Reverse auction with buyer–supplier negotiation using bi-level distributed programming
This study presents a framework for solving a sealed-bid, multi-issue, and multi-sourcing reverse auction problem in which negotiation takes place between the buyer and the suppliers during the bidding process. The problem is formulated as a bi-level distributed programming model in which the buyer...
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| Vydáno v: | European journal of operational research Ročník 211; číslo 3; s. 601 - 611 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
16.06.2011
Elsevier Elsevier Sequoia S.A |
| Edice: | European Journal of Operational Research |
| Témata: | |
| ISSN: | 0377-2217, 1872-6860 |
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| Abstract | This study presents a framework for solving a sealed-bid, multi-issue, and multi-sourcing reverse auction problem in which negotiation takes place between the buyer and the suppliers during the bidding process. The problem is formulated as a bi-level distributed programming model in which the buyer is the upper level decision maker, while suppliers at the lower level make decisions independent of each other. The negotiation process between the buyer and the suppliers is facilitated via the iterative exchange of decision information between the upper and lower levels of the model. The outcome of the sealed-bid auction is determined using an algorithm designed to establish the optimum quantity allocation and delivery time at the upper level and the corresponding optimized production plans at the lower level. The feasibility of the proposed approach is demonstrated via an illustrative example. |
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| AbstractList | This study presents a framework for solving a sealed-bid, multi-issue, and multi-sourcing reverse auction problem in which negotiation takes place between the buyer and the suppliers during the bidding process. The problem is formulated as a bi-level distributed programming model in which the buyer is the upper level decision maker, while suppliers at the lower level make decisions independent of each other. The negotiation process between the buyer and the suppliers is facilitated via the iterative exchange of decision information between the upper and lower levels of the model. The outcome of the sealed-bid auction is determined using an algorithm designed to establish the optimum quantity allocation and delivery time at the upper level and the corresponding optimized production plans at the lower level. The feasibility of the proposed approach is demonstrated via an illustrative example. This study presents a framework for solving a sealed-bid, multi-issue, and multi-sourcing reverse auction problem in which negotiation takes place between the buyer and the suppliers during the bidding process. The problem is formulated as a bi-level distributed programming model in which the buyer is the upper level decision maker, while suppliers at the lower level make decisions independent of each other. The negotiation process between the buyer and the suppliers is facilitated via the iterative exchange of decision information between the upper and lower levels of the model. The outcome of the sealed-bid auction is determined using an algorithm designed to establish the optimum quantity allocation and delivery time at the upper level and the corresponding optimized production plans at the lower level. The feasibility of the proposed approach is demonstrated via an illustrative example. [PUBLICATION ABSTRACT] |
| Author | Cheng, Chi-Bin |
| Author_xml | – sequence: 1 givenname: Chi-Bin surname: Cheng fullname: Cheng, Chi-Bin email: cbcheng@mail.tku.edu.tw organization: Department of Information Management, Tamkang University, 151 Yingzhuan Rd., Danshui Dist., New Taipei City, Taiwan |
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| Keywords | Negotiation Auctions/bidding Bi-level distributed programming Fuzzy mathematical programming Available to promise inventory Decision making Iterative method Bilevel programming Fuzzy programming Subcontracting Modeling Delivery lead time Reverse auction Optimization Supplier customer relationship Bargaining Feasibility Information exchange Mathematical programming |
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| SubjectTerms | Algorithms Allocations Applied sciences Auctions Auctions/bidding Available to promise inventory Bi-level distributed programming bidding Available to promise inventory Bi-level distributed programming Negotiation Fuzzy mathematical programming Bids Decision making Decision making models Decision theory. Utility theory Exact sciences and technology Feasibility Fuzzy mathematical programming Inventory control, production control. Distribution Mathematical models Mathematical problems Negotiation Negotiations Operational research Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Portfolio theory Programming Studies Suppliers |
| Title | Reverse auction with buyer–supplier negotiation using bi-level distributed programming |
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