbon emission management risk of manufacturers due to the change of supplier's willingness to cooperate.
- Kannan Govindan, and R. Sivakumar. 2016. Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Ann. Oper. Res. 238, 243-276. https://doi.org/10.1007/s10479-015-2004-4Google Scholar
Cross Ref
- Chunguang Bai, Jafar Rezaei, and Joseph Sarkis. 2017. Multicriteria green supplier segmentation. IEEE Trans. Eng. Manage. 64, 515-528. https://doi.org/10.1109/TEM.2017.2723639.Google ScholarCross Ref
- Qiu-Rui He, and Ping-Kuo Chen. 2021. Family of Evaluation Criteria Based on Suppliers’ Willingness to Collaborate with Carbon Emission Management. 3rd Int. Conf. E-Bus. and E-com. Eng. 274-278. https://doi.org/10.1145/3510249.3510297Google ScholarDigital Library
- MortezaYazdani, AliEbadi Torkayesh, Željko Stević, Prasenjit Chatterjee, Sahand Asgharieh Ahari, Violeta Doval Hernandeze. 2021. An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Syst. Appl. 183, 115354. https://doi.org/10.1016/j.eswa.2021.115354Google ScholarDigital Library
- Mohammad Abbas Naqvi, and Saman Hassanzadeh Amin. 2021. Supplier selection and order allocation: a literature review. J. of Data, Inf. and Manag. 3, 125-139. https://doi.org/10.1007/s42488-021-00049-zGoogle ScholarCross Ref
- William Ho, Xiaowei Xu, Prasanta K.Dey. 2010. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. Eur. J. Oper. Res. 202, 16-24. https://doi.org/10.1016/j.ejor.2009.05.009Google ScholarCross Ref
- Seyedmohsen Hosseini, Nazanin Morshedlou, Dmitry Ivanov, M.D.Sarderd, Kash Barker, Abdullah Al Khaled. 2019. Resilient supplier selection and optimal order allocation under disruption risks. Int. J. Prod. Econ. 213, 124-137. https://doi.org/10.1016/j.ijpe.2019.03.018Google ScholarCross Ref
- Chirag Babbar, Saman Hassanzadeh Amin. 2018. A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry. Expert Syst. Appl. 92, 27-38. https://doi.org/10.1016/j.eswa.2017.09.041Google ScholarDigital Library
- Kijung Park, Gül E. Okudan Kremer, Junfeng Ma. 2018. A regional information-based multi-attribute and multi-objective decision-making approach for sustainable supplier selection and order allocation. J. Clean Prod. 187, 590-604. https://doi.org/10.1016/j.jclepro.2018.03.035Google ScholarCross Ref
- Florian Kellner, Sebastian Utz. 2019. Sustainability in supplier selection and order allocation: Combining integer variables with Markowitz portfolio theory. J. Clean Prod. 214, 462-474. https://doi.org/10.1016/j.jclepro.2018.12.315Google ScholarCross Ref
- Zhenzhong Zhang, Chunxiang Guo, Wenjie Ruan, Wei Wang, Peng Zhou. 2022. An intelligent stochastic optimization approach for stochastic order allocation problems with high-dimensional order uncertainties. Comput. Ind. Eng. 167, 108008. https://doi.org/10.1016/j.cie.2022.108008Google ScholarDigital Library
- Amir Arabsheybani, Mohammad Mahdi Paydar, Abdul Sattar Safaei. 2018. An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk. J. Clean Prod. 190, 577-591. https://doi.org/10.1016/j.jclepro.2018.04.167Google ScholarCross Ref
- Shahrzad Ahmadi, Saman Hassanzadeh Amin. 2019. An integrated chance-constrained stochastic model for a mobile phone closed-loop supply chain network with supplier selection. J. Clean Prod. 226, 988-1003. https://doi.org/10.1016/j.jclepro.2019.04.132Google ScholarCross Ref
- Mehmet Alegoz, Haluk Yapicioglu. 2019. Supplier selection and order allocation decisions under quantity discount and fast service options. Sustain. Prod. Consump. 18, 179-189. https://doi.org/10.1016/j.spc.2019.02.006Google ScholarCross Ref
- Hadi Moheb-Alizadeh, Robert Handfield. 2019. Sustainable supplier selection and order allocation: A novel multi-objective programming model with a hybrid solution approach. Comput. Ind. Eng. 129, 192-209. https://doi.org/10.1016/j.cie.2019.01.011Google ScholarDigital Library
- Remica Aggarwal, Surya Prakash Singh, P.K. Kapur. 2018. Integrated dynamic vendor selection and order allocation problem for the time dependent and stochastic data. Benchmarking: An Int. J. 25, 777-796. https://doi.org/10.1108/BIJ-05-2017-0085Google ScholarCross Ref
- Gulcin Bektur. 2020. An integrated methodology for the selection of sustainable suppliers and order allocation problem with quantity discounts, lost sales and varying supplier availabilities. Sustain. Prod. Consump. 23, 111-127. https://doi.org/10.1016/j.spc.2020.05.006Google ScholarCross Ref
- Jui-Tsung Wong. 2020. Dynamic procurement risk management with supplier portfolio selection and order allocation under green market segmentation. J. Clean Prod. 253, 119835. https://doi.org/10.1016/j.jclepro.2019.119835Google ScholarCross Ref
- Mahsa Noori-Daryan, Ata Allah Taleizadeh, Fariborz Jolai. 2019. Analyzing pricing, promised delivery lead time, supplier-selection, and ordering decisions of a multi-national supply chain under uncertain environment. Int. J. Prod. Econ. 209, 236-248. https://doi.org/10.1016/j.ijpe.2017.12.019Google ScholarCross Ref
- Sirin Suprasongsin, Pisal Yenradee, and Van-Nam Huynh. 2020. A weight-consistent model for fuzzy supplier selection and order allocation problem. Ann. Oper. Res. 293, 587-605. https://doi.org/10.1007/s10479-019-03354-4Google ScholarCross Ref
- Hossein Mirzaee, B.Naderi, and S.H.R.Pasandideh. 2018. A preemptive fuzzy goal programming model for generalized supplier selection and order allocation with incremental discount. Comput. Ind. Eng. 122, 292-302. https://doi.org/10.1016/j.cie.2018.05.042Google ScholarDigital Library
- Qiu-Rui He, and Ping-Kuo Chen. 2022. Developing a green supplier evaluation system for the Chinese semiconductor manufacturing industry based on supplier willingness. Oper. Manag. Res. 1-18. https://doi.org/10.1007/s12063-022-00299-zGoogle ScholarCross Ref
Index Terms
- Development of the novelty order allocation model based on supplier's willingness – Combination of a Bayesian network and a stochastic multi-objective linear programming
Recommendations
A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems
In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to ...
A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry
A novel Fuzzy QFD model is proposed for determining the weights of the suppliers.A stochastic multi-objective programming model is developed for order allocation.The application of the model is shown in beverages industry.Environmental factors in the ...
An order allocation methodology based on customer repurchase motivation drivers using blockchain technology
Highlights- The connection between order allocation and blockchain is built.
- A bi-level ...
AbstractIn the e-commerce market, the cost of customer acquisition continues to rise. One of the main profits for e-commerce companies comes from repurchase; therefore, increasing customer’s repurchase motivation can effectively increase ...
Comments